In this paper we investigate how people become engaged with open data, what their motivations are, and the barriers and facilitators program participants perceive with regard to using open data effectively.
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TEAM MEMBERS:
Jack ShanleyCamillia MatukOded NovGraham Dove
This project seeks to apply explainable artificial intelligence to the challenge of personalizing training for adult citizen scientists. The approach will be developed in the context of the Native Bee Watch (NBW) biodiversity monitoring project that began in 2016 at Colorado State University.
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TEAM MEMBERS:
Sarath SreedharanNikhil KrishnaswamyJill ZarestkyNathaniel Blanchard
resourceevaluationMuseum and Science Center Exhibits
The linked repository contains select resources from the SICIIT NSF project (Supporting Science and Engineering Identity Change in Immersive Interactive Technologies). The project did not reach its main objective, mainly due to disruptions caused by COVID, but we hope that the materials will be a useful resource for follow-up research.
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TEAM MEMBERS:
Stefan RankAyana AllenGlen MuschioAroutis FosterKapil Dandekar
Having a central scientific language remains crucial for advancing and globally sharing science. Nevertheless, maintaining one dominant language also creates barriers to accessing scientific careers and knowledge. From an interdisciplinary perspective, we describe how, when, and why to make scientific literature more readily available in multiple languages through the practice of translation. We broadly review the advantages and limitations of neural machine translation systems and propose that translation can serve as both a short- and a long-term solution for making science more resilient
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TEAM MEMBERS:
Emma SteigerwaldValeria Ramírez-CastañedaDébora Y C BrandtAndrás BáldiJulie Teresa ShapiroLynne BowkerRebecca D Tarvin
resourceprojectProfessional Development, Conferences, and Networks
Data science is ever-present in modern life. The need to learn with and about data science is becoming increasingly important in a world where the quantity of data is constantly growing, where one’s own data are often being harvested and marketed, where data science career opportunities are rapidly increasing, and where understanding statistics, data sources, and data representation is integral to understanding STEM and the world around us. Museums have the opportunity to play a critical role in introducing the public to data science concepts in ways that center personal relevance, social connections and collaborative learning. However, data science and statistics are difficult concepts to distill and provide meaningful engagement with during the brief learning experiences typical to science museums. This Pilot and Feasibility study brings together data scientists, data science educators, and museum exhibit designers to consider these questions:
What are the important data science concepts for the public to explore and understand in museum exhibits?
How can museum exhibits be designed to support visitors with diverse backgrounds and experiences to engage with these data science concepts?
What principles can shape these designs to promote broadening participation in data science specifically and STEM more broadly?
This Pilot and Feasibility project combines multidisciplinary expert convening, feasibility testing, and early exploratory prototyping around the focal topic of data science exhibits. Project partners, TERC, the Museum of Science, Boston, and The Tech Interactive in San Jose will engage in an iterative process to develop a theoretical grounding and practical guidance for museum practitioners. The project will include two convenings, bringing together teams of experts from the fields of data science, data science education and museum exhibit design. Prior to the first convening, an initial literature summary and a survey of convening participants will be conducted, culminating in a preliminary list of big ideas about data science. Periodically, participants will have the opportunity to rank, annotate and expand this list, as a form of ongoing data collection. During the convenings, participants will explore the preliminary list, share related work from the three disciplines, engage with related data science activities in small groups, and work together to build consensus around promising data science topics and approaches for exhibits. Participant evaluation will allow for iterative improvement of the convenings and the capture of missed points or overlooked topics. After each convening, museum partners will create prototypes that respond to the convening conversations. Prototypes will be pilot tested (evaluated) with an intentionally recruited group of families that includes both frequent visitors and those who are less likely to visit the museum; diversity in terms of race, languages and dis/ability will be reflected in selection. Pilot data collection will consist of structured observations and interviews. Results from the first round of prototyping will be shared with convening participants as a way to modify the list of big ideas and to further interrogate the feasibility of communicating these ideas in an exhibit format. Results from the convenings and from both rounds of prototyping will be combined in a guiding document that will be shared on all three partner websites, and more broadly with the informal STEM learning field. The team will also host a workshop for practitioners interested in designing data science exhibits, and present at a conference focused on museum exhibits and their design.
Data is increasingly important in all aspects of people’s lives, from the day-to-day, to careers and to civic engagement. Preparing youth to use data to answer questions and solve problems empowers them to participate in society as informed citizens and opens doors to 21st century career opportunities. Ensuring equitable representation in data literacy and data science careers is critical. For many girls underrepresented in STEM, developing a "data science identity" requires personally meaningful experiences working with data. This project aims to promote middle school-aged girls’ interest and aspirations in data science through an identity-aligned, social game-based learning approach. The goals are to create a more diverse and inclusive generation of data scientists who see data as a resource and who are equipped with the skills and dispositions necessary to work with data in order to solve practical problems. The research team will run 10 social clubs and 10 data science clubs mentored by women in data science recruited through the University of Miami’s Institute for Data Science and Computing. Participants will be 250 middle school-aged girls recruited in Miami, FL, and Yolo County, CA, through local and national girls’ organizations. Youth will participate in a data science club and will learn key data science concepts and skills, including data structures, storage, exploration, analysis, and visualization. These concepts will be learned from working with their own data collected in personally meaningful ways in addition to working with data collected by others in the same social game eco-system. The project will also develop facilitator materials to allow adult volunteers to create game-based informal data science learning experiences for youth in their areas. The project 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 learning in informal environments and is co-funded by the Innovative Technology Experiences for Students and Teachers (ITEST), which seeks to engage underrepresented students in technology-rich learning environments, including skills in data literacy, and increase students’ knowledge and interest in information and communication technology (ICT) careers.
Researchers will focus on two primary research questions: 1) Across gameplay and club experiences, in what ways do participants engage with data to pursue personal or social goals? 2) How do gameplay and club experiences shape girls’ perceptions of data, data science, and their fit with data and data science? The project will use design-based research methods to iteratively design the game and social club experiences. To ensure that uses of data feel personally and socially meaningful to young girls, the virtual world’s goals, narratives, and activities will be co-designed with girls from groups underrepresented in data science. The project will research engagement with game data in two informal, game-based learning scenarios: organic, self-directed, social play club, and structured, adult-facilitated data science clubs. The research will use a combination of quantitative and qualitative methods including surveys, focus groups, interviews, and gameplay and club observations. Project evaluation will determine how gameplay and club experiences impact participants' attitudes toward and interest in data-rich futures. The project holds the potential for broadening participation and promoting interest in data science by blending game-based learning with the rich social and adult mentoring through club participation. The results will be disseminated through conference presentations, scholarly publications, and social media. The game and facilitator materials will be designed for dissemination and made freely available to the public.
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TEAM MEMBERS:
Lisa HardyGary GoldbergerJennifer Kahn
resourceprojectProfessional Development, Conferences, and Networks
The New York Hall of Science (NYSCI) will convene a two-day participatory design conference of to identify research and education opportunities in informal settings for supporting literacy concerning Artificial Intelligence (AI), especially for diverse and underserved youth whose communities are impacted by the bias in some AI processes. AI uses computer systems that simulate human intelligence. AI systems impact nearly every aspect of daily living, performing tasks underlying navigation apps, facial recognition, e-payments, and social media. AI can perpetuate inequities and biased outcomes in the culture at large. The conference will explore how to promote engagement and conceptual learning among youth about how AI works and what skills are needed to critically use and apply AI. The conference will also explore ways to support the interests of diverse and underserved children and youth in shaping AI and joining the growing STEM workforce that will use AI in their professions.
The conference will identify key features and needs with respect to AI literacy and explore the specific roles that informal learning can play in advancing AI literacy for youth in diverse and underserved communities. Participants in the conference will include designers, learning scientists, researchers, informal and formal educators, and science center professionals. Attendees will work in separate teams and as a group to explore and critique existing AI tools and learning frameworks, discuss lessons learned from promising AI literacy programs, and identify design principles and future directions for research. Specific attention will be paid to informal mechanisms of engagement, promising networks, and research-practice partnerships that take advantage of the unique affordances of informal learning and community services to accelerate AI literacy for historically excluded youth. The insights gained from this work will result in a set of research and programmatic priorities for informal institutions to promote AI literacy in culturally responsive ways. The resulting published guide and community events will broadly disseminate priorities and design principles generated by this convening to help informal learning institutions and community learning organizations identify both assets and priorities for addressing diversity, equity, access, and inclusion issues related to AI literacy.
This poster was presented at the 2021 NSF AISL Awardee Meeting.
Since 2006, the National High Magnetic Field Laboratory (MagLab) through the Center for Integrating Research and Learning (CIRL) has offered a SciGirls Summer Camp to introduce middle school girls to various fields of science. Code: SciGirls was created in 2017 to increase the engagement in computer science studies and career paths for girls. This consistent commitment to girls in STEM led the SciGirls creators at Twin Cities Public Television (TPT) to invite CIRL to be a partner with them. In the summer of 2021, CIRL & TPT
The Ice Worlds media project will inspire millions of children and adults to gain new knowledge about polar environments, the planet’s climate, and humanity’s place within Earth’s complex systems—supporting an informed, STEM literate citizenry. Featuring the NSF-funded THOR expedition to Thwaites glacier, along with contributions of many NSF-supported researchers worldwide, Ice Worlds will share the importance of investments in STEM with audiences in giant screen theaters, on television, online, and in other informal settings. Primary project deliverables include a giant screen film, a filmmaking workshop for Native American middle school students that will result in a documentary, a climate storytelling professional development program for informal educators, and a knowledge-building summative evaluation. The project’s largest target audience is middle school learners (ages 11-14); specific activities are designed for Native American youth and informal science practitioners. Innovative outreach will engage youth underserved in science inspiring a new generation of scientists and investigative thinkers. The project’s professional development programs will build the capacity of informal educators to engage communities and communicate science. The Ice Worlds project is a collaboration among media producers Giant Screen Films, Natural History New Zealand, PBS, and Academy Award nominated film directors (Yes/No Productions). Additional collaborators include Northwestern University, The American Indian Science and Engineering Society, the Native American Journalism Association, a group of museum and science center partners, and a team of advisors including scientific and Indigenous experts associated with the NSF-funded Study of Environmental Arctic Change initiative.
The goals of the project are: 1) to increase public understanding of the processes and consequences of environmental change in polar ecosystems, 2) to explore the effectiveness of the giant screen format to impart knowledge, inspire motivation and caring for nature, 3) to improve middle schoolers’ interest, confidence and engagement in STEM topics and pursuits—broadly and through a specific program for Native American youth, and 4) to build informal educators’ capacity to share stories of climate change in their communities. The main evaluation questions are 1) to what extent does the Ice World film affect learning, engagement, and motivation around STEM pursuits and environmental problem solving 2) what is the added value of companion media for youth’s giant screen learning over short and longer term, and 3) what are the impacts of the culturally based Native American youth workshops.
The evaluation work will involve a Native American youth advisory panel and a panel of science center practitioners in the giant screen film’s development and evaluation process. Formative evaluation of the film will involve recruiting youth from diverse backgrounds, including representation of Native youth, to see the film in the giant screen theater of a partner site. Post viewing surveys and group discussions will explore their experience of the film with respect to engagement, learning, evoking spatial presence, and motivational impact. A summative evaluation of the completed film will assess its immediate and longer term impacts. Statistical analyses will be conducted on all quantitative data generated from the evaluation, including a comparison of pre and post knowledge scores. An evaluation of the Tribal Youth Media program will include a significant period of formative evaluation and community engagement to align activities to the needs and interests of participating students. Culturally appropriate measures, qualitative methods and frameworks will be used to assess the learning impacts. Data will be analyzed to determine learning impacts of the workshop on youth participants as well as mentors and other stakeholder participants. Evaluation of the community climate storytelling professional development component will include lessons learned and recommendations for implementation.
This project investigates long-term human-robot interaction outside of controlled laboratory settings to better understand how the introduction of robots and the development of socially-aware behaviors work to transform the spaces of everyday life, including how spaces are planned and managed, used, and experienced. Focusing on tour-guiding robots in two museums, the research will produce nuanced insights into the challenges and opportunities that arise as social robots are integrated into new spaces to better inform future design, planning, and decision-making. It brings together researchers from human geography, robotics, and art to think beyond disciplinary boundaries about the possible futures of human-robot co-existence, sociality, and collaboration. Broader impacts of the project will include increased accessibility and engagement at two partner museums, interdisciplinary research opportunities for both undergraduate and graduate students, a short video series about the current state of robotic technology to be offered as a free educational resource, and public art exhibitions reflecting on human-robot interactions. This project will be of interest to scholars of Science and Technology Studies, Human Robotics Interaction (HRI), and human geography as well as museum administrators, educators and the general public.
This interdisciplinary project brings together Science and Technology Studies, Human Robotics Interaction (HRI), and human geography to explore the production of social space through emerging forms of HRI. The project broadly asks: How does the deployment of social robots influence the production of social space—including the functions, meanings, practices, and experiences of particular spaces? The project is based on long-term ethnographic observation of the development and deployment of tour-guiding robots in an art museum and an earth science museum. A social roboticist will develop a socially-aware navigation system to add nuance to the robots’ socio-spatial behavior. A digital artist will produce digital representations of the interactions that take place in the museum, using the robot’s own sensor data and other forms of motion capture. A human geographer will conduct interviews with museum visitors and staff as well as ethnographic observation of the tour-guiding robots and of the roboticists as they develop the navigation system. They will produce an ethnographic analysis of the robots’ roles in the organization of the museums, everyday practices of museum staff and visitors, and the differential experiences of the museum space. The intellectual merits of the project consist of contributions at the intersections of STS, robotics, and human geography examining the value of ethnographic research for HRI, the development of socially-aware navigation systems, the value of a socio-spatial analytic for understanding emerging forms of robotics, and the role of robots within evolving digital geographies.
This project is jointly funded by the Science and Technology Studies program in SBE and Advancing Informal STEM Learning (AISL) Program in EHR.
This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).
Research shows that Black girls and women, regardless of their academic achievements and STEM interests, often encounter academic under-preparation, social isolation, exclusion, and race-gender discrimination that negatively impacts their ongoing engagement and retention in STEM. This project will provide innovative, culturally relevant learning environments to middle and high school Black girls to counter these negative trends. Using hands-on coding and robotics activities, project participants will develop positive attitudes toward science, technology, engineering, and mathematics (STEM). The project emphasizes peer-mentoring by providing opportunities for Black female high school (assistant coaches) and Black college students (coaches) to serve as counselors and mentors to participants. Additionally, engineers, scientists, and executives from STEM industries will serve as mentors and share their experiences to broaden participants’ STEM career aspirations. The project is a three-year collaborative effort between the University of California Davis C-STEM Center, the Umoja Community Education Foundation, and the 66 affiliated California community colleges, industry partners, and school districts in California. Over three years, nearly 2,000 females will participate in the project.
Learning environments for Black girls and women led by other Black girls and women are referred to as “counterspaces” where they are free to engage in STEM in ways that value their identities while promoting STEM engagement, interests, and career aspirations. The project’s curriculum will follow a research-based, culturally relevant multi-tiered mentoring approach. The curriculum is designed to develop participants’ STEM content knowledge, critical thinking, and logical reasoning capabilities through meaningful connections to real-life applications using hands-on coding and robotics. A mixed-method longitudinal study will examine the impact on participants’ STEM outcomes, emphasizing contributing new knowledge on the viability of multi-tiered, culturally relevant mentoring for increasing equity in informal STEM learning (ISL). The program's effectiveness will be evaluated using longitudinal assessments of mathematics standards, computer science and robotics conceptual knowledge, logical and critical thinking skills, STEM school achievements, interests and attitudes toward STEM subjects, advanced STEM course-taking, involvement in other ISL opportunities, and leadership in STEM in one’s school/university and community. The project will test a locally based informal learning model with projects hosted by other K-12 and college partners.
This Innovations in Development project is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to (a) advance new approaches to and evidence-based understanding of the design and development of STEM learning in informal environments; (b) provide multiple pathways for broadening access to and engagement in STEM learning experiences; (c) advance innovative research on and assessment of STEM learning in informal environments; and (d) engage the public of all ages in learning STEM in informal environments.