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Double-Cropping

DSI Resident Faculty member, Jing Gao was a co-author on the study published in Nature Food that quantifies for the first time the impact that double-cropping had on helping Brazil achieve its national grain boom. Gao contributed to the team efforts by examining agriculture census-related data and identifying spatial patterns and changes that occurred over time in three key agricultural regions with regards to food production.

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Technology Metals at Home

DSI’s Affiliated Faculty, Saleem Ali discusses how technology metals play a pivotal role in allowing remote work during the pandemic.

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Getting to the Core of HIV Replication

DSI Affiliated Faculty, Juan Perilla uncovers the nucleotide entry mechanism, a key step in its replication, using HIV-1 viral capsid simulations on XSEDE-allocated Stampede2, Bridges, Darwin systems. This computational biophysics research, challenges the prevailing view of the viral capsid. The Darwin supercomputer, a new XSEDE-allocated resource was launched by DSI on December 2020. Dr. Perilla, received an immense amount of help from UD’s XSEDE Campus Champion, Anita Schwartz, a member of the DSI Infrastructure Working Group that maintains the DARWIN Compute and Storage System.

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Environmental Monitoring

DSI Director Cathy Wu along with DSI Faculty Council member Xiao-Hai Yan serve as the science principal investigators on a project funded by NASA EPSCoR where researchers at the UD are developing a remote sensing big data center in Delaware for cutting-edge coastal and environmental change research. Interdisciplinary co-investigators include: DSI Faculty Council members Dan Leathers and Rodrigo Vargas, DSI Resident Faculty Pinki Mondal, DSI Affiliated Faculty Tracy DeLiberty and UD Faculty A.R. Siders.

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Illicit Mineral Trade

DSI Resident Faculty members Federica Bianco, Kyle Davis, Xi Peng and Affiliated Faculty members Saleem Ali and Dawn Fallik along with UD Faculty Julie Klinger are part of a interdisciplinary team of researchers at UD attempting, for the first time, to map and model the flow of global energy-critical minerals based on original research in several source, transit, and destination countries.

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The Institute aims to accelerate research in data science, serving as a nucleating effort to catalyze interdisciplinary research collaborations across fields impacting our society.