Networked Research

InterLab conveys deep research expertise and interdisciplinary knowledge to address intractable problems relating to human development

CONNECT

Engaging in complex social problems

Promising research exists at the intersections between different knowledge domains. By utilizing interdisciplinary research, InterLab engages in complex social problems.

Data
Learning Analytics

Systems
Future Education Models

Affect
Social & Affective Computing

Networks
Networked Learning

InterLab shares its interdisciplinary research

Publications allow InterLab to share its work and therefore showcase the results of the interdisciplinary research.
INNOVATE

Sharing Research
and Methods

120

Publications

InterLab brings together psychologists, computer scientists, machine learning experts, learning scientist, and language technology experts. The research areas include adaptive learning, learning analytics, mindfulness, social learning, self-regulated learning, labor market changes, and future of higher education.

COLLABORATE

Members

Increasing knowledge through cooperation

The InterLab team consists of doctoral students, postdoctoral fellows, and professors from universities around the globe. Through collaboration and the multidisciplinary expertise of team members, InterLab tackles complex challenges that can only be addressed holistically.

12

 

Universities