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Computing for Global Challenges

A Summer of Team Science and Global Impact

From human health to infrastructure, our world is facing enormous threats. To understand them, we need and use data. This undergraduate program is a training ground for the next generation of data-driven researchers. Working in teams with peers and scientists from the Institute's Network Systems Science and Advanced Computing division, students learn a new way to address real-world issues while working on critical research projects.

World map with spread locations

The Program

The Computing for Global Challenges program welcomes undergraduates each summer to participate in a hands-on and immersive, eight-week session that culminates in a day of student presentations featuring their research.

Where: TBD

When: June through July

Eligibility: UVA and non-UVA students may participate

Deadline: April 9, 2021

A Team Science Approach

At the Biocomplexity Institute, we embrace a transdisciplinary team science approach to research, because solving the critical issues of our time requires multiple viewpoints. As a young researcher, you can bring a new, fresh way of understanding problems to bear while working with your team and faculty mentor on a real-world issue.

FROM THEORY TO PRACTICE

As you work on real world projects, you and your peers will learn about cutting-edge software technologies and methods in machine learning, network science, agent-based simulation, data science and computational biology. You'll gain practical experience applying these methods to address pressing global challenges, from invasive species control in Nepal, to mitigating hurricane disasters in the United States and predicting the effects of policy decisions on the spread of COVID-19. Along the way, you'll also discover the ethical considerations that — we believe — must guide us as we investigate complex living systems.

Featured Student Project

Mapping Invasive Plant Species with Deep Learning

Ethan Choo, a 2019 Computing for Global Challenges intern and Computer Science student at the University of Virginia, spent his summer examining the spread of various invasive plant species in Nepal. He analyzed the impact human activity and climate change had on the spread using a deep learning model to look at and classify satellite images on plant presence or absence. 

Research Projects

Take a look at the types of projects interns, working alongside their research mentors, have been a part of in the past.