Through the NSF Innovation Corps for Learning Program, (I-Corps L), this project will develop ways to enable the SciStarter program to extend the promise of citizen science by connecting millions of citizen scientists with scientists in need of their help through formal and informal research projects. Citizen science is a fast growing field that engages the public in scientific inquiry through data collection projects and environmental monitoring using sensors, mini spectrometers, water testing kits and other tools. A challenge for the citizen science community has been access to the tools required to collect the types of data needed in citizen science projects. SciStarter facilitates broader participation in citizen science by reducing the barrier for volunteers to identify, acquire, and use the right scientific tools and instruments for each project. This I-Corps for Learning project will develop approaches to enable SciStarter to provide a larger number of citizen scientists with easier access to required and recommended instruments needed for meaningful participation in citizen science projects.
SciStarter aims to provide a holistic solution to the needs of citizen scientists that includes projects, support, and products such as training materials and consulting. SciStarter can be a catalyst in citizen science by connecting people to opportunities to engage and in lowering barriers to public participation in scientific research while creating a hybrid academic-consumer sustainability model. A central focus of this current effort will be establishing a sustainable and scalable means of enabling citizen scientists to obtain equipment and instruments in an efficient and cost-effective manner. The project will make use of elements already in place to expand the engagement of citizen scientists in new or multiple projects, to empower citizens in the process of citizen science, and to provide a useful, scalable and sustainable solution for scientists leading citizen science research projects. The extension of SciStarter will set the stage for greater inclusion of previously marginalized groups in citizen science activities and will extend to all forms of public engagement in science.
As part of its National Science Foundation (NSF) grant, the Conservation Trust of Puerto Rico (the Trust) hired Randi Korn & Associates, Inc. (RK&A) to evaluate its Citizen Science Project. The goal of the study was to measure the project’s success against an Impact Framework, the organizing framework NSF requires for evaluation. During the life of the project, an Impact Framework serves several functions, including to (1) articulate the project goals for the NSF proposal; (2) act as a roadmap for the Trust to align project practices with the impact it intends to achieve on specific
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative resources for use in a variety of settings. This Research in Service to Practice project will examine how a wide range of pre-college out-of-school-time activities facilitate or hinder females' participation in STEM fields in terms of interest, identity, and career choices. The study will address the ongoing problem that, despite females' persistence to degree once declaring a major in college, initially fewer females than males choose a STEM career path. To uncover what these factors might be, this study will look at the extent to which college freshmen's pre-college involvement in informal activities (e.g., science clubs, internships, shadowing of STEM professionals, museum-going, engineering competitions, citizen science pursuits, summer camps, and hobbies) is associated with their career aspirations and avocational STEM interests and pursuits. While deep-seated factors, originating in culture and gender socialization, sometimes lower females' interest in STEM throughout schooling, this study will examine the degree to which out-of-school-time involvement ameliorates the subtle messages females encounter about women and science that can interfere with their aspiration to a STEM careers.
The Social Cognitive Career Theory will serve as the theoretical framework to connect the development of interest in STEM with students' later career choices. An epidemiological approach will be used to test a wide range of hypotheses garnered from a review of relevant literature, face-to-face or telephone interviews with stakeholders, and retrospective online surveys of students. These hypotheses, as well as questions about the students' demographic background and in-school experiences, will be incorporated into the main empirical instrument, which will be a comprehensive paper-and-pencil survey to be administered in classes, such as English Composition, that are compulsory for both students with STEM interests and those without by 6500 students entering 40 large and small institutions of higher learning. Data analysis will proceed from descriptive statistics, such as contingency tables and correlation matrices, to multiple regression and hierarchical modeling that will link out-of-school-time experiences to STEM interest, identity, and career aspirations. Factor analysis will be used to combine individual out-of-school activities into indices. Propensity score weighting will be used to estimate causal effects in cases where out-of-school-time activities may be confounded with other factors. The expected products will be scholarly publications and presentations. Results will be disseminated to out-of-school-time providers and stakeholders, educators, and educational researchers through appropriate-level journals and national meetings and conferences. In addition, the Public Affairs and Information Office of the Harvard-Smithsonian Center for Astrophysics will assist with communicating results through mainstream media. Press releases will be available through academic outlets and Op-Ed pieces for newspapers. The expected outcome will be research-based evidence about which types of out-of-school STEM experiences may be effective in increasing young females' STEM interests. This information will be crucial to educators, service providers, as well as policy makers who work toward broadening the participation of females in STEM.
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TEAM MEMBERS:
Roy GouldPhilip SadlerGerhard Sonnert
Citizen science engages members of the public in science. It advances the progress of science by involving more people and embracing new ideas. Recent projects use software and apps to do science more efficiently. However, existing citizen science software and databases are ad hoc, non-interoperable, non-standardized, and isolated, resulting in data and software siloes that hamper scientific advancement. This project will develop new software and integrate existing software, apps, and data for citizen science - allowing expanded discovery, appraisal, exploration, visualization, analysis, and reuse of software and data. Over the three phases, the software of two platforms, CitSci.org and CyberTracker, will be integrated and new software will be built to integrate and share additional software and data. The project will: (1) broaden the inclusivity, accessibility, and reach of citizen science; (2) elevate the value and rigor of citizen science data; (3) improve interoperability, usability, scalability and sustainability of citizen science software and data; and (4) mobilize data to allow cross-disciplinary research and meta-analyses. These outcomes benefit society by making citizen science projects such as those that monitor disease outbreaks, collect biodiversity data, monitor street potholes, track climate change, and any number of other possible topics more possible, efficient, and impactful through shared software.
The project will develop a cyber-enabled Framework for Advancing Buildable and Reusable Infrastructures for Citizen Science (Cyber-FABRICS) to elevate the reach and complexity of citizen science while adding value by mobilizing well-documented data to advance scientific research, meta-analyses, and decision support. Over the three phases of the project, the software of two platforms, CitSci.org and CyberTracker, will be integrated by developing APIs and reusable software libraries for these and other platforms to use to integrate and share data and software. Using participatory design and agile methods over four years, the project will: (1) broaden the inclusivity, accessibility, and reach of citizen science; (2) elevate the value and rigor of citizen science software and data; (3) improve interoperability, usability, scalability and sustainability of citizen science software and data; and (4) mobilize data to allow cross-disciplinary research and meta-analyses. These outcomes benefit society by making citizen science projects and any number of other possible topics more possible, efficient, and impactful through shared software and data. Adoption of Cyber-FABRICS infrastructure, software, and services will allow anyone with an Internet or cellular connection, including those in remote, underserved, and international communities, to contribute to research and monitoring, either independently or as a team. This project is also being supported by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments.
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TEAM MEMBERS:
Gregory NewmanLouis LiebenbergStacy LynnMelinda Laituri
CSA’s Education Working Group has taken on as its mission to enable, inspire, investigate, and facilitate effective integration of scientific and educational goals, practices, and outcomes in citizen science. We offer the Citizen Science Association community the following vision for what learning, and benefit to learners, is possible through participation in citizen science.
For many, citizen science is exciting because of the possibility for more diverse, equitable partnerships in scientific research with outcomes considered meaningful and useful by all, including public participants. This was the focus of a symposium we organized at the 2015 conference of the Citizen Science Association. Here we synthesize points made by symposium participants and our own reflections. Professional science has a participation problem that is part of a larger equity problem in society. Inequity in science has negative consequences including a failure to address the needs and goals
Citizen science is an important way of engaging a broad range of audiences in science inquiry by participating in research that asks novel questions and unearths new knowledge and new questioning. Though citizen science projects are quite diverse in their scientific pursuits, all projects share the common element of involving volunteers directly in some aspect of science inquiry. Thus, it is essential for citizen science projects to determine their participants’ capacity to learn and successfully perform science inquiry skills, such as making scientific observations, collecting and analyzing
This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).
Scientists and researchers from fields as diverse as oceanography and ecology, astronomy and classical studies face a common challenge. As computer power and technology improve, the sizes of data sets available to us increase rapidly. The goal of this project is to develop a new methodology for using citizen science to unlock the knowledge discovery potential of modern, large data sets. For example, in a previous project Galaxy Zoo, citizen scientists have already made major contributions, lending their eyes, their pattern recognition skills and their brains to address research questions that need human input, and in so doing, have become part of the computing process. The current Galaxy Zoo project has recruited more than 200,000 participants who have provided more than 100 million classifications of galaxies from the Sloan Digital Sky Survey. This project builds upon early successes to develop a mode of citizen science participation which involves not only simple "clickwork" tasks, but also involves participants in more advanced modes of scientific thought. As part of the project, a symbiotic relationship with machine learning tools and algorithms will be developed, so that results from citizen scientists provide a rich training set for improving algorithms that in turn inform citizen science modes of participation. The first phase of the project will be to develop a portfolio of pilot projects from astrophysics, planetary science, zoology, and classical studies. The second phase of the project will be to develop a framework - called the Zooniverse - to facilitate citizen scientists. In particular, research and machine-learning communities will be engaged to identify suitable projects and data sets to integrate into Zooniverse.
The ultimate goal with the Zooniverse is to create a sustainable future for large-scale, internet-based citizen science as part of every researcher?s toolkit, exemplifying a new paradigm in computational thinking, tapping the mental resources of a community of lay people in an innovative and complex manner that promises a profound impact on our ability to generate new knowledge. The project will engage thousands of citizens in authentic science tasks leading to a better public understanding of science and also, by the engagement of students, leading to interest in scientific careers.
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TEAM MEMBERS:
Geza GyukPamela GayChristopher LintottMichael RaddickLucy FortsonJohn Wallin
The field of citizen science is growing with breathtaking speed. Thousands of citizen science projects are now under way around the world, engaging millions of individuals in the process of scientific discovery. In the US, citizen science has been featured at the White House and the federal government has launched a website to showcase federally funded citizen science projects (citizenscience.gov). The largest research and innovation funding program in the European Union, Horizon 2020, is investing heavily in citizen science to tackle societal problems. The Australian government has published
This introduction presents the essays belonging to the JCOM special issue on User-led and peer-to-peer science. It also draws a first map of the main problems we need to investigate when we face this new and emerging phenomenon. Web tools are enacting and facilitating new ways for lay people to interact with scientists or to cooperate with each other, but cultural and political changes are also at play. What happens to expertise, knowledge production and relations between scientific institutions and society when lay people or non-scientists go online and engage in scientific activities? From
Over the past decades there has been an increasing recognition of the need to promote dialogue between science and society. Often this takes the form of formal processes, such as citizen’s juries, that are designed to allow the public to contribute their views on particular scientific research areas. But there are also many less formal mechanisms that promote a dialogue between science and society. This editorial considers science festivals and citizen science in this context and argues that we need a greater understanding of the potential impacts of these projects on the individuals involved
Citizen Science has become an umbrella term for a variety of forms of public participation in scientific research. This participation ranges from data gathering to more collaborative and community-led forms. Distinct national and cultural traditions shape how and in what fields nonscientists get involved with scientific projects. While public participation is not new, the recent trend to label many activities as “Citizen Science” raises important questions: Who brings what to Citizen Science projects? What relationships develop between experts, communities and policymakers? Where is the line
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TEAM MEMBERS:
Simone RoedderGeoffrey Haines-StilesBruce LewensteinYaela GolumbicAyelet Baram TsabariClaudia GoebelLisa PettiboneEmma WeitkampMuseum für Naturkunde Berlin, Leibniz Institute für Evolution and Biodiversity Science