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AbstractWeather hazards in the United States inflict both personal and economic tolls on the public. Communicating warnings about weather hazards is an important duty of TV weathercasters. Televised weather warnings are typically conveyed through live radar, live coverage, and warning scrolls. However, these traditional approaches may not be entirely effective given the limited attention some members of the public pay to these warnings. A study comparing individual responses to a traditional warning, an animated warning, and an audio warning was undertaken to evaluate the impact of delivery methods on viewer attention, retention, and preferences during viewing of severe weather warnings. A Tobii T60 eye tracker was used to document visual interactions with on-screen warnings and surveys were used to collect evidence of warning retention and preference. Demographic variables were also collected to describe the study population. Results indicate that viewers of the animated warning retained more pertinent information about the tornado warning than viewers of the traditional warning, and retention during the traditional warning was equivalent to that of the audio warning. In addition, gaze patterns for the traditional warning were much more diffuse than for the animated warning, suggesting that attention was more focused on the animation than the live video. In addition, modifications to reduce visual complexity of traditional warnings may positively impact viewer attention to individual warning elements. Future studies will consider the effectiveness of a hybrid warning containing both traditional and animated components. The current research study can be used to advance current severe weather warning communication techniques and increase public awareness during severe weather events.

AbstractEngagements between climate scientists and communities feature challenges but are also essential for successfully preparing for climate change. This is particularly true for indigenous peoples who are proactively responding to the threats that climate change poses by engaging in collaborations with climate decision-support organizations. The potential for risks and rewards associated with engagements like these makes developing tools for comprehensively, consistently, and equitably assessing cross-cultural climate collaborations a critical challenge. This paper describes a multicultural team's efforts to develop a survey that can assess collaborations between Native American tribes in the United States and climate science organizations. In the process, the developing survey's oscillations between acting as a boundary object and acting as an epistemic object in the project revealed common ground as well as existing differences across the cultural, disciplinary, and professional divides involved. Delphi expert elicitation was shown to be an effective approach for negotiating a cross-cultural research effort like this one because of its ability to establish consensus while delineating gaps. This experience highlights that assessing cross-cultural climate collaborations requires that both researchers and the tools that they use have the capacity to identify both common ground and distinctions between climate scientists and the communities with which they collaborate.

Abstract
Climate scientists are increasingly called upon to collaborate with policy makers to develop climate science–informed policy decisions. However, there are concerns that existing professional and cultural boundaries will remain persistent barriers to fulfilling the potential promise of these collaborations. The perception that scientists will be learning by doing while pursuing these efforts does little to assuage these concerns because more research is needed into how scientists actually learn to collaborate more effectively. Using interviews with 18 individuals identified by their peers as particularly successful participants in collaborations between Native American Tribes and climate science organizations, this paper offers suggested practices and examines learning processes underlying the development of these suggestions. The development of the list of suggested practices highlights the extent to which having the right attitude, taking the right actions, and cultivating the right processes are intertwined factors associated with success in these collaborations. Analysis of the learning processes underlying interviewees' suggestions for suggested practices offered five sources of information that frequently led interviewees to reflect on their experiences and gain new knowledge from them. Despite these common trends, each interviewee described a reflection system that they had cultivated to continually monitor and enhance their work in collaborations that was personalized and distinctive from those the other interviewees used. Increased attention to these tailored reflection systems offers a path forward for understanding how experiential learning can most effectively enhance climate change decision support.

Indigenous peoples develop and utilise climate science resources to address climate change impacts, and climate scientists often collaborate on such projects. Little is known about whether climate science organisations (CSOs) adequately train their staff to work ethically with Indigenous peoples, promoting benefits for Tribes while reducing harms. To research this training, we conducted interviews with CSO employees (n=9) and Native American Tribal citizens (n=7). Thematic content analysis revealed that many challenges, benefits and common goals exist for both groups. Tribes were more likely to discuss challenges, focusing on trust and capacity building. CSOs were more likely to discuss benefits, focusing on information exchange. Both CSOs and Tribes provide training activities for CSO employees, but training programs are not mandated or consistent across employees and organisations, and they are typically not evaluated. Our research indicates a need for co-created and evaluated training programs which take into account the challenges faced in cross-cultural partnerships.
Keywordsclimate change, Indigenous peoples, community engagement, tribally driven participatory research, ethics, STEM education

AbstractThe coronavirus disease 2019 pandemic highlighted the need for more rapid and routine application of modeling approaches such as quantitative microbial risk assessment (QMRA) for protecting public health. QMRA is a transdisciplinary science dedicated to understanding, predicting, and mitigating infectious disease risks. To better equip QMRA researchers to inform policy and public health management, an Advances in Research for QMRA workshop was held to synthesize a path forward for QMRA research. We summarize insights from 41 QMRA researchers and experts to clarify the role of QMRA in risk analysis by (1) identifying key research needs, (2) highlighting emerging applications of QMRA; and (3) describing data needs and key scientific efforts to improve the science of QMRA. Key identified research priorities included using molecular tools in QMRA, advancing dose–response methodology, addressing needed exposure assessments, harmonizing environmental monitoring for QMRA, unifying a divide between disease transmission and QMRA models, calibrating and/or validating QMRA models, modeling co‐exposures and mixtures, and standardizing practices for incorporating variability and uncertainty throughout the source‐to‐outcome continuum. Cross‐cutting needs identified were to: develop a community of research and practice, integrate QMRA with other scientific approaches, increase QMRA translation and impacts, build communication strategies, and encourage sustainable funding mechanisms. Ultimately, a vision for advancing the science of QMRA is outlined for informing national to global health assessments, controls, and policies.