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.
Prof. Matthew Bernacki, Ph.D.
The University of North Carolina
Learning Sciences, Interventions
Prof. Dr. Andreas Diekmann
Leipzig University & ETH Zürich
Sociological Methods/Models
Prof. Lynn S. Fuchs, Ph.D.
Vanderbilt University
Special Education, Assessment
Prof. Dr. Carolin Strobl
Universität Zürich
Statistical Learning, Psychological Methods
Prof. Jeff M. Phillips, Ph.D.
University of Utah
Algorithms for Big Data, Geometric Data Analysis
Prof. Hiroki Ogata, Ph.D.
Kyoto University
Learning Analytics, Educational Data Science, Educational Data Mining