Pillar 01
Own research with full lineage
Our publications deliver not only results but the entire path leading to them:
data sources, processing steps, alternative model specifications, replication kits.
If you want to compute our findings differently, you can. Open science is programme,
not appendix.
Pillar 02
Data literacy made accessible
Through programmes such as the As-If Science Jam, we make the micro-techniques
of statistical manipulation — cherry-picking, p-hacking, survivorship bias, axis choice —
tangible. Whoever has played through the mechanism themselves recognises it in election
campaigns, tabloid press, and policy papers. Resilience built not through fact-checks
but through familiarity with the procedure.
Pillar 03
Open data — curated, annotated, ready to use
We curate datasets from public sources (Eurostat, AACT/ClinicalTrials.gov, OECD,
WHO and others), build replication kits and annotated methodology notebooks, and
make them publicly accessible. A bridge between institutional data sources and
everyone who wants to work with them — researchers, students, journalists,
interested citizens. Open data must not only be free but also usable.