The Data Science Program is affiliated with a number of faculty-led research labs across a number of different disciplines at William and Mary. DSP students are encouraged to reach out to faculty members in labs affiliated with their own interests to get hands-on research experience, or design COLL 400 capstones. Before contacting labs, it is recommended you take the core (non-elective) Data Science coursework; some labs have further recommendations. If you are a faculty member and would like to get your lab involved with the DSP, send us an email: email@example.com.
|Lab Name||Description||Programming||Course Recommendations||Contact|
|Social Networks and Political Psychology (SNaPP)||
Research topics include (learn more): public opinion, ideology, partisanship, political knowledge, participation, campaigns, the media (including social media), and polarization.
|R is the primary language used in the lab.||See here.||Jaime Settle|
|AidData Research and Evaluation (REU)
||Quantify the impacts of international aid using geospatial data, econometrics, and machine learning techniques.||You will want to be comfortable with Python, R or STATA||At least one of: Introduction to GIS, Remote Sensing, Applied Microeconometrics, Algorithms||
Ariel BenYishay (Economics)
|Computational & Experimental Linguistics Lab (CELL)||Computational and experimental research on how humans and machines learn, use, and understand language.||R and Python||
Minimum: LING 220 (Study of Language)
Upper Level: LING 380 (Computational Methods in Language Science), LING/PSYC 370 (Psycholinguistics), LING 304 (Syntax)
|Saha Lab||The overarching question that defines the research interests of my laboratory is how cells progressively acquire and maintain their unique identity during early vertebrate embryonic development.||MATLAB and Python are both commonly used.|
|Geospatial Evaluation & Observation Lab (geoLab)||Create open source geospatial data using satellite imagery and other techniques to inform decisionmaking, with a focus on climate and security.||
Variable depending on lab team you join.
|Applied Conservation & Ecological Research (ACER)||How spatial and temporal patterns of human stressors and land cover affect biodiversity.||ArcGIS and related languages (ArcPy)||GIS for Biologists|
|Computational Biology Laboratory (CBL)||Mathematical and computational aspects of cell biology and neuroscience: calcium signaling, receptor modeling, neurophysiology.||Matlab||APSC 351 Cellular Biophysics & Modeling, APSC 350 Computational Neuroscience|
|Zeta Lab||We are working on math and technology problems in data science, and building a lot of software related to analyzing and visualizing data problems.||C++, Java, and Python||CSCI 301, 304, and/or 312|