CorTexT platform

@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},
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}
}

@article{Cardon2020,
title = {Bounded Futures: Growing a Boundary Foreknowledge Infrastructure in Food Security Research},
author = {Vincent Cardon},
doi = {10.1177/0971721819889918},
year = {2020},
date = {2020-03-03},
journal = {Science, Technology and Society},
volume = {25},
number = {1},
pages = {38-66},
abstract = {One preferred way of coping with the openness or indeterminacy of future is to elaborate ‘fictional expectations’ that enable action by defining possible outcomes. In this article, I propose to focus on the career of the impact foresight model to analyse how agro-economists combine imaginaries, narratives, data and calculative technologies addressing the long-term future of agriculture. Impact is a partial equilibrium model, which has become increasingly comprehensive. Its modular structure now enables it to interweave scenarios produced by other legitimate institutions, and to run simulations for a number of configurations of climate change and socio-economic evolutions.In this article, foresight models are taken to be material discursive devices. My argument is that their evolutions as technologies and the framing of the future they operate should not be analysed separately. Transforming radical uncertainty into controlled variability – magnitude of change, they explicitly endeavour to ‘bound’ uncertainty. But it is ‘bounded’ in a way that is highly dependent on the knowledge infrastructure upon which the models rely. Quantified modelling also makes it possible for economists to compare rival models and create alignments or negotiate zones of consensus, that is, a certain form of knowledge on the future. In the case under scrutiny, technological choices and data processing work contribute to reinforce a certain point of view – market, production and technology-oriented – on food security. Studying infrastructure and model design therefore allows a better understanding of path dependency and cognitive lock-in effects regarding the way the future is envisaged and narrated.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{Louvel2020,
title = {What’s in a name? The three genealogies of the social insocial epigenetics},
author = {Séverine Louvel},
editor = {SAGE Publications},
doi = {https://doi.org/10.1177/0539018419897001},
year = {2020},
date = {2020-01-22},
journal = {Social Science Information},
abstract = {Social epigenetics – the study of the epigenetic mechanisms through which social environments become biologically embodied – epitomizes recent claims that the boundaries between the natural and the social sciences should be reduced. Relying on a bibliometric study and on a qualitative analysis of publications in social epigenetics, this paper investigates how this research area defines and operationalizes the social dimensions that may have an impact on health status and disease risk. The paper also addresses how the social sciences engage with social epigenetics. First, the paper traces social epigenetics back to five epistemic backgrounds – two in animal research (on social defeat and early-life adversity) and three in human studies (on trauma, early-life nutrition and social adversity over the life-course). Second, it outlines the quest for epigenetic markers of social environments, and the associated expectations and controversies. Third, it analyses the three modes of engagement of the social sciences with human studies in social epigenetics: rejection (social epigenetics trapped in the quest for a ‘social brain’); warning and call for responsibility (social epigenetics has shifted from socioeconomic contexts to individual behaviors); and support and active contribution (social epigenetics may strengthen social studies of health). This paper argues that recent developments in social epigenetics could strengthen this third mode of engagement and expand the scope of interdisciplinary collaboration between the natural and the social sciences.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{Gauld2019,
title = {Mining big data about representations of autism spectrum disorder : a comparison from Twitter to PubMed, a TwiMed proof-of-concept},
author = {Gauld, Christophe},
url = {https://www.researchgate.net/publication/337289960_Mining_big_data_about_representations_of_autism_spectrum_disorder_a_comparison_from_Twitter_to_PubMed_a_TwiMed_proof-of-concept},
doi = {10.13140/RG.2.2.20575.61604},
year = {2019},
date = {2019-11-15},
abstract = {Aim: Twitter is the most commonly used social media forum in public health and is considered the radio of the internet. Many health providers utilize this media to disseminate health information. Patient use of social media for mental health topics encourages providers to disseminate quality information and to develop virtual collaborative learning environments. Such social media could also be seen as a reflection of a trend towards folk psychology. This study explored trends in health information exchanged by users of Twitter, a broad social media, through analyses of tweets about Autism Spectrum Disorder (ASD). This proxy of trends in folk psychology could be compared semantically with the corpus derived from biomedical research. Methods: At first, we conducted a text-mining analysis with a sample of 10,000 tweets posted using #autism, by a text-mining method. We built a network of words in order to extract the main dimensions about these data (Latent Dirichlet Analysis). Second, we performed a geocoding analysis to create a Twitter maps of social media tweet and checked the regularity of tweets in the short and medium term. In parallel, we performed a text-mining analysis using the platform PubMed with the term « autis* », and we built networks of words. For each of them, we extracted the main dimensions from the terms. Results: We were able to retrieve 121,556 terms related to the term #autism. Most tweets focus on five dimensions: (1) Education, (2) Childhood, (3) Environment/Relatives, (4) Techniques/Sciences and (5) Support. Concerning the most researched topics in the biomedical research, on 49,021 publications, we found four dimensions: (I) Clinical/Neuropsychology/Psychometry, (II) Behavioral/Language aspects, (III) Neuroscience/Neurogenetics/Neuropharmacology, (IV) Comorbidities. Conclusion: Results suggest thematics about ASD disseminated between a social media and a biomedical database are really different. Health providers are encouraged to establish a presence on social media to learn about representations, share scholarly work or just exchange information with patients and relatives concerned by ASD.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}