A Research Platform for Data-Driven Democracy Studies in Switzerland -DemocraSci
Co-PIs:
- Dr. Dr. Frank Schweitzer (ETH Zürich)
- Dr. Ingo Scholtes (University of Zürich)
Project presentation
April 20th 2018
Project presentation
May 13th 2019
Problem:
Lack of easily accessible, structured data for data science applications in political science, despite availability of (scanned) historic documents on parliamentary processes in the Swiss National Archive
Solution:
Develop scalable and reusable document processing and analysis chain for parliamentary proceedings of the last 125 years:
- Automated analysis and annotation of document structure and contents
- Generation of knowledge graph linking political actors, parties, votes, etc.
- Provide data analysis and visualisation tools for political scientists
Impact:
- A new data basis for computational social science and Swiss parliamentary research
- A reusable document processing chain for the humanities and the social sciences