Research at the Intersections of Knowlege Domains

InterLab brings together psychologists, computer scientists, machine learning experts, learning scientist, and language technology experts. The research areas include Future Education Models, Networked Learning, Social and Affective Computing, and Learning Analytics. By utilizing interdisciplinary research, InterLab evaluates complex social challenges.
14-social-learning
EXPLORE

Vision

InterLab utilizes deep research expertise and interdisciplinary knowledge to address intractable problems.

Research Areas

Data
Learning Analytics

Systems
Future Education Models

Affect
Social & Affective Computing

Networks
Networked Learning

SOLUTION

Impact

Promising research exists at the intersections of knowledge domains. Using a model of connected expertise, InterLab generates impact both within academic domains and in society broadly.

7-solution

Contact Email

contact@interlab.me

Contact Individual Researchers

7-solution