Cities are facing new demands as their urban populations rapidly grow. Smart City initiatives are being developed to address issues of mobility, infrastructure, security, and safety, while enhancing the quality of life of citizens. One-size-fits-all solutions are not viable. Instead, the diversity of a city's residents, including life experiences, cultural backgrounds, needs, and behaviors, must be taken into account to achieve transformative, citizen-centered solutions. Engineers, scientists, policy makers, entrepreneurs, and thought leaders must be prepared to tackle future Smart City challenges, and address knowledge barriers in understanding the needs of citizens across age, occupation, financial standing, disability, and technology savviness. This National Science Foundation Research Traineeship (NRT) award to the Arizona State University addresses this need by training the next generation of MS and PhD students for careers in Smart Cities-related fields. The project anticipates training thirty-eight (38) MS and PhD students, including twenty-four (24) funded trainees, from the following degree programs: Human and Social Dimensions of Science and Technology; Public Affairs; Computer Science; Civil, Environmental, and Sustainable Engineering; Mechanical & Aerospace Engineering; and Applied Engineering Programs. In addition to trainees, it is envisioned that over 300 other MS and PhD students in STEM disciplines will participate in opportunities made available through this traineeship. The knowledge and technologies developed from this project will contribute toward improving the quality of life for all of society through interdisciplinary, citizen-centered Smart City solutions.
An integrated education-research-practice model focused on the technological, societal, and environmental research aspects of citizen-centered solutions for Smart Cities will be employed to instill trainees with transdisciplinary skills and knowledge through cross-disciplinary courses; experience with leading collaborative, use-inspired research projects; applied learning through internships with partners and teaching opportunities; research experiences through service learning and leadership; and entrepreneurial education. Trainees will pursue research thrusts in Citizen-Centered Design; Smart City Infrastructure and Dynamics; and Socio-Environmental Practices and Policies. These thrusts are embedded in integrative priority application areas of Transportation and Accessibility; Safety, Security, and Risk Reduction; and Engagement and Education. Research efforts will significantly advance data-enabled citizen engagement; urban informatics; Internet-of-Things technologies; inclusion and accessibility; urban infrastructure; transportation systems; cybersecurity; swarm robotics; urban sustainability; quality of life and equity for citizens; hazards management and risk reduction; and societal concerns and ethics of emerging Smart City technologies. Focused efforts will be made to recruit underrepresented minorities, women, and individuals with disabilities, in order to tap underutilized talent, equip them to address the needs of their communities, and increase involvement of these groups in Smart Cities-related fields.
The NSF Research Traineeship (NRT) Program is designed to encourage the development and implementation of bold, new potentially transformative models for STEM graduate education training. The program is dedicated to effective training of STEM graduate students in high priority interdisciplinary research areas through comprehensive traineeship models that are innovative, evidence-based, and aligned with changing workforce and research needs.
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:
Michael KennedyRam PendyalaCynthia SelinAnn McKennaTroy McDanielGail-Joon AhnSethuraman Panchanathan
There is a dearth of prominent STEM role models for underrepresented populations. For example, according to a 2017 survey, only 3.1% of physicists in the United States are Black, only 2.1% are Hispanic, and only 0.5% are Native American. The project will help bridge these gaps by developing exhibits that include simulations of historical scientific experiments enacted by little-known scientists of color, virtual reality encounters that immerse participants in the scientists' discovery process, and other content that allows visitors to interact with the exhibits and explore the exhibits' themes. The project will develop transportable, interactive exhibits focusing on light: how we perceive light, sources of light from light bulbs to stars, uses of real and artificial light in human endeavors, and past and current STEM innovators whose work helps us understand, create, and harness light now. The exhibits will be developed in three stages, each exploring a characteristic of light (Color, Energy, or Time). Each theme will be explored via multiple deliveries: short documentary and animated films, virtual reality experiences, interactive "photobooths," and technology-based inquiry activities. The exhibit components will be copied at seven additional sites, which will host the exhibits for their audiences, and the project's digital assets will enable other STEM learning organizations to duplicate the exhibits. The exhibits will be designed to address common gaps in understanding, among adults as well as younger learners, about light. What light really is and does, in scientific terms, is one type of hidden story these exhibits will convey to general audiences. Two other types of science stories the exhibits will tell: how contemporary research related to light, particularly in astrophysics, is unveiling the hidden stories of our universe; and hidden stories of STEM innovators, past and present, women and men, from diverse backgrounds. These stories will provide needed role models for the adolescent learners, helping them learn complex STEM content while showing them how scientific research is conducted and the diverse community of people who can contribute to STEM innovations and discoveries.
The project deliverables will be designed to present complex physics content through coherent, immersive, and embodied learning experiences that have been demonstrated to promote engagement and deeper learning. The project will research whether participants, through interacting with these exhibits, can begin to integrate discrete ideas and make connections with complex scientific content that would be difficult without technology support. For example, students and other novices often lack the expertise necessary to make distinctions between what is needed and what is extra within scientific problems. The proposed study follows a Design-Based Research (DBR) approach characterized by iterative cycles of data collection, analysis, and reflection to inform the design of educational innovations and advance educational theory. Project research includes conceiving, building, and testing iterative phases, which will enable the project to capture the complexity of learning and engagement in informal learning settings. Research participants will complete a range of research activities, including focus group interviews, observation, and pre-post assessment of science content knowledge and dispositions.
By showcasing such role models and informing about related STEM content, this project will widen perspectives of audiences in informal learning settings, particularly adolescents from groups underrepresented in STEM fields. Research findings and methodologies will be shared widely in the informal STEM learning community, building the field's knowledge of effective ways to broaden participation in informal science learning, and thus increase broaden participation in and preparation for the STEM-based workforce.
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:
Todd BoyetteJill HammJanice AndersonCrystal Harden