Duke Vest Scholar Jure Sokolic has been working with iiD's Guillermo Sapiro and his research team to better understand how machine learning is being used in their research.
Research projects that explore new possibilities for energy storage, reliability, and sustainable development will receive funding in 2017 from the Duke University Energy Initiative’s Energy Research Seed Fund. iiD helped fund these grants, and researchers associated with our group also received funding through the program.
Dr. Guillermo Sapiro was awarded the Stansell Family Distinguished Research Award last Friday, April 21. The Distinguished Research Award is given each year to an outstanding researcher nominated by the department chairs and selected by a faculty committee.
To help spur advances in the increasingly important fields of optimization, uncertainty, and data, Duke hosted its inaugural “Optimization Under Uncertainty and Data-Driven Science and Engineering” symposium at the Washington Duke Inn on April 13-14, 2017.
Jonathan Mattingly's iiD projects on gerrymandering recently resulted in a published paper on the topic in Arxiv. The paper represents the most comprehensive analysis of the team's work and was the basis of Mattingly's expert testimony for the Common Cause Law suit against North Carolina for partisan gerrymandering.
Among the paper's authors are four undergraduates, a graduate student and a post-doctoral student.
The Harlem Lacrosse team visited the Information Initiative at Duke and learned from Professor Guillermo Sapiro about image processing, global health, and how Duke and Duke Science is involved in helping society.
Data+ 2016 participants Morton Mo and Lindsay Hirschhorn followed up with us recently to share how their participation in Data+ has helped them find jobs in data science after the program wrapped up in the summer of 2016. While each student had a very different experience, the one thing they share is the edge that Data+ gave their resumes, and got them the job!
Data+ 2017 has accepted 70 students to research and work in interdisciplinary project teams over the summer, starting May 22. The program will run 10 weeks, during which project teams will work on data provided by their clients and learn to marshal, analyze, and visualize that data based on the client’s goals for each project. "This year it was a very large applicant pool, and it was hard to make all of these decisions," Co-Director Paul Bendich says.
Duke University seeks exceptional candidates for the upcoming Duke Data Science Postdoctoral Fellowship. This competitive fellowship will provide three years of support for an outstanding scholar with established academic excellence in a quantitative science including (but not limited to) statistics, computer science, engineering or math who seeks to broaden their impact both within and outside of academia by working across disciplines and sectors to solve pressing social science problems.
Women in Machine Learning recently highlighted the work of iiD’s Rebecca Steorts.