2026
Journal Articles
1.
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}
}
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.
Unpublished
2.
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}
}
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.
2025
Journal Articles
3.
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}
}
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.
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.
Proceedings
4.
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}
}
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.
2024
Journal Articles
5.
Bautista-Puig, Núria; Barreiro-Gen, María; Statulevičiūtė, Gustė; Stančiauskas, Vilius; Dikmener, Gokhan; Akylbekova, Dina; Lozano, Rodrigo
Unraveling public perceptions of the Sustainable Development Goals for better policy implementation Journal Article
In: Science of The Total Environment, vol. 912, pp. 169114, 2024, ISSN: 0048-9697.
@article{Bautista-Puig2024,
title = {Unraveling public perceptions of the Sustainable Development Goals for better policy implementation},
author = {Núria Bautista-Puig and María Barreiro-Gen and Gustė Statulevičiūtė and Vilius Stančiauskas and Gokhan Dikmener and Dina Akylbekova and Rodrigo Lozano},
url = {https://www.sciencedirect.com/science/article/pii/S0048969723077446},
doi = {/10.1016/j.scitotenv.2023.169114},
issn = {0048-9697},
year = {2024},
date = {2024-02-20},
journal = {Science of The Total Environment},
volume = {912},
pages = {169114},
abstract = {Public participation is crucial for policy-making and can contribute to strengthening democracies and decision-making. Public participation can help to address sustainability challenges and plays a key role in attaining the Sustainable Development Goals (SDGs). While the SDGs are policy concepts, there has been limited research conducted on how the public perceives the SDGs. Public participation in scientific research has been carried out through citizen science (CS). This paper analyzes the public's perception of the SDGs through CS and how the public can participate in their implementation. The paper uses the OSDG community platform, a citizen science platform with >2000 participants, to analyze public perception of the SDGs. A set of 40,062 excerpts of text (v2023-01-01), a topic modeling and agreement scores by using CorTexT Manager software, was analyzed. The results show that some SDGs, e.g. health (SDG3) or life below water (SDG14), have higher levels of agreement from the public, whilst for other SDGs the public disagree on their perception, (e.g. zero hunger). The paper shows that issues affecting citizens' daily lives (e.g. in People related goals) tend to have a higher level of agreement among volunteers, while economic issues and directives have greater discrepancies. The results provide an overview of the differences in public perception on the SDGs and their implementation. The misperceptions regarding the SDGs should be reduced to achieve a better implementation, improve public participation, and help policy-making processes.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Public participation is crucial for policy-making and can contribute to strengthening democracies and decision-making. Public participation can help to address sustainability challenges and plays a key role in attaining the Sustainable Development Goals (SDGs). While the SDGs are policy concepts, there has been limited research conducted on how the public perceives the SDGs. Public participation in scientific research has been carried out through citizen science (CS). This paper analyzes the public's perception of the SDGs through CS and how the public can participate in their implementation. The paper uses the OSDG community platform, a citizen science platform with >2000 participants, to analyze public perception of the SDGs. A set of 40,062 excerpts of text (v2023-01-01), a topic modeling and agreement scores by using CorTexT Manager software, was analyzed. The results show that some SDGs, e.g. health (SDG3) or life below water (SDG14), have higher levels of agreement from the public, whilst for other SDGs the public disagree on their perception, (e.g. zero hunger). The paper shows that issues affecting citizens' daily lives (e.g. in People related goals) tend to have a higher level of agreement among volunteers, while economic issues and directives have greater discrepancies. The results provide an overview of the differences in public perception on the SDGs and their implementation. The misperceptions regarding the SDGs should be reduced to achieve a better implementation, improve public participation, and help policy-making processes.
2023
Journal Articles
6.
Bautista-Puig, Nuria; Statulevičiūtė, Gustė; Stančiauskas, Vilius; Dikmener, Gokhan; Akylbekova, Dina
Osdg Community Dataset: Unraveling the Societal Perceptions Around the Sustainable Development Goals Journal Article Forthcoming
In: Other Environmental Science Research eJournal, Forthcoming.
BibTeX | Links:
@article{Bautista-Puig2023b,
title = {Osdg Community Dataset: Unraveling the Societal Perceptions Around the Sustainable Development Goals},
author = {Nuria Bautista-Puig and Gustė Statulevičiūtė and Vilius Stančiauskas and Gokhan Dikmener and Dina Akylbekova},
url = {https://ssrn.com/abstract=4514364
https://papers.ssrn.com/sol3/Delivery.cfm/0e3073af-80e7-4edd-b1bd-1190c8df4fb5-MECA.pdf?abstractid=4514364&mirid=1},
doi = {/10.2139/ssrn.4514364 },
year = {2023},
date = {2023-07-18},
journal = {Other Environmental Science Research eJournal},
keywords = {},
pubstate = {forthcoming},
tppubtype = {article}
}
7.
Hossain, Saddam; Batcha, M. Sadik
Global Research Trends in Sustainable Development Goals between 2000 and 2021 Journal Article
In: Indian Journal of Natural Sciences, vol. 13, iss. 76, 2023, ISSN: 0976 – 0997.
@article{Hossain2023,
title = {Global Research Trends in Sustainable Development Goals between 2000 and 2021},
author = {Saddam Hossain and M. Sadik Batcha},
url = {https://www.researchgate.net/profile/Saddam-Hossain-5/publication/369009269_Global_Research_Trends_in_Sustainable_Development_Goals_between_2000_and_2021/links/6403651a574950594563f92b/Global-Research-Trends-in-Sustainable-Development-Goals-between-2000-and-2021.pdf
https://tnsroindia.org.in/JOURNAL/issue76/ISSUE%2076%20FEBRUARY%202023%20-%20FULL%20TEXT%20PART%20%2002.pdf},
issn = {0976 – 0997},
year = {2023},
date = {2023-01-06},
journal = {Indian Journal of Natural Sciences},
volume = {13},
issue = {76},
abstract = {This present study explored how research themes and trends have developed in the field of sustainable development goals (SDGs) research, aiming to provide a comprehensive understanding of SDGs literature based on prior literature. A scientometric analysis will help current and future researchers figure out where the gaps are and how to fill them. The current study applied a bibliometric method, to identify yearly output, country collaboration, prolific authors, and contingency matrix between the keywords and journals themes and trends in the SDGs research. Publications related to the application of bibliometrics from 2000 to 2021were harvested from the Web of Science bibliographic database. A number of 21441 academic articles were found, and all bibliographic data were analyzed by the Bibliometrix and Cortext Manager. The trend in the production of research was positive. This study offers a clear picture of the development of SDGs research as well as helpful recommendations for future SDGs research.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This present study explored how research themes and trends have developed in the field of sustainable development goals (SDGs) research, aiming to provide a comprehensive understanding of SDGs literature based on prior literature. A scientometric analysis will help current and future researchers figure out where the gaps are and how to fill them. The current study applied a bibliometric method, to identify yearly output, country collaboration, prolific authors, and contingency matrix between the keywords and journals themes and trends in the SDGs research. Publications related to the application of bibliometrics from 2000 to 2021were harvested from the Web of Science bibliographic database. A number of 21441 academic articles were found, and all bibliographic data were analyzed by the Bibliometrix and Cortext Manager. The trend in the production of research was positive. This study offers a clear picture of the development of SDGs research as well as helpful recommendations for future SDGs research.
2022
Journal Articles
8.
Kashnitsky, Yury; Roberge, Guillaume; Mu, Jingwen; Kang, Kevin; Wang, Weiwei; Vanderfeesten, Maurice; Rivest, Maxim; Keßler, Lennart; Jaworek, Robert; Vignes, Maéva; Jayabalasingham, Bamini; Boonen, Finne; James, Chris; Doornenbal, Marius; Labrosse, Isabelle
Identifying research supporting the United Nations Sustainable Development Goals Journal Article
In: 2022, (This work is partly an outcome of SDG Research Mapping Initiative6 that Elsevier initiated with the Aurora European Universities Alliance, the University of Auckland, and the University of Southern Denmark. We are also grateful to Scopus for providing data for the analysis.).
@article{nokey,
title = {Identifying research supporting the United Nations Sustainable Development Goals},
author = {Yury Kashnitsky and Guillaume Roberge and Jingwen Mu and Kevin Kang and Weiwei Wang and Maurice Vanderfeesten and Maxim Rivest and Lennart Keßler and Robert Jaworek and Maéva Vignes and Bamini Jayabalasingham and Finne Boonen and Chris James and Marius Doornenbal and Isabelle Labrosse},
url = {https://arxiv.org/abs/2209.07285},
doi = {10.48550/ARXIV.2209.07285},
year = {2022},
date = {2022-09-15},
urldate = {2022-09-15},
publisher = {arXiv},
abstract = {The United Nations (UN) Sustainable Development Goals (SDGs) challenge the global community to build a world where no one is left behind. Recognizing that research plays a fundamental part in supporting these goals, attempts have been made to classify research publications according to their relevance in supporting each of the UN's SDGs. In this paper, we outline the methodology that we followed when mapping research articles to SDGs and which is adopted by Times Higher Education in their Social Impact rankings. We also discuss various aspects in which the methodology can be improved and generalized to other types of content apart from research articles. The results presented in this paper are the outcome of the SDG Research Mapping Initiative that was established as a partnership between the University of Southern Denmark, the Aurora European Universities Alliance (represented by Vrije Universiteit Amsterdam), the University of Auckland, and Elsevier to bring together broad expertise and share best practices on identifying research contributions to UN's Sustainable Development Goals. },
note = {This work is partly an outcome of SDG Research Mapping Initiative6 that Elsevier initiated with the Aurora European
Universities Alliance, the University of Auckland, and the University of Southern Denmark. We are also grateful to
Scopus for providing data for the analysis.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The United Nations (UN) Sustainable Development Goals (SDGs) challenge the global community to build a world where no one is left behind. Recognizing that research plays a fundamental part in supporting these goals, attempts have been made to classify research publications according to their relevance in supporting each of the UN's SDGs. In this paper, we outline the methodology that we followed when mapping research articles to SDGs and which is adopted by Times Higher Education in their Social Impact rankings. We also discuss various aspects in which the methodology can be improved and generalized to other types of content apart from research articles. The results presented in this paper are the outcome of the SDG Research Mapping Initiative that was established as a partnership between the University of Southern Denmark, the Aurora European Universities Alliance (represented by Vrije Universiteit Amsterdam), the University of Auckland, and Elsevier to bring together broad expertise and share best practices on identifying research contributions to UN's Sustainable Development Goals.
Book Chapters
9.
Loconto, Allison
Gouverner par les métriques : un exercice dans l'intermédiation des connaissances Book Chapter
In: Sciences, techniques et agricultures : gouverner pour transformer, 2022, ISBN: 978-2-35671-845-7.
@inbook{Loconto2022,
title = {Gouverner par les métriques : un exercice dans l'intermédiation des connaissances },
author = {Allison Loconto },
url = {https://hal.inrae.fr/hal-03674025},
isbn = {978-2-35671-845-7},
year = {2022},
date = {2022-09-01},
urldate = {2022-09-01},
booktitle = {Sciences, techniques et agricultures : gouverner pour transformer},
abstract = {The Food and Agriculture Organisation of the United Nations (FAO) plays a dual role in the governance of global food security, as both an arena for policy debate and as a 'universal' knowledge institution. FAO defines itself as a 'neutral knowledge broker'. One of the instruments used to achieve this is the annual flagship publication: The State of Food Security and Nutrition in the World (SOFI). It is the global reference report on developments in the fight against hunger and tracks progress made towards the achievement of the goal of food and nutrition security. The 2017 SOFI Report marks an important turning point in the history of food security reporting. On the one hand, it observed that the decline in the Prevalence of Undernourishment (PoU), observed over the previous 10 years, had probably been reversed. On the other hand, it introduced new metrics that would enable FAO reporting to also report on progress towards the Sustainable Development Goals (SDGs). An important change is that it proposed a subjective measure of food insecurity, the Food Insecurity Experience Scale (FIES), whereas, until then, the PoU proposed an "objective" measure based on a balance between availability and estimated needs. Based on a lexical analysis of SOFI reports and an ethnography within the FAO, the objective of this chapter is to shed light on the relationship between quantification techniques and global policies. By developing the concept of knowledge intermediation and its infrastructures, an original reflection is presented about how governance through metrics can affect our ways of knowing about food security. },
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
The Food and Agriculture Organisation of the United Nations (FAO) plays a dual role in the governance of global food security, as both an arena for policy debate and as a 'universal' knowledge institution. FAO defines itself as a 'neutral knowledge broker'. One of the instruments used to achieve this is the annual flagship publication: The State of Food Security and Nutrition in the World (SOFI). It is the global reference report on developments in the fight against hunger and tracks progress made towards the achievement of the goal of food and nutrition security. The 2017 SOFI Report marks an important turning point in the history of food security reporting. On the one hand, it observed that the decline in the Prevalence of Undernourishment (PoU), observed over the previous 10 years, had probably been reversed. On the other hand, it introduced new metrics that would enable FAO reporting to also report on progress towards the Sustainable Development Goals (SDGs). An important change is that it proposed a subjective measure of food insecurity, the Food Insecurity Experience Scale (FIES), whereas, until then, the PoU proposed an "objective" measure based on a balance between availability and estimated needs. Based on a lexical analysis of SOFI reports and an ethnography within the FAO, the objective of this chapter is to shed light on the relationship between quantification techniques and global policies. By developing the concept of knowledge intermediation and its infrastructures, an original reflection is presented about how governance through metrics can affect our ways of knowing about food security.
2021
Journal Articles
10.
Bordignon, Frederique
Dataset of search queries to map scientific publications to the UN sustainable development goals Journal Article
In: Data in Brief, vol. 34, pp. 106731, 2021, ISSN: 2352-3409.
@article{Bordignon2021,
title = {Dataset of search queries to map scientific publications to the UN sustainable development goals},
author = {Frederique Bordignon},
url = {http://www.sciencedirect.com/science/article/pii/S2352340921000172},
doi = {https://doi.org/10.1016/j.dib.2021.106731},
issn = {2352-3409},
year = {2021},
date = {2021-02-01},
urldate = {2021-02-01},
journal = {Data in Brief},
volume = {34},
pages = {106731},
abstract = {The dataset includes search queries that can be used to identify scientific publications related to the United Nations Sustainable Development Goals (SDGs). We propose a new approach to mitigate the polysemy of terms as much as possible by targeting the most relevant subject areas for each SDG. In addition, we also used a text-mining tool to identify as many relevant phrases as possible. Publications identified through this process cannot be considered as evidence of the commitment of authors and their institutions to actions towards the targets established by the UN. However, they can be an accurate indicator of which research is relevant to the issues addressed by the SDGs, whether or not it is a direct contribution.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The dataset includes search queries that can be used to identify scientific publications related to the United Nations Sustainable Development Goals (SDGs). We propose a new approach to mitigate the polysemy of terms as much as possible by targeting the most relevant subject areas for each SDG. In addition, we also used a text-mining tool to identify as many relevant phrases as possible. Publications identified through this process cannot be considered as evidence of the commitment of authors and their institutions to actions towards the targets established by the UN. However, they can be an accurate indicator of which research is relevant to the issues addressed by the SDGs, whether or not it is a direct contribution.
2020
Journal Articles
11.
Marvuglia, Antonino; Havinga, Lisanne; Heidrich, Oliver; Fonseca, Jimeno; Gaitanie, Niki; Reckien, Diana
Advances and challenges in assessing urban sustainability: an advanced bibliometric review Journal Article
In: Renewable and Sustainable Energy Reviews, 2020.
@article{Marvuglia2020,
title = {Advances and challenges in assessing urban sustainability: an advanced bibliometric review},
author = {Antonino Marvuglia and Lisanne Havinga and Oliver Heidrich and Jimeno Fonseca and Niki Gaitanie and Diana Reckien},
doi = {https://doi.org/10.1016/j.rser.2020.109788},
year = {2020},
date = {2020-03-06},
urldate = {2020-03-06},
journal = {Renewable and Sustainable Energy Reviews},
abstract = {With nearly 70% of the world population expected to live in cities by 2050, assessing the sustainability of urban systems, both existing and future ones, is becoming increasingly relevant. Making cities more sustainable is a global priority, which is highlighted by ‘Sustainable Cities and Communities’ being listed as one of the Sustainable Development Goals (SDG) adopted by United Nations Member States in 2015. This Virtual Special Issue (VSI) explores the implementation and assessment of policies and technologies that contribute to the transition to a sustainable, energy efficient and regenerative society. We organized the issue according to four main research themes: 1) Renewable Energy Systems (i.e., different types of systems, qualitative assessments and public acceptance); 2) Sustainable Built Environment (which includes construction, operation and refurbishment); 3) Multi-Scale Models (considering urban sustainability transition from building to districts, or cities and regions to multi-country comparisons and their scaling across different countries); and 4) Governance and Policy (climate change mitigation and adaptation plans/policies that are reported across countries, urban services and infrastructures).
This paper serves two purposes. The first is to provide an analysis about patterns, correlations and synergies found across the different topics that have been addressed over the last 20 years in the literature about cities’ sustainability paths. A bibliometric analysis and a contingency matrix show the degree of correlation between scientific journals and main topics addressed by published articles. Secondly, the paper acts as an Editorial to the VSI, introducing the wealth of research articles and topics included in it. Both the bibliometric analysis and the papers published in this VSI demonstrate the interconnectedness of energy consumption, pollutant emissions and the competition for finite resources. The aim is to present advances and challenges of this exciting and ever-evolving research field to inform and guide future studies of urban sustainability.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
With nearly 70% of the world population expected to live in cities by 2050, assessing the sustainability of urban systems, both existing and future ones, is becoming increasingly relevant. Making cities more sustainable is a global priority, which is highlighted by ‘Sustainable Cities and Communities’ being listed as one of the Sustainable Development Goals (SDG) adopted by United Nations Member States in 2015. This Virtual Special Issue (VSI) explores the implementation and assessment of policies and technologies that contribute to the transition to a sustainable, energy efficient and regenerative society. We organized the issue according to four main research themes: 1) Renewable Energy Systems (i.e., different types of systems, qualitative assessments and public acceptance); 2) Sustainable Built Environment (which includes construction, operation and refurbishment); 3) Multi-Scale Models (considering urban sustainability transition from building to districts, or cities and regions to multi-country comparisons and their scaling across different countries); and 4) Governance and Policy (climate change mitigation and adaptation plans/policies that are reported across countries, urban services and infrastructures).
This paper serves two purposes. The first is to provide an analysis about patterns, correlations and synergies found across the different topics that have been addressed over the last 20 years in the literature about cities’ sustainability paths. A bibliometric analysis and a contingency matrix show the degree of correlation between scientific journals and main topics addressed by published articles. Secondly, the paper acts as an Editorial to the VSI, introducing the wealth of research articles and topics included in it. Both the bibliometric analysis and the papers published in this VSI demonstrate the interconnectedness of energy consumption, pollutant emissions and the competition for finite resources. The aim is to present advances and challenges of this exciting and ever-evolving research field to inform and guide future studies of urban sustainability.
This paper serves two purposes. The first is to provide an analysis about patterns, correlations and synergies found across the different topics that have been addressed over the last 20 years in the literature about cities’ sustainability paths. A bibliometric analysis and a contingency matrix show the degree of correlation between scientific journals and main topics addressed by published articles. Secondly, the paper acts as an Editorial to the VSI, introducing the wealth of research articles and topics included in it. Both the bibliometric analysis and the papers published in this VSI demonstrate the interconnectedness of energy consumption, pollutant emissions and the competition for finite resources. The aim is to present advances and challenges of this exciting and ever-evolving research field to inform and guide future studies of urban sustainability.
Miscellaneous
12.
Vanderfeesten, Maurice; Spielberg, Eike; Hasse, Linda
Text Analyses of Survey Data on "Mapping Research Output to the Sustainable Development Goals(SDGs)" Miscellaneous
2020, (Sustainable Development Goals SDG Classification model Search Queries SCOPUS Text indexingControlled vocabulary).
@misc{Vanderfeesten2020,
title = {Text Analyses of Survey Data on "Mapping Research Output to the Sustainable Development Goals(SDGs)"},
author = {Maurice Vanderfeesten and Eike Spielberg and Linda Hasse},
url = {https://doi.org/10.5281/zenodo.3832090},
doi = {10.5281/zenodo.3832090},
year = {2020},
date = {2020-05-01},
abstract = {This package contains data on five text analysis types (term extraction, contract analysis, topic modeling, network mapping), based on the survey data where researchers selected research output that are related to the 17 Sustainable Development Goals (SDGs). This is used as input to improve the current SDG classification model v4.0 to v5.0
Sustainable Development Goals are the 17 global challenges set by the United Nations. Within each of the goals specific targets and indicators are mentioned to monitor the progress of reaching those goals by 2030. In an effort to capture how research is contributing to move the needle on those challenges, we earlier have made an initial classification model than enables to quickly identify what research output is related to what SDG. (This Aurora SDG dashboard is the initial outcome as proof of practice.)
The initiative started from the Aurora Universities Network in 2017, in the working group "Societal Impact and Relevance of Research", to investigate and to make visible 1. what research is done that are relevant to topics or challenges that live in society (for the proof of practice this has been scoped down to the SDGs), and 2. what the effect or impact is of implementing those research outcomes to those societal challenges (this also have been scoped down to research output being cited in policy documents from national and local governments an NGO's).},
note = {Sustainable Development Goals SDG Classification model Search Queries SCOPUS Text indexingControlled vocabulary},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
This package contains data on five text analysis types (term extraction, contract analysis, topic modeling, network mapping), based on the survey data where researchers selected research output that are related to the 17 Sustainable Development Goals (SDGs). This is used as input to improve the current SDG classification model v4.0 to v5.0
Sustainable Development Goals are the 17 global challenges set by the United Nations. Within each of the goals specific targets and indicators are mentioned to monitor the progress of reaching those goals by 2030. In an effort to capture how research is contributing to move the needle on those challenges, we earlier have made an initial classification model than enables to quickly identify what research output is related to what SDG. (This Aurora SDG dashboard is the initial outcome as proof of practice.)
The initiative started from the Aurora Universities Network in 2017, in the working group "Societal Impact and Relevance of Research", to investigate and to make visible 1. what research is done that are relevant to topics or challenges that live in society (for the proof of practice this has been scoped down to the SDGs), and 2. what the effect or impact is of implementing those research outcomes to those societal challenges (this also have been scoped down to research output being cited in policy documents from national and local governments an NGO's).
Sustainable Development Goals are the 17 global challenges set by the United Nations. Within each of the goals specific targets and indicators are mentioned to monitor the progress of reaching those goals by 2030. In an effort to capture how research is contributing to move the needle on those challenges, we earlier have made an initial classification model than enables to quickly identify what research output is related to what SDG. (This Aurora SDG dashboard is the initial outcome as proof of practice.)
The initiative started from the Aurora Universities Network in 2017, in the working group "Societal Impact and Relevance of Research", to investigate and to make visible 1. what research is done that are relevant to topics or challenges that live in society (for the proof of practice this has been scoped down to the SDGs), and 2. what the effect or impact is of implementing those research outcomes to those societal challenges (this also have been scoped down to research output being cited in policy documents from national and local governments an NGO's).
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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