Papers I'm writing
Wirz, C. D., Bostrom, Cains, M. G., & Demuth, J. L. (In preparation). Using challenging scenarios and think alouds to solicit NWS forecasters’ perceptions of AI/ML guidance.
Wirz, C.D., Przybylo, Cains, M. G., Chapman, W. E., Mayer, K. J., Demuth, J. L., Sutter, C., Radford, J., Evans, A., Sulia, K., Gagne, D. J., Bostrom, A., Gaudet, L., Thorncroft, C., & Schumacher, A. (In preparation). Leveraging quantitative content analysis from social science to more systematically train supervised AI/ML models for environmental science research.
Wirz, C. D. & Krause, N. M. (In preparation). An introduction to Bayesian statistics and call to action for communication researchers.
Wirz, C. D., Howell, E. L., Scheufele, D. A., Brossard, D., & Xenos, M. A. (In preparation). Using Ambivalence to Better Understand how Perceptions of Risk and Benefit Relate to Perceptions of Technology.
A few on-going data collections and analyses
AI-Coastal forecaster study: For this study, I have led the interdisciplinary co-development of a structured, think-aloud interview guide that facilitates forecaster feedback and interrogation of AI/ML coastal fog guidance being developed. In addition to providing feedback on the AI, this interview guide also explores the rich and largely unknown theoretical space around how AI/ML guidance is communicated and perceived by expert environmental science users. Data collection is ongoing. Collaborators: Julie Demuth (NCAR); Ann Bostrom (University of Washington); Mariana Cains (NCAR); Philippe Tissot (Texas A&M University-Corpus Christi; TAMUCC); Miranda White (TAMUCC); Hamid Kamangir; (TAMUCC); Evan Krell (TAMUCC); John Williams (The Weather Company, an IBM Business); Waylon Collins (NWS); Scott King (TAMUCC).
National Weather Service (NWS) and Core Partner Research: I am currently involved in two projects led by Julie Demuth focused on understanding information needs and decision making of NWS forecasters and their core partners. I have helped analyze data from interviews with NWS forecasters, emergency managers, and transportation officials, in order to help the research team develop and refine their fire weather timing guidance. I have also been assisting in the launching, cleaning, and analysis of a survey of NWS core partners related to winter weather. Collaborators: Julie Demuth (NCAR); Robert Prestley (NCAR); Daniel Nietfeld (NOAA/GSL); Ken Fenton (NOAA/GSL); Matt Wandishin (NOAA/GSL); Travis Wilson (NOAA/GSL); Kelly Serr (NWS); Phil Schumacher (NWS); Kevin Deitsch (NWS); Peter Rogers (NWS).
PREEVENTS: I am part of a project focused on multi-scale processes impacting the predictability of severe convective weather events. I am currently assisting with a content analysis of Storm Prediction Center outlooks to better understand predictability for severe events. Collaborators: Julie Demuth (NCAR); Kelly Werner (NCAR); Ryan Sobash (NCAR); Glen Romine (NCAR); Manda Chasteen (NCAR); May Wong (NCAR); Morris Weisman (NCAR).
