The Collective Learning Network is a network of researchers and practitioners from diverse disciplines and countries investigating the opportunities of new technologies for collective learning—the ability of human groups to adaptively organize and exchange information to overcome individual and collective challenges. The Network is supported by the NSF program in Science of Learning and Augmenting Intelligence, Award #2425934.
Our quarterly Virtual Seminars explore the potential benefits and risks of new technologies for collective learning. While artificial intelligence, social media, and communication platforms can augment collective learning through data-driven insights, they also present challenges around misinformation, polarization, and erosion of trust.
This is an invite-only event series. To express interest in this or future events, please contact Tamara, the network’s manager, at tamara.vdd@gmail.com.
Augmenting Intelligence Through Collective Learning
10:00am-10:15am Introduction Henrik Olsson
10:15am-10:25am Augmenting Intelligence Through Collective Learning Henrik Olsson
10:25am-10:35am Q&A Henrik Olsson
10:35am-10:45am Truth Contagion in Social Networks Stephan Lewandowsky
10:45am-10:55am Q&A Stephan Lewandowsky
11:00am-11:30am Planning Henrik Olsson
Speakers
Henrik OlssonResident Faculty at the Complexity Science Hub in Vienna, Austria and External Professor at the Santa Fe Institute
Stephan LewandowskyProfessor of Cognitive Science at the University of Bristol and Guest Professor in Psychology at the University of Potsdam