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International Advisory Board

Research conducted by the FAIR-scholars and FAIR-fellows is supported by an international advisory board. The board members are leading scholars across the fields of education (including special education and learning analytics), psychology, sociology, statistics, data science (including educational data science), and research methods. The board members ensure that FAIR focuses on cutting-edge research, provide opportunities for collaboration, and support the dissemination of research conducted in FAIR. 

Empirical Educational Research

Prof. Matthew Bernacki, Ph.D.

portrait of Matthew Bernacki © The University of North Carolina at Chapel Hill

The University of North Carolina
Learning Sciences, Interventions

Empirical Social Research

Prof. Dr. Andreas Diekmann

portrait of Andreas Diekmann © Wissenschaftskolleg zu Berlin e. V.

Leipzig University & ETH Zürich
Sociological Methods/Models

Empirical Rehabilitation Research

Prof. Lynn S. Fuchs, Ph.D.

portrait of Lynn Fuchs © Vanderbilt University

Vanderbilt University
Special Education, Assessment


Prof. Dr. Carolin Strobl

portrait of Carolin Strobl © Sonja Ruckstuhl Fotografie

Universität Zürich
Statistical Learning, Psychological Methods

Data Science, Algorithm Design and Computational Theory

Prof. Jeff M. Phillips, Ph.D.

portrait of Jeff M. Philipps © University of Utah

University of Utah
Algorithms for Big Data, Geometric Data Analysis

Educational Data Science

Prof. Hiroki Ogata, Ph.D.

© FAIR​/​TU Dortmund

Kyoto University
Learning Analytics, Educational Data Science, Educational Data Mining