2020 ESA Annual Meeting (August 3 - 6)

OOS 37 - Web-Based Interactive Visualization Applications and Decision Support Tools for Actionable Science

Wednesday, August 5, 2020: 3:30 PM-4:00 PM
Organizer:
Denis Valle
Co-organizers:
Mitch Weegman and Masami Fujiwara
Moderator:
Denis Valle
There has often been a persistent disconnect between science and decision making. While there are multiple reasons for this gap, one important reason is the lack of tools that can be effectively used by decision makers to translate scientific findings into interpretable results. In particular, it has been widely acknowledged that traditional scientific articles are not an effective way to communicate the practical implications of complex analyses to policymakers and practitioners. There is an emerging interest on the use of interactive graphics to improve the communication of scientific results (Stanton Jr. et al. 2017). However, we believe that the potential of extending interactive figures into decision support tool prototypes, which can better bridge this communication gap and generate more actionable science, is still under-appreciated. In this organized oral session, we propose to bring together researchers and practitioners at the forefront of developing web-based interactive visualization applications and decision support tools. Individual case studies will highlight the methods employed, the results achieved, and the challenges associated with developing these tools together with stakeholders. Importantly, we will also explore how the quantitative ecology community can better engage with these ideas to more effectively deliver scientific information to conservation practitioners, managers, policymakers and the public. Our confirmed speakers represent cutting-edge work being done at consulting firms (EcoQuants LLC), large technology companies (Microsoft), and universities (Boston University, University of Minnesota, University of Nebraska-Lincoln, and University of Florida).
3:30 PM
Improving data visualization understandability through user testing
Melissa A. Kenney, University of Minnesota; Michael D. Gerst, University of Maryland
3:45 PM
Machine learning for decision support in wildlife conservation and land management
Dan Morris, Microsoft AI for Earth; Siyu Yang, Microsoft AI for Earth; Caleb Robinson, Microsoft AI for Earth; Nebojsa Jojic, Microsoft Research
4:15 PM
Generalized visualizations for near-term ecological forecasts: Improving forecasting and supporting decisions through the NEFI ShinyApp
Katherine A. Zarada, Boston University; Michael C. Dietze, Boston University; Kathryn I. Wheeler, Boston University; Abraham Matta, Boston University; Alexander Farra, Boston University; Ali Raza, Boston University; Nabeel Akhtar, Boston University
4:30 PM
Shiny birds: Decision support tools for conservation science and practice
Lyndsie Wszola, University of Nebraska-Lincoln
4:45 PM
Bridging the gap between science and decision-making through the rapid prototyping of decision support tools
Denis Valle, University of Florida; Lyndsie Wszola, University of Nebraska-Lincoln; Jessica Burnett, U.S. Geological Survey