Data and Tools
One of the ways IPPRA researchers optimize their research impact is by utilizing ShinyApp.io to dynamically present and make accessible our findings. Using Shiny's framework, our researchers can convert R-based analyses into engaging web applications, fostering a user-friendly experience for stakeholders and collaborators.
IPPRA researchers create interactive dashboards, tailor plots, and develop customized data-driven applications, effectively showcasing intricate research outputs. This not only narrows the gap between sophisticated statistical analyses and a wider audience but also promotes collaboration and facilitates the dissemination of knowledge. This straightforward deployment ensures effortless online sharing of IPPRA's interactive research applications, enhancing transparency, accessibility, and the effective communication of insights.
Fusion Energy Socio-Technical Observatory
FESTO
The Fusion Energy Socio-Technical Observatory reports how the public and fusion experts perceive the risks, costs, benefits, and future of fusion energy—and where those perspectives diverge. It draws on three complementary surveys, pairs the closed-ended results with open-response text, and includes a Comparisons view that sets public and expert answers side by side. A project of IPPRA, supported by the U.S. Department of Energy.
Launch FESTO → (opens in a new tab)Extreme Weather and Society Surveys
WxDash
The Wx Dashboard reports survey results from IPPRA's series of Extreme Weather and Society Surveys. It includes analysis on how members of the US public receive, use and understand information on various types of hazards, like tornadoes and hurricanes, and the National Weather Service products associated with those hazards. The Extreme Weather and Society Survey series has collected data on the severe weather context since 2017 and added in tropical and winter weather since then with more hazard-specific surveys on the way. The dashboard gives NWS forecasters and others in the weather, water and climate community insight into public perception, comprehension and response of weather-related risk communications with data that can be broken down in a variety of ways to answers the questions that users of the dashboard might have.
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Launch WxDash → (opens in a new tab)Oklahoma Panel Survey
S3OK
The S3OK dashboard displays results from a panel survey of over 3,500 Oklahomans who are surveyed twice a year and asked questions with the goal of finding social sustainable solutions for water, carbon and infrastructure problems facing the state. The dashboard breaks the questions down into different categories, like "policy narratives" and "trust," and includes information on recent hot topic, like Eastern Red Cedar encroachment. Users can also explore how responses differ by demographics. The S3OK project is part of a statewide partnership through the OK NSF EPSCoR grant.
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Launch S3OK → (opens in a new tab)Probabilistic Communication Literature
ProbCom
The ProbCom dashboard was created to serve as a living review of the literature surrounding probabilistic communication and the weather enterprise. The initial lit review looked at thousands of articles and identified almost 400 that were relevant to the ways probabilistic information is communicated with the public and the way the public understands probability. As a "living" literature review, the dashboard will be updated periodically with more relevant articles. Visitors to the dashboard can use its features to find relevant articles to questions they may have around probabilistic communication.
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Launch ProbCom → (opens in a new tab)COVID-19 Weekly Surveys, 2020–2021
CovDash
The COVID-19 dashboard reports results from weekly surveys that were done during the early phases of COVID-19 in the US (March 2020 - March 2021). It provides interactive access to survey data that track public risk perceptions, knowledge, and protective action behaviors in response COVID-19. It also includes data on misinformation and trust in key agencies/actors during that time period. The project was funded by an NSF Rapid Grant.
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