Exploring the quantum speed limit with computer games

Sørensen, Jens Jakob; Pedersen, Mads Kock; Münch, M.; Haikka, Pinja; Jensen, Jesper Hasseriis Mohr; Planke, Tilo; Andreasen, Morten Ginnerup; Gajdacz, Miroslav; Mølmer, Klaus; Lieberoth, Andreas; Sherson, Jacob

doi:10.1038/nature17620

Cited by 108 publications

(231 citation statements)

References 36 publications

(69 reference statements)

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“…The best designs, as chosen by the community, were then tested experimentally 73,78 . Hence, gamification is a powerful tool to engage massive numbers of volunteer citizen scientists to solve complex problems in which human intuition can outperform computer algorithms, even for abstract problems such as quantum computing 79 .…”

Section: Figurementioning

confidence: 99%

Crowdsourcing biomedical research: leveraging communities as innovation engines

et al. 2016

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The generation of large-scale biomedical data is creating unprecedented opportunities for basic and translational science. Typically, the data producers perform initial analyses, but it is very likely that the most informative methods may reside with other groups. Crowdsourcing the analysis of complex and massive data has emerged as a framework to find robust methodologies. When the crowdsourcing is done in the form of collaborative scientific competitions, known as Challenges, the validation of the methods is inherently addressed. Challenges also encourage open innovation, create collaborative communities to solve diverse and important biomedical problems, and foster the creation and dissemination of well-curated data repositories.

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Section: Figurementioning

confidence: 99%

Crowdsourcing biomedical research: leveraging communities as innovation engines

et al. 2016

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“…Although CS offers a promising approach, its full potential has not yet been realized. On the one hand, CS projects have recently offered a platform for unique research in terms of the topic [5, 6] and the extent of the data [4, 7]. On the other hand, they are often in poor synergy with the education system, and they also insufficiently emphasize synergies between environmental education and science education [8].…”

Section: Introductionmentioning

confidence: 99%

A Webcast of Bird Nesting as a State-of-the-Art Citizen Science

2017

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The quality of people’s knowledge of nature has always had a significant influence on their approach to wildlife and nature conservation. However, direct interactions of people with nature are greatly limited nowadays, especially because of urbanization and modern lifestyles. As a result, our isolation from the natural world has been growing. Here, we present an example of a state-of-the-art Citizen Science project with its educational, scientific, and popularizing benefits. We conclude that modern media and new forms of education offer an effective opportunity for inspiring children and others to have fun learning to act like scientists. This approach provides broad opportunities for developing the hitherto neglected educational potential of Citizen Science.

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“…For example, narrowly focused workers might each labor to enhance their own productivity, but this might actually decrease overall company performance. Crowd-sourcing applications in science (such as solving quantum problems 28 or other sorts of “citizen science” ranging from protein folding 29 to the assessment of archeological or astronomical images) might be facilitated by adding some bots or noise to groups working collaboratively. Moreover, our work reinforces the idea that both simple and sophisticated AI might be useful.…”

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confidence: 99%

Locally noisy autonomous agents improve global human coordination in network experiments

Shirado

Christakis

2017

Nature

249

169

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Coordination in groups faces a sub-optimization problem1–6 and theory suggests that some randomness may help achieve global optima7–9. We performed experiments involving a networked color coordination game10 in which groups of humans interacted with autonomous software agents (“bots”). Subjects (n=4,000) were embedded in networks (n=230) of 20 nodes to which we sometimes added 3 bots. The bots were programmed with varying levels of behavioral randomness and different geodesic locations. Here, we show that bots acting with small levels of random noise and placed in central locations meaningfully improve the collective performance of human groups, accelerating the median solution time by 55.6%. This is especially the case when the coordination problem is hard. Behavioral randomness worked not only by making the task of humans to whom the bots were connected easier, but also by affecting the game play of the humans among themselves and hence creating further cascades of benefit in global coordination in these heterogeneous systems.

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Exploring the quantum speed limit with computer games

Cited by 108 publications

References 36 publications

Crowdsourcing biomedical research: leveraging communities as innovation engines

Crowdsourcing biomedical research: leveraging communities as innovation engines

A Webcast of Bird Nesting as a State-of-the-Art Citizen Science

Locally noisy autonomous agents improve global human coordination in network experiments

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