Citizen science (CS) terms the active participation of the general public in scientific research activities. With increasing amounts of information generated by citizen scientists, best practices to go beyond science communication and publish these findings to the scientific community are needed. This letter is a synopsis of authors' personal experiences when publishing results from citizen science projects in peer-reviewed journals, as presented at the Austrian Citizen Science Conference 2018. Here, we address authors' selection criteria for publishing CS data in open-access, peer-reviewed
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TEAM MEMBERS:
Gabriele GadermaierDaniel DorlerFlorian HeiglStefan MayrJohannes RudisserRobert BrodschneiderChristine Marizzi
Modern science communication has emerged as a field of study, a body of practice and a profession. In the last 60 years, we have seen the birth of interactive science centres, university courses, the first research into science communication, and a growth in employment by research institutions, universities, museums, science centres and industry. Now Ireland has told its story.
Effective science communication can empower research and innovation systems to address global challenges and put public interests at the heart of how knowledge is produced, shared, and applied. For science communication to play this mediating role effectively, we propose a more integrated and “evidence-based” approach. This commentary identifies key issues facing the science communication field. It suggests a series of prescriptions, inspired by the impact of “evidence-based medicine” over the past decades. In practice, evidence-based science communication should combine professional expertise
Exploratorium’s The Phenomenal Genome: Evolving Public Understanding of Genetics in the Post-Mendelian Era project addresses the increasing need to develop genomic literacy in the public at large. The explosion of genomics research over the past two decades has led to an increasingly complex picture of the determinants of human health and human phenotypes, and the applications of this research are now making their way into the clinic, the media, and the hands of consumers. The goal of this project is to create a model for increasing genomic literacy through Informal Science Education programming (ISE), creating a pathway for better decision making for the health of individuals and society at large. The Phenomenal Genome focuses on general science museum visitors and teachers of middle and high school students.
The core of the Exploratorium’s approach to science education is the creation of intriguing, provocative and investigable phenomena that are experienced directly and personally through exhibits, facilitated explorations, programs, and teacher professional development. Over two years, we will develop, test, and iterate inquiry-based professional development to help teachers develop understanding and integrate the principles of contemporary genomics and genetics into their classrooms. 120 middle and high school teachers will be served during this period, and many more beyond that, as the activities and workshops developed become a regular part of our teacher professional development programming. A learning scientist specializing in teacher learning will conduct research to determine which approaches and experiences are most effective for this context, and why.
In a parallel process, we will develop and test exhibits and experiences on the museum floor for museum visitors, using a similar iterative process of prototype testing with an embedded learning scientist to study visitor learning. We plan to define the approaches that work across audiences and contexts, as well as those that work best in particular contexts.
Through this work, we will develop new resources for teaching and learning contemporary genomics and genetics, and identify promising practices in communicating contemporary genomics and genetics in informal spaces across audiences. We will disseminate our findings via conferences, peer-reviewed articles, and workshops for the ISE community.
This video presents reflections on SCIENCES: Supporting a Community’s Informal Education Needs—Confidence and Empowerment in STEM. SCIENCES brought together Eden Place Nature Center and the Chicago Zoological Society to collaboratively support environmental conservation and lifelong scientific learning in the Fuller Park neighborhood of Chicago.
The SCIENCES project began in 2013 and focused on adapting existing educational programs into a suite of environmentally focused science learning opportunities for professional, student, and public audiences in the Fuller Park neighborhood
The summative evaluation documents and articulates what SCIENCES has improved or changed, and in what ways. The final design of the summative evaluation was based on findings from the front-end and formative evaluations, including using participatory evaluation techniques to engage community members in discussing their experience with the programs and assessment of community needs and assets at the close of the project.
The goal of the summative evaluation was to address discrete program impacts in the context of the project, as well as the cross-program impact of providing a thematically
In The Nature of Community: SCIENCES, we share the lessons learned from an innovative partnership designed to leverage the strengths of two nonprofit organizations—a large cultural institution and a smaller, deeply-rooted community-based organization, both of which offer informal science education expertise.
You’ll read first-hand reflections of how staff members, community leaders and members, children, and adults experienced this partnership: the expectations, surprises, challenges, successes, and lessons learned. We hope the description of this partnership inspires other organizations to
The characteristics of interaction and dialogue implicit in the Web 2.0 have given rise to a new scenario in the relationship between science and society. The aim of this paper is the development of an evaluation tool scientifically validated by the Delphi method that permits the study of Internet usage and its effectiveness for encouraging public engagement in the scientific process. Thirty four indicators have been identified, structured into 6 interrelated criteria conceived for compiling data that help to explain the role of the Internet in favouring public engagement in science.
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TEAM MEMBERS:
Lourdes LopezMaria Dolores Olvera-Lobo
This INSPIRE award is partially funded by the Cyber-Human Systems Program in the Division of Information and Intelligent Systems in the Directorate for Computer Science and Engineering, the Gravitational Physics Program in the Division of Physics in the Directorate for Mathematical and Physical Sciences, and the Office of Integrative Activities.
This innovative project will develop a citizen science system to support the Advanced Laser Interferometer Gravitational wave Observatory (aLIGO), the most complicated experiment ever undertaken in gravitational physics. Before the end of this decade it will open up the window of gravitational wave observations on the Universe. However, the high detector sensitivity needed for astrophysical discoveries makes aLIGO very susceptible to noncosmic artifacts and noise that must be identified and separated from cosmic signals. Teaching computers to identify and morphologically classify these artifacts in detector data is exceedingly difficult. Human eyesight is a proven tool for classification, but the aLIGO data streams from approximately 30,000 sensors and monitors easily overwhelm a single human. This research will address these problems by coupling human classification with a machine learning model that learns from the citizen scientists and also guides how information is provided to participants. A novel feature of this system will be its reliance on volunteers to discover new glitch classes, not just use existing ones. The project includes research on the human-centered computing aspects of this sociocomputational system, and thus can inspire future citizen science projects that do not merely exploit the labor of volunteers but engage them as partners in scientific discovery. Therefore, the project will have substantial educational benefits for the volunteers, who will gain a good understanding on how science works, and will be a part of the excitement of opening up a new window on the universe.
This is an innovative, interdisciplinary collaboration between the existing LIGO, at the time it is being technically enhanced, and Zooniverse, which has fielded a workable crowdsourcing model, currently involving over a million people on 30 projects. The work will help aLIGO to quickly identify noise and artifacts in the science data stream, separating out legitimate astrophysical events, and allowing those events to be distributed to other observatories for more detailed source identification and study. This project will also build and evaluate an interface between machine learning and human learning that will itself be an advance on current methods. It can be depicted as a loop: (1) By sifting through enormous amounts of aLIGO data, the citizen scientists will produce a robust "gold standard" glitch dataset that can be used to seed and train machine learning algorithms that will aid in the identification task. (2) The machine learning protocols that select and classify glitch events will be developed to maximize the potential of the citizen scientists by organizing and passing the data to them in more effective ways. The project will experiment with the task design and workflow organization (leveraging previous Zooniverse experience) to build a system that takes advantage of the distinctive strengths of the machines (ability to process large amounts of data systematically) and the humans (ability to identify patterns and spot discrepancies), and then using the model to enable high quality aLIGO detector characterization and gravitational wave searches
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TEAM MEMBERS:
Vassiliki KalogeraAggelos KatsaggelosKevin CrowstonLaura TrouilleJoshua SmithShane LarsonLaura Whyte
This study examines the relative efficacy of citizen science recruitment messages appealing to four motivations that were derived from previous research on motives for participation in citizen-science projects. We report on an experiment (N=36,513) that compared the response to email messages designed to appeal to these four motives for participation. We found that the messages appealing to the possibility of contributing to science and learning about science attracted more attention than did one about helping scientists but that one about helping scientists generated more initial
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TEAM MEMBERS:
Tae Kyoung LeeKevin CrowstonMahboobeh HarandiCarsten ØsterlundGrant Miller
This zine summarizes the book "Equity, Exclusion and Everyday Science Learning." It provides an accessible graphic introduction to how inequalities in everyday science learning happen, so that we can get to a place where everyday science learning practices could disrupt and transform social inequities rather than reproducing them.
Feminist technoscience theory offers perspectives for science communication that both question common narratives and suggests new narratives. These perspectives emphasize issues of ethics and care often missing from science communication. They focus on questions of what is marginalized or left out of stories about science — and encourage us to make those absences visible.