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Introduction
Project Scientist I studying risk communication at the National Center for Atmospheric Research (NCAR)
Current institution
Publications
Publications (32)
Many geoscience departments in the United States (US) are working to recruit faculty from underrepresented groups. However, there is little information about how hiring practices are perceived by candidates. Here we address this gap by interviewing 19 geoscientists who identify as an underrepresented race, ethnicity, or gender who recently declined...
Robust quantification of predictive uncertainty is a critical addition needed for machine learning applied to weather and climate problems to improve the understanding of what is driving prediction sensitivity. Ensembles of machine learning models provide predictive uncertainty estimates in a conceptually simple way but require multiple models for...
Artificial intelligence and machine learning (AI/ML) have attracted a great deal of attention from the atmospheric science community. The explosion of attention on AI/ML development carries implications for the operational community, prompting questions about how novel AI/ML advancements will translate from research into operations. However, the fi...
As artificial intelligence (AI) methods are increasingly used to develop new guidance intended for operational use by forecasters, it is critical to evaluate whether forecasters deem the guidance trustworthy. Past trust-related AI research suggests that certain attributes (e.g., understanding how the AI was trained, interactivity, and performance)...
Artificial intelligence (AI) and machine learning (ML) pose a challenge for achieving science that is both reproducible and replicable. The challenge is compounded in supervised models that depend on manually labeled training data, as they introduce additional decision‐making and processes that require thorough documentation and reporting. We addre...
Artificial Intelligence applications are rapidly expanding across weather, climate, and natural hazards. AI can be used to assist with forecasting weather and climate risks, including forecasting both the chance that a hazard will occur and the negative impacts from it, which means AI can help protect lives, property, and livelihoods on a global sc...
Many geoscience departments are taking steps to recruit and retain faculty from underrepresented groups. Here we interview 19 geoscientists who identify as an underrepresented race or gender who recently declined a tenure-track faculty job offer. A range of key factors influenced their decisions to accept or decline a position including commitment...
The NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES) focuses on creating trustworthy AI for a variety of environmental and Earth science phenomena. AI2ES includes leading experts from AI, atmospheric and ocean science, risk communication, and education, who work synergistically to develop and tes...
Demands to manage the risks of artificial intelligence (AI) are growing. These demands and the government standards arising from them both call for trustworthy AI. In response, we adopt a convergent approach to review, evaluate, and synthesize research on the trust and trustworthiness of AI in the environmental sciences and propose a research agend...
Scientific experts can play an important role in decision-making surrounding policy for technical and value-laden issues, often in contexts that directly affect lay publics. Yet little is known about what characterizes scientific experts who want lay public involvement in decision-making. In this study, we examine how synthetic biology experts' per...
Many of our generation’s most pressing environmental science problems are wicked problems, which means they cannot be cleanly isolated and solved with a single ‘correct’ answer (e.g., Rittel 1973; Wirz 2021). The NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES) seeks to address such problems by d...
In this qualitative study, we analyze the experiences of those living in flood-prone economically constrained communities by exploring reloca-tion, risk perceptions, and communication in the context of extreme seasonal flood disasters. Our study included semi-structured interviews with residents in three communities and unstructured interviews with...
This paper synthesizes the efforts of an interdisciplinary, University-convened communication task force in the U.S. that used science communication theory to develop an effective strategy during the early stages of the COVID-19 pandemic. We outline recommendations for researchers and practitioners who are, or are interested in, implementing theory...
Effective public engagement with complex technologies requires a nuanced understanding of how different audiences make sense of and communicate disruptive technologies with immense social implications. Using latent class analysis (LCA) on nationally-representative survey data (N = 2,700), we examine public attitudes on different aspects of AI, and...
We examined initial newspaper coverage of the COVID-19 outbreak (January–May 2020) in the United States and China, countries with contrasting media systems and pandemic experiences. We join the context-rich media systems literature and the longitudinal nature of the issue-attention literature to expand each by providing more system-level context fo...
We used the 2014–2016 Ebola outbreak to examine the relationships between risk perceptions and media coverage (volume and content). We analyzed how public opinion from longitudinal U.S. panel data related to the number of published news articles and the proportion that discussed risks. News following, volume and risk content were positively related...
Deference to scientific authority theoretically captures the belief that scientists and not publics should make decisions on science in society. Few studies examine deference, however, and none test this central theoretical claim. The result is deference is often conflated with concepts such as trust in scientists and belief in the authority of sci...
Understanding how individuals perceive the barriers and benefits of precautionary actions is key for effective communication about public health crises, such as the COVID-19 outbreak. This study used innovative computational methods to analyze 30,000 open-ended responses from a large-scale survey to track how Wisconsin (U.S.A.) residents' perceptio...
Gene editing is an inherently wicked problem with no single right answer and no group uniquely positioned to decide this answer. We discuss the intricacies of the debates surrounding both plant and human applications of gene editing. Specifically, we demonstrate how one technology has developed into two separate context-driven debates
within the sc...
A bstract
This study analyzes the relationship between state-level variables and Twitter discourse on genetically modified organisms (GMOs). Using geographically identified tweets related to GMOs, we examined how the sentiments expressed about GMOs related to education levels, news coverage, proportion of rural and urban counties, state-level polit...
The objective of this study is to better understand the effects of media attention on Americans' perceptions of risk by analyzing the different media sources and outlets, or "repertoires," reported as used during the small 2016-2017 Zika outbreak in the U.S. We analyzed survey data from a four-wave longitudinal panel study over nine months-July 19,...
Since Donald Trump’s surprise victory in the 2016 US presidential election, media organizations, pundits, academics, and technology leaders are panicking not only over what they see as the sudden emergence of fake news but also over the difficulties of finding effective and sustainable solutions. But how new or even real is this idea of inaccurate...
Political conservatives are consistently more supportive of hydraulic fracturing (fracking) in the U.S., while political liberals are consistently more opposed, yet the processes shaping this division are largely unexplored. Here, we illustrate how political polarization in support for fracking can be understood by how risk and benefit perceptions...
In November of 2017, an interdisciplinary panel discussed the complexities of gene drive applications as part of the third Sackler Colloquium on “The Science of Science Communication.” The panel brought together a social scientist, life scientist, and journalist to discuss the issue from each of their unique perspectives. This paper builds on the i...
Using the Zika outbreak as a context of inquiry, this study examines how assigning blame on social media relates to the social amplification of risk framework (SARF). Past research has discussed the relationship between the SARF and traditional mass media, but the role of social media platforms in amplification or attenuation of risk perceptions re...
In May 2016, the National Academies of Sciences, Engineering, and Medicine (NASEM) released the report “Genetically Engineered Crops: Experiences and Prospects,” summarizing scientific consensus on genetically engineered crops and their implications. NASEM reports aim to give the public and policymakers information on socially relevant science issu...
We present an analysis of how citizens form attitudes about labeling nanotechnology, building on previous work on the socio-cultural dynamics under publics’ perceptions of risks and governance of emerging technologies. We examine whether individuals’ views about labeling nanotechnology products are correlated with their attitudes about genetically...
Social media and its embedded user commentary are playing increasingly influential roles in the news process. However, researchers’ understanding of the social media commenting environment remains limited, despite rising concerns over uncivil comments. Accordingly, this study used a supervised machine learning–based method of content analysis to ex...
Genetically engineered food has had its DNA, RNA, or proteins manipulated by intentional human intervention. We provide an overview of the importance and regulation of genetically engineered food and lay attitudes toward it. We first discuss the pronaturalness context in the United States and Europe that preceded the appearance of genetically engin...
