CIVICA Research: Collaborative Hackathon on Europe Revisited
4-5 December 2023
Europe Revisited: Mining Political Party Manifestos for Patterns of European Support
CIVICA's thematic priority ‘Europe Revisited’ is interested in how the crises that the EU faces are changing, affecting or reinforcing its founding principles, rules, and narratives. Phenomena such as migratory flows, (dis)integration processes, the green transition, or globalisation lead to multiple societal, political, structural and economic challenges. One of the interesting questions is how these phenomena (and many other crisis that the EU has faced in the past) affect the domestic support for the EU and its future. The hackathon will be focused on these topics.
For data access we will be using the Manifesto Project Database, a dataset of political party platforms manually coded for policy preferences, covering over 1,000 parties from 1945 until today in over 50 countries on five continents.
The Hackathon will open with an introduction to the dataset from Professor Kenneth Benoit of LSE's Data Science Institute. The hackathon format will then be explained, with teams forming to work on analysis and visualisations related to the future of European integration and European politics. This will be followed by a talk from Dr Mareike Kleine.
Teams will submit their results by the middle of the second day, and then will be judged with a chance for the leading teams to present their work online.
The hackathon will be a multi-site event, across the CIVICA network.
Registration is required. Register here>>
We welcome registrations of teams or individuals. If you register as an individual, you will be allocated to a team on the first day of the Hackathon. If you wish to register as a team please ensure that all members of the team register separately using their own email address and list the same team name in the registration form.
This event is open to students, researchers, academics and other interested citizens and professionals within and beyond the CIVICA alliance.
Prizes will be awarded to the winners of the hackathon.
For more information, contact dsi.events(at)lse.ac.uk
- Kenneth Benoit
- Mareike Kleine
Kenneth Benoit is Director of the Data Science Institute at the London School of Economics and Political Science, and Professor of Computational Social Science in the Department of Methodology. He is also Professor (Part-time) in the School of Politics and International Relations, Australian National University. He has previously held positions in the Department of Political Science at Trinity College Dublin and at the Central European University (Budapest).
Mareike Kleine is Associate Professor (tenured) of EU and International Politics at the London School of Economics and Political Science. Her research interests include international organization, EU politics, international and comparative political economy, informal governance, and normative questions of global governance. Kleine has held visiting positions at Princeton University, Harvard University, the European University Institute, Wissenschaftszentrum Berlin, the University of St. Gallen, and the Hertie School.
This event is organised in the framework of CIVICA Research, a project of CIVICA - The European University of Social Sciences. CIVICA Research brings together researchers from eight leading European universities in the social sciences to contribute knowledge and solutions to the world’s most pressing challenges. CIVICA Research is funded by the EU's research and innovation programme Horizon 2020.
The LSE Data Science Institute will use the data being collected e.g. name and email address to register you for this event. By completing this form you show your consent for the School to send you information about this event.
We need this data in order to register you for this event and will only ever process it in line with your rights. You can ask the School to stop sending you this information by contacting dsi.events(at)lse.ac.uk.
The data does not leave the UK/EU. Further information on how the School manages personal data can be found on the School’s website.
Banner photo: Michal Matlon on Unsplash