Climate change is a global risk as its causes and effects are not limited to national borders, but the risks and the responsibility are not evenly spread [Beck, 2009]. Pakistan is facing especially severe impacts in the form of disasters, floods, droughts, rising temperatures, cyclones and rising sea levels due to global emissions, despite its national emissions being nominal and accounting for only 0.46% of worldwide emissions [World Bank, 2018]. Ironically, the level of public awareness of climate change is low in Pakistan compared to not only advanced countries, but also to other countries
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
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 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
Twin Cities PBS BRAINedu: A Window into the Brain/Una ventana al cerebro, is a national English/Spanish informal education project providing culturally competent programming and media resources about the brain’s structure and function to Hispanic middle school students and their families. The project responds to the need to eliminate proven barriers to Hispanic students’ STEM/neuroscience education, increase Hispanic participation in neuroscience and mental health careers and increase Hispanic utilization of mental health resources.
The program’s goals are to engage Hispanic learners and families by
empowering informalSTEM educators to provide culturally competent activities about the brain’s structure and function;
demonstrating neuroscience and mental health career options; and
reducing mental health stigma, thus increasing help-seeking behavior.
The hypothesis underpinning BRAINedu’s four-year project plan is that participating Hispanic youth and families will be able to explain how the brain works and describe specific brain disorders; demonstrate a higher level of interest of neuroscience and mental health careers and be more willing to openly discuss and seek support for brain disorders and mental health conditions.
To achieve program goals, Twin Cities PBS (TPT) will leverage existing partnerships with Hispanic-serving youth educational organizations to provide culturally competent learning opportunities about brain health to Hispanic students and families. TPT will partner with neuroscience and mental health professionals, cultural competency experts and Hispanic-serving informal STEM educators to complete the following objectives:
Develop bilingual educational resources for multigenerational audiences;
Provide professional development around neuroscience education to informal educators, empowering them to implement programming with Hispanic youth and families, and
Develop role model video profiles of Hispanic neuroscience professionals, and help partner organizations produce autobiographical student videos.
We will employ rigorous evaluation strategies to measure the project’s impact on Hispanic participants: a) understanding of neuroscience and brain health, particularly around disorders that disproportionately affect the Hispanic community; b) motivation to pursue neuroscience or mental health career paths; and c) mental health literacy and help-seeking behavior. The project will directly reach 72 Hispanic-serving informal STEM educators and public health professionals, and 200 children and 400 parents in underserved urban, suburban and rural communities nationwide.
Fostering greater inclusion in science creates benefits for both science and society. In this Innovations and Development project, the University of Utah will investigate how to sustain and scale the STEM Ambassador Program (STEMAP), begun in 2016 with AISL funding. STEMAP developed an innovative process to train scientists to engage members of the public, who cannot or do not gain access to science via conventional science education venues (such as museums, schools, zoos), by implementing activities in non-traditional settings. The 65 scientists trained by the initial STEMAP effort effectively engaged in over 45 settings including an affordable housing development, a youth residential treatment center, a state prison, a cooking class, a daycare facility, and several senior centers. The number of scientists applying to the program quickly exceeded STEMAP's capacity. Other institutions expressed interest in replicating the training. This project will explore strategies for scaling and sustaining public engagement training to support more scientists who can engage more people in more venues. Outcomes will serve to inform the broader implementation of STEMAP and the efforts of other public engagement programs, many of which face similar scaling and sustainability challenges.
Scaling and sustaining public engagement of science (PES) programs is a central challenge for many in the informal science learning community. This project will explore strategies to scale and sustain the STEM Ambassador Program. Research questions include: (1) How do different program formats increase or restrict program capacity and engagement outcomes? (2) What benefits accrue to scientists and their institutions by participating in public engagement in science activities that might serve as motivators to continue these activities? (3) Are funding and organizational models developed in business and other professional settings applicable to sustaining these programs? To address scalability, this project will explore the effectiveness of three dissemination formats: (1) the creation of a mentorship program for in-person trainees, (2) a train-the-trainer approach, and (3) online training with in-person mentorship. The project team will create an evaluation toolkit with participant surveys, rubrics for observers, and "on-the-spot" assessment tools developed under AISL Award 1811022 to assess the effectiveness of engagement activities delivered by trainees in each of the three formats. To address sustainability, the project team will document the values of public engagement training to both the participating scientists and their institutions via surveys and interviews. Consultants from the business sectors will create a PES Campus Council to explore possible financial, organizational, and leadership plans that will help sustain engagement efforts. Outcomes will be published in peer-reviewed journals and compiled into a dissemination framework to inform actions to scale and sustain STEMAP and other public engagement of science programs to engage more hard-to-reach audiences. Inverness Research will serve as the project's external evaluator.
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
This Research Advanced by Interdisciplinary Science and Engineering (RAISE) project is supported by the Division of Research on Learning in the Education and Human Resources Directorate and by the Division of Computing and Communication Foundations in the Computer and Information Science and Engineering Directorate. This interdisciplinary project integrates historical insights from geometric design principles used to craft classical stringed instruments during the Renaissance era with modern insights drawn from computer science principles. The project applies abstract mathematical concepts toward the making and designing of furniture, buildings, paintings, and instruments through a specific example: the making and designing of classical stringed instruments. The research can help instrument makers employ customized software to facilitate a comparison of historical designs that draws on both geometrical proofs and evidence from art history. The project's impacts include the potential to shift in fundamental ways not only how makers think about design and the process of making but also how computer scientists use foundational concepts from programming languages to inform the representation of physical objects. Furthermore, this project develops an alternate teaching method to help students understand mathematics in creative ways and offers specific guidance to current luthiers in areas such as designing the physical structure of a stringed instrument to improve acoustical effect.
The project develops a domain-specific functional programming language based on straight-edge and compass constructions and applies it in three complementary directions. The first direction develops software tools (compilers) to inform the construction of classical stringed instruments based on geometric design principles applied during the Renaissance era. The second direction develops an analytical and computational understanding of the art history of these instruments and explores extensions to other maker domains. The third direction uses this domain-specific language to design an educational software tool. The tool uses a calculative and constructive method to teach Euclidean geometry at the pre-college level and complements the traditional algebraic, proof-based teaching method. The representation of instrument forms by high-level programming abstractions also facilitates their manufacture, with particular focus on the arching of the front and back carved plates --- of considerable acoustic significance --- through the use of computer numerically controlled (CNC) methods. The project's novelties include the domain-specific language itself, which is a programmable form of synthetic geometry, largely without numbers; its application within the contemporary process of violin making and in other maker domains; its use as a foundation for a computational art history, providing analytical insights into the evolution of classical stringed instrument design and its related material culture; and as a constructional, computational approach to teaching geometry.
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
Polar Literacy: A model for youth engagement and learning will foster public engagement with polar science. The project targets middle-school aged underserved youth and polar research scientists, with the goal to increase youth interest in and understanding of Polar Regions, and to hone researchers' science communication skills. The project will develop affordable and replicable ways of bringing polar education to informal learning environments, extend our understanding of how polar education initiatives can be delivered to youth with maximum effect, and design a professional development model to improve the capacity for Polar Region researchers to craft meaningful broader impact activities. Polar Literacy will create and test a model which combines direct participation by scientists in after-school settings, with the use of curated polar research data sets and data visualization tools to create participatory learning experiences for youth. Beyond the life of the project funding, many of the project deliverables (including kits, videos, and other resources) will continue to be used and disseminated online and in person through ongoing work of project collaborators.
Polar Literacy: A model for youth engagement and learning will advance the understanding of informal learning environments while leveraging the rich interdisciplinary resources from polar investments made by the National Science Foundation (NSF). The project's key audiences -- polar researchers, informal educators, and out-of-school time (OST) youth in grades 4-7 (ages 9-13) -- will connect through both place-based and internet-based experiences and work collaboratively to generate a flexible, scalable, and transferable education model. The project will 1) design OST kits and resource guides (focused on Polar Literacy Principles) and include "Concept in a Minute" videos designed to highlight enduring ideas, 2) provide professional development for informal educators, 3) synthesize a club model through adaptation of successful facets of existing informal learning programs, and 4) create Data Jam events for the OST Special Interest (SPIN) clubs and camp programs by modifying an existing formal education model. A research design, implemented at four nodes over three years, will answer three research questions to evaluate the impact of professional development on informal educators, as well as the impact of programs on youth, and the effectiveness of the model. In addition to the project team and collaborators who are informal education practitioners, an advisory board composed of experts in youth programming, informal education, and evaluation will guide the project to ensure that it advances the body of informal STEM learning research.
Polar Literacy is an Advancing Informal STEM Learning (AISL) Innovations in Development project in response to the Dear Colleague Letter: Support for Engaging Students and the Public in Polar Research (NSF 18-103). Polar Literacy is funded 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 (Science, Technology, Engineering, Mathematics) learning in informal environments. This project has co-funding support from the Antarctic section of the Office of Polar Programs.
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
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TEAM MEMBERS:
Janice McDonnellOscar SchofieldCharles LichtenwalnerJason Cervenec
Increasingly, scientists and their institutions are engaging with lay audiences via media. The emergence of social media has allowed scientists to engage with publics in novel ways. Social networking sites have fundamentally changed the modern media environment and, subsequently, media consumption habits. When asked where they primarily go to learn more about scientific issues, more than half of Americans point to the Internet. These online spaces offer many opportunities for scientists to play active roles in communicating and engaging directly with various publics. Additionally, the proposed research activities were inspired by a recent report by the National Academies of Sciences, Engineering, and Medicine that included a challenge to science communication researchers to determine better approaches for communicating science through social media platforms. Humor has been recommended as a method that scientists could use in communicating with publics; however, there is little empirical evidence that its use is effective. The researchers will explore the effectiveness of using humor for communicating about artificial intelligence, climate science and microbiomes.
The research questions are: How do lay audiences respond to messages about scientific issues on social media that use humor? What are scientists' views toward using humor in constructing social media messages? Can collaborations between science communication scholars and practitioners facilitate more effective practices? The research is grounded in the theory of planned behavior and framing as a theory of media effects. A public survey will collect and analyze data on Twitter messages with and without humor, the number of likes and re-tweets of each message, and their scientific content. Survey participants will be randomly assigned to one of twenty-four experimental conditions. The survey sample, matching recent U.S. Census Bureau data, will be obtained from opt-in panels provided by Qualtrics, an online market research company. The second component of the research will quantify the attitudes of scientists toward using humor to communicate with publics on social media. Data will be collected from a random sample of scientists and graduate students at R1 universities nationwide. Data will be analyzed using descriptive statistics and regression modeling.
The broader impacts of this project are twofold: findings from the research will be shared with science communication scholars and trainers advancing knowledge and practice; and an infographic (visual representation of findings) will be distributed to practitioners who participate in research-practice partnerships. It will provide a set of easily-referenced, evidence-based guidelines about the types of humor to which audiences respond positively on social media.
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
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TEAM MEMBERS:
Sara YeoLeona Yi-Fan SuMichael Cacciatore
This four-year research study will investigate families' joint media engagement (JME) and informal STEM learning while listening to the child-focused STEM podcast, Brains On! Prior research has shown that the setting where families most often listen to this podcast together is the family automobile as children are being driven to school, on road trips, or other activities. Brains On! is rooted in the mission-driven principle of public radio to educate and inspire. The target audience is children 5-12 years old and their parents or caregivers. Each episode ranges from 20-45 minutes in length and presents ideas from a variety of STEM disciplines such as physics, chemistry, biology and engineering featuring sound-rich explanations of concepts through fun skits, original songs and interviews with scientists. The episodes use a light-hearted, humorous approach to share oftentimes complex STEM information. To provide an interactive experience, hosts encourage the audience to participate with the show by sending in drawings, emailing photos of plants and animals, or posing questions to be answered in future episodes. Every episode is co-hosted by a different child who interviews top scientists about their work. The scientists are selected to be representative of the range of topics presented and are meant to serve as role models for the listeners and demonstrating a wide range of career options in the STEM field.
The research adds to the social learning theory of joint media engagement (JME) which has shown that interactions between people sharing a media experience can result in learning together. Recent work on Joint Media Engagement has focused on parent/child interactions with television/video in the home. But little is known about how families engage with children's STEM podcasts together and what learning interactions occur as a result. Even less is known about this engagement within an automobile setting. This research project will build new knowledge filling a gap in the informal STEM learning field. It will use a mixed-methods research design with three phases of research to answer these questions: 1) How does the Brains On! podcast mediate STEM-based joint media engagement and family learning in an automobile setting? 2) What does STEM based joint media engagement and family learning look and sound like in this setting? 3) How do "in-automobile" factors foster or impede STEM-based joint media engagement and family learning? Phase 1 is a listener experience video study of 30 families listening to the Brains On! episodes. Phase 2 is video-based case studies of the natural automobile-based listening behaviors of eight Phase 1 families. Phase 3 is an online survey of Brains On! listeners to understand how representative the findings from Phases 1 and 2 are to the larger Brains On! Research. Results will be shared widely with key audiences that can use the findings (media developers, ISE practitioners, ISE evaluators and researchers, and families). It will also make an important contribution to the Joint Media Engagement literature and the ISE field.
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
It is estimated that there could be 40 billion earth-sized planets orbiting in the habitable zones of stars in the Milky Way. Major advances in long range telescopes have allowed astronomers to identify thousands of exoplanets in recent decades, and the discovery of new exoplanets is a now a common occurrence. Public excitement for the discoveries grown alongside these discoveries, thus opening new possibilities for inspiring a new generation of scientists and engineers that may dream of one day visiting these planets. This project investigates the use of interactive, intelligent educational technologies to generate interest in STEM by allowing learners to explore and even create their own exoplanets. Research will occur across several informal learning contexts, including summer camps, after school programs, planetarium shows, and at home. The approach is based on the idea of "What if?"questions about Earth (e.g., "What if the Moon did not exist?"), designed to trigger interest in STEM and frame exploratory and elaborative discussions around hypothetical science questions that are subsequently linked to the search for habitable exoplanets. Learners are able to interact with and explore scientifically accurate simulations of alternative versions of Earth, while making observations and posing explanations for what they see. Technology-based informal learning experiences designed to act as triggers for and sustainment of interest in STEM have the potential to plug the leaky STEM pipeline, and thus have profound implications for the future of science and technology in the United States.
The project seeks to advance the science of designing technologies for promoting interest in STEM and informal astronomy education in several ways. First, the project will develop simulations for exploratory learning about astronomy and planetary science. These simulations will present hypothetical worlds based on what-if questions and feasible models of known exoplanets, thus giving learners a chance to better understand the challenges of finding a habitable world and learning about what is needed to survive there. Second, a new PBS NOVA Lab will be developed that will focus on Exoplanet education. This web-based activity has the potential to reach millions of learners and will help them understand how planets are formed and the requirements for supporting life. Learners who use the lab will have an opportunity to invent their own exoplanets and export them for first-person exploration. Third, researchers on the project will design and implement Artificial Intelligence-based pedagogical agents to support learning and promote interest. These agents will inhabit the simulations with the learner, acting as a coach and guide, and be designed to be culturally responsive and personalized based on learner preferences. Fourth, interactive exoplanet-focused planetarium shows, that will involve live interaction with simulations, will take place at the Fiske Planetarium (Boulder, CO). Finally, the project will develop a server-based infrastructure for tracking and supporting long term development of interest in STEM. This back-end will track fine-grained behaviors, including movement, actions, and communications in the simulations. Such data will reveal patterns about how interest develops, how learners engage in free-choice learning activities, and how they interact with agents and peers in computer simulations. A design-based research methodology will be employed to assess the power of these different experiences to trigger interest and promote learning of astronomy. A range of different pathways for interest in STEM will therefore be considered and assessed. Research will measure the power of these experiences to trigger interest in STEM and promote re-engagement over time. Innovation lies in the use of engaging and intelligent technologies with thought-provoking pedagogy as a method for extended engagement of diverse young learners in STEM. Project research and educational resources will be widely disseminated to researchers, designers developers and the general public via peer-reviewed research journals, conference presentations, informal STEM education networks of science museums, children's museums, Fab Labs, and planetariums, and public media such as public television's NOVA science program website.
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
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TEAM MEMBERS:
H Chad LaneNeil CominsJorge Perez-GallegoDavid Condon
A team of experts from five institutions (University of Minnesota, Adler Planetarium, University of Wyoming, Colorado State University, and UC San Diego) links field-based and online analysis capabilities to support citizen science, focusing on three research areas (cell biology, ecology, and astronomy). The project builds on Zooniverse and CitSci.org, leverages the NSF Science Gateways Community Institute, and enhances the quality of citizen science and the experience of its participants.
This project creates an integrated Citizen Science Cyberinfrastructure (CSCI) framework that expands the capacity of research communities across several disciplines to use citizen science as a suitable and sustainable research methodology. CSCI produces three improvements to the infrastructure for citizen science already provided by Zooniverse and CitSci.org:
Combining Modes - connecting the process of data collection and analysis;
Smart Assignment - improving the assignment of tasks during analysis; and
New Data Models - exploring the Data-as-Subject model. By treating time series data as data, this model removes the need to create images for classification and facilitates more complex workflows. These improvements are motivated and investigated through three distinct scientific cases:
Biomedicine (3D Morphology of Cell Nucleus). Currently, Zooniverse 'Etch-a-Cell' volunteers provide annotations of cellular components in images from high-resolution microscopy, where a single cell provides a stack containing thousands of sliced images. The Smart Task Assignment capability incorporates this information, so volunteers are not shown each image in a stack where machines or other volunteers have already evaluated some subset of data.
Ecology (Identifying Individual Animals). When monitoring wide-ranging wildlife populations, identification of individual animals is needed for robust estimates of population sizes and trends. This use case combines field collection and data analysis with deep learning to improve results.
Astronomy (Characterizing Lightcurves). Astronomical time series data reveal a variety of behaviors, such as stellar flares or planetary transits. The existing Zooniverse data model requires classification of individual images before aggregation of results and transformation back to refer to the original data. By using the Data-as-Subject model and the Smart Task Assignment capability, volunteers will be able to scan through the entire time series in a machine-aided manner to determine specific light curve characteristics.
The team explores the use of recurrent neural networks (RNNs) to determine automated learning architectures best suited to the projects. Of particular interest is how the degree to which neighboring subjects are coupled affects performance. The integration of existing tools, which is based on application programming interfaces (APIs), also facilitates further tool integration. The effort creates a citizen science framework that directly advances knowledge for three science use cases in biomedicine, ecology, and astronomy, and combines field-collected data with data analysis. This has the ability to solve key problems in the individual applications, as well as benefiting the research of the dozens of projects on the Zooniverse platform. It provides benefits to researchers using citizen scientists, and to the nearly 1.6 million citizen scientists themselves.
This award by the Office of Advanced Cyberinfrastructure is jointly supported by the Division of Research on Learning in Formal and Informal Settings, within the NSF Directorate for Education and Human Resources.
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.