Biology has become a powerful and revolutionary technology, uniquely poised to transform and propel innovation in the near future. The skills, tools, and implications of using living systems to engineer innovative solutions to human health and global challenges, however, are still largely foreign and inaccessible to the general public. The life sciences need new ways of effectively engaging diverse audiences in these complex and powerful fields. Bio-Tinkering Playground will leverage a longtime partnership between the Stanford University Department of Genetics and The Tech Museum of Innovation to explore and develop one such powerful new approach.
The objective of Bio-Tinkering Playground is to create and test a groundbreaking type of museum space: a DIY community biology lab and bio-makerspace, complete with a unique repertoire of hands-on experiences. We will tackle the challenge of developing both open-ended bio-making activities and more scaffolded ones that, together, start to do for biology, biotech, and living systems what today’s makerspaces have done for engineering.
A combined Design Challenge Learning, making, and tinkering approach was chosen because of its demonstrated effectiveness at fostering confidence, creative capacity, and problem solving skills as well as engaging participants of diverse backgrounds. This educational model can potentially better keep pace with the emerging and quickly evolving landscape of biotech to better prepare young people for STEM careers and build the next generation of biotech and biomedical innovators.
Experience development will be conducted using an iterative design process that incorporates prototyping and formative evaluation to land on a final cohort of novel, highly-vetted Bio-Tinkering Playground experience. In the end, the project will generate a wealth of resources and learnings to share with the broader science education field. Thus, the impacts of our foundational work can extend well beyond the walls of The Tech as we enable other educators and public institutions around the world to replicate our model for engagement with biology.
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative research, approaches and resources for use in a variety of settings. The uses of technologies in emergency management and public safety are emerging rapidly, but it could take years for school STEM curricula to catch up with the technologies that are already being deployed in the field. Informal learning environments, such as Teen Science Cafés, provide a compelling venue for youth learning about rapidly-developing STEM fields such as technology. The floods and devastation caused by Hurricane Harvey provide a timely learning opportunity for them. This project, in addition to developing new materials for learning about technologies, will provide much-needed baseline research on teens' understanding of technology, technology careers, and emergency preparedness. Leveraging the robust platform of the NSF-funded Teen Science Café, the Maine Mathematics and Science Alliance will build upon its existing partnership with Science Education Solutions to develop and implement a package of educational activities, tools, and resources for a Teen Science Café that is focused on community flood events and response, using Hurricane Harvey as a model and case study. The materials will focus on advances in sensor technology, data visualization, social media, and other mobile communication apps used to detect, monitor and respond to flooding and natural disasters. The package of materials will be embraced by 20 sites in Maine. The goal is to engage at least 600 youth in themed Cafés focusing on how technology was used to respond to Harvey and is being used to manage and respond to flooding more generally. An important related goal is to conduct baseline research on what teens currently know about the flood-related technologies, as well as what they learn about it from this experience derived from recent floods in Texas, Florida, and the Caribbean islands.
A research goal of our work was to collect baseline information on teens’ level of knowledge about the role of technology in responding to a variety of natural disasters. To our knowledge, the field has not developed measures of knowledge of this increasingly important domain. We developed a quick and easy-to-administer 10-item multiple-choice measure, which we presented as a “trivia game” to be done sometime during the 90-minute Café. We did not track pre- to post-café changes in knowledge, because the Cafés emphasized very different pieces of technology as well as different types of natural disasters. Rather, we wished to establish a starting point, so that other researchers who are engaged in ERT efforts with teens have both an instrument and baseline data to use in their work.
A sample of 170 youth completed the questionnaire. The average correct response rate was 4.2 out of 10, only slightly higher than the chance of guessing correctly (3 out of 10). This suggests teens have limited baseline knowledge of Emergency Response Technology and our Cafés therefore served an important purpose given this lack of knowledge. Indeed, for half of the questions at least one incorrect answer was selected more often than the correct answer! Note that there were no statistically significant correlations between age and gender and rates of correct answers.
Three things are clear from our work: 1) Youth need and want to know about the vital roles they can play by learning to use technology in the face of natural disasters; 2) Teens currently know little about the uses of technology in mitigating or responding to disasters; and 3) Teen Science Cafés provide a timely and relatively simple way of sparking interest in this topic. The project showed that it is possible to empower youth to become involved, shape their futures, and care for their communities in the face of disasters. We plan to continue to expand the theme of Emergency Response Technology within the Teen Science Café Network. Reaching teens with proactive messages about their own agency in natural disasters is imperative and attainable through Teen Science Cafés.
This project, an NSF INCLUDES Design and Development Launch Pilot, managed by the University of Nevada, Reno, addresses the grand challenge of increasing underrepresentation regionally in the advanced manufacturing sector. Using the state's Learn and Earn Program Advanced Career Pathway (LEAP) as the foundation, science, technology, engineering and mathematics (STEM) activities will support and prepare Hispanic students for the region's workforce in advanced manufacturing which includes partnerships with Truckee Meadows Community College (TMCC), the state's Governor's Office of Economic Development, Charles River Laboratories, Nevada Established Program to Stimulate Competitive Research (Nevada EPSCoR) and the K-12 community.
The expected outcomes from the project will inform the feasibility, expandability and transferability of the LEAP framework in diversifying the state's workforce locally and the STEM workforce nationally. Formative and summative evaluation will be conducted with a well-matched comparison group. Dissemination of project results will be disseminated through the Association for Public Land-Grant Universities (APLU), STEM conferences and scholarly journals.
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TEAM MEMBERS:
David ShintaniJulie EllsworthKarsten HeiseRobert StachlewitzRegina Tempel
The University of Texas at Austin's Texas Advanced Computing Center, Chaminade University of Honolulu (CUH), and the Georgia Institute of Technology will lead this NSF INCLUDES Design and Development Launch Pilot (DDLP) to establish a model for data science preparation of Native Hawaiian and Pacific Islander (NHPI) students at the high school and undergraduate levels. The project is premised on the promise of NHPI communities gaining access to, and the ability to work with, large data sets to tackle emerging problems in the Pacific. Such agency over "big data" sets that are relevant to Pacific issues, and contemporary skills in data science, analytics and visualization have the potential to be transformative for community improvement efforts. The effort has the potential to advance knowledge, instructional pedagogy and practices to improve NHPI high school and undergraduate students performance in and attraction to STEM education and careers.
The project team will work to: 1) Increase interest and proficiency in data science and visualization among NHPI high school and undergraduate students through a summer immersion experience that bridges computation and culture; 2) Build data science capacity at an NHPI serving undergraduate institution (CUH) through creation of a certificate program; and 3) Develop and expand partnerships with other organizations with related goals working with NHPI populations. The month-long summer training for 20 NHPI college students, and five NHPI high school students, takes place at CUH and focuses on data science, visualization, and virtual reality, including working on problem sets that require data science approaches and incorporate geographically, socially- and culturally-relevant research themes.
This NSF INCLUDES Design and Development Launch Pilot, "Expanding Diversity in Energy and Environmental Sustainability (EDEES)", will develop a network of institutions in the United States mid-Atlantic region to recruit, train, and prepare a significant number of underrepresented, underserved, and underprivileged members of the American society in the areas of alternative energy generation and environmental sustainability. Researchers from Delaware State University (DSU) will lead the effort in collaboration with scientists and educators from the University of Delaware, Delaware Technical Community College, University of Maryland, and Stony Brook University. The program comprises a strong educational component in different aspects of green energy generation and environmental sciences including the development of a baccalaureate degree in Green Energy Engineering and the further growth of the recently established Renewable Energy Education Center at our University. The program comprises an active involvement of students from local K-12 institutions, including Delaware State University Early College High School. The character of the University as a Historically Black College (HBCU) and the relatively high minority population of the region will facilitate the completion of the goal to serve minority students. The program will also involve the local community and the private sector by promoting the idea of a green City of Dover, Delaware, in the years to come.
The goal of EDEES-INCLUDES pilot comprises the enrollment of at least twenty underrepresented minority students in majors related to green energy and environmental sustainability. It also entails the establishment of a baccalaureate degree in Green Energy Engineering at DSU. The program is expected to strengthen the pathway from two-year energy-related associate degree programs to four-year degrees by ensuring at least five students/year transfer to DSU in energy-related programs. The pilot is also expected to increase the number of high school graduates from underrepresented groups who choose to attend college in STEM majors. Based on previous experience and existing collaborations, the partner institutions expect to grow as an integrated research-educational network where students will be able to obtain expertise in the competitive field of green energy. The pilot program comprises a deep integration of education and research currently undergoing in the involved institutions. In collaboration with its partner institutions, DSU plans to consistently and systematically involve students from the K-12 system to nurture the future recruitment efforts of the network. A career in Green Energy Engineering is using and expanding up existing infrastructure and collaborations. The program will involve the local community through events, workshops and open discussions on energy related fields using social networks and other internet technology in order to promote energy literacy.
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TEAM MEMBERS:
Aristides MarcanoMohammed KhanGulnihal OzbayGabriel Gwanmesia
The University of New Hampshire (UNH) NSF INCLUDES Design and Development Launch Pilot project is a collaborative effort with the Community College System of New Hampshire, Advanced Manufacturing (AM) businesses, NH Economic Development, and the University of New Hampshire to address workforce development in the Advanced Manufacturing sector in the state. The Advanced Manufacturing Program (AMP) uses a framework built on the Collective Impact collaboration model that enables AMP partners to innovate, plan, and implement strategies that significantly increase NH's community colleges (CC) as a source for future workers and leaders in AM.
Specifically, this proposal addresses the pressing need for increasing numbers of AM workers through strategies designed to increase the retention of low socioeconomic status (LSES) students in CC STEM degree programs. AMP coordinates four key implementation strategies: 1) Co-requisite remediation within mathematics and quantitative reasoning; 2) Guided Pathways mentorship with "high touch" advising and student guidance resources that combines clearly defined academic pathways leading to 4-year college transfer and job placement; 3) paid work-based learning (WBL) experiences in industry and academic research; and 4) mentor inclusiveness training to prepare the workplace and academic settings to receive LSES students into a supportive climate. Successfully coordinating these four components through the process of Collective Impact collaboration will lead to a flexible and integrated AM workforce pipeline that serves CC AM students, AM industry partners, and the state as a whole. Findings will be disseminated to academic, business, and government stakeholders in NH, the region, and nationally to inform and improve broadening participation initiatives.
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TEAM MEMBERS:
Palligarnai VasudevanStephen HaleBrad KinseyLeslie BarberMelissa Aikens
The Sustainability Teams Empower and Amplify Membership in STEM (S-TEAMS), an NSF INCLUDES Design and Development Launch Pilot project, will tackle the problem of persistent underrepresentation by low-income, minority, and women students in STEM disciplines and careers through transdisciplinary teamwork. As science is increasingly done in teams, collaborations bring diversity to research. Diverse interactions can support critical thinking, problem-solving, and is a priority among STEM disciplines. By exploring a set of individual contributors that can be effect change through collective impact, this project will explore alternative approaches to broadly enhance diversity in STEM, such as sense of community and perceived program benefit. The S-TEAMS project relies on the use of sustainability as the organizing frame for the deployment of learning communities (teams) that engage deeply with active learning. Studies on the issue of underrepresentation often cite a feeling of isolation and lack of academically supportive networks with other students like themselves as major reasons for a disinclination to pursue education and careers in STEM, even as the numbers of underrepresented groups are increasing in colleges and universities across the country. The growth of sustainability science provides an excellent opportunity to include students from underrepresented groups in supportive teams working together on problems that require expertise in multiple disciplines. Participating students will develop professional skills and strengthen STEM- and sustainability-specific skills through real-world experience in problem solving and team science. Ultimately this project is expected to help increase the number of qualified professionals in the field of sustainability and the number of minorities in the STEM professions.
While there is certainly a clear need to improve engagement and retention of underrepresented groups across the entire spectrum of STEM education - from K-12 through graduate education, and on through career choices - the explicit focus here is on the undergraduate piece of this critical issue. This approach to teamwork makes STEM socialization integral to the active learning process. Five-member transdisciplinary teams, from disciplines such as biology, chemistry, computer and information sciences, geography, geology, mathematics, physics, and sustainability science, will work together for ten weeks in summer 2018 on real-world projects with corporations, government organizations, and nongovernment organizations. Sustainability teams with low participation by underrepresented groups will be compared to those with high representation to gather insights regarding individual and collective engagement, productivity, and ongoing interest in STEM. Such insights will be used to scale up the effort through partnership with New Jersey Higher Education Partnership for Sustainability (NJHEPS).
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TEAM MEMBERS:
Amy TuiningaAshwani VasishthPankaj Lai
Glaciers around the world are undergoing dramatic changes. Many people, however, have a limited understanding of the scope of these changes because they are geographically distant and difficult to visualize. Although both digital learning tools and online scientific data repositories have greatly expanded over the last decade, there is currently no interface that brings the two together in a way that allows the public to explore these rapidly changing glacial environments. Therefore, to both improve public understanding and provide greater access to already existing resources, the project team will develop the Virtual Ice Explorer to encourage informal learning about glacial environments. This web application will feature an immersive virtual environment and display a suite of environmental data for an array of Earth's glacial systems. An interactive globe will allow users to select from a collection of sites ranging from polar regions to tropical latitudes. Each featured site will offer users an opportunity to interact with (1) a 3D rendering of the landscape; (2) a local map of the site; (3) historical and contemporary photographs of the site; (4) background information text describing the location, past research, and climate impacts; and (5) available environmental data. One of the most original features of the application will be its realistic, immersive 3D rendering of glacial landscapes by combining very high-resolution digital elevation models and satellite imagery with the application's built-in capabilities for immersive virtual environments. Although immersive environments often require expensive equipment, we are maximizing accessibility by developing the Virtual Ice Explorer to run in a web browser and function across various devices. Thus, the application will be available to anyone with internet access, and they can explore at their own pace.
As part of the successful development of Virtual Ice Explorer, the project team will create a platform for digital elevation models to be visualized and explored in 3D by users within the web application; curate digital elevation models, maps, images, text, and environmental data for inclusion in the web application for up to 11 geographically diverse glaciers/glacial landscapes; iteratively user-test the web application with project partners; and design the architecture of the system to readily scale to a larger collection of glaciers/glacial landscapes. To extend dissemination of the final products, the team has partnered with the U.S. Geologic Survey to showcase four benchmark glaciers in their long-term Glaciers and Climate project. In addition to improving understanding of glacier systems in informal learning environments, the project team will explore applications for spatial learning, employment of 3D environments for educational interventions, and use of Virtual Ice Explorer in formal learning environments. This 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. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants. The project also has support from the Office of Polar Programs.
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TEAM MEMBERS:
Jason CervenecJesse FoxJulien Nicolas
As the world is increasingly dependent upon computing and computational processes associated with data analysis, it is essential to gain a better understanding of the visualization technologies that are used to make meaning of massive scientific data. It is also essential that the infrastructure, the very means by which technologies are developed for improving the public's engagement in science itself, be better understood. Thus, this AISL Innovations in Development project will address the critical need for the public to learn how to interpret and understand highly complex and visualized scientific data. The project will design, develop and study a new technology platform, xMacroscope, as a learning tool that will allow visitors at the Science Museum of Minnesota and the Center of Science and Industry, to create, view, understand, and interact with different data sets using diverse visualization types. The xMacroscope will support rapid research prototyping of public experiences at selected exhibits, such as collecting data on a runner's speed and height and the visualized representation of such data. The xMacroscope will provide research opportunities for exhibit designers, education researchers, and learning scientists to study diverse audiences at science centers in order to understand how learning about data through the xMacroscope tool may inform definitions of data literacy. The research will advance the state of the art in visualization technology, which will have broad implications for teaching and learning of scientific data in both informal and formal learning environments. The project will lead to better understanding by science centers on how to present data to the public more effectively through visualizations that are based upon massive amounts of data. Technology results and research findings will be disseminated broadly through professional publications and presentations at science, education, and technology conferences. 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. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants. The project is driven by the assumption that in the digital information age, being able to create and interpret data visualizations is an important literacy for the public. The research will seek to define, measure, and advance data visualization literacy. The project will engage the public in using the xMacrocope at the Science Museum of Minnesota and at the Center of Science and Industry's (COSI) science museum and research center in Columbus, Ohio. In both museum settings the public will interact with different datasets and diverse types of visualizations. Using the xMacroscope platform, personal attributes and capabilities will be measured and personalized data visualizations will be constructed. Existing theories of learning (constructivist and constructionist) will be extended to capture the learning and use of data visualization literacy. In addition, the project team will conduct a meta-review related to different types of literacy and will produce a definition with performance measures to assess data visualization literacy - currently broadly defined in the project as the ability to read, understand, and create data visualizations. The research has potential for significant impact in the field of science and technology education and education research on visual learning. It will further our understanding of the nature of data visualization literacy learning and define opportunities for visualizing data in ways that are both personally and culturally meaningful. The project expects to advance the understanding of the role of personalization in the learning process using iterative design-based research methodologies to advance both theory and practice in informal learning settings. An iterative design process will be applied for addressing the research questions by correlating visualizations to individual actions and contributions, exploring meaning-making studies of visualization construction, and testing the xMacroscope under various conditions of crowdedness and busyness in a museum context. The evaluation plan is based upon a logic model and the evaluation will iteratively inform the direction, process, and productivity of the project.
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants. The goal of this project is to make 21st century quantum science comprehensible and engaging to non-expert informal adult learners. This project has strong potential to add new knowledge about the public's perception and understanding of quantum physics. This scientific content is often difficult for informal audiences to grasp, and there are relatively few accessible learning resources for a non- professional audience. The development of this online, interactive resource with short animations, graphics, and simulations has strong potential to fill this gap. It will develop a visually driven online resource to engage non-expert audiences in understanding the basics of quantum physics. The web design will be modular, incorporating many multimedia elements and the structure will be flexible allowing for future expansion. All content would be freely available for educational use. There is potential for extensive reach and use of the resources by informal adult learners online as well as learners in museums, science centers, and schools. Project partners are the Joint Quantum Institute at the University of Maryland and the National Institute of Standards and Technology, College Park. An independent evaluation of the project will add new knowledge about informal learners' perceptions and/or knowledge about quantum science and technology. An initial needs assessment via focus groups with the general public will be designed to find out more about what they already know about quantum physics topics and terminology, as well as what they want to know and what formats they prefer (games, simulations, podcasts, etc.). In person user testing will be used with early versions of the project online resource using a structured think-aloud protocol. Later in year 1 and 2, online focus groups with the general public will be conducted to learn what they find engaging and what they learned from the content. Iterative feedback from participants during the formative stage will guide the development of the content and format of the online resources. The Summative Evaluation will gather data using a retrospective post-survey embedded with a pop-up link on the Atlas followed by interviews with a subset of online users. Google Analytics will be used to determine the breadth and depth of their online navigation, what resources they download, and what websites they visit afterward. A post-only survey of undergraduate and graduate students who participated in resource development will focus on changes in students' confidence around their science communication skills and level of quantum physics understanding.
Cities and communities in the U.S. and around the world are entering a new era of transformational change, in which their inhabitants and the surrounding built and natural environments are increasingly connected by smart technologies, leading to new opportunities for innovation, improved services, and enhanced quality of life. The Smart and Connected Communities (SCC) program supports strongly interdisciplinary, integrative research and research capacity-building activities that will improve understanding of smart and connected communities and lead to discoveries that enable sustainable change to enhance community functioning. This project is a Research Coordination Network (RCN) that focuses on achieving SCC for medium/small size, remote, and rural communities through a polycentric (multiple centers) integrated policy, design, and technology approach. The communities served by the RCN have higher barriers to information, resources, and services than larger urban communities. To reduce this gap, the PIs propose to develop need-based R&D pipelines to select solutions with the highest potential impacts to the communities. Instead of trying to connect under-connected communities to nearby large cities, this proposal aims to develop economic opportunities within the communities themselves. This topic aligns well with the vision of the SCC program, and the proposed RCN consists of a diverse group of researchers, communities, industry, government, and non-profit partners.
This award will support the development of an RCN within the Commonwealth of Virginia which will coordinate multiple partners in developing innovations utilizing smart and connected technologies. The goal of the research coordination network is to enable researchers and citizens to collaborate on research supporting enhanced quality of life for medium, small, and rural communities which frequently lack the communication and other infrastructure available in cities. The research coordination network will be led by the University of Virginia. There are 14 partner organizations including six research center partners in transportation, environment, architecture and urban planning, and engineering and technology; two State and Industry partners (Virginia Municipal League and Virginia Center for Innovative Technology); four community partners representing health services (UVA Center for Telemedicine), small and remote communities (Weldon Cooper Center), neighborhood communities (Charlottesville Neighborhood Development), and urban communities (Thriving Cities); and two national partners which support high speed networking (US-Ignite) and city-university hubs (MetroLab). Examples of research coordination include telemedicine services, transportation services, and user-centric and community-centric utilization and deployment of sensor technologies.
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TEAM MEMBERS:
Ila BermanT. Donna ChenKaren RheubanQian Cai