This RAPID was submitted in response to the NSF Dear Colleague letter related to the COVID-19 pandemic. This award is made by the AISL program in the Division of Research on Learning, using funds from the Coronavirus Aid, Relief, and Economic Security (CARES) Act. The public must be made aware in a clear, responsible way about the role of science to help bring this pandemic under control and prevent future outbreaks. This project will allow the NewsHour to go beyond their daily reporting of the medical information about the pandemic, to inform the public about the difference scientific research/ research conducted by scientists and medical professionals can make in attacking such a dire threat. The PBS NewsHour has the capability to quickly mobilize its science journalists and national distribution infrastructure to produce at least six broadcast segments and additional digital materials reporting on this on-going scientific work. They will interview scientists, researchers and experts in genomic analysis, computer tracking, vaccine production, and social epidemiology showing what they are doing to test, treat, track and stop the spread of COVID-19, to create vaccines that may prevent further transmission, and to measure the social impact of the disease. These segments will be broadcast nationwide on local PBS stations and distributed on their website, YouTube, and social media channels. Viewership of the NewsHour is extensive reaching 2.5 million people nightly via broadcast and almost 33 million YouTube views per quarter. During a recent quarter, they reached 72.6 million on Facebook and garnered 86.8 million Twitter impressions.
The research team, Knology, will conduct a study to assess 1) where US adults are primarily getting information about COVID-19; 2) their perception of personal and public responsibility; 3) behaviors they have taken and/or plan to take, and when; 4) their social values. Knology will develop a survey instrument with adopted items and modules used in prior collaborations to develop a baseline understanding of the relationship between news consumption and attitudes about COVID-19 risk. The survey will be hosted using Qualtrics. Survey data will be gathered from a representative sample of US adults (N = 1000) recruited using the online software system, Prolific. A recent PBS NewsHour/NPR/Marist poll will be used as a baseline. Once potentially identifying information like demographics are aggregated, these formative data and topline results will be shared openly through the Knology website to support other researchers and journalists.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
This exploratory study aims to better understand how adults engage with science in the context of reallife socio-scientific issues (SSIs). Specifically, we examined how parents engage with the issue of radiation from Wi-Fi routers in schools, an issue encountered by parents across the world. Radiation from wireless internet connection (Wi-Fi) routers is a type of radio frequency electromagnetic radiation. Nowadays, exposure to RF radiation is widespread; from Wi-Fi routers in workplaces, homes, restaurants, and even buses and trains to cell phones and microwave ovens. The proliferation of
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