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
While academic interest in science comics has been growing in recent years, the creators of these materials remain understudied. This research aimed to explore the experiences and views of science comic creators through the lens of science communication. Qualitative, semi-structured interviews were conducted with 14 science comic creators. Interviewees felt that the visual, narrative, permanent, and approachable qualities of comics made them particularly adept at explaining science and bringing it to new audiences. Science comic creators often had complex identities, occupying an ambiguous
The rise of artificial intelligence has recently led to bots writing real news stories about sports, finance and politics. As yet, bots have not turned their attention to science, and some people still mistakenly think science is too complex for bots to write about. In fact, a small number of insiders are now applying AI algorithms to summarise scientific research papers and automatically turn them into simple press releases and news stories. Could the science beat be next in line for automation, potentially making many science reporters --- and even editors --- superfluous to science
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.
The challenge to the science communication field put forward by Bruce Lewenstein, of the sector becoming a ‘ghetto’ of women's over-representation (see the commentary by Lewenstein in this issue), is a very timely wake-up call. This Commentary however, elaborates and frames the pivotal and constructivist premises on which this phenomenon should be interrogated and understood on many levels. It is critical that we undertake a deeper introspection, beyond just simplistic head counts of the number of women and men in the field, if we are to make sense of the seeming paradoxes that pervade the
This essay discusses how gender-focused culture change initiatives developed for science (like Athena SWAN) might offer models for science communication. Such initiatives can seek to mobilise change amongst university departments and practices, but there are also potential pitfalls in such approaches. Using experiences in a department at UWE Bristol as a basis, the article will consider whether such schemes in science offer potential for science communication to reflect on its own gender imbalances.
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TEAM MEMBERS:
Clare Wilkinson
resourceresearchProfessional Development, Conferences, and Networks
There is a significant under-representation of women in STEM which is damaging societal progress for democratic, utilitarian, and equity reasons. However, changing stereotypes in STEM requires a solution denied by the problem — more visible female role models. Science communicators are critical to curate the conditions to bypass this Catch 22. We propose that enhancing self-efficacy for female scientists and engineers to mentor others will generate more supportive workplaces. Similarly, enhancing self-efficacy for public engagement improves the visibility of diverse female role models for
This comment discusses feminization of science communication as a process that is related to the professionalization of the field, but also with the subordination of its practices to certain ideas of science that have described as androcentric. It argues that science communication can play an important role in questioning this subordination and contributing to democratizing science bringing gender diversity into it. For this, the comment presents the case of a Colombian transgender scientist whose public presence in media has being important to destabilize scientific subjectivities in the
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.
This commentary introduces feminist standpoint theory and discusses its potential value in science communication. It offers two ways in which feminist standpoints can help in both research and practice. First, science communicators should aim to understand the perspective from which they understand and share scientific knowledge. Second, practitioners and researchers alike should seek insights from marginalized groups to help inform the ways the dominant view of science reflects hegemonic social and cultural norms.
This handout was prepared for the Climate Change Showcase at the 2019 ASTC Conference in Toronto, Ontario. It highlights resources available on InformalScience.org related to the topic of climate change.