Date: 30 November 2023
Time: 11:45 - 16:45
Place: University of Liverpool Management School - Atrium (ground floor)
The event
Hosted by the Liverpool Advanced Methods for Big Data Analytics (LAMBDA) Research Cluster, the workshop will explore the impact of Data Science and AI technologies on social sciences, such as Finance, Economics, Marketing, etc.
Academics, students, business leaders and policymakers are welcome to join the event, where they will have the opportunity to discover first-hand insights from industry experts and the latest research on this area.
Agenda
Keynote speakers
- Christophe Mues, Professor of Data Science and Info Systems, Southampton University
- Simon Rudkin, Senior Lecturer in Data Science, Social Statistics, University of Manchester
- Francisco Rowe, Professor in Population Data Science, University of Liverpool School of Environmental Sciences
- Slava Jankin, Chair in Data Science and Government and Director of the Centre for the Centre for Artificial Intelligence in Government (CAIG) at the University of Birmingham
Timetable
| Time | Speaker/Session |
|---|---|
| 11:45-12:30 |
Keynote Speaker: Christophe Mues, Professor of Data Science and Info Systems, Southampton University Deep learning methods in credit scoring: empirical insights into when and how they can add value |
| 12:30-14:00 | Lunch |
| 14:00-14:45 |
Keynote Speaker: Simon Rudkin, Senior Lecturer in Data Science, Social Statistics, University of Manchester Hidden in Plain Sight: The Messages in Social Science Data |
| 14:45-15:30 |
Keynote Speaker: Slava Jankin, Chair in Data Science and Government and Director of the Centre for the Centre for Artificial Intelligence in Government (CAIG) at the University of Birmingham Uncovering Causal Mechanisms in Political Texts: How Natural Language Processing Can Aid Social Science Research |
| 15:30-16:00 |
Coffee Break |
| 16:00-16:45 |
Francisco Rowe: Professor in Population Data Science, University of Liverpool School of Environmental Sciences Unleashing the potential of digital footprint data to understand human mobility: Opportunities, challenges and practice |
| 17:30 |
Dinner |
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