Ritwika Das
Care Policy and Evaluation Centre (CPEC), London School of Economics and Political Science
Ritwika Das
I am an early-career researcher specialising in the application of data science and causal inference methods to examine inequalities. My research leverages computational tools, primarily R and Python, to analyse complex social and economic issues. As part of my work with CPEC, I have contributed to the development of data packages and constructed large-scale datasets to facilitate empirical analysis and support evidence based policy interventions.
FURTHER INFORMATION
| Countries | India; Nepal; Sri Lanka; |
|---|---|
| Topics | Artificial Intelligence; Care in rural and other non-urban settings; Care inequalities; Care justice; Care needs poverty and deprivation; Care work and migration; Data science; LTC and people with learning disabilities; Natural Language Processing; Unpaid / informal care; |
| Methods | Artificial Intelligence; Causal inference in Long-Term Care; Data science and LTC research; Difference-in-differences; Event study; Longitudinal data analysis; Quantitative data analysis; Quasi-experimental methods; Social network analysis; |
| Role | Research; |
| Interest Groups | Data Science; Long-Term Care Policy; Migration Mobility and Care Workers; Quasi-experimental methods; Unmet need inequalities and care poverty (UNICAP); |
| Research interests | My research interests centre on understanding inequalities across developing countries, with a particular focus on health disparities and social care systems. I am especially interested in examining health inequalities in India and analysing the impacts of social care reform within the Indian context. My research interest also extends to surrounding countries in South and Southeast Asia, including China, Bangladesh, Sri Lanka, Nepal and the Philippines. |