BDSS-IGERT is a collaboration of the social, computational, statistical, and visual sciences. For more information or to talk with someone about the program, connect here.
As part of the BDSS-IGERT traineeship, IGERT Trainees will engage in a full disciplinary PhD program in one of the areas listed above, as well as in multidisciplinary curriculum that spans these areas.
The curriculum includes:
Core seminars for all IGERT Students. (Beginning 2014)
- Approaches and Issues in Big Social Data
- Approaches and Issues in Social Data Analytics
Analytics distribution, one course in a core approach to analytics:
statistical / machine learning or visual analytics. Examples:
- Data Mining (STAT/IST)
- Machine Learning (CSE)
- Visual Analytics: Leveraging Geosocial Data (GEOG)
Social Data Analytics approved electives, collectively meeting minimum cross-disciplinary distribution requirements in social science, computational science, informational science, statistical science, visual analytics and ethics and scientific responsibility; examples:
- Vision-Based Tracking (CSE)
- Computational Regularity on Interdisciplinary, Large Data Sets (CSE)
- Pattern Recognition (CSE)
- Information Retrieval and Organization (IST)
- Web Analytics (IST)
- Spatial Analysis (GEOG)
- Most graduate courses in Statistics
- Political Event Data and Forecasting (PLSC)
- Social Network Analysis (SOC)
- Causal Inference (PLSC)
- Democratic Representation: Big Data Approaches (PLSC)
- Multilevel Modeling (SOC)
- Spatial Demography (SOC)
- Intensive Longitudinal Data (HDFS)
- Privacy in Statistical Databases (STAT/CSE)
- Data Privacy, Learning, and Games (CSE)
- Big Social Data and the Law (PLSC/CLJ)
- The Information Environment (IST)
BDSS-IGERT students must be admitted to a participating Penn State PhD program:
Statistics, Computer Science & Engineering, Information Sciences & Technology, Geography, a participating social science department in the College of Liberal Arts (Political Science, Sociology, Anthropology, Economics, Communication Arts & Sciences) or the College of Health & Human Development (Human Development & Family Studies, Health Policy & Administration). Students in the dual-title degree in Demography, regardless of home department, are also eligible. BDSS-IGERT is, for most departments, a program taken up in the second and third year of the PhD program. (For programs that admit directly to a Masters, they might take up IGERT in years one and two of the PhD; there may be other exceptions.)
In additional to curriculum requirements, BDSS-IGERT students are engaged in a wide variety of noncurricular training opportunities, including workshops, conferences, and multiple short-term and long-term research challenges and research rotations. One of these, a summer externship in private industry, government, non-profit groups/labs or in academic research settings, is required for both summers of the traineeship. Examples can be seen here.
Social Data Analytics at Penn State University
BDSS-IGERT is designed to help establish a set of new dual-title Ph.D. programs, and associated minors, in Social Data Analytics (SoDA). Once established, IGERT and other students in participating departments will be able to complete the SoDA degree in addition to the their home discipline Ph.D., through coordinated coursework, exam, and dissertation mechanisms.
This degree program is not yet available.
Please contact firstname.lastname@example.org to receive further information about this program as it becomes available.