Andrea Wiggins

Public Participation in Scientific Research: a Framework for Deliberate Design

Members of the public participate in scientific research in many different contexts, stemming from traditions as varied as participatory action research and citizen science. Particularly in conservation and natural resource management contexts, where research often addresses complex social-ecological questions, the emphasis on and nature of this participation can significantly affect both the way that projects are designed and the outcomes that projects achieve. We review and integrate recent work in these and other fields, which has converged such that we propose the term public participation in scientific research (PPSR) to discuss initiatives from diverse fields and traditions. We describe three predominant models of PPSR and call upon case studies suggesting that—regardless of the research context—project outcomes are influenced by (1) the degree of public participation in the research process and (2) the quality of public participation as negotiated during project design. To illustrate relationships between the quality of participation and outcomes, we offer a framework that considers how scientific and public interests are negotiated for project design toward multiple, integrated goals. We suggest that this framework and models, used in tandem, can support deliberate design of PPSR efforts that will enhance their outcomes for scientific research, individual participants, and social-ecological systems.

Free/Libre open-source software development: What we know and what we do not know

We review the empirical research on Free/Libre and Open-Source Software (FLOSS) development and assess the state of the literature. We develop a framework for organizing the literature based on the input-mediator-output-input (IMOI) model from the small groups literature. We present a quantitative summary of articles selected for the review and then discuss findings of this literature categorized into issues pertaining to inputs (e.g., member characteristics, technology use, and project characteristics), processes (software development practices, social processes, and firm involvement practices), emergent states (e.g., social states and task-related states), and outputs (e.g. team performance, FLOSS implementation, and project evolution). Based on this review, we suggest topics for future research, as well as identify methodological and theoretical issues for future inquiry in this area, including issues relating to sampling and the need for more longitudinal studies.

From Conservation to Crowdsourcing: A Typology of Citizen Science

Citizen science is a form of research collaboration involving members of the public in scientific research projects to address real-world problems. Often organized as a virtual collaboration, these projects are a type of open movement, with collective goals addressed through open participation in research tasks. Existing typologies of citizen science projects focus primarily on the structure of participation, paying little attention to the organizational and macrostructural properties that are important to designing and managing effective projects and technologies. By examining a variety of project characteristics, we identified five types-Action, Conservation, Investigation, Virtual, and Education- that differ in primary project goals and the importance of physical environment to participation.

The future of citizen science: emerging technologies and shifting paradigms

Citizen science creates a nexus between science and education that, when coupled with emerging technologies, expands the frontiers of ecological research and public engagement. Using representative technologies and other examples, we examine the future of citizen science in terms of its research processes, program and participant cultures, and scientific communities. Future citizen-science projects will likely be influenced by sociocultural issues related to new technologies and will continue to face practical programmatic challenges. We foresee networked, open science and the use of online computer/video gaming as important tools to engage non-traditional audiences, and offer recommendations to help prepare project managers for impending challenges. A more formalized citizen-science enterprise, complete with networked organizations, associations, journals, and cyberinfrastructure, will advance scientific research, including ecology, and further public education.

Developing a conceptual model of virtual organisations for citizen science

This paper develops an organisation design-oriented conceptual model of scientific knowledge production through citizen science virtual organisations. Citizen science is a form of organisation design for collaborative scientific research involving scientists and volunteers, for which internet-based modes of participation enable massive virtual collaboration by thousands of members of the public. The conceptual model provides an example of a theory development process and discusses its application to an exploratory study. The paper contributes a multi-level process model for organising investigation into the impact of design on this form of scientific knowledge production.

Intellectual diversity and the faculty composition of ischools

We provide evidence and discuss findings regarding the intellectual distribution and faculty composition of academic units involved in the iSchool community. To better understand the intellectual heritage and major influences shaping the development of the individual and collective identities in iSchools, we develop a classification of the intellectual domains of iSchool faculty education. We use this to develop a descriptive analysis of the communitys intellectual composition. The discussion focuses on characterizing intellectual diversity in the iSchools. We conclude with a discussion of the potential implications of these trends relative to the future development of the iSchool community.

Goals and Tasks: Two Typologies of Citizen Science Projects

Citizen science is a form of research collaboration involving members of the public in scientific research projects to address real-world problems. Often organized as a virtual collaboration, these projects are a type of open movement, with collective goals addressed through open participation in research tasks. We conducted a survey of citizen science projects to elicit multiple aspects of project design and operation. We then clustered projects based on the tasks performed by participants and on the projects stated goals. The clustering results group projects that show similarities along other dimensions, suggesting useful divisions of the projects.

Social dynamics of FLOSS team communication across channels

This paper extends prior investigation into the social dynamics of free and open source (FLOSS) teams by examining the methodological questions arising from research using social network analysis on open source projects. We evaluate the validity of data sampling by examining dynamics of communication centralization, which vary across multiple communication channels. We also introduce a method for intensity-based smoothing in dynamic social network analysis.

Reclassifying success and tragedy in FLOSS projects

This paper presents the results of a replication of English & Schweik’s 2007 paper classifying FLOSS projects according to their stage of growth and indicators of success. We recreated their analysis using a comparable data set from 2006. We also expanded upon the original results by analyzing data from an additional point in time and by applying different criteria for evaluating the rate of new software releases for sustainability of project activity. We discuss the points of convergence and divergence from the original work from these extensions of the classification and their implications for studying FLOSS development using archival data. The paper contributes new analysis of operationalizing success in FLOSS projects, with discussion of implications of the findings.

Heartbeat: Measuring Active User Base and Potential User Interest in FLOSS Projects

This paper presents a novel method and algorithm to measure the size of an open source project’s user base and the level of potential user interest that it generates. Previously unavailable download data at a daily resolution confirms hypothesized patterns related to release cycles. In short, regular users rapidly download the software after a new release giving a way to measure the active user base. In contrast, potential new users download the application independently of the release cycle, and the daily download figures tend to plateau at this rate when a release has not been made for some time. An algorithm for estimating these measures from download time series is demonstrated and the measures are examined over time in two open source projects.