Sebastian Salzmann

M.A. candidate in Public Policy (CEU Vienna) & Jurist — law, causal inference, and NLP/LLM methods for policy research.

Status: Ongoing (M.A. Thesis)     Period: 2025–2026

Applied machine learning, causal inference, and LLM-driven text classification to a dataset of 275,000+ freedom-of-information (FOI) requests to identify the legal, political, and organizational drivers of administrative legal decision-making. Combines quantitative social science methods with domain knowledge from legal practice.

Net-Rol: LLM-Based Content Generation & Evaluation for Network Research

Status: Ongoing     Period: 2026–present     Central European University, Vienna

Oversee LLM-based content generation for network research; evaluate and validate AI-generated output, diagnose systematic errors, and refine extraction pipelines. Work sits at the intersection of NLP methodology and empirical social science.

Strategic Litigation Case Assessment

Status: Completed     Period: 04/2025–05/2025     Gesellschaft für Freiheitsrechte e.V. (GFF), Berlin

Authored case-selection assessments and legal analysis for a high-profile case as part of the GFF’s strategic litigation work, resulting in a co-authored publication. Screened claimants and co-drafted a court complaint.

Strategic Climate Change Litigation

Status: Completed     Period: 2024

Research and advocacy on strategic climate litigation as a pathway to wider policy implementation, presented at the International Climate Law Conference in Prague. Builds on earlier campaign work coordinating a nationwide climate-law initiative.