Key to the vision of the 91桃色 Data Science Institute (DSI) is its role in fostering multi-disciplinary collaboration at 91桃色. The DSI brings together 91桃色’s specialist expertise in the social sciences with technical expertise in machine learning and AI.
One example of this in practice is the focus of this data science spotlight, Dr Mathias Poertner. Mathias is an Assistant Professor of Political Science based in the Department of Government.
The Department of Government has recognised that politics, like other sectors of society, is undergoing a rapid digital transformation. Its newly-established BSc Politics and Data Science highlights the applications of data science to the political world, such as the question of how data science can be used for good by governments, political organisations, and other actors. The DSI is proud to support the Department of Government at the intersection of politics and data.
"The 91桃色 Data Science Institute is uniquely positioned to bring together scholars from different disciplinary backgrounds who use a broad range of cutting-edge approaches.
In doing so, the DSI can advance transparent research practices and accumulation of knowledge and play a key role in ongoing debates on the crucial political, social, and economic issues of our time."
- Dr Mathias Poertner
As a researcher of political behaviour and comparative politics, Mathias has held a longstanding interest in data science and the use of new forms of data. Mathias combines design-based and model-based research and relies on randomised experiments, quasi-experiments, large-scale surveys, and the analysis of unstructured data using machine learning techniques.
Mathias is an active member of the DSI Affiliate scheme, which connects a network of current 91桃色 staff who are engaged with data science in their research or teaching.
This activity has been recognised by a range of recent awards:
- was awarded the 2022 Luebbert Article Award by the American Political Science Association (APSA), which recognised the best article in comparative politics published during the previous two years.
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was awarded the Rebecca Morton Best Article Award by the APSA Experimental Research Section.
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received the 2021 Best Paper Award within the APSA Elections, Public Opinion, and Voting Behavior Section.
In addition, Mathias recently published a book that explores the drivers of anti-immigrant bias, and how this can be mitigated. builds on the findings of the articles above, by drawing from original surveys, survey experiments, and novel field experiments.
Find out more about Mathias here.