CROWD SCIENCE INITIATIVE
We bring together the research and industry communities to study and develop the practices and policies of reliable data collection – a backbone of fair, trustworthy, and efficient AI.
CROWD SCIENCE INITIATIVE
We bring together the research and industry communities to study and develop the practices and policies of reliable data collection – a backbone of fair, trustworthy, and efficient AI.
Join our activities
Seminar Series
We host a venue where researchers and practitioners can discuss their work, exchange ideas, and find collaborations.
Watch live or give a talk
Workshops and Tutorials
We organize events at top-tier conferences to spark an interest in fundamental research in the broad area of crowd science.
Attend
Challenges
To bridge the gap between theory and practice, we host data challenges to let researchers evaluate their ideas on real data.
Challenge yourself
Next events
April 8
Crowd Science Seminar
Crowdsourcing Through Robust Rank-One Matrix Factorization
Alex Olshevsky, Boston University
April 15
VLDB 2021 Crowd Workshop Challenge begins
In conjunction with the VLDB 2021 Crowd Workshop, we organize a contest to develop benchmarks in non-standard aggregation.
August 28
VLDB 2021 Crowd Workshop

We organize VLDB 2021 Crowd workshop to bring scientists working in the area of crowdsourcing together and discuss the future of the field.
Our team
Daria Baidakova
Toloka
Fabio Casati
ServiceNow
Alexey Drutsa
Toloka
Ivan Stelmakh
Carnegie Mellon Univeristy
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