Organization profile

Organisational unit profile

The Cognitive Science & Artificial intelligence (CSAI) program investigates human and artificial brains and minds. It emphasizes artificial intelligence, data science and computer science in light of cognitive science. The program is highly interdisciplinary, focusing on artificial intelligence and human behavior, with an emphasis on data technologies, signal, text, and image processing, robotics and avatars, serious gaming, and virtual and mixed reality.

The CSAI program has acquired projects worth a total of 30 million euros, including over 40 university and corporate partners. Moreover, researchers of the CSAI program have established university-wide initiatives, including a 1.2 million euro virtual and mixed reality lab, a 40 million euro large inter-university data science research and education program now active in three locations, and a 10 million euro inter-party initiative on interactive technologies and human behavior. More information about the program can be found on its website

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Linguistics Engineering & Materials Science
Semantics Engineering & Materials Science
language Social Sciences
Labeling Engineering & Materials Science
Recurrent neural networks Engineering & Materials Science
Computational linguistics Engineering & Materials Science
linguistics Social Sciences
Robots Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.


Research Output 2007 2019

Analyzing and Interpreting Neural Networks for NLP: A Report on the First BlackboxNLP Workshop

Alishahi, A., Chrupala, G. & Linzen, T., 2019, (Submitted) In : Natural Language Engineering.

Research output: Contribution to journalArticleScientific

Association of Amyloid and Tau With Cognition in Preclinical Alzheimer Disease: A Longitudinal Study

Hanseeuw, B. J., Betensky, R. A., Jacobs, H. I. L., Schultz, A. P., Sepulcre, J., Becker, J. A., Cosio, D. M. O., Farrell, M., Quiroz, Y. T., Mormino, E. C., Buckley, R. F., Papp, K. V., Amariglio, R. A., Dewachter, I., Ivanoiu, A., Huijbers, W., Hedden, T., Marshall, G. A., Chhatwal, J. P., Rentz, D. M. & 2 othersSperling, R. A. & Johnson, K., 3 Jun 2019, In : JAMA neurology.

Research output: Contribution to journalArticleScientificpeer-review

Alzheimer Disease
Neurofibrillary Tangles
Cognitive Dysfunction

A Team Based Player Versus Player Recommender Systems Framework For Player Improvement

oshi, R., Gupta, V., Li, X., Cui, Y., Wang, Z., Norouzzadeh Ravari, Y., Klabjan, D., Sifa, R., arsaeian, A., Drachen, A. & Demeduik, S., 29 Jan 2019, ACSW 2019 Proceedings of the Australasian Computer Science Week Multiconference.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

Brain-Computer Interfaces for Enhanced Human-Robot Interaction

Alimardani, M. & Hiraki, K., 2019, In : Frontiers in Robotics and AI.

Research output: Contribution to journalArticleScientificpeer-review

Cortisol associated with hypometabolism across the Alzheimer's disease spectrum

Wirth, M., Lange, C. & Huijbers, W., 2019, In : BioRxiv. p. 514968

Research output: Contribution to journalArticleScientific

Alzheimer Disease
Cross-Sectional Studies

Do Additional Features Help or Hurt Category Learning? The Curse of Dimensionality in Human Learners

Vong, W. K., Hendrickson, A. T., Navarro, D. J. & Perfors, A., 2019, In : Cognitive Science. 43, 3, p. e12724

Research output: Contribution to journalArticleScientificpeer-review

Learning systems

Activities 2009 2019

Top Class AI and the Criminal Justice System - Introduction to AI Lecture

Chris Emmery (Speaker)
1 Mar 2019

Activity: Talk or presentation typesInvited talkScientific

Iconic gestures improves second language learning from a social robot

Paul Vogt (Speaker)
2018 → …

Activity: Talk or presentation typesOral presentationScientific

Hints spelen met een robot

Paul Vogt (Participant), Emiel Krahmer (Participant), Jan de Wit (Participant), Mirjam de Haas (Participant), Bram Willemsen (Participant)

Activity: Other activity typesOtherPopular

Symbol grounding in modeling language acquisition and evolution

P.A. Vogt (Speaker)
17 Jan 2018

Activity: Talk or presentation typesInvited talkScientific

University of Technology Sydney

M.A. Conijn (Visiting researcher)
29 Jan 201811 Jun 2018

Activity: Visiting an external institution typesVisiting an external academic institutionScientific

Symbol grounding in modeling language acquisition and evolution

Paul Vogt (Speaker)
26 Mar 2018

Activity: Talk or presentation typesInvited talkScientific

Projects 2018 2021

Press / Media

Prizes / Recognition

Best full paper award

M. Brandão Carvalho (Recipient), 6 Jul 2015


CoNLL 2017 Best Paper Award

Afra Alishahi (Recipient), Marie Barking (Recipient) & Grzegorz Chrupala (Recipient), 2017


Distinguished Paper Award

Rianne Conijn (Recipient) & Menno van Zaanen (Recipient), 9 Jun 2017


Endeavour Research Fellowship

Rianne Conijn (Recipient), Nov 2017

Prize: Fellowship

European Commission

Science Live @DRONGO award

Paul Vogt (Recipient), 9 Dec 2017