What brings the SUPA scholars together? Turning laws into data to ask why rules multiply, how to streamline without hurting democracy, and how to help policymakers make sense of it. In the posts below ⬇️👇🔽 we show how each partner tackles a different angle. It really fits together, doesn’t it? 💡

The University of Barcelona @ub.edu team turns archives, APIs, web-scraped material, and legal documents into machine-readable data using text-as-data and NLP — building a dataset on rule growth across the EU. Team: Xavier Fernández-i-Marín, David García García @davidgg.bsky.social , Prachee Arora.

Södertörn Uni. @sodertornshogskola.bsky.social studies how rule-offsetting schemes work, combining theory, coding, and interviews with policymakers & civil society. Goal: effective and legitimate rule design. Team: Brigitte Pircher @brigittepircher.bsky.social , Miranda Thulin, Swapnil Vashishtha.

At the Hebrew University of Jerusalem @hebrewuniversity.bsky.social , the focus is on endogenous rule growth: legal design, linguistic and relational indicators, regulatory discretion — tracing first-, second-, and third-order rules. Team: Nir Kosti.

At LMU Munich @lmumuenchen.bsky.social, the team identifies administrative “Achilles’ heels” and develop proposals for adaptive responses. Team: C. Knill @cknill.bsky.social, A. Lenz @alexalenz.bsky.social, F. Findeisen, D. Zink @dionyszink.bsky.social .