Research - CDWirz

Under review

Wirz, C. D., Demuth, J. L., Bostrom, A., Cains, M. G., Ebert-Uphoff, I., Gagne, D. J., Schumacher, A., McGovern, A., & Madlambayan, D. (Under review). (Re)Conceptualizing trustworthy AI as perceptual and context-dependent: A foundation for change.

Bostrom, A., Demuth, J. L., Wirz, C. D., […]. (Under Review). Trust and Trustworthy Artificial Intelligence: A Research Agenda for AI in the Environmental Sciences.

Accepted/forthcoming

[18] McGovern, A., Gagne, D. J., Wirz, C. D., Ebert-Uphoff, I., Bostrom A., Rao, Y., Schumacher A., Flora, M., Chase, R., Mamalakis, A., McGraw, M., Lagerquist, R., Robert J. Redmon, R. J., & Peterson, T. (Forthcoming). Trustworthy Artificial Intelligence for Environmental Sciences: An Innovative Approach for Summer School. Bulletin of the American Meteorological Society (BAMS).

[17] Wirz, C. D., Howell, E. L., Scheufele, D. A., Brossard, D., & Xenos, M. A. (Forthcoming). Examining expertise: Synthetic biology experts’ perceptions of risk, benefit, and the public for research and applications regulation. Public Understanding of Science.

Published

[16] Wirz, C.D., Brossard, D., Curtis, K., Block, P. (2023). The risk of relocation: Risk perceptions and communication surrounding the tradeoffs between floods and economic opportunities in Iquitos, Peru. The Journal of Risk Research. https://doi.org/10.1080/13669877.2022.2077413

[15] Wirz, C. D., Cate, A., Brauer, M., Brossard, D., Brown, L. D., Chen, K., Ho, P., Luter, D. G., Madden, H., Schoenborn, S., Shaw, B., Sprinkel, C., Stanley, D., & Sumi, G. (2022). Science communication during COVID-19: When theory meets best practices and best practices meet reality. Journal of Science Communication. https://doi.org/10.22323/2.21030801

[14] Bao, L., Krause, N. M., Calice, M. N., Scheufele, D. A., Wirz, C. D., Brossard, D., Newman, T. P., & Xenos, M. A. (2022). Whose AI? How different publics think about AI and its social impacts. Computers in Human Behavior. DOI: 10.1177/14614448211034159

[13] Wirz, C. D., Shao, A., Bao, L., Howell, E. L., Monroe, H., & Chen, K. (2021). Media Systems and Attention Cycles: Volume and Topics of News Coverage on COVID-19 in the United States and China: Journalism & Mass Communication Quarterly. https://doi.org/10.1177/10776990211049455

[12] Wirz, C. D., Mayorga, M., & Johnson, B. B. (2021) Evaluating the Effects of News-following, Volume and Content of News Coverage on Americans’ Risk Perceptions during the 2014-2016 Ebola Outbreak, Journal of Health Communication, 26:5, 328-338, DOI: 10.1080/10810730.2021.1927257

[11] Howell, E. L., Wirz, C. D., Scheufele, D. A., Brossard, D. & Xenos, M. A. (2020). Deference & decision-making in science & society: How deference to scientific authority goes beyond confidence in science & scientists to become authoritarianism. Public Understanding of Science.

[10] Chen, K., Bao, L., Shao, A., Ho, P., Yang, S., Wirz, C., Brossard, D., Brauer, M., & Diprete Brown, L. (2020). How public perceptions of social distancing evolved over a critical time period: communication lessons learnt from the American state of Wisconsin. Journal of Science Communication, 19(5), A11.

[9] Wirz, C. D., Howell, E. L., Brossard, D., Xenos, M. A., & Scheufele, D. A. (2020). The state of GMOs on social media: An analysis of state-level variables and discourse on Twitter in the United States. Politics and the Life Sciences, 1-16. https://doi.org/10.1017/pls.2020.15

[8] Wirz, C. D., Mayorga, M., & Johnson, B. B. (2020). A Longitudinal Analysis of Americans’ Media Sources, Risk Perceptions, and Judged Need for Action during the Zika Outbreak. Health Communication, 1-10. https://doi.org/10.1080/10410236.2020.1773707

[7] Howell, E. L., Wirz, C. D., Brossard, D., Scheufele, D. A., & Xenos, M. A. (2019). Seeing through risk-colored glasses: Risk and benefit perceptions, knowledge, and the politics of fracking in the United States. Energy Research & Social Science, 55, 168-178. doi: https://doi.org/10.1016/j.erss.2019.05.020

[6] Brossard, D., Belluck, P., Gould, F., & Wirz, C. D. (2019). Promises and perils of gene drives: Navigating the communication of complex, post-normal science. Proceedings of the National Academy of Sciences, 116(16). doi:10.1073/pnas.1805874115.

[5] Akin, H., Yeo, S. K., Wirz, C. D., Scheufele, D. A., Brossard, D., Xenos, M. A., & Corley, E. A. (2019). Are attitudes toward labeling nano products linked to attitudes toward GMO? Exploring a potential “spillover” effect for attitudes toward controversial technologies. Journal of Responsible Innovation, 6(1), 50-74. doi: 10.1080/23299460.2018.1495026

[4] Wirz, C. D., Xenos, M. A., Brossard, D., Scheufele, D., Chung, J. H., & Massarani, L. (2018). Rethinking social amplification of risk: Social media and Zika in three languages. Risk Analysis. 38(12), 2599-2624. doi:10.1111/risa.13228

[3] Scott, S. E., Inbar, Y., Wirz, C. D., Brossard, D., & Rozin, P. (2018). An overview of attitudes to genetically engineered foods. Annual Review of Nutrition, 38(1), 459-479. doi:10.1146/annurev-nutr-071715-051223

[2] Howell, E. L., Wirz, C. D., Brossard, D., Jamieson, K. H., Scheufele, D. A., Winneg, K. M., & Xenos, M. A. (2018). National Academy of Sciences report on genetically engineered crops influences public discourse. Politics and the Life Sciences. 37(2), 250-261. doi: 10.1017/pls.2018.12

[1] Su, L. Y.-F., Xenos, M. A., Rose, K. M., Wirz, C., Scheufele, D. A., & Brossard, D. (2018). Uncivil and personal? Comparing patterns of incivility in comments on the Facebook pages of news outlets. New Media & Society. doi: 10.1177/1461444818757205 .

Cutcher-Gershenfeld, J. […], Wirz, C.D. (2023). Ethical and Responsible Use of AI/ML in the Earth, Space, and Environmental Sciences. American Geophysical Union.

Wirz, C. D., Cains, M. G., Madlambayan, D., Demuth, J. L. & Bostrom, A. (2022). Trust and trustworthiness codebook for content analysis: An example from NWS Forecaster interviews about AI. Zenodo. https://doi.org/10.5281/zenodo.7113671

Wirz, C. D. & Brossard, D. (2022). An introduction to misinformation and environmental communication. In The Routledge handbook of environment and communication (Second edition). Routledge.

Wirz, C. D., Scheufele, D. A., & Brossard, D. (2020). Societal debates about emerging genetic technologies: Toward a science of public engagement. Environmental Communication, 14(7), 859-864. doi: 10.1080/17524032.2020.1811478

Roland, H.B., Lee, D., Wirz, C.D., Curtis, K.J., Malecki, K., Brossard, D., & Block, P. (Febrero de 2021). Stakeholders’ Perspectives on Flood Risk and Vulnerability in Peru. Un informe del proyecto 2020 de la Universidad de Wisconsin-Madison: Development of a Forecast-based Flood and Health Risk Management System to Support Advanced Disaster Preparedness.

Krause, N., Wirz, C. D., Scheufele, D. A., & Xenos, M. A. (2019). Fake real news and real fake news: Clarifying a not-so-new phenomenon. In J. E. Katz (Ed.), Social Media and Journalism's Search for the Truth. Oxford University Press.

Wirz, C. D. & Demuth, J. L. (2023, January). A Study of Risk Communication with NWS Forecasters, Core Partners, and the Public during the December 10-11, 2021 Tornadoes in the Paducah, KY CWA. Paper presented at the annual conference of the American Meteorological Society (AMS), Denver, CO.

Cains, M. G., Wirz, C. D., Demuth, J. L.; Bostrom, A., McGovern, A., Ebert-Uphoff, I., Gagne, D. J., Burke, A., & Sobash, R. (2023). Exploring what AI/ML guidance features NWS forecasters deem trustworthy. Paper presented at the annual conference of the American Meteorological Society (AMS), Denver, CO.

Sutter, C., Sulia, C. K., Przybylo, V., Bassill, N. P., Thorncroft, C. D., Wirz, C. D., & Cains, M. G. (2023). Automated Detection of Road Conditions from Department of Transportation Camera Images. Paper presented at the annual conference of the American Meteorological Society (AMS), Denver, CO.

Przybylo, V., Sulia, C. K., Sutter, C., Wirz, C. D., & Cains, M. G. (2023). Detecting the Presence of Precipitation in New York State Mesonet Imagery at Night using Convolutional Neural Networks. Paper presented at the annual conference of the American Meteorological Society (AMS), Denver, CO.

McGovern, A., Gagne, D. J., Ebert-Uphoff, I., Bostrom, A., Wirz, C. D., Chase, R, Fagg, A. H., & Barnes, E. A. (2023). Creating Personalized Learning Journeys for All Levels of Learning in AI with Applications to Weather and Climate. Paper presented at the annual conference of the American Meteorological Society (AMS), Denver, CO.

Gagne, D. J., Becker, C., Bharathi, P., Cains, M. G., Chapman, W. E., Gantos G., Kim, E., Martin, T., Molina, M. J., Schreck, J., Wilde, K., Willson, J., Wirz, C. D. & Zheng, Z. (2023). Machine Learning Opportunities and Challenges from the NCAR Analytics and Integrative Machine Learning Group. Paper presented at the annual conference of the American Meteorological Society (AMS), Denver, CO.

Serr, K., Rogers, P., Deitsch, K., Demuth, J. L., Schumacher, P. N., Prestley, R. W. & Wirz, C. D. (2023). How NWS Partners Use and Understand Snowfall Probabilities: Part II - Survey Results. Paper presented at the annual conference of the American Meteorological Society (AMS), Denver, CO.

Wirz, C. D., Demuth, J. L., Cains, M. G., Bostrom, A., Schumacher, A., & Madlambayan, D. (2022, December). (Re)Conceptualizing the trustworthiness of AI as perceptual and context-dependent. Paper presented at the annual convention of the Society for Risk Analysis (SRA), Tampa, FL.

Wirz, C. D. & Demuth, J. L. (2022, October). Risk Communication of “The Beast.” A study of the December 10-11, 2021 tornadoes in the Paducah, KY CWA. Paper presented at the Severe Local Storms (SLS) Conference of the American Meteorological Society (AMS), Santa Fe, NM.

Cains, M. G., Wirz, C. D., Demuth, J. L.; Bostrom, A., McGovern, A., Ebert-Uphoff, I., Gagne, D. J., Burke, A., & Sobash, R. (2022). NWS Forecasters’ Perceptions and Potential Uses of Trustworthy AI/ML for Hazardous Weather Risks. 21st Conference on Artificial Intelligence for Environmental Science, Houston, TX, American Meteorological Society.