Science@home, individual and collective creativity

Jacob ShersonCODER: AU Ideas Center,

Community driven research

Citizen Cyberlab Summit, Geneva17-18 September 2015

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Citizen science

Dificulty level

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Citizen science V2.0

7 billion research assistants

7 billion research leaders

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Citizen science

Dificulty level

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Citizen science V2.0

7 billion research assistants

7 billion research leaders

SkillsTime

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Walking in the Alps: where is the top?

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Con

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Control variable x

How can we study creativity systematically?

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Human Computing / citizen science

3.000.000.000 hoursspent on computer games every week 100.000.000 hours

spent on makingentire Wikipedia

scienceathome.org

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scienceathome.org@QuantumMoves

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www.scienceathome.org

Innovation

Interdisciplinary research center: CODER

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Physics

Didactics

Psychology/anthropology: formation of groups, reward structure

Cognitive research, Decision making, stress response

CODER

Andreas Roepstorff, Interacting Minds (cognitiveneuroscience, ethnography)

Andreas Lieberoth

Corporate innovationOana Vuculescu, Carsten Bergenholtz (BSS)

Rikke Magnussen, AAU

Jana Jarecki, Max Planck, Berlin (cognitive science)

Chemistry

Thomas Vosegaard

Ole Eggers Bjælde, CSE

Life in a quantum lab

Produceret af Lundbeck Fonden, 2013

Scientific challenge 1: Transport of an atom

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Classical analogies:

Harmonisk oscillator

Scientific challenge 2: merge 2 atoms

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Concept: The best solutions can be converted to electrical signals controlling the movement of a laser in the lab.

scienceathome.org

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scienceathome.org@QuantumMoves

Man vs Machine

Unique player strategies

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Meilby: #4596 games, Rank 6“…figured I was letting them merge too fast because the first atom was what I would say too excited, and not going to relax. Then I had to be patient, when they were merging, and with some patience letting it flow in itself when they got near each other.”

scienceathome.org

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scienceathome.org@QuantumMoves

Man vs Machine

Man with Machine

JJ Sørensen et al, under consideration for Nature, arxiv.org:1506.09091

Walking in the Alps: where is the top?

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Con

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Control variable x

How can we study innovation systematically?

• 1000 dimensional spiky landscape• Players find the good region (green)

JJ Sørensen et al, under consideration for Nature, arxiv.org:1506.09091

Quantum Minds: using the mouse to peek intoyour brain

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Improving artificialintelligence

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Quantum Minds

Quantum Minds: learning curves

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Outlook into the future

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Business innovation: The Alien Game

How can we study innovation systematically?

Metaphor: finding the idea in an unknownlandscape

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Vuculescu, O. and C. Bergenholtz (2014). "How to Solve Problems with Crowds: A Computer-Based Simulation Model." Creativity and Innovation Management 23(2): 121-136.

The alien game

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The alien game: problem representation

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3 Search strategies• Random• Local (single flips)• Modular (group flip)

• In the game: offer advice from ”players” with high/low• Status• Ability

• Detect probability of players changing strategyconditioned on advice

The Goldmine game

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Single player

The Goldmine game

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Single player Multi playervs

The Umbrella game

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The emergence of collaboration

Collaborative construction

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The emergence of…• non-verbal communication• hierarchy

Game-based education

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From problem solving to innovation / creativity

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Citizen science

Dificulty level

Use

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Citizen science V2.0

7 billion research assistants

7 billion research leaders

SkillsTime

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Teaching modes

Motivation for curriculum

Fun

and

enga

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Main teaching hypotheses:• Presenting the curriculum in a

research relevant context increasesthe motivation to learn.

• Game-based education activatesand motivates

``Most ibooks for schooltoday are simply slightly

improved normal books``High school, physics teacher

• A. Lieberoth et al Getting humans to do quantum optimization -user acquisition, engagement and early results from the citizen cyberscience game Quantum Moves, J. Human Comp., 1 (1) 2014

• O Bjælde et al, Gamification of Quantum Mechanics Teaching, arxiv.org:1506.08128

• R. Magnussen et al, Games as a Platform for Student Participation in Authentic Scientific Research, EJEL (2014)

Personalized teaching: Cross correlations

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Performance: I would like to be better than my fellow students

Mastery: I like assignments where I learn something even though I make many mistakes along the way

General approach:• Find generic types of students (Mastery vs performance, Gamer?, …)• Correlate the success/failure of each aspect with student types• Find the optimal teaching strategy for each type = personalized teaching

Game-based education

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2011-2015:Interventions in • Primary schools• High scholls• University lectures

Fall of 2015:Launch independent, game-based online learningtrajectories admixing:• Games• Simulations• Videos• Questions

• A. Lieberoth et alGetting humans to do quantum optimization - user acquisition, engagement and early results from the citizen cyberscience game Quantum Moves, J. Human Comp., 1 (1) 2014

• O Bjælde et al, Gamification of Quantum Mechanics Teaching, arxiv.org:1506.08128• R. Magnussen et al, Games as a Platform for Student Participation in Authentic

Scientific Research, EJEL (2014)

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Where was the user innovation???

Dificulty level

Use

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Citizen science V2.0

7 billion research assistants

7 billion research leaders

SkillsTime

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Our long term vision: training researchers

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• Time-dependent Schrödinger • Gross-Pitaevskii (BECs)• Bose-Hubbard (lattice dynamics)• …

To come

Loop

Global crowd computing platform to outsource calculations

Our long term vision: training researchers

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To come

Loop

Global crowd computing platform to outsource calculations

WWW Laboratory

QuantumComputer game

Lab Client

HardwareServer

DataAnalysis

Dataacquisition

ExperimentalMonitor

The remote controlled lab

The hard working teams

Hires Eksperiment:Post Docs:− Mario Napolitano− Mark BasonPhD Students:− Miroslav Gajdacz− Robert Heck− Romain MüllerMaster Students:− Aske Thorsen− Jakob Jørgensen− Jakob Winge− Søren Christensen

Game developers− Lars Kroll Kristensen− Kristian Bak− Anders Lund− Beata Biskupicova− Birk Skyum− Donatas Tutinas− Justas Bistrickas− Simon Enni− Søren Pettersson− Jesper Jensen

Theory/simulationPost Docs:− Pinja HaikkaPhD Students:− Jens Jakob Sørensen− Mads KockMaster Students:− Ottó Elíasson− Morten Andreasen

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