معرفی
Christine Sheldon is a Research Fellow in Computational Social Science at the University of Birmingham's School of Government, affiliated with the Centre for Artificial Intelligence in Governance. She holds a PhD in Politics (2024, University of Oxford), MPhil in European Politics (2020, Oxford), and BA in Politics and Sociology (2015, Erasmus University College Rotterdam). Her work focuses on AI's role in democratic processes, including reducing bias in constituency services and simulating political negotiations using LLM-based digital twins. She previously taught graduate courses on data science in social sciences at Oxford.
- Affiliations: Centre for AI in Government (CAIG), School of Government, University of Birmingham
- Key Projects: Analysis of polarization in political communication via 250k citizen queries, bias in AI-generated policy responses, and EU parliamentary negotiation simulations using Multi-Agent Systems
Her research on coalition governance introduced a novel measure of 'coalition differentiation' across 10 European countries, revealing strategic party behavior to influence policy outcomes. She contributes to the Inter-Parliamentary Union’s Global Parliamentary Report and co-develops scalable governance analysis frameworks combining computational methods with policymaking.
- Awards: International Strategy Forum Fellowship (2025)
- Grants/Funding: Unspecified but implied through CAIG's institutional projects
Labs/Teams: Active member of the Centre for AI in Governance, collaborating on EU policy simulations and LLM-driven governance tools.
