PrinTeam studied collective knowledge production in early modern print shops, KnowStudents tracks student travel and transcultural knowledge in the Renaissance, and COURAGE examined cultural heritage of dissent in socialist countries.
INSTYTUT FILOZOFII I SOCJOLOGII POLSKIEJ AKADEMII NAUK
Polish Academy of Sciences institute combining humanities scholarship in intellectual history with emerging expertise in explainable AI and natural language technology.
Their core work
IFIS PAN is the Institute of Philosophy and Sociology of the Polish Academy of Sciences, one of Poland's leading humanities research institutions. They specialize in the history of ideas, early modern intellectual culture, and the sociology of knowledge production, with a growing capability in explainable AI and computational approaches to language. Their work bridges traditional humanities scholarship — such as the history of publishing, migration, and political thought — with modern computational methods, making them a rare interdisciplinary partner for projects requiring both deep historical expertise and AI literacy.
What they specialise in
NL4XAI is a Marie Curie training network focused on interpretable machine learning, argumentation technology, and natural language generation for AI explainability.
artes EUmanities developed interdisciplinary graduate programs with joint supervision agreements and intersectoral strategies for humanities education across Europe.
KnowStudents investigates historical student mobility patterns across Europe, while artes EUmanities includes European and global mobility as a core theme.
How they've shifted over time
IFIS PAN's early H2020 work (2016–2018) was rooted in traditional humanities: early modern political thought, the history of publishing, and cultural heritage of dissent in former socialist countries. From 2019 onward, a clear bifurcation emerged — they maintained their historical scholarship (KnowStudents, their largest ERC grant) while simultaneously entering the AI space through NL4XAI, working on explainable AI and computational intelligence. This dual trajectory suggests deliberate institutional expansion from pure humanities into computational and interdisciplinary methods.
IFIS PAN is evolving from a classical humanities institute toward one that combines historical expertise with computational and AI methods — expect future projects at the intersection of humanities and responsible AI.
How they like to work
IFIS PAN operates in both leadership and supporting roles with an even split: they coordinated 2 projects (PrinTeam, KnowStudents) and participated in 3 others. Their 46 unique partners across 21 countries indicate a broad, non-repetitive network typical of an institution that joins diverse consortia rather than relying on a fixed circle. They are comfortable in both small focused teams (PrinTeam as a single-PI ERC fellowship) and large training networks (NL4XAI, artes EUmanities).
With 46 unique consortium partners spanning 21 countries, IFIS PAN has a remarkably wide European network for an institute of its size. Their reach is pan-European with no obvious geographic concentration, reflecting participation in diverse Marie Curie and ERC-funded networks.
What sets them apart
IFIS PAN occupies an unusual niche: a top-tier Polish humanities institute that has credibly entered the AI explainability space. This combination is rare — most XAI research sits in computer science departments, while IFIS PAN brings philosophical and sociological perspectives on argumentation, reasoning, and knowledge production. For consortium builders seeking humanities-informed AI ethics or human-centered explainability, they offer expertise that pure technical partners cannot.
Highlights from their portfolio
- KnowStudentsTheir largest project (EUR 1.74M ERC Consolidator Grant) as coordinator, studying Renaissance student mobility — signals strong PI-level research leadership and ERC competitiveness.
- NL4XAIA Marie Curie training network on explainable AI that represents a significant disciplinary pivot from pure humanities into computational intelligence and interpretable machine learning.
- COURAGEParticipation in a project on cultural heritage of dissent in former socialist countries — demonstrates expertise in Central/Eastern European cultural and political history.