Shouro Dasgupta is currently a Researcher at Fondazione CMCC and a Lecturer at Università Ca’ Foscari Venezia. His research contributes to advancing knowledge on socioeconomic impacts of climate change, identifying hotspots and vulnerable populations, and supporting the design of tailored policies to mitigate and adapt to climate impacts. Shouro teaches courses on Statistics, Economics, and Econometrics courses at Università Ca’ Foscari Venezia. He is a co-author of the Lancet Countdown, which addresses climate change impacts, exposures, and vulnerability. Shouro leads the labour impacts sector of Inter-Sectoral Impact Model Inter-comparison Project (ISIMIP) and a taskgroup on adaptation in labour impacts for PROCLIAS COST Action.
Originally from Bangladesh, Shouro holds a PhD in Science and Management of Climate Change from Università Ca’ Foscari Venezia and an MA in Economics from the University of New Hampshire. He has previously worked for Fondazione Eni Enrico Mattei and the International Finance Corporation.
- Climate change impacts on labour, food security, health, and inequality
- Socioeconomic vulnerability
- Adaptation in climate impacts on labour
- Socioeconomic impacts of COVID-19 pandemic
Research - 2022
This paper assesses the feasibility and robustness of an index-based insurance scheme against hydrological droughts under climate change. Read more
The authors of this paper develop a structural model to study the long-term impacts of climate and socioeconomic changes on labour supply and the pay gap between male/female and high-skilled/low-skilled labour. Read more
This research in practice article is a reflective narrative documenting how we have developed CCIEVIs as a discrete set of quantifiable indicators that are updated annually to provide the most recent picture of climate change’s impacts on human health. Read more
The authors of this paper investigate the extent to which current changes in food insecurity can be plausibly attributed to climate change. They combine food insecurity data for 83 countries from the FAO food insecurity experience scale (FIES) with reanalysed climate data from ERA5-Land, and use a panel data regression with time-varying coefficients. Read more
This is the first paper to track food insecurity and its determinants during the pandemic using multi-country and multi-wave evidence. Read more