Social Science Research Institute at Duke University
Educational Research Institute
Why pick this one
Duke Social Science Research Institute supports social science projects through data infrastructure, methods assistance, and two Durham locations.
Best for
- Duke researchers needing social science data access or management support
- Interdisciplinary research projects addressing significant social problems
- Researchers seeking survey methodology or network analysis resources
- Duke faculty applying for social science research grants
- Students and researchers seeking workshops in research design, data collection, evaluation, or analysis
Look elsewhere if
- Businesses seeking a conventional commercial research agency rather than a Duke-affiliated research institute
- People seeking services unrelated to social science research, data, evaluation, or interdisciplinary collaboration
Specialties
- social science research methods
- survey methodology
- social science data access and management
- population research
- network analysis
Certifications
- Duke University
- U.S. Census Bureau Center for Economic Studies partnership
What makes them different
- Two Durham locations: Gross Hall and Erwin Mill
- Social science data infrastructure with assistance for data access, data management, and research methods
- Affiliates include the Duke Initiative on Survey Methodology, Duke Network Analysis Center, and Duke University Population Research Institute
- Grant awards for Duke faculty social science research range from $5,000 to $25,000
- Workshops are open to Duke faculty, students, staff, and others interested in social science research
Distilled from this business's own website.
Contact & Location
- Address
- Gross Hall, 140 Science Dr 2nd Floor, Durham, NC 27708
- Phone
- +19196816019
- Website
- http://ssri.duke.edu/
- SSRI@Duke.edu
Services
- applied research
- program evaluation
- community engagement
- research training and workshops
- project collaboration and proposal development
- research funding support
- data infrastructure and methods assistance
- interdisciplinary data science education