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
On August 21, 2017, a total solar eclipse will traverse the United States from Oregon to South Carolina. Millions of Americans will witness totality, in which the Moon completely blocks the Sun, and over 500 million people across North America will experience a partial eclipse. In this project, the American Astronomical Society (AAS) will forge an umbrella organization consisting of an eclipse project manager, a centralized website of resources, and a mini-grants program to coordinate and facilitate local and national activities that will educate the public about the science of this rare event. The project will leverage this fascinating display of beauty to engage as many people as possible in the endeavor of science.
This project will involve scientists, educators, and amateur and professional eclipse observers in developing extensive plans for unique outreach activities to reach a significant fraction of the diverse U.S. population. The goal is to use the eclipse, which will generate significant media attention, to educate a broad audience about the associated science and to encourage young people from widely diverse backgrounds to pursue careers in science. Special emphasis will be placed on citizen science projects and on educational activities targeting groups that are underrepresented in STEM disciplines. A mini-grants program will be established to fund efforts specifically targeting underrepresented groups in order to increase their participation. The evaluation plan will focus on the utilization of the materials on the website and the learning gains of participants in specific activities funded by the mini-grants. All lessons learned will be collated in a publicly available formal report and will lay the groundwork for a strategic plan to fully capitalize on the next U.S.-based solar eclipse in 2024. Because this project aligns well with the objectives of multiple NSF directorates, this award is co-funded by the Division of Undergraduate Education and the Division of Research on Learning in the Directorate for Education and Human Resources; the Division of Astronomical Sciences in the Directorate for Mathematical and Physical Sciences; and the Division of Atmospheric and Geospace Sciences in the Directorate for Geosciences.
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TEAM MEMBERS:
Kevin MarvelAngela SpeckShadia HabbalRichard Fienberg
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
In reflecting on what Pathway to Biotrails (“Biotrails”) learned about informal science learning, it is clear in hindsight that the project evolved into an exploration of how the important new technology of DNA-assisted species identification (“DNA barcoding”) might add value to learning in a variety of models for citizen science participant engagement. This was not the project’s initial design. But it seems to me that this “evolved” design was particularly appropriate for an exploratory, Pathways project focused on increasing our understanding of how a groundbreaking new technology might
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
The rapid growth of the natural gas extraction industry in Pennsylvania and neighboring states has stirred concerned citizens to seek ways to collect data on water quality impacts from the extraction activities. As a response to requests from community members, the Alliance for Aquatic Resource Monitoring (ALLARM) developed a volunteer-friendly protocol in 2010 for early detection and reporting of surface water contamination by shale gas extraction activities in small streams. To date, ALLARM has trained more than 2,000 volunteers in Pennsylvania, New York, and West Virginia to monitor water
Citizen science has the potential to provide participants with information about conservation issues and to encourage additional conservation actions. In this case study, we describe the current state of conservation education among butterfly citizen science projects in the United States. To determine the extent to which these citizen science projects are promoting an understanding of, and engagement in, conservation among their participants, we used an online questionnaire to census project leaders and assessed their websites for the presence of educational conservation information. We found
Citizen science has the potential to provide participants with information about conservation issues and to encourage additional conservation actions. In this case study, we describe the current state of conservation education among butterfly citizen science projects in the United States. To determine the extent to which these citizen science projects are promoting an understanding of, and engagement in, conservation among their participants, we used an online questionnaire to census project leaders and assessed their websites for the presence of educational conservation information. We found
The discovery of a class of galaxies called Green Peas provides an example of scientific work done by volunteers. This unique situation arose out of a science crowdsourcing website called Galaxy Zoo. It gave the ability to investigate the research process used by the volunteers. The volunteers’ process was analyzed in terms of three models of scientific research and an iterative work model to show the path to this discovery. As has been illustrated in these models of science, the path was iterative, not predetermined, and driven by empirical data. This paper gives a narrative of the 11-month
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