Upcoming Events

This second lecture in the Identity & Computing Lecture Series: Understanding Racism and Bias in Computing welcomes Dr. Michele Williams, who explains how people in computing must ensure inclusion of people with disabilities. This means teaching and creating technology inclusive of people with disabilities, and going deeper in understanding how ableism causes non-disabled people to not consider disabled people in the first place.

Every representative democracy must specify a mechanism under which voters choose their representatives. The most common mechanism in the United States -- winner-take-all single-member districts -- both enables substantial partisan gerrymandering and constrains `fair' redistricting, preventing proportional representation in legislatures. We study the design of multi-member districts (MMDs), in which each district elects multiple representatives, potentially through a non-winner-takes-all voting rule. We carry out large-scale analyses for the U.S.

Minimum cut problems are among the most well-studied questions in combinatorial optimization. In this talk, I will introduce a simple but powerful new tool for solving minimum cut problems called the isolating cuts lemma. I will show how this tool can be employed to obtain faster algorithms for several fundamental min-cut problems, namely global min-cut, Steiner min-cut, and all-pairs min-cut. For these problems, the new results represent the first improvement in their runtimes in several decades.

In my talk, I will describe the work that I have been doing since March 2020, leading a multi-disciplinary team of 20+ volunteer scientists working very closely with the Presidency of the Valencian Government in Spain on 4 large areas: (1) human mobility modeling; (2) computational epidemiological models (both metapopulation, individual and LSTM-based models); (3) predictive models; and (4) citizen surveys via the COVID19impactsurvey with over 600,000 answers worldwide.

There is a categorically new way to fight disease, which could have a significant impact on not only COVID, but also future pandemics. Its origins come from math, game theory, and computer science. It's an app which is fundamentally different from every other app (and which resolves deep issues with "contact tracing apps").

Learn from the Google Engineering Site Lead in Durham, North Carolina about Google Cloud's hyper growth plans in Durham for engineering, followed by an introduction to some of the problems Cloud Networking in Durham is solving at scale.