On July 8–9, the University of Delaware HPC Bootcamp will teach you how to write a portable parallel program that can run on multicore CPUs and accelerators like GPUs. It is open to undergraduate and graduate students, faculty, staff, postdoctoral researchers, and anyone else who is interested. Register by June 23 at this webpage.
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.
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.
Congratulations to DSI Resident Faculty, Jing Gao on having her paper listed as one of the top 50 papers in earth and environmental science for 2020 with over 9000 downloads and Altimetric score of over 120. The paper entitled “Mapping global urban land for the 21st century with data-driven simulations and Shared Socioeconomic Pathways” has been published in Nature.com and discusses how data science drives new maps to predict the growth of cities over next century.
UD President Dennis Assanis speaks at the symposium on the future of data science at UD.
Serving as a nucleating effort to catalyze and coordinate data science initiatives at UD
- Coalesce researchers around Data Science research themes
- Develop competitive Data Science research programs
- Support Data Science and Computing Core Facility
- Engage students in Data Science research
- Collaborate with government and industry partners
As the vast resource of new and diverse datasets are rapidly becoming available in nearly every aspect of life, data science has the potential to advance human understanding in all branches of science and humanities, and, address grand challenges facing society. The Institute plans to combine disparate, dynamic, and distributed datasets and enable everything from predicting the future behavior of complex systems to precise medical treatments, smart energy usage, and focused educational curricula.
Resources and Funding Support
- Seed funding to support team-based research center grants, infrastructure grants and training grants
- Support researchers to identify cross-disciplinary collaborators and access to Data Science & Computing Core Facility
- Provide an inventory of data resources, computational tools, and data science-related courses/degree programs
Team Building and Networking
- Networking Events: Connecting faculty, students, industry
- Annual Research Symposium
- Seminars / Distinguished Lecture Series
- Research Workshops
- Short Courses and Training: Collaborating with academic programs
- Industry Engagement: Collaborating with OEIP and Horn Program