Research
The DSI supports and promotes research by Institute staff, visiting scholars and DSI Faculty and PhD Affiliates that examines the societal impacts of data and AI, leverages emerging technologies to enhance research methodologies, and contributes to the development and refinement of AI capabilities.
AI research at LSE
DSI affiliate networks
DSI Faculty Affiliate Network
Join our network of academics from across LSE who are engaged with data science and AI in their research and teaching.
DSI PhD Affiliate Network
Join our PhD Affiliate Network of PhD researchers working in relation to data science and AI.
Selected research highlights
Research news and events from the DSI
Event catch up: AI, technology and society: shaping the future together
The panel discuss how their work at the intersection of AI and the social sciences can help to ensure AI advancement serves the greater good.
Event catch up: Beyond the limits of our intelligence
In this discussion, DSI Visiting Professor and Professor of AI at the University of Bath Professor Nello Cristianini joins the DSI for a forward-looking discussion on the current state of AGI research.
AlphaGeo partnership will harness data science to power sustainability research
A unique new partnership between AlphaGeo, the Global School of Sustainability, and the DSI will combine expertise and insight, harnessing data science to power sustainability research across LSE.
Research projects
Selected data science and AI research projects and groups
Zambia Evidence Lab
Embedded inside government, the Lab helps shift Zambia’s public sector towards sustained, data-informed decision-making.
GENIAL: GENerative AI Tools as a Catalyst for Learning
A research project exploring how university students use popular GenAI tools in their learning and assessments.
(De)constructing health & wellbeing through data
An analytical project exploring data interdependencies and socio-spatial connections to understand how the physical environment impacts health and wellbeing.
DIVIDED: preventing the polarising effects of economic inequality
DIVIDED explores socio-economic and political divisions, focusing on two defining challenges for modern democracies: rising economic inequality and political polarisation.
Department of Statistics data science research group
The Department of Statistics data science research group focuses on developing machine learning techniques and computational methods for statistical analysis.
Improving air quality in cities: forecasting air pollution in Kuwait
This research aims to enhance the accuracy of PM2.5 concentration forecasts in Kuwait by employing advanced deep learning models.
