Statement of Need: The current data ecosystem lacks the necessary norms and standards for machine use. Participants will address the challenge of using machine-interoperable data and navigation in democracy studies. The convening participants will work together to identify, and target for investment, new scholarly approaches for computational democracy studies, focusing on FAIR principles (Findable, Accessible, Interoperable, Reusable).
Goals: By developing resources that promote “interoperability,” the project seeks to create conceptual frameworks and knowledge maps that facilitate machine usage of data, advancing public goods for the scholarly community. A primary goal of the workshop is to identify a concrete set of “next steps” that democracy scholars can take to position the field to advance their knowledge, enhance their collaboration, and amplify the impact of their work.
Organizing Commitee: will be posted soon
Host: GESIS Leibniz Institute for Social Sciences
Funding: Democracy Catalyst & The Democracy Initiative, University of Notre Dame.