Interdisciplinary Collaborations

collage in circle

The Department of Statistical Science continuously engages in significant collaborations with other departments and units at Duke, at other universities, in government, and in industry. We wholeheartedly embrace interdisciplinary research and education; they are part of the fabric of our mission.

Some of our interdisciplinary activities manifest as joint, secondary, and affiliated appointments for Statistical Science faculty members. Others take the form of interdisciplinary projects, typically funded by grants with Statistical Science faculty as PIs and co-PIs. Others result from teaching and advising students from other departments and programs whose work naturally intersects with statistical science. Finally, we run a free consulting service for Duke researchers that serves faculty and students from across the campus.

General Areas of Interdisciplinary Collaboration
Health and Medicine
  • Cancer genomics, e.g., cancer risk modeling, cancer epidemiology, pathways and networks
  • Comparative effectiveness research
  • Epidemiology
  • Gene and protein expression analysis, molecular phenotyping, and large-scale genetic profiling in clinical studies
  • Health policy and outcomes
  • Molecular and microbial ecology
  • Protein structure prediction
  • Radiogenomics and medical imaging
Social, Economic, and Behavioral Sciences
  • Data privacy and confidentiality
  • Economic and financial time series
  • Forensic analysis
  • Homeland defense
  • Political science
  • Risk assessment and fairness in policy decisions
  • Social networks
  • Text analysis
Computing, Natural and Engineering Sciences
  • Astronomy and cosmology
  • Computational biology, ecology, physics
  • Computer simulation/numerical modeling in hydrology, volcano behavior, transportation, manufacturing, engineering
  • Data linkage
  • Evolutionary anthropology
  • High energy physics
  • Machine learning
  • Mathematics, including geometry, harmonic analysis, probability
  • Neuroscience
  • Signal processing/communications
Environmental and Ecological Sciences
  • Atmospheric chemistry
  • Climate modeling
  • Ecological forecasting, biodiversity/abundance
  • Environmental pollutant modeling, monitoring and assessment
  • Human exposure to environmental toxicants
  • Spatial analysis and imaging
Educational Activities
  • Coordination with other units on course work and degree programs
  • Development of teaching materials for introductory courses
  • Participation in cross-departmental training grants