No abstract

The rapid growth and increasing popularity of smartphone technology is putting sophisticated data-collection tools in the hands of more and more citizens. This has exciting implications for the expanding field of citizen science. With smartphone-based applications (apps), it is now increasingly practical to remotely acquire high quality citizen-submitted data at a fraction of the cost of a traditional study. Yet, one impediment to citizen science projects is the question of how to train participants. The traditional “in-person” training model, while effective, can be cost prohibitive as the spatial scale of a project increases. To explore possible solutions, we analyze three training models: 1) in-person, 2) app-based video, and 3) app-based text/images in the context of invasive plant identification in Massachusetts. Encouragingly, we find that participants who received video training were as successful at invasive plant identification as those trained in-person, while those receiving just text/images were less successful. This finding has implications for a variety of citizen science projects that need alternative methods to effectively train participants when in-person training is impractical.

No abstract

Free/Libre and Open Source Software (FLOSS)

Recently, an exciting approach to solving complex problems has evolved out of computer science, called Open Source programming. In open source software development settings, programmers freely share their intellectual property ? their readable programming source code ? over the Internet. Some open source endeavors have resulted in very complex, high-quality software products, of which the best-known are the Linux operating system and the Apache Web server. A great advantage of an Internet-based open source approach is its potential to achieve global collective action toward developing robust solutions to complex programming problems. This paper argues that open source has potential application beyond computer programming. Open source principles could potentially be applied to almost any intellectual endeavor, and may be a very important innovation toward harnessing global collaboration toward solving complex public policy and management problems. Little research has been published outlining the details of how successful open source programming endeavors are achieved, such as how projects are initiated and organized over time, what rules for participation have been established, and how the methods for maintaining versions of new submissions have been managed. The institutional designs and management of open source projects could be critical for ensuring participants' willingness to collaborate and for recruiting new team members. This paper and the research program it describes, attempts to address this gap. It provides a summary of the "life cycle" of open source programming projects based on existing literature that is largely focused on high-profile open source projects like Linux and Apache Web Server. It then provides interim results from an on-going study of the institutional designs of open source programming projects. It concludes by presenting some examples of non-programming projects that are beginning to apply open source or licensing principles in areas outside of programming and by presenting an example of how these principles might be applied to complex problems beyond programming in the realm of environmental policy and management.