Measuring Political Performance

Project Title: Measuring Political Performance
Funded by: Swiss National Science Foundation (SNSF, 10003190)
Duration: October 2025 - September 2028
Principal Investigators: Dr. Laurence Brandenberger (IPZ, University of Zurich), Dr. Luis Salamanca (SDSC, ETH Zurich)
Amount: 803825 CHF
Focus: Clear indicators of political success, election promise fulfillment, and political legacy of members of the Swiss parliament
Data: DemocraSci Knowledge Graph
Methods: Knowledge Graph, Text Embeddings, Supervised Machine Learning, NLP
Open Access: Performance scores, datasets, and tools will be made publicly available
Tagline: "Making Political Performance Visible: Empowering Democracy through Data"
Acronym:

About the Project

How can citizens judge if their elected representatives truly deliver on their promises? Modern democracies rely on informed voters — yet tracking political work is daunting. Our project, Measuring Political Performance, addresses this gap.

We develop clear, politically neutral indicators to assess:

Built on the DemocraSci knowledge graph and state-of-the-art natural language processing (NLP) methods, the project offers new ways for citizens, journalists, and researchers to understand political performance at the individual and group level.

Our goal: to make Swiss parliamentary work transparent, comparable, and accessible — strengthening democratic accountability.

Learn More

We will:

Share tools and methods with researchers to extend to other parliaments.
Our work will culminate in a public-facing platform integrated into DemocraSci, making it easy to explore, compare, and understand political performance.