Featured Post from University of Delaware

The road to heat resilience

Feb 14, 2024

2 min

Dana E. VeronA.R. Siders


University of Delaware researchers are leading a heat mapping project to address the urban heat island effect caused by climate change. Dana Veron and A.R. Siders, co-directors of the Gerard J. Mangone Climate Change Science and Policy Hub, have laid out a plan of action that aims to understand the heat distribution, particularly in vulnerable communities.


According to the Natural Resources Defense Council, extreme heat is the number one cause of weather-related death in the United States, making urban heat islands a significant public health concern.


In an effort to tackle this issue head on, Veron and Siders – who are also professors at UD – have been working with UD’s Center for Environmental Monitoring and Analysis (CEMA) and Delaware’s Department of Natural Resources and Environmental Control (DNREC) to map heat in Wilmington, Delaware.



The 2023 WiST (Wilmington and Surrounding Townships) Heat Watch has been in the works since late 2021. The initial proposals were developed by CEMA and DNREC. UD’s Climate Hub became the coordinating entity soon after.


“This was our first externally funded project that allowed the Hub to serve the role we envisioned for it, as a central point of contact and communication, a facilitator networking amongst many partners across different sectors,” said Dana Veron,


High heat-absorbance in urban areas leads to increased energy consumption, emissions, and strains on energy systems. The mapping project is part of a broader trend in urban sustainability planning and cooling strategies, driven by the need to mitigate the urban heat island effect.


The researchers anticipate using the data to influence future city planning, incorporating green infrastructure to reduce the urban heat island effect. The Climate Hub team plans to present the preliminary results in a virtual town hall meeting, emphasizing the importance of community engagement and collaboration in addressing climate-related challenges. The campaign demonstrates the potential for universities to lead collaborative efforts and engage students in climate research and community outreach.


Dozens of other Heat Watch campaign teams have incorporated their findings into climate and heat mitigation strategies. In Virginia, Richmond officials have made heat vulnerability and urban heat islands a determining factor in their upcoming city and sustainability planning endeavors. In New Jersey, the city of Newark introduced several proposals offering equitable solutions to heat emergencies, including increased funding for cooling centers and urban green spaces.


Every Heat Watch mapping campaign develops a report detailing heat distribution across the target city. Digital maps that display predictive heat-index models mindful of land coverage and topography are also publicly released.


“This is the beginning of the work,” said Veron. “All the partners are anxious to get the map because what’s really exciting is what happens next.”


To set up an interview with Veron or Siders, visit their profiles and click the "contact" button.

Connect with:
Dana E. Veron

Dana E. Veron

Professor, Geography and Spacial Sciences; Co-Director, Gerard J. Mangone Climate Change Science and Policy Hub

Prof. Veron's research interests include climate change impacts, polar and coastal climate and climate change education.

climate educationsea breezePolar climateCoastal MeteorologyOffshore wind power
A.R. Siders

A.R. Siders

Director, Climate Change Science & Policy Hub | Core Faculty, Disaster Research Center | Associate Professor, Biden School of Public Policy and Administration & Department of Geography & Spatial Sciences

Prof. Siders' research focuses on climate change adaptation policies with an emphasis on relocation and fairness in adaptation.

Environmental Video GamesClimate ChangeClimate Change Adaptation PoliciesClimate-related HazardsEnvironmental Justice

You might also like...

Check out some other posts from University of Delaware

2 min

Hidden in plain sight: UD researcher exposes gaps in college application process

In a groundbreaking study in the American Educational Research Journal, University of Delaware Associate Professor Dominique Baker has unveiled significant disparities in how students report extracurricular activities on college applications, highlighting inequities in the admissions process.​ Analyzing over 6 million Common App submissions using natural language processing, Baker and her team discovered that white, Asian, wealthier, and private-school students tend to list more activities, leadership roles, and unique accomplishments compared to their peers from underrepresented racial, ethnic, and socioeconomic backgrounds. However, when underrepresented minority students did report leadership roles, they did so at rates comparable to their white and Asian American counterparts.​ “All students do not have the ability to sign up for eight, 10 or 15 extracurricular activities,” Baker noted, emphasizing that many students must work to support their families, limiting their participation in extracurriculars.​ To address these disparities, Baker recommends reducing the number of activities students can list on applications—suggesting a cap of four or five—to encourage a focus on the quality and intensity of involvement rather than quantity. This approach aims to level the playing field, ensuring that students with limited opportunities can still showcase their potential effectively.​ Institutions are beginning to take note; for instance, Lafayette College has recently reduced the number of extracurricular activities it reviews from 10 to six. While data on the impact of such changes is still forthcoming, the move aligns with Baker’s recommendations and signals a shift toward more fair admissions practices.​ If you wish to delve deeper into this research and explore its implications for college admissions, Baker is available for interviews and has been in a number of national outlets like The Wall Street Journal, ABC News, and Inside Higher Ed. Her insights could provide valuable perspectives on creating a more fair admissions landscape.

2 min

Researchers laying the groundwork to eventually detect cerebral palsy via blood test

At the University of Delaware, molecular biologist Mona Batish in collaboration with Dr. Robert Akins at Nemours Children Hospital, is studying tiny loops in our cells called circular RNAs — once thought to be useless leftovers, but now believed to play an important role in diseases like cancer and cerebral palsy (CP). This is detailed in a new article in the Journal of Biological Chemistry. What are circular RNAs? They’re a special type of RNA that doesn’t make proteins but instead helps control how genes are turned on and off. Because they’re stable and can be found in blood, they may help doctors detect diseases more easily. So what’s the connection to cerebral palsy? CP is the most common physical disability in children, but right now it’s diagnosed only after symptoms appear — there’s no clear-cut test for it. Batish and her team are trying to change that. Working with researchers at Nemours Children’s Health, Batish discovered that in children with CP, a certain circular RNA — circNFIX — is found at much lower levels in muscle cells. This RNA normally helps the body make an important muscle-building protein called MEF2C. When circNFIX is missing or low, MEF2C isn’t made properly, which may lead to the weakened, shorter muscles seen in CP. This is the first time researchers have shown a link between circular RNAs and human muscle development in cerebral palsy. Why does this matter? If scientists can confirm this link, it could lead to: Earlier and more accurate diagnosis of CP using a simple blood test New treatments that help improve muscle development in affected children Batish’s ultimate goal? To create a test that can spot CP at birth — or even before — giving kids a better shot at early treatment and a higher quality of life. To speak to Batish, contact mediarelations@udel.edu. 

3 min

AI-powered model predicts post-concussion injury risk in college athletes

Athletes who suffer a concussion have a serious risk of reinjury after returning to play, but identifying which athletes are most vulnerable has always been a bit of a mystery, until now. Using artificial intelligence (AI), University of Delaware researchers have developed a novel machine learning model that predicts an athlete’s risk of lower-extremity musculoskeletal (MKS) injury after concussion with 95% accuracy. A recent study published in Sports Medicine details the development of the AI model, which builds on previously published research showing that the risk of post-concussion injury doubles, regardless of the sport. The most common post-concussive injuries include sprains, strains, or even broken bones or torn ACLs. “This is due to brain changes we see post-concussion,” said Thomas Buckley, professor of kinesiology and applied physiology at the College of Health Sciences. These brain changes affect athletes’ balance, cognition, and reaction times and can be difficult to detect in standard clinical testing. “Even a minuscule difference in balance, reaction time, or cognitive processing of what’s happening around you can make the difference between getting hurt and not,” Buckley said. How AI is changing injury risk assessment Recognizing the need for enhanced injury reduction risk tools, Buckley collaborated with colleagues in UD’s College of Engineering, Austin Brockmeier, assistant professor of electrical and computer engineering, and César Claros, a fourth-year doctoral student; Wei Qian, associate professor of statistics in the College of Agriculture and Natural Resources; and former KAAP postdoctoral fellow Melissa Anderson, who’s now an assistant professor at Ohio University. To assess injury risk, Brockmeier and Claros developed a comprehensive AI model that analyzes more than 100 variables, including sports and medical histories, concussion type, and pre- and post-concussion cognitive data. “Every athlete is unique, especially across various sports,” said Brockmeier. “Tracking an athlete’s performance over time, rather than relying on absolute values, helps identify disturbances, deviations, or deficits that, when compared to their baseline, may signal an increased risk of injury.” While some sports, such as football, carry higher injury risk, the model revealed that individual factors are just as important as the sport played. “We tested a version of the model that doesn’t have access to the athlete’s sport, and it still accurately predicted injury risk,” Brockmeier said. “This highlights how unique characteristics—not just the inherent risks of a sport—play a critical role in determining the likelihood of future injury,” said Brockmeier. The research, which tracked athletes over two years, also found that the risk of MSK injury post-concussion extends well into the athlete’s return to play. “Common sense would suggest that injuries would occur early in an athlete’s return to play, but that’s simply not true,” said Buckley. “Our research shows that the risk of future injury increases over time as athletes compensate and adapt to small deficits they may not even be aware of.” The next step for Buckey’s Concussion Research Lab is to further collaborate with UD Athletics’ strength and conditioning staff to design real-time interventions that could reduce injury risk. Beyond sports: AI’s potential in aging research The implications of the UD-developed machine-learning model extend far beyond sports. Brockmeier believes the algorithm could be used to predict fall risk in patients with Parkinson’s disease. Claros is also exploring how the injury risk reduction model can be applied to aging research with the Delaware Center for Cognitive Aging. “We want to use brain measurements to investigate whether baseline lifestyle measurements such as weight, BMI, and smoking history are predictive of future mild cognitive impairment or Alzheimer’s disease,” said Claros. To arrange an interview with Buckley, email UD's media relations team at MediaRelations@udel.edu

View all posts
Powered by