Enhancing data sciences infastructure

Author: Brandi Klingerman

Data Transmission

The Center for Social Research will be integrated with the Center for Research Computing in order to streamline the University’s data science research services.

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Annual research funding at Notre Dame tops $128 million

Author: Brandi Klingerman

Professor Amy Hixon works with an undergraduate researcher in her Stinson-Remick Lab, Department of Civil Engineering and Environmental and Earth Studies

The University of Notre Dame has received $128 million in research funding for fiscal year 2016 — the second highest in its history. In fiscal year 2015, the University’s research funding was its highest of all time, reaching $133 million.

“The research, scholarship and creativity of Notre Dame faculty continues to make a difference in multiple ways across our country and around the world,” said Rev. John I. Jenkins, C.S.C., the University’s president. “The growth in external funding is a tangible testimony to the importance of their work.”

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Cooling down Chicago: How green and cool roofs could impact urban climate

Author: Brandi Klingerman

Postdoctoral researcher Ashish Sharma stands on a green roof

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More than 50 percent of today’s population lives in cities. According to the United Nations Development Programme, that number is predicted to rise to 70 percent by 2050. Growing urbanization increases the overall temperature of a city as buildings, roads, parking lots and other infrastructure absorb heat, creating an urban heat island (UHI). A UHI causes areas like Chicago to be significantly warmer than surrounding rural areas, which threatens urban sustainability and can lead to high mortality rates and scarcity of resources as well as high electricity demands.

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Using mathematical models to fight the Zika virus

Author: Brandi Klingerman

Aedes aegypti mosquito

New research from the University of Notre Dame will be used to generate maps that provide time-sensitive, mosquito-to-human ratios that determine patterns of mosquito population dynamics for the Zika virus. The model outputs will be available online to provide users with the ability to find reported cases and estimated incidences by location of the virus to improve disease transmission and prevalence forecasts, which is critical to making accurate predictions and translating results into effective public health strategies.

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