The gifts will endow iiD professorships, graduate fellowships in engineering, and educational programs on data-driven problem-solving, both in the classroom and in the field. It also will provide flexible funding for iiD to explore new teaching and research avenues.
Vincent Conitzer has been named a 2015 Guggenheim Fellow for his work in computational social choice, and he will receive a $50,000 grant to support his research.
Through iiD, graduate students mentor undergraduates in labs during the semester and into the summer, bringing them in on intensive, highly creative projects. This hooks undergraduates on the excitement of working with real data early in their Duke education.
Large-scale databases from the social, behavioral, and economic sciences offer enormous potential benefits to society. When made widely accessible, these databases facilitate advances in research and policy-making, enable students to develop skills at data analysis, and help ordinary citizens learn about their communities. However, as most stewards of social science data are acutely aware, wide-scale dissemination of such data can result in unintended disclosures of data subjects’ identities and sensitive attributes, thereby violating promises—and in some instances laws—to protect data subjects’ privacy and confidentiality. iiD faculty, social science faculty, and Duke OIT staff are developing new methods and infrastructure for providing access to large-scale confidential social science data. These methods have the potential to revolutionize how researchers, students, and the general public access data, helping facilitate more and deeper analyses about our society.
Today, an unprecedented amount of data is available regarding how the world uses energy. This avalanche of data presents both challenges and opportunities for engaging in energy data analytics, understanding how individuals and companies make energy decisions, and improving efficiency.