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