Please use this zoom link for the event.
Please join us for a UW Data Science Seminar event on Thursday, February 24th from 4:30 to 5:30 p.m. The seminar will feature Evan Mallen, ORISE Fellow at the Center for Disease Control and Prevention.
“Localizing data-driven climate and health adaptation: downscaling from international to individual”
Abstract: Extreme heat poses significant threats to human health as heat waves are projected to increase in intensity, duration, and frequency in a warming climate. Rising temperatures are exacerbated by the urban heat island effect, resulting in urban areas warming at double the rate of rural areas among growing cities in the United States. Heat exposure disproportionately impacts disinvested and minoritized communities and is the leading cause of weather-related deaths. To enhance resilience to extreme heat in cities, urban planners and public health practitioners are beginning to turn to data-driven decision support tools to design efficient, effective, and equitable response strategies. In this presentation, Dr. Evan Mallen will discuss his work in Georgia Tech’s Urban Climate Lab and the downscaling of climate adaptation planning from the global scale to regional, urban, neighborhood, household, and individual levels. Using state-of-the-art data science techniques such as regional climate models, building energy models, synthetic population datasets, geospatial analysis, and field observations, we can now proactively examine the effectiveness of policy-based climate adaptation strategies on personal heat exposures and public health impacts reflecting the lived experience of our daily lives. This work has directly contributed to the first heat mitigation plans in the United States and influenced both local and national climate adaptation guidance. This presentation will highlight transdisciplinary work in Atlanta, Detroit, and Phoenix, illustrating that there is no one-size-fits-all solution to heat mitigation practices. Adequate response necessitates infrastructural, behavioral, and social strategies as diverse as the climates and communities of each city.
Biography: Dr. Evan Mallen is an ORISE Fellow in the US Centers for Disease Control and Prevention Climate and Health Program. He serves on the Evaluation Team, collaborating with cities and states across the US on improving climate and health adaptations through the Climate-Ready States and Cities Initiative. Evan continues his research as Senior Analyst in Georgia Tech’s Urban Climate Lab where he focuses on urban heat island mitigation and public health response with international public, private, and academic collaborators while teaching Urban Environmental Planning & Design. In his work, Evan regularly collaborates with academic, business, and governmental partners such as Esri, the Department of Transportation, CDC, and NOAA’s National Integrated Heat Health Information System (NIHHIS) training diverse audiences on urban heat risk assessment tools and processes. He is a graduate of Georgia Tech’s City & Regional Planning doctoral program, where he studied Environmental Planning and Public Health. Evan also holds a BS in Physics and a Master of Urban Planning both from the University of Michigan, where he later served as a research associate with the Great Lakes Climate Adaptation Assessment for Cities and the Great Lakes Integrated Sciences and Assessments. Evan’s work has been covered in national and international outlets such as The New York Times, NPR, The New Yorker, The Guardian, EPA’s Heat Island Newsletter, and the US Climate Resilience Toolkit.
The UW Data Science Seminar is an annual lecture series at the University of Washington that hosts scholars working across applied areas of data science, such as the sciences, engineering, humanities and arts along with methodological areas in data science, such as computer science, applied math and statistics. Our presenters come from all domain fields and include occasional external speakers from regional partners, governmental agencies and industry.
The 2021-2022 seminars will be virtual events, and are free and open to the public.