About the FDL Affiliate Lab Program
Updated on November 22, 2022
The Spatial Data Lab (SDL) is a joint project by the Cneter for Geographic Analysis at Harvard University, Geo-Computation Center for Social Sciences at Wuhan University, Future Data Lab and China Data Institute, co-sponsored by the NSF IUCRC Spatiotemporal Innovation Center. The SDL is designed to provide a new generation of data services with cutting-edge methodology and technology, which will build a comprehensive research supporting platform with data, tools, methodology, workflows, cast studies and training programs for reproducible, replicable and expandable research in spatial data science. The SDL is facilitating the Future Data Lab (FDL) Affiliated Lab program to promote collaborative research using SDL products.
An affiliate lab should consist at least three core members, including the lead of the lab. The tasks of the affiliate lab may include:
• Collect and share the research data
• Participate in the development and test of Geospatial Analytics (Knime nodes) and case studies
• Participate in the development of new case studies (5-10 each year)
• Organize or participate in public webinars or training workshops (3-5 each year)
• Apply SDL technology and case studies to research and teaching
The FDL/SDL will offer the follow support for the affiliate labs, including:
• Leadership and technical training
• Shared case study database
• Research data support
• Technical support
• Promotion of the achievements by the affiliate labs
• Reorganization of the achievements by the affiliate labs on the SDL website
The leading applicant should have a Ph.D. degree or are currently enrolled in a Ph.D. program. All applications need to be reviewed and approval. Interested applicants may fill out the online application form. Please contact spatialdatalab@lists.fas.harvard.edu if there is any question.