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A short presentation
The DATALAB is a collaborative (draft) project that is intended to uncover reachable and relevant data in different fields and various institutional contexts, helping students to develop their postgraduate projects like Master's thesis or Master's research/data analyst internships. Facilitating data exploration, analysis and visualization, the DATALAB constitutes an original space for students who consider the embeddedness of economic life (behaviours, actions, outcomes) in social, institutionnal and political structures, organizations, networks or communities. |
Using available data resources, the DATALAB is dedicated to apply plural economics approaches in order to provide original empirical evidences in divers contexts (particularly in Emerging and Developing countries, but not only), answering to socio-economics, institutional and political economy complex issues.
The DATALAB is an open-lab and cooperative space for anyone in social sciences working on dataset. |
DATALAB Team
Thibaud Deguilhem |
He is conomist at Université de Paris, researcher at UMR Ladyss (Laboratory for Social Dynamics and Recomposition of Spaces) and member of the Global Research Institute of Paris.His work focuses on the relational embeddedness of individuals, communities and organizations, mainly in emerging and developing countries. At the intersection of socioeconomics, development economics and political economy, he is particularly interested in labour market institutions, the relationships between interpersonal networks and the variety of job quality, the relational mechanisms of resilience for vulnerable households and the social construction of social policies. His research is based on quantitative or qualitative data, from first-hand surveys preferably, and adopts mixed methods combining social network analysis, applied econometrics and quantified stories. |
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Research Assistant (interns)
The DATALAB has open positions for Development Studies, Socio-Economics and Applied Economics interns at Université de Paris (France). We are offering some paid internships for 2 or 3 months. Candidates who have the aspiration to work in a highly-dynamic research environment are particularly valued. After a first or second year of a Master's degree, the DATALAB gives to our selected students an impressive opportunity for gaining solid professional and research experience, participating in international projects/teams and reinforcing their quantitative skills. |
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Expected qualifications and skills
- Solid social sciences background - High reliable track record in statistical methods - Knowledge in predictive and causal models (e.g., DiD, PSM) - Excellent knowledge in statistical software R or STATA - Great rigor and ability to work in team |
How to apply?
Please send your application in pdf format (e.g., detailing how your background fits this post) with the subject line “DATALAB Internship NAME” to thibaud.deguilhem[at]u-paris.fr at your earliest convenience (cc. datalab.up[at]gmail.com). |
Your application material will be used solely for the purpose of selecting internship candidates and will be deleted as soon as the selection is complete.
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ICT and small/micro businesses in Developing Countries
2021-2023 |
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[P1] COVID-19, ICT PRACTICES & INFORMAL SMALL/MICRO-ENTERPRISES IN SENEGAL
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In West Africa, if the health impact of the COVid-19 pandemic seems to be ultimately less alarming than the first studies predicted in March 2020 (Martinez-Alvarez et al., 2020), the socio-economic consequences still remain very uncertain. Beyond huge health implications, the economic and social consequences linked to the slowdown in the world economy and the various emergency policies implemented to protect populations (lockdown, closure of borders...) are already visible. In this context, analysing the resilience of informal micro-businesses has become a key issue for African societies and the economic development of the region. Particularly in Senegal, informal micro-entreneurs (IME) are financially and economically more vulnerable than large firms but they represent 97% of the domestic productive units and more than 70% of the national employment in 2013. Despite of their diversity, one of the principal vectors of the IME resilience facing shocks is the link to the social environment and the mobile or smartphone practices contributing to reach dierent resources crucial for informal people. However, facing a large covariant shock as the COVid-19 pandemia, the effect of digital devices on IME resilience still unclear. How do these Senegalese IME act and organize themselves in a crisis situation? How do digital devices (mobile/smartphone) play in these strategies? What digital uses have been adopted/abandoned in this context ? By whom? How have they been implemented? The empirical approach would be mainly based on original longitudinal data (3 waves between 2017 and 2021) collected in Dakar on a sample of Senegalese IME.
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References
Berrou, J-P. and Eekhout, T. (2019). Informal businesses and digital technology in Sub-Saharan Africa Uses and Value, A newsletter about research in economic and social sciences - Orange Labs. Berrou, J-P., Combarnous, F., Eekhout, T. and Mellet, K. (2020). My mobile, my market : The uses of mobile phones and economic performance in the informal sector in Dakar, Réseaux, 219(1) : 105-142. Zhenwei Qiang, C. and Kuo, R. (2020). Supporting informal businesses amid COVID-19 without formalization, World Bank Blog: online |
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Revisiting homelessness in Latin America
2021-2023 |
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[P2] PROFILES AND DETERMINANTS OF HOMELESSNESS IN COLOMBIA
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The dominant discourses ignore, distort or diminish the homeless people and few works contribute to a better understanding of this "omitted social fact" in Latin America. Two elements are particularly missing. On the one, homeless people are strongly heterogeneous in terms of origins, practices, resources and resilience strategies (Lee et al., 2010). on the other hand, numerous social, institutional and individual determinants of homelessness, challenging a clear causal identification (Jarvis, 2015 ; Bramley, 2018). Revising socio-economic litterature and using the original Colombian homelessness Census (crossectional data from 2019 to 2021), how to seize a clear panorama of homelessness in Colombia? Beyond the complexity, what are the different categories of these extremly vulnerable people? What are the determinants of homelessness ? What are public policy implications?
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References
Bramley, B. and Fitzpatrick, S. (2018). Homelessness in the UK: who is most at risk? Housing Studies, 33(1) : 96-116. Jarvis, J. (2015). Individual determinants of homelessness : A descriptive approach, Journal of Housing Economics, 30 : 23-32. Lee, B. A., Tyler, K. A. and Wright, J. D. (2010). The New Homelessness Revisited, Annual Review of Sociology, 36 : 501-521. |
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How to use datasets for your project?
Each dataset on this page is free. To download specific microdata, we need an explicit request before sending you an active link. |
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