Research projects at iiD focus on building connections. We 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. The topics below show areas of research focus at iiD. See all of our research.
Child Mental Health
This program derives new insight into child social interactions, enabling earlier diagnosis of anxiety and autism, and improvement of current assessment protocols. Participants are developing age and development appropriate probes together with software that makes it possible to automatically capture and clinically annotate vast amounts of video.
Redefines what is meant by liberal arts education by reducing boundaries between the mathematical sciences and the arts. It aims to make Duke University the worldwide center for education that links science, technology, engineering, the arts and mathematics (STEAM).
Energy Data Analytics
This program is a partnership with the Duke Energy Initiative that derives insight into energy usage decisions and patterns with the goal of improving energy efficiency. An opportunity of particular interest is the modernization of the U.S. electric grid, and the large scale installation of advanced metering technologies and two-way communication capabilities.
Genomics and the Life Sciences
This program improves the effectiveness of personalized medicine by developing new methods to fully and rigorously integrate the genomic information, personal and disease history, health system and psychosocial characteristics, and individual preferences and choices. It balances the value that accrues from integrating data with privacy concerns.
Health Systems Operations
This program accelerates deployment of personalized healthcare by fusing the excellence and opportunities unique to the Duke Medical Center with the iiD strengths in big-data analysis and discovery.
This program applies methods for data science to improve the analysis of data from the social sciences. Primary emphases include improved methodolgy government statistics, approaches and infrastructure for accessing large-scale confidential data, and reliable methods for linking records across databases when error-free, unique identifiers are not available.