Jacob Sherson - Director of ScienceAtHome.org
Ralph Hertwig - Director of Max-Planck Institute for Human development, Berlin
Lars Kai Hansen - Head of Section, Cognitive Systems, Technical University of Denmark
Francois Grey - Head of Citizen Cyberscience Centre
John Murray - Program Director, Computer Science Laboratory, Stanford Research Institute, Silicon Valley
Andreas Roepstorff - Director of Interacting Minds Center, Aarhus, Denmark
Sabrina Maniscalco - Leader of Open Quantum Systems and Entanglement group, University of Turku, Finland
Vittorio Loreto - Coordinator of the KREYON project
Rajiv Basaiawmoit - Head of Innovation & Entrepreneurship, Scitech, Aarhus University
Andrew Mao - Computational social scientist at Microsoft Research NYC
Grant Miller - Special Projects & Communications Lead Zooniverse, University of Oxford
Yu-kai Chou - Founder and Chief of the Octalysis Group
Özgür Şimşek - Research Scientist, Max Planck Institute for Human Development Center for Adaptive, Behavior and Cognition, Berlin
Will Silversmith - Technical lead of Eyewire
Ed Manley - University College London and Sea Hero Quest
TO BE CONFIRMED
Zoran Popovic - Director, Center for Game Science (Foldit)
Karim Lakhani - Principal Investigator of the Crowd Innovation Lab and NASA Tournament Lab
Tommaso Calarco - Director Centre for Integrated Quantum Science and Technology, Universities of Ulm and Stuttgart and Max-Planck Institute for Solid-State Research (D)
Björn W. Schuller - Editor in Chief IEEE Transactions on Affective Computing, Imperial College London
Joanna Bryson - Associate professor and leader of Intelligent Systems research group, University of Bath, and Affiliate, Center for Information Technology Policy at Princeton University
Simon Colton - ERA Chair in Digital Games Technology at Falmouth University and Professor of Computational Creativity in the Department of Computing of Goldsmiths College, University of London
Representatives of corporate efforts (Microsoft, IBM, Google, National Instruments)
Machine learning and artificial intelligence (AI) strategies utilizing big data have recently demonstrated remarkable achievements in solving hard computational problems.
The emerging field of citizen science explores problem solving hard problems from a different angle by transforming them into online games enabling everyday citizens to play and contribute to the solution. As such, citizen science is continually probing the current fault line between artificial and human problem solving as it actively seeks out solutions to hard scientific problems.
In a unique setup, we then aim to bring together a diverse group of researchers from the natural, cognitive, and behavioral sciences to explore a number of fundamental questions that are to be found at the intersection of these fields:
Which classes of research problems allow for intuition and heuristics based solutions and consequently enable the superiority of human problem solvers?
Which cognitive and behavioral processes underlie human performance?
Can these be exploited in new optimization algorithms? Can we transform the insights of processes of human problem solving into general advances in the field of AI and in specialized optimization algorithms?
Crystal Crop Fever
In Crystal Crop Fever you choose individual squares to see how many crystals are revealed beneath. The underlying goal of the game is to gather information about players’ complex decision-making, when being affected by the decisions of other players.
The ScienceAtHome Summit on Human Problem Solving
and Artificial Intelligence is supported by:
To find out more about the summit, sign up and reserve your place
contact Jacob Sherson at Aarhus University.
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