Scientific Discovery Games for Biomedical Research
Scientific Discovery Games for Biomedical Research
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DOI：
10.1146/annurev-biodatasci-072018-021139
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发表时间：
2019-01-01
期刊：
影响因子：
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通讯作者：
Riedel-Kruse, Ingmar H.
中科院分区：
文献类型：
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作者：
Das, Rhiju;Keep, Benjamin;Riedel-Kruse, Ingmar H.
在过去的十年中，科学发现游戏（SDG）已经成为生物医学研究的一种可行方法，吸引了数十万志愿者参与，并产生了许多科学出版物。在描述了这种新的研究方法的起源之后，我们回顾了SDG在分子建模，序列比对，神经科学，病理学，细胞生物学，基因组学和人类认知方面的科学成果。我们发现，在Foldit和Eterna等面向问题的游戏以及EyeWire和Project Discovery等面向数据的游戏中，都出现了令人信服的结果和技术创新。我们讨论了在不同项目中共享的玩家社区的新兴特性，包括社区的多样性和一些志愿者的非凡贡献，例如论文写作。最后，我们强调了与人工智能、生物云实验室、新游戏类型、科学教育和开放科学的联系，这些都可能推动下一代可持续发展目标的实现。
Over the past decade, scientific discovery games (SDGs) have emerged as a viable approach for biomedical research, engaging hundreds of thousands of volunteer players and resulting in numerous scientific publications. After describing the origins of this novel research approach, we review the scientific output of SDGs across molecular modeling, sequence alignment, neuroscience, pathology, cellular biology, genomics, and human cognition. We find compelling results and technical innovations arising in problem-oriented games such as Foldit and Eterna and in data-oriented games such as EyeWire and Project Discovery. We discuss emergent properties of player communities shared across different projects, including the diversity of communities and the extraordinary contributions of some volunteers, such as paper writing. Finally, we highlight connections to artificial intelligence, biological cloud laboratories, new game genres, science education, and open science that may drive the next generation of SDGs.