Big Data Initiative

Big Data Initiative

The Information Initiative at Duke

The Information Initiative at Duke (iiD) is a cross-school, multi-investigator, game-changing research and educational program designed to make big data make sense. iiD is organized to encourage crosspollination of ideas across disciplines, and to develop new forms of collaboration that will advance research and education across the full spectrum of disciplines at Duke.

Goals

Through this effort we aim to:

  • Catalyze breakthrough, data-driven scholarship that addresses grand challenges in health care, public policy, financial markets, education, energy and the environment, and that expands the research frontier in the computational sciences  
  • Infuse a greater degree of computational expertise into the Humanities, Social Sciences, Life Sciences and Medicine
  • Transform undergraduate and graduate teaching through the introduction of new computational programs, vertically integrated cross-disciplinary teams, and development of co-curricular opportunities  

Signature Programs

  • Data+ is a 10-week summer research experience that welcomes Duke undergraduates interested in exploring new data-driven approaches to interdisciplinary challenges. Students join small project teams, working alongside other teams in a communal environment. They learn how to marshal, analyze, and visualize data, while gaining broad exposure to the modern world of data science. Read more.
  • Data Expeditions is an element of an undergraduate course that introduces students to exploratory data analysis. This effort pairs of graduate students, often from different disciplines, work with the course instructor to formulate a question that will engage the students, and a pathway through a dataset that will provide insight. Read more.
  • Internships with Industry Partners
  • Research Projects in: Child Mental Health, Digital Humanities, Energy Data Analytics, Genomics & Life Sciences, Health Systems Operations, and Social Sciences. Read more.

Explore at: http://bigdata.duke.edu/