This project aims to (1) advance understanding of sociotechnical ecosystems involving AI to support diasporic urban farming; (2) collaboratively develop AI-based technologies that better integrates and sustains technological gains with diasporic knowledge, and (3) systematically assess the impact of AI-based farming technologies on diasporic communities and industrial partners.
Few people realize that the largest part of our planet’s biosphere remains virtually unexplored and unknown. This enormous habitat, accounting for an area of 116 million square miles or the equivalent size of roughly 30 times the area of the United States, is the abyssal zone of the deep ocean. The abyssal sea floor, at about 6000 ft., contains more than four times as much habitat for animal life as all of the dry mountains, forests, deserts, plains and jungles combined. Microscopic larvae in the deep ocean, are essential for the renewal and replenishment of life and they repopulate areas damaged by human activities such as mining and trawling, and they make marine protected areas both feasible and important. The National Science Foundation has funded intensive studies of oceanography related to larval recruitment for decades. However, findings from this large NSF investment of personnel, technology and funding have never been widely presented to the public. This project proposes to remedy this by developing a 40 minute giant screen film to be shown in science centers across the country, supported by virtual reality and augmented reality learning tools. The film will cover select deep ocean science expeditions using the deep-sea vehicles Alvin and ROV Jason. Content will include elements of the research process, activities related to the design and operation of deep-sea vehicles as well as interviews with scientists and technologists. The companion activities, Deep-Ocean Pilot (a VR-360° viewing station) and Plankton Quest (an AR biology treasure hunt) will extend the audience experience of the deep ocean out of the giant screen theater and into the surrounding museum environment. The website and social media will extend awareness and resources into homes. The project will be appropriate for a broad general audience, with particular appeal for the target audience of women and girls (ages 7-20). The larval biologist team is led by the PI at the University of Oregon, in collaboration with scientists from North Carolina State University, Western Washington University and the University of Rhode Island. Several young women scientists will be featured in the film providing role models. The production company, Stephen Low Productions, Inc. will use the latest technology on the Alvin and other cinematic tools to capture the visual images in the abyss. Collaborating museums will participate in the development and implementation of the Virtual and Augmented Reality learning tools as well as showing the film in their theaters.
Broader impact project goals include 1) Advancing public awareness of the abyssal ocean, the role of microscopic larvae, and what scientists are learning from expeditions that use deep submergence technologies; 2) Introducing public audiences and young women specifically to the wide range of STEM-related occupations encompassed in the field of ocean exploration and research; and 3) Advancing STEM learning research and practice in the area of immersive media in conveying STEM concepts and enhancing audience identification with STEM. Oregon State University’s STEM Research Center will build new knowledge by conducting formative and summative evaluation of the film and its associated support products (e.g., Virtual and augmented reality activities, website resources), addressing the following evaluation questions: 1)What do audiences take away from their experience in terms of fascination/interest, awareness and understanding related to ocean science exploration? 2) To what degree does the film alone or in combination with supplemental experiences trigger career awareness in girls and young women, and youth of racial/ethnic backgrounds? 3) To what degree do immersive experiences (a sense of “being there”) contribute to learning from the film? 4) How enduring are outcomes with audiences past the onsite immediate experience? Formative evaluation will be designed as ongoing improvement informed by empirical evidence in which evaluators work with team members to answer decision-relevant questions in a timely and project-focused way. The summative evaluation will be structured as an effectiveness study using mixed methods and ascertaining whether key programmatic outcomes have been reached and the degree to which particular program elements will have contributed to the results.
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TEAM MEMBERS:
Craig YoungAlexander LowStephen LowGeorge von DassowTrish Mace
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