2026
Journal Articles
Pichardo-Velázquez, Isabela; Morales, Richard Dean; Marvuglia, Antonino
Fragmentation Across Scales, Geography, and Climate Challenges in European Urban Climate Change Adaptation and Mitigation Research: A Bibliometric and Systematic Review Journal Article
In: Sustainable Development, 2026.
@article{nokey,
title = {Fragmentation Across Scales, Geography, and Climate Challenges in European Urban Climate Change Adaptation and Mitigation Research: A Bibliometric and Systematic Review},
author = {Isabela Pichardo-Velázquez and Richard Dean Morales and Antonino Marvuglia },
url = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/sd.71007
},
doi = {/10.1002/sd.71007},
year = {2026},
date = {2026-03-18},
urldate = {2026-03-18},
journal = {Sustainable Development},
abstract = {European urban climate change research lacks integration across scales, geography, and climate challenges, despite Europe's coordinated policy frameworks. Through a hybrid bibliometric and systematic review of 1528 studies (2010–2025) using Cortext Manager and PRISMA 2020 guidelines, this study maps the conceptual patterns, knowledge gaps, and adaptation and mitigation measures in European urban climate change research. Findings reveal: (1) scale fragmentation between building- and city-level research; (2) geographic concentration in Italy, the United Kingdom, Spain, and Germany, neglecting the diversity of European urban typologies; and (3) isolated approaches to interconnected climate challenges, with Urban Heat Island (UHI) dominating the literature. This systemic fragmentation limits cities' capacity to evaluate co-benefits, trade-offs, and strategies aligned with SDG 11 targets. Based on an empirically derived taxonomy of European urban climate action, the study proposes a research agenda calling for transdisciplinary frameworks and integrated modeling approaches to bridge these silos and support evidence-based climate policy.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Richards, Christina L; Ervens, Barbara; Parmesan, Camille; Amato, Pierre; Andrade, Christhel; Asatryan, Gayane; Balaji, Venkatramani; Ballantyne, Ashley; Barbier, Marc; Blanc, Stéphane; Bossdorf, Oliver; Bouchard, Frédéric; Boucharel, Julien; Cantrell, Christopher; Capron, Emilie; Carbonne, Chloe; Carrier, Marion; Ceratti, Davide; Choi, Heechae; Christoforodis, Konstantinos; Clark, James; Cojocaru, Ludmila; Derry, Louis; Dewar, William; Dubo, Titouan; Espinoza, Jhan-Carlo; Fedorov, Alexey; Forte, Alessandro; Giambastiani, Giuliano; Giannini, Alessandra; Goldthau, Andreas; González-García, Alberto; Guemas, Virginie; Hamelin, Lorie; Hill, Eric; Hoveyda, Amir; Hughes-Allan, Lara; Jatav, Sanjay; Javourez, Ugo; Kaplan, Jed; Keppetipola, Nilanka; Kiko, Rainer; Lauvaux, Thomas; Lazarus, David; Lee, Carol Eunmi; Lguensat, Redouane; Lucas-Picher, Philippe; Mallick, Monalisa; da Costa, Joenio Marques; Melnikova, Irina; Monnain, Guillaume; Özen, Volkan; Palomo, Ignacio; Parepa, Madalin; Possner, Anna; Renard, Delphine; Ridde, Valery; Rivada-Wheelaghan, Orestes; de Faria, Gabrielle Rodrigues; Sanderson, Benjamin; Scheer, Clemens; Schulz, Philip; Strutz, Stavana; Subramanian, R; Tanaka, Katsumasa; Teixidó, Núria; Tesche, Matthias; Thomas, Helmuth; Todorović, Sara; Tsai, Yutsung; Turnheim, Bruno; Uchida, Takaya; Vadez, Vincent; Valla, Pierre; van Riemsdijk, Isolde; Villard, Lionel; Vincent, Emmanuel; Wang, Chien; Wu, Henry; Zuerch, Michael
Multidisciplinary science funding is more than ever a planetary priority: Reflections from the Make Our Planet Great Again (MOPGA) program Journal Article
In: PLOS Climate, 2026.
@article{Richards2026,
title = {Multidisciplinary science funding is more than ever a planetary priority: Reflections from the Make Our Planet Great Again (MOPGA) program},
author = {Christina L Richards and Barbara Ervens and Camille Parmesan and Pierre Amato and Christhel Andrade and Gayane Asatryan and Venkatramani Balaji and Ashley Ballantyne and Marc Barbier and Stéphane Blanc and Oliver Bossdorf and Frédéric Bouchard and Julien Boucharel and Christopher Cantrell and Emilie Capron and Chloe Carbonne and Marion Carrier and Davide Ceratti and Heechae Choi and Konstantinos Christoforodis and James Clark and Ludmila Cojocaru and Louis Derry and William Dewar and Titouan Dubo and Jhan-Carlo Espinoza and Alexey Fedorov and Alessandro Forte and Giuliano Giambastiani and Alessandra Giannini and Andreas Goldthau and Alberto González-García and Virginie Guemas and Lorie Hamelin and Eric Hill and Amir Hoveyda and Lara Hughes-Allan and Sanjay Jatav and Ugo Javourez and Jed Kaplan and Nilanka Keppetipola and Rainer Kiko and Thomas Lauvaux and David Lazarus and Carol Eunmi Lee and Redouane Lguensat and Philippe Lucas-Picher and Monalisa Mallick and Joenio Marques da Costa and Irina Melnikova and Guillaume Monnain and Volkan Özen and Ignacio Palomo and Madalin Parepa and Anna Possner and Delphine Renard and Valery Ridde and Orestes Rivada-Wheelaghan and Gabrielle Rodrigues de Faria and Benjamin Sanderson and Clemens Scheer and Philip Schulz and Stavana Strutz and R Subramanian and Katsumasa Tanaka and Núria Teixidó and Matthias Tesche and Helmuth Thomas and Sara Todorović and Yutsung Tsai and Bruno Turnheim and Takaya Uchida and Vincent Vadez and Pierre Valla and Isolde van Riemsdijk and Lionel Villard and Emmanuel Vincent and Chien Wang and Henry Wu and Michael Zuerch},
url = {https://journals.plos.org/climate/article?id=10.1371/journal.pclm.0000849},
doi = {/10.1371/journal.pclm.0000849},
year = {2026},
date = {2026-03-11},
journal = {PLOS Climate},
abstract = {Global change poses “wicked problems” that have become ever more complex, pervasive, and damaging. Developing innovative solutions increasingly require diverse research approaches. The Franco-German Make Our Planet Great Again (MOPGA) program was designed to create a unique international network of top-level research, from fundamental to solution-oriented projects. MOPGA stands out from other large research initiatives by focusing not on a singular central research challenge but on facilitating multidisciplinary interactions between traditionally separated fields. MOPGA recognized that social, natural and engineering sciences share a unifying aim to address global change. In addition to addressing timely and innovative research questions within disciplines, MOPGA worked to improve communication across disciplines via annual meetings for all laureates and their research groups, scientific board exchanges, and public online seminars. Drawing on our MOPGA experiences, we discuss how such exchanges should be extended to meet the needs identified by the scientific community, international policy-makers, and regional stakeholders. In the current political landscape of scientific suppression and heightened mistrust in scientific expertise, the need for such bold, independent and collaborative scientific initiatives is greater than ever.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
van Wyk, Angus John; Stuart-Smith, Rick D.; Goetze, Jordan S.; Maire, Eva; Heyns-Veale, Elodie; Smit, Kaylee; Langlois, Tim J.; MacNeil, M. Aaron; Matus, Alejandro Perez; Lombard, Amanda T.; Carolina, Ana; Semmens, Christy; Clausius, Ella; Rolim, Fernanda A.; Lefcheck, Jonathan S.; Monk, Jacquomo; Schmid, Joanna K.; Tattersall, Katherine; Ghigliotti, Laura; Adams, Luther; Samoilys, Melita; Chabanet, Pascale; Whomersley, Paul; Walsh, Peter; Masuda, Reiji; Brainard, Russell; Bernard, Anthony
Global Analysis of Shallow Underwater Fish Observation Research: 70 Years of Progress, Persistent Geographic Biases and a Path Forward Journal Article
In: Fish and Fisheries, 2026.
@article{vanWyk2026,
title = {Global Analysis of Shallow Underwater Fish Observation Research: 70 Years of Progress, Persistent Geographic Biases and a Path Forward},
author = {Angus John van Wyk and Rick D. Stuart-Smith and Jordan S. Goetze and Eva Maire and Elodie Heyns-Veale and Kaylee Smit and Tim J. Langlois and M. Aaron MacNeil and Alejandro Perez Matus and Amanda T. Lombard and Ana Carolina and Christy Semmens and Ella Clausius and Fernanda A. Rolim and Jonathan S. Lefcheck and Jacquomo Monk and Joanna K. Schmid and Katherine Tattersall and Laura Ghigliotti and Luther Adams and Melita Samoilys and Pascale Chabanet and Paul Whomersley and Peter Walsh and Reiji Masuda and Russell Brainard and Anthony Bernard},
url = {https://onlinelibrary.wiley.com/doi/10.1111/faf.70072
https://onlinelibrary.wiley.com/doi/epdf/10.1111/faf.70072},
doi = {/10.1111/faf.70072},
year = {2026},
date = {2026-02-15},
urldate = {2026-02-15},
journal = {Fish and Fisheries},
abstract = {Marine ecosystems are increasingly threatened by overfishing, pollution, coastal development and climate change, underscoring the need for long-term, representative information on key fish populations and habitats to inform management and policy. Underwater fish observation (UFObs) techniques, such as Underwater Visual Census (UVC), stereo-Baited Remote Underwater Video (stereo-BRUV) and Remotely Operated Vehicles (ROVs), play a key role in sustaining long-term data collection. Despite technological advancements, gaps persist in understanding research focus, geographic distribution and methodological biases inherent in these methods. We conducted a scientometric analysis of 1443 peer-reviewed publications (1953–2023), employing natural language processing and network analysis to map the research landscape. We identified 15 knowledge clusters, including marine protected areas, apex predator conservation and reef ecosystems. Our findings reveal increasing use of BRUVS and ROVs in studies of marine protected areas and subsea infrastructure, while UVC remains prevalent in shallow coral reef research. Geographic representation is skewed, with the field dominated by researchers based in Australia and the United States, and underrepresented in Africa and Southeast Asia. This imbalance highlights the need for more inclusive, globally coordinated monitoring and reporting. Our results underscore the urgency of standardising protocols within each observation method and developing interoperable reporting frameworks across techniques to maximise data comparability and foster international collaboration. Addressing these challenges will strengthen the field's capacity to inform global conservation strategies and support sustainable fisheries management.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Rosa, Christian Jordan O. Dela; Rivera, Windell L.
Bacteroides research in Southeast Asia (1995– 2025): A bibliometric analysis of trends, themes, and gaps Journal Article
In: SciEnggJ, vol. 18, 2026.
@article{Rosa2026,
title = {Bacteroides research in Southeast Asia (1995– 2025): A bibliometric analysis of trends, themes, and gaps},
author = {Christian Jordan O. Dela Rosa and Windell L. Rivera},
url = {https://scienggj.org/2025/2025%20Special%20Issue/48/SciEnggJ%202025%20Special%20Issue%20549-561-Dela%20Rosa%20and%20Rivera.pdf},
doi = {/10.54645/202518SupFSB-19},
year = {2026},
date = {2026-02-06},
urldate = {2026-02-06},
journal = {SciEnggJ},
volume = {18},
abstract = {Bacteroides spp. are among the most dominant members of the gut microbiota of homeothermic animals, surpassing commonly cited genera such as Escherichia, Lactobacillus, and Bifidobacterium. Their predominance supports their role as mutualists or commensals within the gastrointestinal tract. However, disruption of gut barrier integrity may allow Bacteroides to translocate to extraintestinal sites, where they can cause opportunistic infections.
Moreover, Bacteroides species are notable for their high levels of clinical antimicrobial resistance and for harboring diverse resistance mechanisms among anaerobic gut bacteria. This study aimed to characterize regional research trends on Bacteroides through a bibliometric analysis of publications indexed in the Scopus database. All eligible original research articles on Bacteroides originating from Southeast Asian (SEA) countries were retrieved, and bibliographic and citation data were analyzed.
Selected datasets were visualized using the CorText platform. A total of 113 Bacteroides-related research articles published between 1995 and 2025 were identified from SEA. Research output showed a marked increase beginning in 2019, peaking in 2023.
Singapore and Thailand emerged as the leading contributors to Bacteroides research in the region, with Singapore also dominating in terms of productive institutions and individual authors.
Moreover, the majority of the journals in which Bacteroides research was published were top-tier. The most highly cited article (TC = 2,375) was an international collaborative study led by a Singapore-based researcher and conducted in France. Frequently occurring keywords included “gut/fecal microbiome,” “resistance gene(s),” “microbial source tracking,” and "fecal pollution.”
Overall, this bibliometric analysis of the Bacteroides research landscape in SEA underscores the relatively limited volume and scope of studies in the region. The findings highlight the need to expand research efforts toward a more comprehensive understanding of Bacteroides epidemiology, ecology, and clinical relevance beyond the gut microbiome context.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Moreover, Bacteroides species are notable for their high levels of clinical antimicrobial resistance and for harboring diverse resistance mechanisms among anaerobic gut bacteria. This study aimed to characterize regional research trends on Bacteroides through a bibliometric analysis of publications indexed in the Scopus database. All eligible original research articles on Bacteroides originating from Southeast Asian (SEA) countries were retrieved, and bibliographic and citation data were analyzed.
Selected datasets were visualized using the CorText platform. A total of 113 Bacteroides-related research articles published between 1995 and 2025 were identified from SEA. Research output showed a marked increase beginning in 2019, peaking in 2023.
Singapore and Thailand emerged as the leading contributors to Bacteroides research in the region, with Singapore also dominating in terms of productive institutions and individual authors.
Moreover, the majority of the journals in which Bacteroides research was published were top-tier. The most highly cited article (TC = 2,375) was an international collaborative study led by a Singapore-based researcher and conducted in France. Frequently occurring keywords included “gut/fecal microbiome,” “resistance gene(s),” “microbial source tracking,” and "fecal pollution.”
Overall, this bibliometric analysis of the Bacteroides research landscape in SEA underscores the relatively limited volume and scope of studies in the region. The findings highlight the need to expand research efforts toward a more comprehensive understanding of Bacteroides epidemiology, ecology, and clinical relevance beyond the gut microbiome context.
Conferences
Mensikova, Anastasija; Rizzo, Donna M.; Hinkelman, Kathryn
Mapping the landscape of artificial intelligence in life cycle assessment using large language models Conference
2026, (Preprint for the ASME 2026 20th international conference on energy sustainability).
@conference{Mensikova2026,
title = {Mapping the landscape of artificial intelligence in life cycle assessment using large language models},
author = {Anastasija Mensikova and Donna M. Rizzo and Kathryn Hinkelman},
url = {https://arxiv.org/pdf/2602.22500},
year = {2026},
date = {2026-02-25},
urldate = {2026-02-25},
abstract = {Integration of artificial intelligence (AI) into life cycle assessment (LCA) has accelerated in recent years, with numerous studies successfully adapting machine learning algorithms to support various stages of LCA. Despite this rapid development, comprehensive and broad synthesis of AI-LCA research remains limited. To address this gap, this study presents a detailed review of published work at the intersection of AI and LCA, leveraging large language models (LLMs) to identify current trends, emerging themes, and future directions. Our analyses reveal that as LCA research continues to expand, the adoption of AI technologies has grown dramatically, with a noticeable shift toward LLM-driven approaches, continued increases in ML applications, and statistically significant correlations between AI approaches and corresponding LCA stages. By integrating LLM-based text-mining methods with traditional literature review techniques, this study introduces a dynamic and effective framework capable of capturing both high-level research trends and nuanced conceptual patterns (themes) across the field. Collectively, these findings demonstrate the potential of LLM-assisted methodologies to support large-scale, reproducible reviews across broad research domains, while also evaluating pathways for computationally-efficient LCA in the context of rapidly developing AI technologies. In doing so, this work helps LCA practitioners incorporate state-of-the-art tools and timely insights into environmental assessments that can enhance the rigor and quality of sustainability-driven decisions and decision-making processes.},
note = {Preprint for the ASME 2026 20th international conference on energy sustainability},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Proceedings Articles
Lefèvre, Aude Dorchies; Matt, Mireille; Weber, Matthias
Evolution of directionality for transformative and mission-oriented innovation policies: the case of agriculture in France since 2000 Proceedings Article
In: 2026.
@inproceedings{Lefèvre2026,
title = {Evolution of directionality for transformative and mission-oriented innovation policies: the case of agriculture in France since 2000},
author = {Aude Dorchies Lefèvre and Mireille Matt and Matthias Weber},
url = {https://ssrn.com/abstract=6340222
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6340222},
doi = {/10.2139/ssrn.6340222},
year = {2026},
date = {2026-03-04},
abstract = {Designed to foster sociotechnical transformations in response to contemporary societal challenges, the approach of transformative and mission-oriented innovation policies requires ‘directionality’ i.e., clearly defined and shared orientations capable of guiding innovation towards coherent and targeted system changes. While earlier innovation policies were implicitly directed towards growth and competitiveness as generic goals, the transformative perspective makes its directional ambitions explicit and entails adjustments across the three components of the policy mix: strategy, instruments and governance. Recently, innovation scholars started to examine how directionality unfolds in concrete policy processes and what implications this entails for governance policy strategy. This contribution focuses on analyzing the shifts required at the level of policy instruments that inform and operationalize strategies. We conceptualize directionality as a strategic orientation – encompassing goals, development paths, and innovation approaches – implemented through a dynamic instrument mix. To capture the joint evolution of strategic orientation and instruments, we develop a framework and apply it to a longitudinal analysis of French agricultural innovation policy (2000-2025). Two mechanisms are shown to be crucial for underpinning the emergence of transformative directionality: lineage-adaptation and co-evolution.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
PhD Theses
Garza, Francisco Garrido
Understanding the directionality of agroecological transitions through the lens of market infrastructures : A study of market construction for agroecology in different contexts PhD Thesis
Université Gustave Eiffel, 2026, (HAL Id: tel-05584310).
@phdthesis{Garza2026,
title = {Understanding the directionality of agroecological transitions through the lens of market infrastructures : A study of market construction for agroecology in different contexts},
author = {Francisco Garrido Garza},
url = {https://theses.hal.science/tel-05584310v1/file/TH2025UEFL2122.pdf
https://theses.hal.science/tel-05584310v1},
year = {2026},
date = {2026-04-08},
school = {Université Gustave Eiffel},
abstract = {The current global food system is characterised by industrialised production, environmental degradation, and social inequality. In response and resistance to this panorama, agroecology has emerged as a concept for rethinking food systems along ecological, social and cultural dimensions. It is broadly understood as a scientific discipline, an agronomic practice, and a social movement, centred on the idea of the ecologisation of agriculture and the transformation of food production and provisioning systems into more sustainable and fairer. A persisting challenge for agroecology lies in its multiplicity of visions and aims, which are contested among different actors and audiences across scientific literature, policy dialogues, and social cultures and movements. Attention is increasingly turned to the role of markets, as empirical studies have highlighted their potential to contribute to food systems transformations through multiple and diverse market innovations. Drawing on the literature on sustainability and socio-technical transitions, this doctoral thesis focuses on directionality, which questions how market-driven agroecological transitions acquire orientation and momentum. Through this lens, it examines how markets can act as arenas of food systems transformation, by exploring how structures, agency, and ideologies interact to guide sustainability transitions in the agri-food sector. In this regard, I introduce the concept of market infrastructures to understand how actors co-construct markets that both enable and constrain transitions. Complementarily, I advance the idea of agroecological entrepreneurship by emphasising how actors’ creative, value-driven practices shape current markets or create new ones. Finally, I explore values and meanings as forces that determine how agroecology is interpreted and legitimised in market contexts. These three conceptual approaches are integrated within a multi-case study design covering the European Union (EU), the East African Community (EAC), and the Southern Common Market (MERCOSUR), to analyse diverse market-driven agroecological initiatives through qualitative comparative and discourse-analytical methods. Within this framework, across four chapters, I examine how these initiatives reconfigure governance, innovation, and meaning in markets for agroecology, to support the argument that market-based agroecological transitions depend on the interplay between enabling infrastructures, entrepreneurial agency, and legitimising values that direct the course of food systems transformation, rather than being spontaneous and purely grassroots. },
note = {HAL Id: tel-05584310},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
Unpublished
Nault, Isabelle; Delbar, Vincent; Alleaume, Samuel; Bégué, Agnès; Laques, Anne-Elisabeth; Lemettais, Louise; Luque, Sandra
Exploring Essential Variables for Landscape Characterization through Earth Observation: An Insightful Review Unpublished Forthcoming
Forthcoming, (hal-05590520 , version 1).
@unpublished{Nault2026,
title = {Exploring Essential Variables for Landscape Characterization through Earth Observation: An Insightful Review},
author = {Isabelle Nault and Vincent Delbar and Samuel Alleaume and Agnès Bégué and Anne-Elisabeth Laques and Louise Lemettais and Sandra Luque},
url = {https://hal.science/hal-05590520/},
year = {2026},
date = {2026-04-13},
abstract = {Analysis and characterization of landscapes are crucial for effective planning and management strategies to ensure sustainable land and natural resource use in particular within the framework of Sustainable Development Goals (SDGs). Developing multidisciplinary strategies for landscape analysis is essential, given the inherent complexity and variability of landscapes. We aim to investigate how Earth Observation (EO) related techniques for identifying, mapping and delineating landscapes and landscape elements have evolved over time. In particular, we are interested in the use of RS-ELVs (Remote Sensing-enabled Essential Landscape Variables), which are used to provide insights into the prevalence and patterns of variables considered critical for describing and characterising landscapes using EO technologies in particular remote sensing. This is a bibliometric analysis conducted to systematically reviewing and analyzing scientific literature . The analysis was conducted to identify publications relating to remote sensing and landscape indicators, particularly those concerning landscape monitoring and extent. We used first the Scopus results analysis tool and the online tool SciVal for a global analysis of the corpus. We then used CorTexT Manager, that is a text analysis platform designed to process and visualize scientific and technical information. The analysis of remote sensing studies focusing on landscapes revealed a significant growth in the number of relevant publications from 1990 to 2021. Initially comprising just 3 references in 1990, the Remote Sensing-Landscape (RS-L) corpus expanded to 353 references by 2021, marking a hundredfold increase. Although growth stagnated after 2009, a renewed increase was observed from 2017 onward, coinciding with a productive period for remote sensing research in general. Despite fluctuations, the proportion of landscape-focused publications within the broader field of remote sensing has remained relatively stable since the late 2000s. Remote sensing and landscape emerged as the predominant terms in our study, representing the largest category of publications. Conversely, urban studies featured less prominently, with even fewer contributions in agriculture and hydrology. Publications focusing on other related research topics often emphasized spatiotemporal analysis. The availability of vast image archives such as Landsat and the deployment of satellite constellations like Copernicus have significantly bolstered global ecosystem and landscape monitoring efforts. Constructing effective queries and meticulously cleaning data were pivotal for ensuring accuracy and relevance. While our computational tools offered substantial capabilities, the human element and expert consultation were indispensable for the preparation of data, essential for the success of our analysis. },
note = {hal-05590520 , version 1},
keywords = {},
pubstate = {forthcoming},
tppubtype = {unpublished}
}
2025
Journal Articles
Barraud, Régis
The changing meaning of wild rivers: A review Journal Article
In: Water Alternatives, vol. 18, iss. 2, pp. 181-213, 2025.
@article{Barraud2025,
title = {The changing meaning of wild rivers: A review},
author = {Régis Barraud},
url = {https://www.water-alternatives.org/index.php/tp1-2/1916-vol18/378-issue18-2
https://www.water-alternatives.org/index.php/alldoc/articles/volume-18/v18issue2/787-a18-2-12/file},
year = {2025},
date = {2025-12-31},
journal = {Water Alternatives},
volume = {18},
issue = {2},
pages = {181-213},
abstract = {Environmental activism has been instrumental in the adoption of public policies to protect the last remaining free-flowing rivers. In this regard, the passage of the 1968 Wild and Scenic Rivers Act in the United States is an internationally recognised milestone. This legislation continues to inspire both other campaigns to protect wild rivers and the development of new conservation measures. The primary objective of this review is to provide a reconstruction of the trajectory of wild rivers as scientific subject matter. This approach allows us to study the processes of diffusion and adaptation of the American Wild and Scenic Rivers Act in other geographical contexts. It also aims to help us better understand the social and political effects of public policies that are geared towards the preservation of wild rivers. To this end, 106 scientific articles on wild rivers covering the period 1967 to 2024 were subjected to a lexical analysis (Step 1), a thematic analysis (Step 2) and a discussion of key issues based on an in-depth reading (Step 3). This review shows that the recreational, cultural and emotional values associated with wild rivers are increasingly being replaced in the scientific literature with the ecological values of free-flowing rivers. Furthermore, while the Wild and Scenic Rivers Act still largely guides scientific research on the subject, this review identifies the controversies underlying its adoption/adaptation in other colonial contexts where the idea of wilderness plays a key role in conservation. Underlying these conflicts is the need to rethink river conservation initiatives based on Indigenous people’s ontologies.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Raimbault, Benjamin
Calculer les impacts environnementaux des activités industrielles - Surmonter les frictions et la critique par la science Journal Article
In: Statistique et société, 2025.
@article{Raimbault2025,
title = {Calculer les impacts environnementaux des activités industrielles - Surmonter les frictions et la critique par la science},
author = {Benjamin Raimbault},
url = {https://journals.openedition.org/statsoc/4199
https://journals.openedition.org/statsoc/pdf/4199},
doi = {/10.4000/15fd2},
year = {2025},
date = {2025-12-22},
journal = {Statistique et société},
abstract = {Cet article décrit comment des représentant·es d’une agence publique parviennent à produire un impact environnemental chiffré de produits de grande consommation à partir de méthodes d’Analyse de cycle de vie (ACV) développées initialement par et pour l’industrie. Ces méthodes font l’objet de controverse lorsqu’elles équipent un instrument d’action publique. Nous montrons que ces agents publics s’appuient sur la complexité et la scientificité des méthodes ACV pour surmonter les nombreuses frictions liées à l’hétérogénéité du contexte de production et aux contestations soulevées lorsque ces méthodes sont utilisées pour développer un affichage environnemental des produits alimentaires. Le travail de démarcation mené permet conjointement de remobiliser les acteur·ices des filières agricoles dans la production de calculs (remontée de données, accord sur les conventions de calcul) tout en transformant les critiques en ressources pour perfectionner les méthodes. Notre propos se fonde sur une enquête au long cours menée au sein d’un Groupement d’intérêt scientifique entre 2021 et aujourd’hui, incluant 19 entretiens avec les membres du groupe et l’observation d’une vingtaine de réunions.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Ottaviani, Matteo; Stahlschmidt, Stephan
The Representation of SDG-Related Research in Bibliometric Databases: Persisting Imbalances and Varying Perspectives Journal Article
In: 2025.
@article{Ottaviani2025,
title = {The Representation of SDG-Related Research in Bibliometric Databases: Persisting Imbalances and Varying Perspectives},
author = {Matteo Ottaviani and Stephan Stahlschmidt},
url = {https://assets-eu.researchsquare.com/files/rs-8147329/v1_covered_731407c0-049b-4e07-bc24-229a6e66da79.pdf?c=1766406183},
doi = {/10.21203/rs.3.rs-8147329/v1},
year = {2025},
date = {2025-12-22},
urldate = {2025-12-22},
publisher = {Research Square},
abstract = {Large bibliometric databases, such as Web of Science, Scopus, and OpenAlex, play a crucial role for decision-makers in science and science policy, as they are used as sources for informing decisions at both national and international levels, in public and private sectors. Although these databases facilitate bibliometric analyses, they are performative, affecting the visibility of scientific outputs and the measurement of participating entities. Recently, they have also incorporated the UN’s Sustainable Development Goals (SDGs) into their respective classifications, which have been criticized for their diverging nature. On another note, their infrastructural information processing is, of course, susceptible to emerging technologies.
As a matter of fact, AI-supported and -powered tools have recently entered research practice and society at large. Large Language Models (LLMs), the branch of generative AI specifically focused on text, underlie their operation. By leveraging their features (i.e., in particular, mirroring what is thoroughly embedded in their training data under certain conditions), LLMs act as data magnifiers on SDG-classified publications to detect data biases that bibliometric databases are affected by. Within a broader perspective, our general setup serves as a conceptual exercise that characterizes the expected macro-level effects on the representation of SDG-related research in bibliometric databases, originating from the introduction of a generic LLM-based tool. Our analysis shows that the deployment of LLMs in the information processing of bibliometric databases reveals a systematic overlook in the data (i.e., scientific publications classified by SDGs) of the most disadvantaged categories of individuals, the poorest countries, and underrepresented topics that SDG targets explicitly focus on. Conversely, an unsolicited hegemonic role played by economic superpowers and Global North is identified.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
As a matter of fact, AI-supported and -powered tools have recently entered research practice and society at large. Large Language Models (LLMs), the branch of generative AI specifically focused on text, underlie their operation. By leveraging their features (i.e., in particular, mirroring what is thoroughly embedded in their training data under certain conditions), LLMs act as data magnifiers on SDG-classified publications to detect data biases that bibliometric databases are affected by. Within a broader perspective, our general setup serves as a conceptual exercise that characterizes the expected macro-level effects on the representation of SDG-related research in bibliometric databases, originating from the introduction of a generic LLM-based tool. Our analysis shows that the deployment of LLMs in the information processing of bibliometric databases reveals a systematic overlook in the data (i.e., scientific publications classified by SDGs) of the most disadvantaged categories of individuals, the poorest countries, and underrepresented topics that SDG targets explicitly focus on. Conversely, an unsolicited hegemonic role played by economic superpowers and Global North is identified.
Malacoski, Fernanda Cristina Ferro; de Alencar Schiavi, Sandra Mara; Iceri, Vanessa Kimie
Agro-food value chains and territory: a scientometric review from the Web of Science database Journal Article
In: Organizações Rurais & Agroindustriais, vol. 28, 2025, ISSN: 2238-6890.
@article{Malacoski2025,
title = {Agro-food value chains and territory: a scientometric review from the Web of Science database},
author = {Fernanda Cristina Ferro Malacoski and Sandra Mara de Alencar Schiavi and Vanessa Kimie Iceri},
url = {https://www.revista.dae.ufla.br/index.php/ora/article/view/2104
https://www.revista.dae.ufla.br/index.php/ora/article/view/2104/753},
doi = {10.481142/2820252104},
issn = {2238-6890},
year = {2025},
date = {2025-12-09},
journal = {Organizações Rurais & Agroindustriais},
volume = {28},
abstract = {Addressing the relationship between territory and value chain is one of the ways to understand the promotion of sustainable territorial development. Numerous research has been carried out in this regard, in different sectors and fields of research. However, the specific contributions of value chain and territory approaches to discussions on territorial development is still a research gap, as the link between them is not yet well developed. To fill this gap, we reviewed the international literature on agri-food and territory-based value chain. A scientometric analysis of the scientific papers in English indexed in the Web of Science database was performed. Main results show that work on agri-food value chain and territory has grown over the years. It was also possible to identify three distinct periods in terms of researched subjects. Seven research domains stood out, highlighting the contribution of different aspects of the territorial dimension in studies comprising agri-food value chains and effects on development. Results also indicate most studies are conducted by researchers in European countries, mainly Spain, Italy and France, but also countries like Mexico and Russia. Despite the rising number of studies and the large diversity of themes, there is a lack of theoretical consolidations to link agri-food value chains and territory.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Víquez, Sofia Guevara; Kotras, Baptiste
Urban politics of ordinary digital participation - From risk management to environmental mobilization in San José, Costa Rica Journal Article
In: Open edition journals, vol. 39-1/2, 2025.
@article{Víquez2025,
title = {Urban politics of ordinary digital participation - From risk management to environmental mobilization in San José, Costa Rica},
author = {Sofia Guevara Víquez and Baptiste Kotras},
url = {https://journals.openedition.org/netcom/9839},
doi = {/10.4000/1572p},
year = {2025},
date = {2025-11-29},
journal = {Open edition journals},
volume = {39-1/2},
abstract = {Based on long-term ethnographic and “chatnographic” fieldwork (2015-2024), this article examines the ordinary uses of digital technologies in urban risk management in San José, Costa Rica, focusing on residents’ communication practices via WhatsApp and Facebook around flooding of the Ocloro River. It analyzes how inhabitants mobilize mainstream digital tools to organize collectively in the face of environmental risks and to redefine their relationship with territory and public institutions. Our paper combines interviews, participant observation, and qualitative and quantitative analysis of 4,479 messages exchanged in a WhatsApp group created and managed by residents. The results highlight three main dynamics: (1) the infrapolitical self-organization of residents during emergencies; (2) the accountability—and at times contestation—of public authorities, made possible through the circulation of images, data, and digital traces; and (3) the gradual politicization of environmental issues, leading to collective mobilization for the protection of the river basin, beyond the immediate concern of flooding.
The study thus reveals a process of digital placemaking, in which social media become instruments for producing knowledge and governing territory “from below.” WhatsApp and Facebook—everyday, mainstream applications—are used for the production, archiving, and mobilization of lay knowledge in legal and political action. In the Latin American context, these ordinary digital practices contribute to reconfiguring urban governance and transforming citizen participation into a locally grounded form of environmental action.
===========
Politiser l'espace urbain par la participation numérique ordinaire De la gestion de risque à la mobilisation environnementale à San José, Costa Rica
Fondé sur une enquête ethnographique et « chatnographique » de long terme (2015-2024), cet article examine les usages ordinaires des technologies numériques dans la gestion des risques urbains à San José (Costa Rica), en se concentrant sur les pratiques de communication via WhatsApp et Facebook des habitant·es, autour des inondations du fleuve Ocloro. Il analyse la manière dont les habitants mobilisent des outils numériques grand public pour s’organiser face aux risques environnementaux et redéfinir leurs rapports au territoire et aux institutions. L’article combine entretiens, observations participantes et analyse qualitative et quantitative de 4 479 messages échangés sur un groupe WhatsApp créé et animé par les habitant·es. Les résultats montrent que ces usages numériques soutiennent trois dynamiques principales : (1) une auto-organisation infra-politique des habitants face aux urgences ; (2) une mise en responsabilité voire une contestation des autorités publiques, rendue possible par la circulation d’images, de données et de traces numériques ; (3) une politisation progressive des enjeux environnementaux, donnant lieu à une mobilisation collective pour la protection du bassin versant, au-delà du seul risque d’inondation. L’étude met ainsi en évidence un processus de digital placemaking, où les médias sociaux deviennent des instruments de connaissance et de gouvernement du territoire « par le bas ». WhatsApp et Facebook, applications grand public et utilisées au quotidien, sont mobilisées pour la production de savoirs profanes sur les risques, leur archivage et leur mobilisation dans des actions juridiques et politiques. Dans le contexte latino-américain, ces pratiques ordinaires du numérique contribuent à reconfigurer la gouvernance urbaine et à transformer la participation citoyenne en une forme d’action environnementale localement située.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The study thus reveals a process of digital placemaking, in which social media become instruments for producing knowledge and governing territory “from below.” WhatsApp and Facebook—everyday, mainstream applications—are used for the production, archiving, and mobilization of lay knowledge in legal and political action. In the Latin American context, these ordinary digital practices contribute to reconfiguring urban governance and transforming citizen participation into a locally grounded form of environmental action.
===========
Politiser l'espace urbain par la participation numérique ordinaire De la gestion de risque à la mobilisation environnementale à San José, Costa Rica
Fondé sur une enquête ethnographique et « chatnographique » de long terme (2015-2024), cet article examine les usages ordinaires des technologies numériques dans la gestion des risques urbains à San José (Costa Rica), en se concentrant sur les pratiques de communication via WhatsApp et Facebook des habitant·es, autour des inondations du fleuve Ocloro. Il analyse la manière dont les habitants mobilisent des outils numériques grand public pour s’organiser face aux risques environnementaux et redéfinir leurs rapports au territoire et aux institutions. L’article combine entretiens, observations participantes et analyse qualitative et quantitative de 4 479 messages échangés sur un groupe WhatsApp créé et animé par les habitant·es. Les résultats montrent que ces usages numériques soutiennent trois dynamiques principales : (1) une auto-organisation infra-politique des habitants face aux urgences ; (2) une mise en responsabilité voire une contestation des autorités publiques, rendue possible par la circulation d’images, de données et de traces numériques ; (3) une politisation progressive des enjeux environnementaux, donnant lieu à une mobilisation collective pour la protection du bassin versant, au-delà du seul risque d’inondation. L’étude met ainsi en évidence un processus de digital placemaking, où les médias sociaux deviennent des instruments de connaissance et de gouvernement du territoire « par le bas ». WhatsApp et Facebook, applications grand public et utilisées au quotidien, sont mobilisées pour la production de savoirs profanes sur les risques, leur archivage et leur mobilisation dans des actions juridiques et politiques. Dans le contexte latino-américain, ces pratiques ordinaires du numérique contribuent à reconfigurer la gouvernance urbaine et à transformer la participation citoyenne en une forme d’action environnementale localement située.
Cricchio, Jacopo
Balancing openness and ownership: open innovation strategies for AI development Journal Article
In: European Journal of Innovation Management, 2025, ISSN: 1460-1060.
@article{Cricchio2025,
title = {Balancing openness and ownership: open innovation strategies for AI development},
author = {Jacopo Cricchio},
url = {https://doi.org/10.1108/EJIM-04-2024-0470},
doi = {10.1108/EJIM-04-2024-0470},
issn = {1460-1060},
year = {2025},
date = {2025-09-23},
journal = {European Journal of Innovation Management},
address = {Pisa, Italy},
school = {Sant’Anna School of Advanced Studies, Institute of Management},
abstract = {This paper explores how firms configure open innovation (OI) strategies when integrating artificial intelligence (AI) into their innovation models. Through the case of Baidu, it examines how OI contributes to business model innovation, highlighting how firms navigate the tension between openness and ownership in AI development.Adopting an exploratory case study approach, the research employs big data analysis methods, including thematic network and collaboration cluster analyses. These methods are applied to a comprehensive dataset of granted patents and scientific publications spanning 2000 to 2023, sourced from Orbis intellectual property and Web of Science databases.The analysis reveals a dual OI configuration: Baidu engages openly in scientific collaborations to foster value creation, while relying on centralized patenting strategies to secure value capture. This modular approach reflects a dynamic governance of knowledge across research and patenting domains. Baidu structures its AI innovation through selective openness, enabling agile adaptation in a rapidly evolving technological landscape.This study contributes to research on AI, OI, business model innovation and dynamic capabilities by illustrating how hybrid openness strategies function as organizational mechanisms for sensing, seizing and transforming. It offers interpretive insights into the design tensions of OI and provides a grounded perspective on how firms strategically navigate collaboration, protection and innovation in data-intensive contexts.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Tollefson, Jonathan; Frickel, Scott; Gore, Christina; Helgeson, Jennifer
Community Resilience Planning: What New Methods Reveal About the Formation and Transformation of a Field Journal Article
In: WIREs Climate Change, vol. 16, iss. 4, 2025, (The Sashimi method was used via the Python module. The Sashimi method has a modular architecture that allows it to be used independently of the Cortext Manager web application, which has not been used here.).
@article{Tollefson2025,
title = {Community Resilience Planning: What New Methods Reveal About the Formation and Transformation of a Field},
author = {Jonathan Tollefson and Scott Frickel and Christina Gore and Jennifer Helgeson},
url = {https://wires.onlinelibrary.wiley.com/doi/epdf/10.1002/wcc.70015
https://wires.onlinelibrary.wiley.com/doi/pdf/10.1002/wcc.70015
https://wires.onlinelibrary.wiley.com/doi/10.1002/wcc.70015
},
doi = {/10.1002/wcc.70015},
year = {2025},
date = {2025-08-12},
urldate = {2025-08-12},
journal = {WIREs Climate Change},
volume = {16},
issue = {4},
abstract = {Community resilience planning (CRP) research encompasses diverse disciplinary foci, ranging from ecological and socio-political to engineering studies, and employs a range of analytic scales and methodologies. Despite the rise of integrative approaches to studying increasingly complex risks faced by communities—in particular, the growing, and often inequitable, impacts of climate and weather stressors and extremes—CRP remains a fragmented field of study and practice. This paper provides a broad map of the CRP field over the last 25 years, linking bibliometric methods with novel, network-based, multi-level approaches to computational text analysis. Despite trends toward interdisciplinary and transdisciplinary research, our analysis demonstrates that the CRP field consists of divergent bodies of research, characteristic of disciplinary siloing. At the same time, new approaches to computational text analysis provide innovative ways to understand the epistemic and social links across subfields, revealing patterns of connectivity that traditional citation-based bibliometric methods cannot access.
Results indicate that the development and maturation of CRP are characterized in part by a longitudinal transformation in research methods and by a shift in substantive questions that CRP researchers are asking. These findings suggest that thematic and credit-based structures operate in tandem to produce complex webs of interconnection across the disciplinary domains that have historically constituted the field.},
note = {The Sashimi method was used via the Python module. The Sashimi method has a modular architecture that allows it to be used independently of the Cortext Manager web application, which has not been used here.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Results indicate that the development and maturation of CRP are characterized in part by a longitudinal transformation in research methods and by a shift in substantive questions that CRP researchers are asking. These findings suggest that thematic and credit-based structures operate in tandem to produce complex webs of interconnection across the disciplinary domains that have historically constituted the field.
Zhu, Zhexian; Montesi, Michela
The Impact of the COVID-19 Pandemic on Research into Chinese University Students’ Mental Health: A Bibliometric Analysis Journal Article
In: Journal of Library and Information Studies, vol. 23, iss. 1, 2025.
@article{Zhu2025,
title = {The Impact of the COVID-19 Pandemic on Research into Chinese University Students’ Mental Health: A Bibliometric Analysis},
author = {Zhexian Zhu and Michela Montesi},
url = {https://jlis.lis.ntu.edu.tw/files/journal/j60-2.pdf
},
doi = {/10.6182/jlis.202506_23(1).079},
year = {2025},
date = {2025-06-30},
journal = {Journal of Library and Information Studies},
volume = {23},
issue = {1},
abstract = {Background: The COVID-19 pandemic increased anxiety and depression rates, prompting heightened research activity in mental health, particularly among vulnerable populations like university students. Research activity adapted in order to address issues arising in this new landscape.
Objectives: This study aims to explore the changes in scientific activity and response trends during a public health crisis, with a particular focus on analyzing research themes, categories, and collaboration patterns related to the mental health of Chinese university students before and after the COVID-19 pandemic. Method: Using bibliometric methods, data were extracted from Web of Science to analyze scientific output related to the mental health of Chinese university students from 2017 to 2022. Descriptive statistics and visual analysis tools were employed to explore publication trends and collaboration patterns. Discussion: After the pandemic, there is an increase in the total amount of literature and open-access publications. Research topics have shifted towards prioritizing student well-being over clinical diagnoses. Strengthened international and institutional collaboration is evident through increased cooperation with developing countries and those heavily impacted by the pandemic, as well as intensified partnerships between medical universities and prestigious academic institutions.
Conclusions: The findings of this research can guide supportive efforts by libraries, academic journals, international partnerships, and funding bodies to address mental health challenges during future epidemics. Furthermore, they highlight the value of collaboration between bibliometrics and psychology in tackling the complex issues surrounding mental health in such contexts. Professionals in bibliometrics and psychology should collaborate to address the complex challenges posed by mental health and future epidemics.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Objectives: This study aims to explore the changes in scientific activity and response trends during a public health crisis, with a particular focus on analyzing research themes, categories, and collaboration patterns related to the mental health of Chinese university students before and after the COVID-19 pandemic. Method: Using bibliometric methods, data were extracted from Web of Science to analyze scientific output related to the mental health of Chinese university students from 2017 to 2022. Descriptive statistics and visual analysis tools were employed to explore publication trends and collaboration patterns. Discussion: After the pandemic, there is an increase in the total amount of literature and open-access publications. Research topics have shifted towards prioritizing student well-being over clinical diagnoses. Strengthened international and institutional collaboration is evident through increased cooperation with developing countries and those heavily impacted by the pandemic, as well as intensified partnerships between medical universities and prestigious academic institutions.
Conclusions: The findings of this research can guide supportive efforts by libraries, academic journals, international partnerships, and funding bodies to address mental health challenges during future epidemics. Furthermore, they highlight the value of collaboration between bibliometrics and psychology in tackling the complex issues surrounding mental health in such contexts. Professionals in bibliometrics and psychology should collaborate to address the complex challenges posed by mental health and future epidemics.
Qi, Wenhao; Shen, Shiying; dong, Chaoqun; Zhao, Mengjiao; Zang, Shuaiqi; Zhu, Xiaohong; Li, Jiaqi; Wang, Bin; Shi, Yankai; Dong, Yongze; Shen, Huajuan; Kang, Junling; Lu, Xiaodong; Jiang, Guowei; Du, Jingsong; Shu, Eryi; Zhou, Qingbo; Wang, Jinghua; Cao, Shihua
Digital Biomarkers for Parkinson Disease: Bibliometric Analysis and a Scoping Review of Deep Learning for Freezing of Gait Journal Article
In: Journal of Medical Internet Research, vol. 27, 2025.
@article{Qi2025,
title = {Digital Biomarkers for Parkinson Disease: Bibliometric Analysis and a Scoping Review of Deep Learning for Freezing of Gait},
author = {Wenhao Qi and Shiying Shen and Chaoqun dong and Mengjiao Zhao and Shuaiqi Zang and Xiaohong Zhu and Jiaqi Li and Bin Wang and Yankai Shi and Yongze Dong and Huajuan Shen and Junling Kang and Xiaodong Lu and Guowei Jiang and Jingsong Du and Eryi Shu and Qingbo Zhou and Jinghua Wang and Shihua Cao},
url = {https://www.jmir.org/2025/1/e71560/
https://www.jmir.org/2025/1/e71560/PDF},
doi = {10.2196/71560},
year = {2025},
date = {2025-05-20},
journal = {Journal of Medical Internet Research},
volume = {27},
abstract = {Background: With the rapid development of digital biomarkers in Parkinson disease (PD) research, it has become increasingly important to explore the current research trends and key areas of focus.
Objective: This study aimed to comprehensively evaluate the current status, hot spots, and future trends of global PD biomarker research, and provide a systematic review of deep learning models for freezing of gait (FOG) digital biomarkers.
Methods: This study used bibliometric analysis based on the Web of Science Core Collection database to conduct a comprehensive analysis of the multidimensional landscape of Parkinson digital biomarkers. After identifying research hot spots, the study also followed the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines for a scoping review of deep learning models for FOG from 5 databases: Web of Science, PubMed, IEEE Xplore, Embase, and Google Scholar.
Results: A total of 750 studies were included in the bibliometric analysis, and 40 studies were included in the scoping review. The analysis revealed a growing number of related publications, with 3700 researchers contributing. Neurology had the highest average annual participation rate (12.46/19, 66%). The United States contributed the most research (192/1171, 16.4%), with 210 participating institutions, which was the highest among all countries. In the study of deep learning models for FOG, the average accuracy of the models was 0.92, sensitivity was 0.88, specificity was 0.90, and area under the curve was 0.91. In addition, 31 (78%) studies indicated that the best models were primarily convolutional neural networks or convolutional neural networks–based architectures.
Conclusions: Research on digital biomarkers for PD is currently at a stable stage of development, with widespread global interest from countries, institutions, and researchers. However, challenges remain, including insufficient interdisciplinary and interinstitutional collaboration, as well as a lack of corporate funding for related projects. Current research trends primarily focus on motor-related studies, particularly FOG monitoring. However, deep learning models for FOG still lack external validation and standardized performance reporting. Future research will likely progress toward deeper applications of artificial intelligence, enhanced interinstitutional collaboration, comprehensive analysis of different data types, and the exploration of digital biomarkers for a broader range of Parkinson symptoms.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Objective: This study aimed to comprehensively evaluate the current status, hot spots, and future trends of global PD biomarker research, and provide a systematic review of deep learning models for freezing of gait (FOG) digital biomarkers.
Methods: This study used bibliometric analysis based on the Web of Science Core Collection database to conduct a comprehensive analysis of the multidimensional landscape of Parkinson digital biomarkers. After identifying research hot spots, the study also followed the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines for a scoping review of deep learning models for FOG from 5 databases: Web of Science, PubMed, IEEE Xplore, Embase, and Google Scholar.
Results: A total of 750 studies were included in the bibliometric analysis, and 40 studies were included in the scoping review. The analysis revealed a growing number of related publications, with 3700 researchers contributing. Neurology had the highest average annual participation rate (12.46/19, 66%). The United States contributed the most research (192/1171, 16.4%), with 210 participating institutions, which was the highest among all countries. In the study of deep learning models for FOG, the average accuracy of the models was 0.92, sensitivity was 0.88, specificity was 0.90, and area under the curve was 0.91. In addition, 31 (78%) studies indicated that the best models were primarily convolutional neural networks or convolutional neural networks–based architectures.
Conclusions: Research on digital biomarkers for PD is currently at a stable stage of development, with widespread global interest from countries, institutions, and researchers. However, challenges remain, including insufficient interdisciplinary and interinstitutional collaboration, as well as a lack of corporate funding for related projects. Current research trends primarily focus on motor-related studies, particularly FOG monitoring. However, deep learning models for FOG still lack external validation and standardized performance reporting. Future research will likely progress toward deeper applications of artificial intelligence, enhanced interinstitutional collaboration, comprehensive analysis of different data types, and the exploration of digital biomarkers for a broader range of Parkinson symptoms.
Purnasasmita, Ruth Kartika; Yatmo, Yandi Andri; Atmodiwirjo, Paramita
Data Landscape as the representation of nighttime urban dynamics Journal Article
In: New Design Ideas, vol. 9, iss. 1, pp. 227-247, 2025.
@article{Purnasasmita2025,
title = {Data Landscape as the representation of nighttime urban dynamics},
author = {Ruth Kartika Purnasasmita and Yandi Andri Yatmo and Paramita Atmodiwirjo},
doi = {/10.62476/ndi.91.227},
year = {2025},
date = {2025-04-02},
journal = {New Design Ideas},
volume = {9},
issue = {1},
pages = {227-247},
publisher = {Jomard Publishing},
school = {Universitas Indonesia},
abstract = {This paper explores the data landscape as the representation of the network of entities that construct the nighttime urban environment. The utilization of data landscape is understood as the collective reading of nighttime place dynamics which could unfold the complex narratives of urban context. It reveals two main elements involved in the emergence of the nighttime environment: what constructs urban nighttime and how it is captured. The mapping of data from social media was conducted using Instagram posts that contain the hashtag #pasarmalam, which indicates the representation of the night market as an element of the urban nighttime environment in the context of Indonesian cities.
Analysis was conducted by identifying the network of relations that emerged from the hashtags. The findings from the study indicate the emergence of data landscape as the network of entities related to elements of events, food, entertainment and experience that construct nighttime urban places. It also reveals how nighttime is represented through various methods, tools and techniques for capturing nighttime. The study suggests the critical role of data landscape in understanding the construction of nighttime urban environment as the basis of data-driven urban placemaking that can capture the dynamics and complexities of nighttime urban elements.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Analysis was conducted by identifying the network of relations that emerged from the hashtags. The findings from the study indicate the emergence of data landscape as the network of entities related to elements of events, food, entertainment and experience that construct nighttime urban places. It also reveals how nighttime is represented through various methods, tools and techniques for capturing nighttime. The study suggests the critical role of data landscape in understanding the construction of nighttime urban environment as the basis of data-driven urban placemaking that can capture the dynamics and complexities of nighttime urban elements.
Khan, Salman; Moreira, Tiago
Frailty after Covid: tracing emergent shifts through heterogenous network mapping Journal Article
In: Social Theory & Health, vol. 23, iss. 1, 2025.
@article{Khan2025,
title = {Frailty after Covid: tracing emergent shifts through heterogenous network mapping},
author = {Salman Khan and Tiago Moreira},
url = {https://link.springer.com/article/10.1057/s41285-025-00216-x
https://link.springer.com/content/pdf/10.1057/s41285-025-00216-x.pdf},
doi = {/10.1057/s41285-025-00216-x},
year = {2025},
date = {2025-03-28},
journal = {Social Theory & Health},
volume = {23},
issue = {1},
edition = {Paul Higgs; Ruth Graham},
abstract = {Taking as a point of departure the role that the category of frailty increasingly plays in the classification, sorting and management of ageing populations in contemporary societies, this paper examines how the onset of Covid-19—as a disease posing the most risk to older adults—affected scientific knowledge production on frailty. Drawing on a theoretically driven network mapping of scientific literature on frailty before and after the pandemic, the paper traces emergent shifts in the evolution of two key discourses of frailty, namely that of the accumulation of deficits and the phenotype, respectively. Our analysis identifies an increased enrolment of frailty as a clinical, prognostic category post-Covid, underpinned by the deficit accumulation model and its key instrument, the frailty index. In parallel, we observe the continuation of laboratory and experimental research on frailty, as aligned with the phenotype approach. We note that in comparison to before Covid, this shift seems to be taking place across a more diversified scientific terrain, with the field of geriatrics playing a central, mediating role between distinct-yet-relational articulations of frailty—those tied to the clinic on one end, and the lab on the other.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Shen, Shiying; Wenhao,; Liu, Xin; Zeng, Jianwen; Li, Sixie; Zhu, Xiaohong; Dong, Chaoqun; Wang, Bin; Shi, Yankai; Yao, Jiani; Wang, Bingsheng; Jing, Louxia; Cao, Shihua; Liang, Guanmian
From virtual to reality: innovative practices of digital twins in tumor therapy Journal Article
In: Journal of Translational Medicine, vol. 23, iss. 348, 2025.
@article{Shen2025,
title = {From virtual to reality: innovative practices of digital twins in tumor therapy},
author = {Shiying Shen and Wenhao and Xin Liu and Jianwen Zeng and Sixie Li and Xiaohong Zhu and Chaoqun Dong and Bin Wang and Yankai Shi and Jiani Yao and Bingsheng Wang and Louxia Jing and Shihua Cao and Guanmian Liang},
url = {https://translational-medicine.biomedcentral.com/articles/10.1186/s12967-025-06371-z},
doi = {/10.1186/s12967-025-06371-z},
year = {2025},
date = {2025-03-19},
urldate = {2025-03-19},
journal = {Journal of Translational Medicine},
volume = {23},
issue = {348},
abstract = {Background As global cancer incidence and mortality rise, digital twin technology in precision medicine offers new opportunities for cancer treatment.
Objective This study aims to systematically analyze the current applications, research trends, and challenges of digital twin technology in tumor therapy, while exploring future directions.
Methods Relevant literature up to 2024 was retrieved from PubMed, Web of Science, and other databases. Data visualization was performed using R and VOSviewer software. The analysis includes the research initiation and trends, funding models, global research distribution, sample size analysis, and data processing and artificial intelligence applications. Furthermore, the study investigates the specific applications and effectiveness of digital twin technology in tumor diagnosis, treatment decision-making, prognosis prediction, and personalized management.
Results Since 2020, research on digital twin technology in oncology has surged, with significant contributions from the United States, Germany, Switzerland, and China. Funding primarily comes from government agencies, particularly the National Institutes of Health in the U.S. Sample size analysis reveals that large-sample studies have greater clinical reliability, while small-sample studies emphasize technology validation. In data processing and artificial intelligence applications, the integration of medical imaging, multi-omics data, and AI algorithms is key. By combining multimodal data integration with dynamic modeling, the accuracy of digital twin models has been significantly improved.
However, the integration of different data types still faces challenges related to tool interoperability and limited standardization. Specific applications of digital twin technology have shown significant advantages in diagnosis, treatment
decision-making, prognosis prediction, and surgical planning.
Conclusion Digital twin technology holds substantial promise in tumor therapy by optimizing personalized treatment plans through integrated multimodal data and dynamic modeling. However, the study is limited by factors such as language restrictions, potential selection bias, and the relatively small number of published studies in this emerging field, which may affect the comprehensiveness and generalizability of our findings. Moreover, issues related to data heterogeneity, technical integration, and data privacy and ethics continue to impede its broader clinical application. Future research should promote international collaboration, establish unified interdisciplinary standards, and strengthen ethical regulations to accelerate the clinical translation of digital twin technology in cancer treatment.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Objective This study aims to systematically analyze the current applications, research trends, and challenges of digital twin technology in tumor therapy, while exploring future directions.
Methods Relevant literature up to 2024 was retrieved from PubMed, Web of Science, and other databases. Data visualization was performed using R and VOSviewer software. The analysis includes the research initiation and trends, funding models, global research distribution, sample size analysis, and data processing and artificial intelligence applications. Furthermore, the study investigates the specific applications and effectiveness of digital twin technology in tumor diagnosis, treatment decision-making, prognosis prediction, and personalized management.
Results Since 2020, research on digital twin technology in oncology has surged, with significant contributions from the United States, Germany, Switzerland, and China. Funding primarily comes from government agencies, particularly the National Institutes of Health in the U.S. Sample size analysis reveals that large-sample studies have greater clinical reliability, while small-sample studies emphasize technology validation. In data processing and artificial intelligence applications, the integration of medical imaging, multi-omics data, and AI algorithms is key. By combining multimodal data integration with dynamic modeling, the accuracy of digital twin models has been significantly improved.
However, the integration of different data types still faces challenges related to tool interoperability and limited standardization. Specific applications of digital twin technology have shown significant advantages in diagnosis, treatment
decision-making, prognosis prediction, and surgical planning.
Conclusion Digital twin technology holds substantial promise in tumor therapy by optimizing personalized treatment plans through integrated multimodal data and dynamic modeling. However, the study is limited by factors such as language restrictions, potential selection bias, and the relatively small number of published studies in this emerging field, which may affect the comprehensiveness and generalizability of our findings. Moreover, issues related to data heterogeneity, technical integration, and data privacy and ethics continue to impede its broader clinical application. Future research should promote international collaboration, establish unified interdisciplinary standards, and strengthen ethical regulations to accelerate the clinical translation of digital twin technology in cancer treatment.
Kumari, Anshu; Tiwari, Manish; Mor, Rahul; Jagtap, Sandeep
Mapping research frontiers in gender and sustainability in agricultural development: a bibliometric review Journal Article
In: Discover Sustainability, vol. 6, iss. 174, 2025.
@article{Kumari2025,
title = {Mapping research frontiers in gender and sustainability in agricultural development: a bibliometric review},
author = {Anshu Kumari and Manish Tiwari and Rahul Mor and Sandeep Jagtap},
url = {https://link.springer.com/article/10.1007/s43621-025-00968-6},
doi = {/10.1007/s43621-025-00968-6},
year = {2025},
date = {2025-03-16},
journal = {Discover Sustainability},
volume = {6},
issue = {174},
publisher = {Springer},
abstract = {Gender and sustainability are crucial in agriculture, which remains a significant source of global employment. However, urbanization, industrialization, and technological advancements have reshaped the sector, impacting labor dynamics and gender roles. Traditional agricultural labor faces challenges due to low wages, physically demanding tasks, and unfavorable working conditions. Addressing gender disparities and promoting inclusive work environments is essential for achieving sustainability. According to the ILO (International Labour Office) decent work encompasses productivity and equal employment opportunities for both genders. This study aims to review the literature on gender, sustainability and agricultural development using a bibliometric analysis of Scopus-indexed articles. The findings identify five main research domains: gender dynamics and roles, agriculture and climate change, sustainability and development, human and labor dynamics, and environmental and technological aspects. Additionally, four key scientific communities led the research: Gender studies, agricultural economics, environmental management, and rural sociology. Emerging research trends focus on gender roles in sustainable farming, environmental innovation, and labor governance in agriculture. Spain, the United Kingdom, United States, and Canada lead in knowledge production, contributing significantly to these research domains. This review highlights the importance of interdisciplinary approaches to address the complex issues of gender and sustainability in agriculture. It also specifies a target for expectations research, highlighting that the ILO’s definition of appropriate employment can guide efforts to improve gender equity and labor conditions, ultimately supporting sustainable development in the agricultural sector.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Hinkelman, Kathryn; Garcia, Juan Diego Flores; Wang, Jing; Anbarasu, Saranya; Zuo, Wangda
A Review of Multi-Energy Systems from Resiliency and Equity Perspectives Journal Article Forthcoming
In: Forthcoming.
@article{Hinkelman2025,
title = {A Review of Multi-Energy Systems from Resiliency and Equity Perspectives},
author = {Kathryn Hinkelman and Juan Diego Flores Garcia and Jing Wang and Saranya Anbarasu and Wangda Zuo},
url = {https://orcid.org/0000-0002-8297-6036
https://engrxiv.org/preprint/view/2193
https://engrxiv.org/preprint/view/2193/7631},
doi = {/10.31224/2193 },
year = {2025},
date = {2025-02-12},
urldate = {2025-02-12},
address = {Burlington, US},
school = {University of Vermont},
abstract = {Energy infrastructure systems need to maintain resilient operation in the presence of more intense and frequent disasters, which are disproportionately challenging for low-income and disadvantaged communities. Leveraging local natural resources with renewable energy sharing opportunities, multi-energy systems (MES) – or energy hubs – are technologically viable solutions to this challenge, but their wide-scale adoption for these purposes are not well understood. To this end, this paper comprehensively reviews MES literature from both resiliency and equity perspectives. The goal is to understand synergies and disparities among literature regarding these two perspectives, under a changing climate and a long-term goal of decarbonization. The results found that papers including equity are statically more likely to involve fully renewable energy systems (highly significant, p < 0.001), while middle income countries tend to adopt renewable/carbon-producing energy systems more frequently than high income countries (weakly significant, p = 0.011). Mobile storages are implemented independently of resilience and equity scopes, and it is increasingly common to integrate multiple storage types within a MES. Sector coupling with two energy types improved the resiliency index the most (73% di!erence between baseline and proposed MES), suggesting two-type systems are favorable compared to single-networks or more complex configurations.
While some preliminary studies indicate lower operational costs and higher resilience can synergistically be achieved, more MES case studies are required to understand the life cycle costs of resilient design and operating schemes.},
keywords = {},
pubstate = {forthcoming},
tppubtype = {article}
}
While some preliminary studies indicate lower operational costs and higher resilience can synergistically be achieved, more MES case studies are required to understand the life cycle costs of resilient design and operating schemes.
Bachelor Theses
Delarue, Simon
Learning on graphs : from algorithms to socio-technical analyses on AI Bachelor Thesis
Telecom Paris, 2025, (HAL Id: tel-04963643).
@bachelorthesis{Delarue2025,
title = {Learning on graphs : from algorithms to socio-technical analyses on AI},
author = {Simon Delarue},
url = {https://theses.hal.science/tel-04963643v1/file/142478_DELARUE_2025_archivage.pdf
https://theses.hal.science/tel-04963643v1},
year = {2025},
date = {2025-02-24},
school = {Telecom Paris},
abstract = {Artificial Intelligence (AI) techniques and algorithms are now deeply embedded in our daily lives. While they offer promising possibilities, their expanding presence in high- stake decision-making domains such as healthcare, justice, and industry raises significant societal, ethical, environmental, and governance issues. Far from being neutral tools, AI models have transformed our practices by introducing or amplifying biases – such as those related to race or gender – and have led to broader consequences, reshaping debates on issues such as the environmental impact of digitalisation. To address the challenges posed by the rapid expansion of AI technologies, and as these issues begin to be considered within international regulations like the AI Act in Europe, it is essential for scientists and developers to incorporate these considerations into their approaches. This requires moving beyond a restricted focus on performance to include aspects like scalability, simplicity, and explainability. This thesis examines the potential of attributed graph-based approaches to address both the technical challenges posed by AI methods, and the socio-technical questions that arise from their complex relationship with society. The first part of this thesis explores how graph-based methods can meet the require- ments for efficiency, scalability, and simplicity in learning techniques. Graphs, i.e. sets of nodes connected to each other through edges, enable the modelling of complex re- lational data and draw on contributions from fields ranging from computer science to social sciences, offering promising solutions to the limitations encountered in AI. First, through a software contribution, we show how the inherent sparsity of complex networks can be leveraged within model implementation to reduce the computational cost of cur- rent approaches. Then, by examining the capabilities of non-neural attributed graph approaches, this thesis shows that simple methods can outperform state-of-the-art neu- ral networks in capturing the structural complexity of real-world data, thereby providing scalable and generalisable solutions to graph-based machine learning tasks such as node classification and link prediction. Finally, we design an attributed pattern mining ap- proach to derive interesting and easily understandable insights from complex networks. Recognising the need for diverse analytical approaches to understand the complex entanglements among current AI techniques, what we aim to achieve with them, and how they transform our uses, the second part of this thesis shifts to an interdisciplinary exam- ination of AI as a socio-technical system. This part explores how AI can be re-envisioned not only as a tool but also as an object of study. By framing AI as an ecosystem shaped by diverse stakeholders and societal concerns, this thesis uses graph-based models to map the interactions and tensions within AI, particularly around explainability, ethics, and environmental impact. For this purpose, we conduct a user study to examine the po- v tential of attributed graph-based explanations to enhance users’ perception of AI-based recommendations, and reveal the complex link between users’ preference towards expla- nation design and the understanding gain these explanations allow. In a second analysis, we build a corpus of AI charters and manifestos for ethics, which we make publicly avail- able. Using this corpus, we quantitatively analyse the interactions among key actors forming the social world of AI ethics in order to understand their roles in influencing AI governance and regulation. Finally, we explore how AI-related scientists incorporate their environmental concerns into their research using attributed graph analysis. This study reveals that environmental concerns remain largely framed through a technical perspective, with little consideration of the ecological impacts of digitalisation, pointing to the need for a more balanced approach in future research on AI and the environment. Building directly on the work presented in this thesis, we conclude by opening path- ways for future research directions focused on simple and efficient graph-based approaches to learning on complex networks. In a broader context, we also discuss future research avenues that we consider essential, including research rooted in Science and Technology Studies, to assess how digital technologies might evolve as inclusive, responsible, and sustainable tools. },
note = {HAL Id: tel-04963643},
keywords = {},
pubstate = {published},
tppubtype = {bachelorthesis}
}
Conferences
Villard, Lionel; Bahoken, Francoise; Come, Etienne; Medina, Luis Daniel; Maisonobe, Marion
Co-authors' spatial networks analysis with Cortext Manager and Arabesque Conference
Sunbelt 2025 Paris, 2025, (INSNA).
@conference{Villard2025,
title = {Co-authors' spatial networks analysis with Cortext Manager and Arabesque},
author = {Lionel Villard and Francoise Bahoken and Etienne Come and Luis Daniel Medina and Marion Maisonobe},
url = {https://sunbelt2025.org/wp-content/uploads/2025/01/Paris-Sunbelt-2025-List-of-Accepted-Workshops-03Jan2025.pdf},
year = {2025},
date = {2025-01-03},
urldate = {2025-01-03},
address = {Paris},
organization = {Sunbelt 2025},
abstract = {In the field of scientometrics, methods derived from Social Network analysis (SNA) and Natural language processing (NLP) are among common techniques used to analyze and visualize graphs. These methods focus on both the structural and morphological aspects of the social networks investigated, whether or not their actors are localized. SNA and NLP approaches are not specifically interested in the spatial component (i.e. localization, interactions, geovisualization) of social networks. Their complementarity with gravitational approaches, combining analysis of actors' positions and separations (distance, proximity, neighborhood) has nevertheless been widely used in the field of spatial analysis in geography.
This workshop aims to present a scientometric co-authorship' analysis on a preselected topic (e.g., low carbon initiatives, climate change, AI in transportation), using Cortext Manager and Arabesque: two web applications respectively mobilized to geocode authors' affiliations addresses at several geographical scales and filtering and exploration spatial networks for
thematic mapping purposes. Emphasis will be placed on examining the contributions of different countries or groups of countries to scientific advancements in the selected field and the collaboration patterns that emerge. This hands-on session will guide participants through spatial data analysis and network analysis enabling them to identify thematic and territorial patterns within scientific communities.},
note = {INSNA},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
This workshop aims to present a scientometric co-authorship' analysis on a preselected topic (e.g., low carbon initiatives, climate change, AI in transportation), using Cortext Manager and Arabesque: two web applications respectively mobilized to geocode authors' affiliations addresses at several geographical scales and filtering and exploration spatial networks for
thematic mapping purposes. Emphasis will be placed on examining the contributions of different countries or groups of countries to scientific advancements in the selected field and the collaboration patterns that emerge. This hands-on session will guide participants through spatial data analysis and network analysis enabling them to identify thematic and territorial patterns within scientific communities.
PhD Theses
Marteau–Bazouni, Marie
Les légumineuses à graines dans l’agriculture européenne face au changement cli- matique : modélisation, perceptions des acteurs et conception de politiques publiques. PhD Thesis
Université Paris-Saclay, AgroParistech, INRAE, 2025.
@phdthesis{Marteau–Bazouni2025,
title = {Les légumineuses à graines dans l’agriculture européenne face au changement cli- matique : modélisation, perceptions des acteurs et conception de politiques publiques.},
author = {Marie Marteau–Bazouni},
url = {https://pastel.hal.science/tel-05226380v1
https://pastel.hal.science/tel-05226380/document},
year = {2025},
date = {2025-08-27},
school = {Université Paris-Saclay, AgroParistech, INRAE},
abstract = {Augmenter la production et la consommation de légumineuses à graines est souvent proposé comme un levier majeur pour la transition agroécologique en Europe, en raison des nombreux bénéfices agronomiques, environnementaux et nutritionnels associés à ces cultures. Ces espèces sont cependant sensibles à de nombreux stress biotiques et abiotiques qui font obstacle à leur développement. Cette thèse vise à étudier les impacts du changement climatique sur les légumineuses à graines en Europe et à explorer les moyens de créer des conditions favorables au développement de ces cultures face au changement climatique.
Dans un premier axe, nous avons synthétisé les connaissances existantes issues de la modélisation.
Cette revue de la littérature a mis en évidence un effet contrasté du changement climatique sur les rendements du soja d’ici 2100, avec des gains au nord de l’Europe et des pertes dans certains bassins de production au sud. Plusieurs mesures d’adaptation simulées (e.g. irrigation, ajustement des dates de semis) pourraient accroître les rendements dans les conditions climatiques futures. Nous avons cependant mis en lumière d’importantes lacunes dans les connaissances disponibles, notamment une minorité de travaux (moins de 20%) concernant d’autres espèces que le soja, un manque de données sur certains facteurs liés au climat (e.g., CO2, bioagresseurs), sur l’évolution des performances autres que le rendement moyen (e.g., stabilité du rendement, services fournis) et sur la faisabilité économique et environnementale des mesures d’adaptation modélisées.
Dans un deuxième axe, nous avons étudié la manière dont différents acteurs des filières de légumineuses à graines en France perçoivent le changement climatique et imaginent les stratégies d’adaptation susceptibles de soutenir le développement de ces cultures. D’après les acteurs interrogés, le changement climatique constitue d’ores et déjà un frein au développement de ces espèces, et pourrait renforcer à l’avenir leur marginalisation par rapport aux céréales et oléagineux. Pour confirmer ces perceptions, nous avons, dans un troisième axe, modélisé l’impact passé et futur du changement climatique sur deux espèces clefs, le pois et la féverole, grâce à un algorithme de machine learning (Random Forest). Nous avons mis en évidence une contribution significative du changement climatique à la baisse des rendements de pois et féverole dans le passé récent (1981- 2020) et dans le futur (2020-2100). Le changement climatique a également contribué à l’accroissement des écarts de rendement avec des cultures « concurrentes » telles que le blé et le colza. En l’absence de stratégie d’adaptation volontariste, ces écarts continueront à se creuser.
Pour faire face aux effets du changement climatique, nous avons constaté que les acteurs interrogés expérimentent ou mettent en œuvre des mesures d’adaptation incrémentales (principalement des ajustements des techniques culturales), mais identifient un besoin d’adaptation transformante telle qu’une évolution drastique du système économique, réglementaire et institutionnel. Dans un dernier axe, nous avons donc étudié le rôle des politiques publiques passées sur le développement des légumineuses à graines. Nous avons notamment mis en évidence un manque de cohérence entre les instruments existants qui nuit à la mise en place d’une dynamique sur le long-terme. Pour dépasser ces limites, nous avons mis en œuvre une démarche de conception innovante, qui a conduit à des propositions pour des politiques publiques résolument orientées vers un soutien au développement pérenne des légumineuses à graines dans le contexte du changement climatique.},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
Dans un premier axe, nous avons synthétisé les connaissances existantes issues de la modélisation.
Cette revue de la littérature a mis en évidence un effet contrasté du changement climatique sur les rendements du soja d’ici 2100, avec des gains au nord de l’Europe et des pertes dans certains bassins de production au sud. Plusieurs mesures d’adaptation simulées (e.g. irrigation, ajustement des dates de semis) pourraient accroître les rendements dans les conditions climatiques futures. Nous avons cependant mis en lumière d’importantes lacunes dans les connaissances disponibles, notamment une minorité de travaux (moins de 20%) concernant d’autres espèces que le soja, un manque de données sur certains facteurs liés au climat (e.g., CO2, bioagresseurs), sur l’évolution des performances autres que le rendement moyen (e.g., stabilité du rendement, services fournis) et sur la faisabilité économique et environnementale des mesures d’adaptation modélisées.
Dans un deuxième axe, nous avons étudié la manière dont différents acteurs des filières de légumineuses à graines en France perçoivent le changement climatique et imaginent les stratégies d’adaptation susceptibles de soutenir le développement de ces cultures. D’après les acteurs interrogés, le changement climatique constitue d’ores et déjà un frein au développement de ces espèces, et pourrait renforcer à l’avenir leur marginalisation par rapport aux céréales et oléagineux. Pour confirmer ces perceptions, nous avons, dans un troisième axe, modélisé l’impact passé et futur du changement climatique sur deux espèces clefs, le pois et la féverole, grâce à un algorithme de machine learning (Random Forest). Nous avons mis en évidence une contribution significative du changement climatique à la baisse des rendements de pois et féverole dans le passé récent (1981- 2020) et dans le futur (2020-2100). Le changement climatique a également contribué à l’accroissement des écarts de rendement avec des cultures « concurrentes » telles que le blé et le colza. En l’absence de stratégie d’adaptation volontariste, ces écarts continueront à se creuser.
Pour faire face aux effets du changement climatique, nous avons constaté que les acteurs interrogés expérimentent ou mettent en œuvre des mesures d’adaptation incrémentales (principalement des ajustements des techniques culturales), mais identifient un besoin d’adaptation transformante telle qu’une évolution drastique du système économique, réglementaire et institutionnel. Dans un dernier axe, nous avons donc étudié le rôle des politiques publiques passées sur le développement des légumineuses à graines. Nous avons notamment mis en évidence un manque de cohérence entre les instruments existants qui nuit à la mise en place d’une dynamique sur le long-terme. Pour dépasser ces limites, nous avons mis en œuvre une démarche de conception innovante, qui a conduit à des propositions pour des politiques publiques résolument orientées vers un soutien au développement pérenne des légumineuses à graines dans le contexte du changement climatique.
Proceedings
Kim, Haesol; Kim, Eunjae; Jang, Sou Hyun; Shin, Eun Kyong
Semantic Landscape of Legal Lexicons: Unpacking Medical Decision-Making Controversies Proceedings
Springer, vol. 1, 2025, ISSN: 2367-3370, (International Conference on Inventive Computation Technologies http://www.icicts.com).
@proceedings{Kim2025,
title = {Semantic Landscape of Legal Lexicons: Unpacking Medical Decision-Making Controversies},
author = {Haesol Kim and Eunjae Kim and Sou Hyun Jang and Eun Kyong Shin},
url = {https://www.researchgate.net/profile/Jean-Claude-Munyaka-Baraka-2/publication/396901330_Sentiment_Analysis_on_the_Young_People\'s_Perception_About_the_Mobile_Internet_Costs_in_Senegal/links/68fcf9ff220a341aa1583188/Sentiment-Analysis-on-the-Young-Peoples-Perception-About-the-Mobile-Internet-Costs-in-Senegal.pdf#page=144},
doi = {10.1007/978-981-96-9709-0},
issn = {2367-3370},
year = {2025},
date = {2025-12-31},
urldate = {2025-12-31},
booktitle = {Proceedings of Tenth International Congress on Information and Communication Technology},
journal = {ICICT 2025},
volume = {1},
publisher = {Springer},
abstract = {This study empirically examined historical trajectories of the semantic landscape of legal conflicts over medical decision-making. We unveiled the lexical structures of lawsuit verdicts, tracing how the core concepts of shared decision-making (SDM)-duty of care, duty to explain, self-determination-have developed and been contextualized in legal discourses. We retrieved publicly available court verdicts using the search keyword ‘patient’ and screened them for relevance to doctor-patient communications. The final corpus comprised 251 South Korean verdicts issued between 1974 and 2023. We analyzed the verdicts using neural topic modeling and semantic network analysis. Our study showed that topic diversity has expanded over time, indicating increased complexity of semantic structures regarding medical decision-making conflicts. We also found two dominant topics: disputes over healthcare providers’ liability and disputes over the compensation for medical malpractice.
The results of semantic network analysis showed that the rhetorics of patients’ right to medical self-determination are not closely tied to the professional responsibility to explain and care. The decoupled semantic relationships of patients’ right and health professionals’ duties revealed the barriers of SDM implementations.},
note = {International Conference on Inventive Computation Technologies
http://www.icicts.com},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
The results of semantic network analysis showed that the rhetorics of patients’ right to medical self-determination are not closely tied to the professional responsibility to explain and care. The decoupled semantic relationships of patients’ right and health professionals’ duties revealed the barriers of SDM implementations.
Bianes, Joseph Raniel Alvarez; Jr, Armando Victoria; Muhi, Manuel M.
Essential Soft Skills for Construction Project Managers to Achieve Sustainable Development Goals: A Bibliometric and Comprehensive Review Proceedings
2025, (International Exchange and Innovation Conference on Engineering & Science (IEICES)).
@proceedings{Bianes2025,
title = {Essential Soft Skills for Construction Project Managers to Achieve Sustainable Development Goals: A Bibliometric and Comprehensive Review},
author = {Joseph Raniel Alvarez Bianes and Armando Victoria Jr and Manuel M. Muhi},
url = {https://catalog.lib.kyushu-u.ac.jp/opac_detail_md/?lang=0&amode=MD100000&bibid=7395700
https://catalog.lib.kyushu-u.ac.jp/opac_download_md/7395700/2025_p1450.pdf},
doi = {/10.5109/7395700},
year = {2025},
date = {2025-10-30},
urldate = {2025-10-30},
journal = {Kyushu University Institutional Repository},
issue = {11},
pages = {450-145},
school = {Kyushu University},
abstract = {The construction industry is considered one of the significant industries behind the economic success of most developed and developing countries. Its detrimental effects on the environment and society raise concerns among global leaders and environmental groups, leading to the birth of the United Nations Sustainable Development Goals (SDG) in 2015. Project managers play a crucial role in the success of any construction project. They must possess technical and soft skills to handle evolving needs, financial limitations, and diverse teams with various cultural backgrounds. However, soft skills are often overlooked and have only recently gained interest in global research. Hence, the main objective of this study is to identify the essential soft skills of project managers and uncover their connections with attaining the SDGs using the published articles in the Scopus database. The bibliometric review was performed on a corpus of 403 articles through CorText Manager to identify the prominent journals, visualize their relationship with the top keywords, and analyze the co-occurrence and evolution among the keywords based on the string search keyword used. A comprehensive review of these articles found that the essential soft skills of project managers are Leadership, Communication, Stakeholder Management, and Conflict Resolution. Also, the reviewed papers were most aligned with attaining SDGs 9, 11, and 12. Likewise, most of these studies used the PLS-Structural Equation Modeling (PLS-SEM). Future research should continue to explore the interplay between soft skills and project outcomes, employing diverse methodologies to capture the nuances of interpersonal dynamics in construction management.},
note = {International Exchange and Innovation Conference on Engineering & Science (IEICES)},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
Denoyelle, Lanzo; Hamouche, Rédha; Kocik, Rémy; Dokladalova, Eva; Hautière, Nicolas
Review of Autonomous Racing Competitions and Technologies Proceedings
2025, (Proceedings of 8th International Symposium on Future Active Safety Technology towards Zero-Traffic Accidents hal-05330945).
@proceedings{Denoyelle2025,
title = {Review of Autonomous Racing Competitions and Technologies},
author = {Lanzo Denoyelle and Rédha Hamouche and Rémy Kocik and Eva Dokladalova and Nicolas Hautière},
url = {https://hal.science/hal-05330945v1},
year = {2025},
date = {2025-10-25},
abstract = {This work comprehensively analyzes autonomous racing competitions and their technologies, addressing a gap in current literature. We evaluate these platforms through five key metrics: cost, system modularity, speed performance, technical complexity, and academic impact. Using bibliometric analysis of scientific literature, we identify dominant technologies, including Model Predictive Control and reinforcement learning. Our comparative framework reveals clear trade-offs: Formula Student Driverless offers accessibility and academic involvement but features lower speeds. At the same time, full-scale competitions like Indy Autonomous Challenge provide high-velocity testing but at increased cost. Reduced-scale platforms serve as valuable precursors to full-scale projects, offering cost-effective insights into perception, control, and system integration. The study demonstrates how competitions complement each other in advancing autonomous driving technologies and identifies patterns in simulator usage for algorithm development and validation. This comparison provides researchers with guidance for selecting appropriate platforms based on research objectives and available resources. },
note = {Proceedings of 8th International Symposium on Future Active Safety Technology towards Zero-Traffic Accidents
hal-05330945},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
2024
Journal Articles
Marvin, John F. Uy; Miguel, Enrico L. Robles; Chiny, C. Vispo; Oh, Yugyeong; Jeon, Minsu; Kim, Lee Hyung
Analyzing Research Trends in Deep-Tunnel Systems and Evaluation of Stormwater Pollutant Removal for Urban Runoff Management Journal Article
In: Journal of the Korean Society of Hazard Mitigation, vol. 24, iss. 6, pp. 61-72, 2024, ISSN: 738-2424.
@article{Marvin2024,
title = {Analyzing Research Trends in Deep-Tunnel Systems and Evaluation of Stormwater Pollutant Removal for Urban Runoff Management},
author = {John F. Uy Marvin and Enrico L. Robles Miguel and C. Vispo Chiny and Yugyeong Oh and Minsu Jeon and Lee Hyung Kim},
url = {https://www.j-kosham.or.kr/journal/view.php?number=10680
https://www.j-kosham.or.kr/upload/pdf/KOSHAM-2024-24-6-61.pdf},
doi = {/10.9798/KOSHAM.2024.24.6.61},
issn = {738-2424},
year = {2024},
date = {2024-12-31},
journal = {Journal of the Korean Society of Hazard Mitigation},
volume = {24},
issue = {6},
pages = {61-72},
abstract = {Deep-tunnel systems are increasingly being recognized as an infrastructure solution for mitigating combined sewer overflows (CSOs) and managing urban stormwater, as evidenced by growing research interest. This study employed a bibliometric analysis method using Scopus to evaluate global research trends in deep-tunnel systems. This method revealed that while early studies primarily focused on flood mitigation, recent research has shifted toward exploring water quality improvements. An initial comprehensive review using keywords from the bibliometric analysis was conducted, highlighting the limited data relating deep-tunnel systems to water quality and underscoring a gap in the literature. A subsequent comprehensive review focusing on urban stormwater runoff was conducted to bridge the knowledge gap between flood mitigation and water quality enhancement in urban stormwater management. The analysis indicated that mixed urban areas showed the highest range of TSS concentrations, with a mean of 238.3 mg/L, while urban roads exhibited the highest mean TN and TP concentrations at 93.6 mg/L and 0.49 mg/L, respectively. For deep-tunnel systems, a design approach that considers the characteristics of pollutants in incoming stormwater and their reduction mechanisms is essential. This study’s findings provide foundational data for the development of deep-tunnel systems with integrated water treatment functions. Such systems could enhance urban resilience by addressing both flood risk and water quality challenges in rapidly urbanizing areas.
대심도 터널 시스템은 합류식 하수도 월류수(CSOs)를 완화하고, 도시 강우유출수를 관리하기 위한 인프라 기술로 점점 주목받고 있어 이에 대한 연구 관심도 증가하고 있다. 본 연구는 Scopus를 활용한 계량서지학적 분석을 통해 대심도 터널 시스템의 광범위한 연구동향을 평가하였다. 연구결과, 초기 연구에 주로 홍수완화를 중점으로 연구하였지만 최근들어 수질개선 가능성에 대한 관심이 높아졌다. 계량서지학적 분석을 통해 도출한 키워드를 바탕으로 초기 종합검토를 수행한 결과, 대심도 터널 시스템과 수질에 관한 문헌자료가 제한되어 데이터를 수집하는데 한계적이었다. 이러한 지식격차 문제를 해결하기 위해 홍수완화 및 수질개선을 도시 강우유출수 관리 바탕으로 후속 종합검토를 수행하였다. 그 결과 혼합 도시지역의 TSS 농도는 평균 238.3 mg/L로 가장 높은 수치가 나타났고, 도시 도로의 TN, TP 농도는 각각 평균 93.6 mg/L, 0.49 mg/L로 가장 높은 수치가 나타났다. 따라서 대심도 터널 시스템 설계 시 유입수의 오염물질 특성과 저감기작을 고려해야한다. 본 연구결과를 통하여 통합 수처리 기능을 갖춘 대심도 터널 시스템을 개발하는데 기초자료로 제공 가능하며, 이러한 시스템은 급격히 도시화되는 지역의 홍수위험과 수질문제를 동시에 해결함으로 도시 회복력을 강화하는 잠재력을 가지고 있다.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
대심도 터널 시스템은 합류식 하수도 월류수(CSOs)를 완화하고, 도시 강우유출수를 관리하기 위한 인프라 기술로 점점 주목받고 있어 이에 대한 연구 관심도 증가하고 있다. 본 연구는 Scopus를 활용한 계량서지학적 분석을 통해 대심도 터널 시스템의 광범위한 연구동향을 평가하였다. 연구결과, 초기 연구에 주로 홍수완화를 중점으로 연구하였지만 최근들어 수질개선 가능성에 대한 관심이 높아졌다. 계량서지학적 분석을 통해 도출한 키워드를 바탕으로 초기 종합검토를 수행한 결과, 대심도 터널 시스템과 수질에 관한 문헌자료가 제한되어 데이터를 수집하는데 한계적이었다. 이러한 지식격차 문제를 해결하기 위해 홍수완화 및 수질개선을 도시 강우유출수 관리 바탕으로 후속 종합검토를 수행하였다. 그 결과 혼합 도시지역의 TSS 농도는 평균 238.3 mg/L로 가장 높은 수치가 나타났고, 도시 도로의 TN, TP 농도는 각각 평균 93.6 mg/L, 0.49 mg/L로 가장 높은 수치가 나타났다. 따라서 대심도 터널 시스템 설계 시 유입수의 오염물질 특성과 저감기작을 고려해야한다. 본 연구결과를 통하여 통합 수처리 기능을 갖춘 대심도 터널 시스템을 개발하는데 기초자료로 제공 가능하며, 이러한 시스템은 급격히 도시화되는 지역의 홍수위험과 수질문제를 동시에 해결함으로 도시 회복력을 강화하는 잠재력을 가지고 있다.
Milia, Matias Federico
BRICS in mainstream social sciences. Mapping the imagination of an emerging global south phenomenon. Journal Article
In: Center for Open Science, 2024.
@article{Milia2024,
title = {BRICS in mainstream social sciences. Mapping the imagination of an emerging global south phenomenon.},
author = {Matias Federico Milia},
url = {https://osf.io/download/67fac44f417c91814641c11c/},
year = {2024},
date = {2024-12-01},
journal = {Center for Open Science},
abstract = {Since the early 2000s, the notion of BRICS has captured an essential part of the social sciences' imagination about genuine and possible shifts in the world system. In different fora, reference to the BRICS countries have become increasingly unavoidable when discussing economic growth, development, global governance, and emerging powers in a transnational setting. Moreover, in recent years, BRICS countries have come together to rise as new global players in international affairs. The original claim of BRICS as the new global locomotive for economic growth gradually made space for a more nuanced set of discussions related to how these imagined geographies of prosperity to come could play leading roles in the world's political and economic agenda, promoting development and progress (Pinheiro 2017:51).
The emergence of BRICS as a Global South phenomenon functions as multi-folded process where historically and geographically situated understandings of global circulations clash, overlap, and compete to preserve or modify existing epistemic frameworks or establish novel analytical lenses.
Social sciences, from political science to development studies, play a crucial part in breaking down, one document at the time, how these expectations and hopes of rising prosperity and reconfiguration of global affairs unfolded. Scientific discussions about this bloc provide meaningful insight into the variety of systematic approaches adopted to understand these emerging flows within the world system, as the latter claim to hold the potential to reorder it beyond the Washington Consensus. The bi-directional capillarity of social sciences that connects them with crucial intellectual functions in our current world —from advisory functions to training technical workforce— offers, a point of entry to map and understand
broader societal changes. From this profoundly relational nature, different social science disciplines offer, then, a peek into the kind of imagination that the idea of the BRICS has set in motion among different experts and research communities.
In a more concrete manner, the social sciences have played a relevant role in building new initiatives to discuss and further investigate these BRICS-related transformations. Bridging area studies, rising post-colonial traditions, and a vast network of diaspora intellectuals from a sociological are central spaces where these discussions have taken place. However, other social sciences such as economics, international relations, and business-related disciplines, have also addressed the array of questions that new global players have raised. Because of this variety of entangled interests, BRICS can function as a meaningful research object as it captures a set of documented accounts of a process in the making, along
with the vast array of collective expectations attached to them.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The emergence of BRICS as a Global South phenomenon functions as multi-folded process where historically and geographically situated understandings of global circulations clash, overlap, and compete to preserve or modify existing epistemic frameworks or establish novel analytical lenses.
Social sciences, from political science to development studies, play a crucial part in breaking down, one document at the time, how these expectations and hopes of rising prosperity and reconfiguration of global affairs unfolded. Scientific discussions about this bloc provide meaningful insight into the variety of systematic approaches adopted to understand these emerging flows within the world system, as the latter claim to hold the potential to reorder it beyond the Washington Consensus. The bi-directional capillarity of social sciences that connects them with crucial intellectual functions in our current world —from advisory functions to training technical workforce— offers, a point of entry to map and understand
broader societal changes. From this profoundly relational nature, different social science disciplines offer, then, a peek into the kind of imagination that the idea of the BRICS has set in motion among different experts and research communities.
In a more concrete manner, the social sciences have played a relevant role in building new initiatives to discuss and further investigate these BRICS-related transformations. Bridging area studies, rising post-colonial traditions, and a vast network of diaspora intellectuals from a sociological are central spaces where these discussions have taken place. However, other social sciences such as economics, international relations, and business-related disciplines, have also addressed the array of questions that new global players have raised. Because of this variety of entangled interests, BRICS can function as a meaningful research object as it captures a set of documented accounts of a process in the making, along
with the vast array of collective expectations attached to them.
Montarry, Josselin; Biget, Marine; Chereau, Sylvain; Lebreton, Lionel; Grenier, Eric; Fournet, Sylvain
The carrot cyst nematode Heterodera carotae: a major plant-parasitic nematode requiring more investigation Journal Article
In: Nematology , vol. 26, pp. 1079-1089, 2024, ISSN: 1388-5545.
@article{Montarry2024,
title = {The carrot cyst nematode Heterodera carotae: a major plant-parasitic nematode requiring more investigation},
author = {Josselin Montarry and Marine Biget and Sylvain Chereau and Lionel Lebreton and Eric Grenier and Sylvain Fournet},
url = {https://brill.com/view/journals/nemy/26/10/article-p1079_1.xml},
doi = {http://dx.doi.org/10.1163/15685411-bja10361},
issn = {1388-5545},
year = {2024},
date = {2024-10-22},
journal = {Nematology },
volume = {26},
pages = {1079-1089},
publisher = {Brill},
abstract = {The present study reviews the knowledge to date on the carrot cyst nematode Heterodera carotae, which has become the primary threat to the carrot sector following the withdrawal of the last chemical soil fumigants in Europe. A keyword co-occurrence network was used to structure this review into five research areas: i) biology and epidemiology of H. carotae; ii) molecular identification and phylogeny; iii) population genetics and genomics; iv) control methods and strategies; and v) root exudates and hatching stimulation. Our findings indicate that H. carotae is an under-studied plant-parasitic nematode species, with several identified alternative control methods that require further investigation.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Toma, Pierluigi; Laurens, Patricia
Regional Heterogeneities and Intellectual Capital: unveiling the impact between innovation and tradition Journal Article
In: Socio-Economic Planning Sciences, 2024, (hal-04745720).
@article{Toma2024b,
title = {Regional Heterogeneities and Intellectual Capital: unveiling the impact between innovation and tradition},
author = {Pierluigi Toma and Patricia Laurens},
url = {https://hal.science/hal-04745720/
},
doi = {/10.1016/j.seps.2024.102087},
year = {2024},
date = {2024-10-21},
journal = {Socio-Economic Planning Sciences},
abstract = {The importance of regional development, especially in rural areas, has increased in the globalized world, with a focus on the relationship between economic development and the territory.
Intellectual capital, consisting of human capital, relational capital, and structural capital, is crucial for rural development. In the agri-food sector, intellectual capital includes innovation and tradition, which are often wrongly perceived as incompatible. The impact of intellectual capital on regional development has not been widely studied, particularly in the context of the Italian agrifood sector, which has a long tradition and strong territorial heterogeneity. This paper aims to measure the impact of intellectual capital and know-how on regional development in the agricultural sector using a nonparametric efficiency methodology applied to a unique geographic area-based dataset. The study finds that innovation, measured by patents, has a better impact on efficiency than the relational component, which has an inverted U-shaped effect. Too much concentration of different consortia in the same area does not favor efficiency but results in negative externalities. In contrast, innovation has a positive effect on efficiency at any level. A synergy effect was evidenced with the coexistence of both technological innovation and certification activities. We also study how the efficiency also varies according to regional characteristics such as the location of the region in Italy (north versus Center and south), the type of the regions (urban versus rural) or the size.},
note = {hal-04745720},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Intellectual capital, consisting of human capital, relational capital, and structural capital, is crucial for rural development. In the agri-food sector, intellectual capital includes innovation and tradition, which are often wrongly perceived as incompatible. The impact of intellectual capital on regional development has not been widely studied, particularly in the context of the Italian agrifood sector, which has a long tradition and strong territorial heterogeneity. This paper aims to measure the impact of intellectual capital and know-how on regional development in the agricultural sector using a nonparametric efficiency methodology applied to a unique geographic area-based dataset. The study finds that innovation, measured by patents, has a better impact on efficiency than the relational component, which has an inverted U-shaped effect. Too much concentration of different consortia in the same area does not favor efficiency but results in negative externalities. In contrast, innovation has a positive effect on efficiency at any level. A synergy effect was evidenced with the coexistence of both technological innovation and certification activities. We also study how the efficiency also varies according to regional characteristics such as the location of the region in Italy (north versus Center and south), the type of the regions (urban versus rural) or the size.
Toma, Pierluigi; Laurens, Patricia
Regional development and intellectual capital: Unveiling the innovation-tradition dilemma Journal Article
In: Socio-Economic Planning Sciences, vol. 96, pp. 102087, 2024, ISSN: 0038-0121.
@article{Toma2024,
title = {Regional development and intellectual capital: Unveiling the innovation-tradition dilemma},
author = {Pierluigi Toma and Patricia Laurens},
url = {https://www.sciencedirect.com/science/article/pii/S0038012124002878},
doi = {/10.1016/j.seps.2024.102087},
issn = {0038-0121},
year = {2024},
date = {2024-10-05},
journal = {Socio-Economic Planning Sciences},
volume = {96},
pages = {102087},
abstract = {In the agri-food sector, intellectual capital includes innovation and tradition, which are often wrongly perceived as incompatible. The impact of intellectual capital on regional development has not been widely studied, particularly in the context of the Italian agri-food sector, which has a strong territorial heterogeneity. This paper aims to measure the impact of intellectual capital and know-how on regional development in the agricultural sector using a nonparametric efficiency methodology applied to a unique geographic area-based dataset. The study finds that innovation, measured by patents, has a better impact on efficiency than the relational component, which has an inverted U-shaped effect.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Bautista-Puig, Núria; Orduña-Malea, Enrique
How do Citizens Engage with Science. Challenges and Recommendations Journal Article
In: Profesional De La información, vol. 33, iss. 6, 2024, ISSN: 1699-2407.
@article{Bautista-Puig2024b,
title = {How do Citizens Engage with Science. Challenges and Recommendations},
author = {Núria Bautista-Puig and Enrique Orduña-Malea},
url = {https://revista.profesionaldelainformacion.com/index.php/EPI/article/view/87884},
doi = {/10.3145/epi.2024.0601},
issn = {1699-2407},
year = {2024},
date = {2024-09-03},
urldate = {2025-01-03},
journal = {Profesional De La información},
volume = {33},
issue = {6},
abstract = {Citizen science (CS) has become a crucial form of public participation in science, helping to address global challenges and contribute to more democratic knowledge production. Despite its increasing presence (including literature reviews), uncertainties persist regarding the quality of data collected, the level of citizen participation, and ethical concerns. This editorial explores CS participation, aiming to provide a comprehensive analysis of engagement patterns, and challenges, and offering recommendations to enhance citizen involvement in scientific initiatives. A systematic review of existing literature indexed on Web of Science is conducted, following the PRISMA framework. The review covered 1,613 selected studies examining ‘participation’ across various scientific fields, identifying the methodologies used and the factors influencing engagement, such as benefits, challenges, and ethical concerns. The results reveal a growing trend in CS, particularly in the natural sciences, with citizen involvement mostly limited to data collection rather than higher-level engagement like analysis or decision-making. The study also highlights the underrepresentation of social sciences and the need for more interdisciplinary approaches. In conclusion, the article calls for increased interdisciplinarity, greater integration of citizens in decision-making processes, diversification of participatory methods, and context-specific strategies for participation. It emphasizes the importance of fostering public trust and awareness in science and proposes that these actions will improve the inclusivity and impact of citizen science initiatives.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Bamal, Deepika; Duhan, Anil; Beniwal, Ravi Kumar; Sindhu, Jayant; Kumawat, Priyanka; Pal, Ajay; Dhanda, Sachin; Goyat, Ankit; Hooda, Virender Singh; Rajpaul,
Exploring allelochemicals for cleaner and sustainable agriculture: A bibliometric review on research trends, challenges and future prospective Journal Article
In: Physiologia Plantarum, 2024.
@article{Bamal2024,
title = {Exploring allelochemicals for cleaner and sustainable agriculture: A bibliometric review on research trends, challenges and future prospective},
author = {Deepika Bamal and Anil Duhan and Ravi Kumar Beniwal and Jayant Sindhu and Priyanka Kumawat and Ajay Pal and Sachin Dhanda and Ankit Goyat and Virender Singh Hooda and Rajpaul},
url = {https://onlinelibrary.wiley.com/doi/epdf/10.1111/ppl.14472},
doi = {/10.1111/ppl.14472},
year = {2024},
date = {2024-08-12},
journal = {Physiologia Plantarum},
abstract = {Allelopathic research is not getting the intended consideration because of the complexities involved in their isolation, identification, understanding their modes of action, interactions with other environmental factors, impacts on non-target organisms and exploration of their utility in diverse fields. Additionally, their variability and trace availability have presented hurdles in establishing future research utilities and their field applications. Exploring the historical context of allelopathic research is essential for obtaining a more profound understanding of the progression in this research domain and to identify the research gaps and potential future prospectives. Therefore, the current bibliometric review aims to examine the research advancements, trends, hotspots, research gaps and to identify future prospectives in allelopathic research. A Scopus database search was carried out to collect the bibliometric data using the combination of multiple search strings in advance search option. The outcomes of this study revealed a total of 5427 published articles, with an average of 19.12 citations per article. Despite the increasing trend in research and publications on allelopathy/allelochemicals over the last decade, the majority of allelopathic research remains focused on investigating novel allelochemicals and their potential for weed management. Other crucial considerations like their phytotoxicity and ecotoxicity, selectivity for crop growth, interactions with herbicides and their derivatives, biochemical signalling, identification of germplasm in allelopathic plants, inducing allelopathic trait into enhanced cultivars, their ultimate fate in the open environment are sparsely investigated. It is anticipated that this review will draw greater attention to some overlooked domains within allelopathic research.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Truchet-Aznar, Stéphanie; Aubert, Francis; Aznar, Olivier; Davi, Béatrice
How Does Regional Science Address Environmental Issues? A Bibliometric Analysis of Two Decades of Publications Journal Article
In: Sage, 2024, ISSN: 0160-0176.
@article{Truchet-Aznar2024,
title = {How Does Regional Science Address Environmental Issues? A Bibliometric Analysis of Two Decades of Publications},
author = {Stéphanie Truchet-Aznar and Francis Aubert and Olivier Aznar and Béatrice Davi},
url = {https://journals.sagepub.com/doi/full/10.1177/01600176241267206},
doi = {/10.1177/01600176241267206},
issn = {0160-0176},
year = {2024},
date = {2024-07-23},
journal = {Sage},
publisher = {SAGE Publications},
abstract = {Using bibliometric methods, this paper is aimed at providing an overview of Regional Science publications that address environmental issues. The analysis covers a corpus of 1145 articles that refer to the environment in their title, abstract or keywords and published in 18 journals between 1999 and 2020. Although these publications account for only 6 percent of the articles published in these journals over that period, their number gradually increased. To gain a clearer picture of the environmental issues addressed, we characterise them according to whether an integrative or topical approach is adopted and by their spatial dimensions. This analytical framework is first applied by searching for specific terms in their title, keywords and abstract. The results show that both approaches are equally effective; further, these articles address intraregional or interregional environmental issues more than global environmental issues. Second, we conduct a keyword co-occurrence analysis revealing four coherent thematic article groups treating environmental issues from the perspectives of amenities and migration, governance and policy, innovation and clusters, and land use and urban sprawl. More detailed analyses of each group allowed us to refine our understanding of how environmental issues were addressed. Finally, a cross-cutting view of the four thematic groups suggests that Regional Science approaches environmental issues through spatial disparities and inequalities, spatial interactions and interdependencies, and the spatial dimension of public action. The research perspectives in each of these areas are highlighted.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Mesmoudi, Salma; Dégeilh, Fanny; Cancino, Waldo; Rodic, Mathieu; Peschanski, Denis; Eustache, Francis
Transdisciplinary method for exploration and visualization of neuroimaging papers and databases: Application to PTSD Journal Article
In: 2024, (Annales Médico-psychologiques, revue psychiatrique).
@article{Mesmoudi2024,
title = {Transdisciplinary method for exploration and visualization of neuroimaging papers and databases: Application to PTSD},
author = {Salma Mesmoudi and Fanny Dégeilh and Waldo Cancino and Mathieu Rodic and Denis Peschanski and Francis Eustache},
url = {https://www.sciencedirect.com/science/article/pii/S0003448724002142},
doi = {/10.1016/j.amp.2024.06.003},
year = {2024},
date = {2024-07-14},
urldate = {2024-07-14},
abstract = {A major improvement in MRI techniques has led to an exponential increase in data acquisition and, consequently, in the number of published articles reporting brain impairments and cognitive deficits underlying a disorder. Meta-analysis offers a means of synthesizing the available literature, testing existing models in the light of scientific advances, and revealing unexpected information. However, article selection, author specialization and top-down hypotheses can mask some results and introduce bias into interpretations. LinkRdata is a platform for automated, data-driven, meta-analytical methods suitable for processing large numbers of MRI articles, that can reduce selection and interpretation biases, thereby allowing scientists to review neurocognitive correlates of disorders in relation to their own corpus of articles. To validate our method, we applied it to fMRI studies of post-traumatic stress disorder. Results confirmed LinkRdata's power to uncover findings hidden by the top-down hypothesis approach.
Méthode transdisciplinaire d’exploration et de visualisation d’articles et de bases de données de neuroimagerie : application au stress post-traumatique
Une amélioration majeure des techniques d’IRM a conduit à une augmentation exponentielle de l’acquisition de données et, par conséquent, du nombre d’articles publiés rapportant des altérations cérébrales et des déficits cognitifs liés à un trouble. La méta-analyse offre un moyen de synthétiser la littérature disponible, de tester les modèles existants à la lumière des avancées scientifiques, et de révéler des informations inattendues. Cependant, la sélection des articles, la spécialisation des auteurs et les hypothèses descendantes peuvent masquer certains résultats et introduire des biais dans les interprétations. LinkRdata est une plateforme de méthodes méta-analytiques automatisées et basées sur les données, adaptée au traitement d’un grand nombre d’articles d’IRM, qui peut réduire les biais de sélection et d’interprétation, permettant ainsi aux chercheurs de passer en revue les corrélats neurocognitifs des troubles en relation avec leur propre corpus d’articles. Pour valider notre méthode, nous l’avons appliquée à des études d’IRMf sur le trouble de stress post-traumatique. Les résultats ont confirmé la capacité de LinkRdata à mettre en évidence des résultats cachés par l’approche hypothétique descendante.},
note = {Annales Médico-psychologiques, revue psychiatrique},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Méthode transdisciplinaire d’exploration et de visualisation d’articles et de bases de données de neuroimagerie : application au stress post-traumatique
Une amélioration majeure des techniques d’IRM a conduit à une augmentation exponentielle de l’acquisition de données et, par conséquent, du nombre d’articles publiés rapportant des altérations cérébrales et des déficits cognitifs liés à un trouble. La méta-analyse offre un moyen de synthétiser la littérature disponible, de tester les modèles existants à la lumière des avancées scientifiques, et de révéler des informations inattendues. Cependant, la sélection des articles, la spécialisation des auteurs et les hypothèses descendantes peuvent masquer certains résultats et introduire des biais dans les interprétations. LinkRdata est une plateforme de méthodes méta-analytiques automatisées et basées sur les données, adaptée au traitement d’un grand nombre d’articles d’IRM, qui peut réduire les biais de sélection et d’interprétation, permettant ainsi aux chercheurs de passer en revue les corrélats neurocognitifs des troubles en relation avec leur propre corpus d’articles. Pour valider notre méthode, nous l’avons appliquée à des études d’IRMf sur le trouble de stress post-traumatique. Les résultats ont confirmé la capacité de LinkRdata à mettre en évidence des résultats cachés par l’approche hypothétique descendante.
Li, Bo; Xu, Zeshui; Wang, Xinxin
Computational intelligence and its dynamic development: statistical exploration, comprehensive evaluation and prospect expansion Journal Article
In: Soft Computing, vol. 28, pp. 9371–9386, 2024.
@article{Li2024,
title = {Computational intelligence and its dynamic development: statistical exploration, comprehensive evaluation and prospect expansion},
author = {Bo Li and Zeshui Xu and Xinxin Wang},
url = {https://link.springer.com/article/10.1007/s00500-024-09789-7},
doi = {/10.1007/s00500-024-09789-7},
year = {2024},
date = {2024-07-05},
journal = {Soft Computing},
volume = {28},
pages = {9371–9386},
abstract = {Computational intelligence (CI) has become one of the most useful and successful tools for dealing with uncertainties and complex problems in many fields, such as neural networks, genetic algorithms, and swarm intelligence, artificial intelligence, risk management, financial monitoring, etc. With the development of CI, abundant publications have arisen related to many research directions and hotspots. Based on the technical support from bibliometrics and the corresponding approach as well as the content analysis, this study conducts a science mapping analysis and a coherent knowledge picture of the research field in CI. The research contributes to clear future development trends and provides more ideas for scholars in this field. First, this paper focuses on the fundamental characteristics of CI publications, including annual numbers, term co-occurrence, and hot research directions, as the preliminary exploration of this field. Then, according to the widely used core database, i.e., Web of Science (WoS), and the technologies of software, VOS viewer, and CiteSpace, the productive institutions, authors, and journals are explored. Next, the corresponding internal characteristics of the CI research are analyzed, including the citation features of countries/regions, institutions, journals and authors. Furthermore, to analyze the development trend of research hotspots, the keywords of all CI publications are studied: (a) classifying them into three phases in chronological order aimed; (b) implementing the burst detection algorithm to intuitively reflect the scientific research in the field of CI. Finally, this paper provides a relatively throughout perspective for the CI articles and reviews and discloses the future development trend, which will help the scholars interested in this area conduct deep research. We conclude this bibliometric overview with the limitations and recommendations for future research in the field of CI.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
de Souza, Mariana Augusta
Consumer differences between generation y (millennials) and Generation Z: a bibliometric review Journal Article
In: Revista Eletrônica de Administração, vol. 23, iss. 1, no. 44, 2024, ISSN: 1679-9127.
@article{deSouza2024,
title = {Consumer differences between generation y (millennials) and Generation Z: a bibliometric review},
author = {Mariana Augusta de Souza},
url = {http://periodicos.unifacef.com.br/rea/article/view/2566
http://periodicos.unifacef.com.br/rea/article/view/2682327.23.1-5/1954},
doi = {/10.29327/2682327.23.1-5},
issn = {1679-9127},
year = {2024},
date = {2024-06-30},
journal = {Revista Eletrônica de Administração},
volume = {23},
number = {44},
issue = {1},
school = {Universidade Estadual de Maringá},
abstract = {A segmentação de mercado por geração é chamada de Generational Cohort. Os estudos envolvem análise do perfil de consumidores que compartilham a época de nascimento, comparando suas preferências com as de outras gerações. Embora possua compradores já adultos, a Geração Z ainda é pouco explorada. Assim, indaga-se: quais as diferenças entre as preferências dos consumidores da Geração Y e da Geração Z? Realizou-se uma revisão sistemática comparando os estudos dos últimos dez anos sobre o comportamento destas duas gerações, separadamente. Os artigos foram obtidos na base de dados do WOS e analisados bibliometricamente. Observou-se que a Geração Z tem se mostrado um hot topic, apresentando um crescimento exponencial de pesquisas. O estudo também mapeia as principais teorias utilizadas, principais autores, journals e artigos, os quais po-dem ser utilizados como referência para futuras pesquisas. Por fim, são apresentados dois gráficos referentes aos domínios (subtemas) de pesquisa da Geração Y e Z.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Rikap, Cecilia
In: Review of inteRnational Political economy, 2024.
@article{Rikap2024,
title = {Varieties of corporate innovation systems and their interplay with global and national systems: Amazon, Facebook, Google and Microsoft’s strategies to produce and appropriate artificial intelligence},
author = {Cecilia Rikap},
url = {https://www.tandfonline.com/doi/pdf/10.1080/09692290.2024.2365757},
doi = {https://doi.org/10.1016/j.seps.2024.102087},
year = {2024},
date = {2024-06-24},
urldate = {2024-06-24},
journal = {Review of inteRnational Political economy},
abstract = {The widely accepted globalization of innovation entails two interrelated undertheorized aspects: (1) the capacity of certain firms to orchestrate transnational innovation systems appropriating successful results, which some have explained with the concept of corporate innovation systems (CIS), and (2) the co-existence of such globalization with those CIS and national innovation systems. I address these matters analysing US Big Tech artificial intelligence (AI) CIS showing that they combine multiple mechanisms to co-produce and appropriate AI. I propose ‘frenemy’ to describe Microsoft’s strategy because many Chinese organizations and even direct competitors integrate its CIS. ‘University’ symbolises Google’s strategy, given its focus on fundamental AI, its central place in the AI research field and appropriation mechanisms that are not translating into clear business advantages. ‘Secrecy’ defines Amazon’s strategy, maximizing knowledge inflows while minimizing outflows. Facebook, with the narrowest AI CIS, exhibits an ‘application-centred’ strategy. Ultimately, this paper contributes to understanding the multiple mechanisms used by leading corporations for controlling and shaping frontier transnational knowledge production and appropriation. By doing so, it advances our knowledge of the interplay between different innovation spheres (national, global and corporate) and highlights the dangers of CIS’s encroachment of national and global systems.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
LIST OF SCIENTIFIC WORKS THAT HAVE USED CORTEXT MANAGER
(Sources: Google Scholar, HAL, Scopus, WOS and search engines)
We are grateful that you have found CorTexT Manager useful. Over the years, you have been more than 1050 authors to trust CorTexT for your publicly accessible analyzes. This represents a little less than 10% of CorTexT Manager user’s community. So, thank you!
We seek to understand how the scientific production that used CorText Manager has evolved and to characterise it. You will find here our analysis of this scientific production.
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