Rallapalli Ghanasyam, Saunders Diane Go, Yoshida Kentaro, Edwards Anne, Lugo Carlos A, Collin Steve, Clavijo Bernardo, Corpas Manuel, Swarbreck David, Clark Matthew, Downie J Allan, Kamoun Sophien, MacLean Dan
The Sainsbury Laboratory, Norwich, United Kingdom.
The Genome Analysis Centre, Norwich, United Kingdom.
Elife. 2015 Jul 29;4:e07460. doi: 10.7554/eLife.07460.
In 2013, in response to an epidemic of ash dieback disease in England the previous year, we launched a Facebook-based game called Fraxinus to enable non-scientists to contribute to genomics studies of the pathogen that causes the disease and the ash trees that are devastated by it. Over a period of 51 weeks players were able to match computational alignments of genetic sequences in 78% of cases, and to improve them in 15% of cases. We also found that most players were only transiently interested in the game, and that the majority of the work done was performed by a small group of dedicated players. Based on our experiences we have built a linear model for the length of time that contributors are likely to donate to a crowd-sourced citizen science project. This model could serve a guide for the design and implementation of future crowd-sourced citizen science initiatives.
2013年，为应对前一年在英格兰爆发的白蜡树枯梢病疫情，我们推出了一款名为“白蜡树”的Facebook游戏，让非专业人士能够为导致该病的病原体以及受其侵害的白蜡树的基因组学研究做出贡献。在51周的时间里，玩家在78%的情况下能够匹配基因序列的计算比对，并在15%的情况下对其进行改进。我们还发现，大多数玩家只是对游戏短暂感兴趣，而且大部分工作是由一小群热心玩家完成的。基于我们的经验，我们构建了一个线性模型，用于预测贡献者可能为众包公民科学项目投入的时间长度。该模型可为未来众包公民科学倡议的设计和实施提供指导。
