title: Crowd science user contribution patterns and their implications.
abstract: Scientific research performed with the involvement of the broader public (the crowd) attracts increasing attention from scientists and policy makers. A key premise is that project organizers may be able to draw on underused human resources to advance research at relatively low cost. Despite a growing number of examples, systematic research on the effort contributions volunteers are willing to make to crowd science projects is lacking. Analyzing data on seven different projects, we quantify the financial value volunteers can bring by comparing their unpaid contributions with counterfactual costs in traditional or online labor markets. The volume of total contributions is substantial, although some projects are much more successful in attracting effort than others. Moreover, contributions received by projects are very uneven across time--a tendency toward declining activity is interrupted by spikes typically resulting from outreach efforts or media attention. Analyzing user-level data, we find that most contributors participate only once and with little effort, leaving a relatively small share of users who return responsible for most of the work. Although top contributor status is earned primarily through higher levels of effort, top contributors also tend to work faster. This speed advantage develops over multiple sessions, suggesting that it reflects learning rather than inherent differences in skills. Our findings inform recent discussions about potential benefits from crowd science, suggest that involving the crowd may be more effective for some kinds of projects than others, provide guidance for project managers, and raise important questions for future research.
authors.affiliation: Georgia Institute of Technology, Scheller College of Business, Atlanta, GA 30308; and henry.sauermann@scheller.gatech.edu.
authors.forename: Henry
authors.initials: H
authors.lastname: Sauermann
authors.affiliation: Politecnico di Milano, School of Management, Milan 20133, Italy.
authors.forename: Chiara
authors.initials: C
authors.lastname: Franzoni
mesh_terms: D001256:Astronomy; D003441:Crowding; D006801:Humans
keywords: citizen science; crowd science; crowdsourcing; dynamics; effort valuation