
Scientific Discovery Games for Biomedical Research
Author(s) -
Rhiju Das,
Benjamin Keep,
Peter Washington,
Ingmar H. Riedel-Kruse
Publication year - 2019
Publication title -
annual review of biomedical data science
Language(s) - English
Resource type - Journals
ISSN - 2574-3414
DOI - 10.1146/annurev-biodatasci-072018-021139
Subject(s) - data science , diversity (politics) , scientific discovery , computer science , cognitive science , psychology , sociology , anthropology
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.