The submission of a proposal for the SDL intern project The Spatial Data Lab (SDL) offers a variety of hands-on, impactful projects for interns, designed to deepen their knowledge and practical experience in geospatial analysis, data science, and related fields. Our intern projects are mentored by the Spatial Data Lab fellows, which provide opportunities to apply cutting-edge technologies and open-source tools in real-world scenarios, across domains such as public health, urban planning, environmental monitoring, and remote sensing.
Interns work closely with experienced researchers and industry experts, contributing to ongoing research while developing skills in workflow automation, geospatial modeling, and data visualization. Many intern projects result in tangible outputs such as case studies, peer-reviewed publications, or contributions to open-source tools. Below are examples of the types of projects interns engage with:Example Intern Projects:
- Geospatial Data Analysis for Public Health
Interns work with spatial datasets related to public health, such as disease incidence and access to healthcare facilities, to identify patterns and provide insights for health policy and planning. Projects involve the use of GIS and spatial/GeoAI models to analyze accessibility and health outcomes. - Urban Development and Sustainability
Interns apply geospatial analysis to study urban growth, land use changes, and their impact on the environment. Using remote sensing data and spatial modeling, interns investigate urbanization trends and provide recommendations for sustainable urban planning. - Remote Sensing for Environmental Monitoring
Interns use satellite imagery and remote sensing tools to monitor environmental changes, such as deforestation, water quality, and climate impacts. They develop methods for automating data processing and extracting meaningful insights to support conservation and sustainability efforts. - Social Media and Business Analytics
Interns explore the intersection of spatial data and social media, analyzing location-based social media trends or business data to understand consumer behavior, mobility patterns, and market potential. This may involve spatial sentiment analysis or mapping business activity across regions. - GeoAI Workflow Development
Interns contribute to the development and testing of geospatial artificial intelligence (GeoAI) workflows, helping to build automated systems for spatial analysis. They learn to integrate AI models with GIS tools and create replicable workflows for use in research and industry applications. - Spatial Data Visualization and Storytelling
Interns focus on creating compelling visualizations and interactive maps to communicate research findings. They design user-friendly dashboards and web-based visualizations that make complex geospatial data accessible to a wider audience, including policymakers and the public.
Project Benefits:
- Gain hands-on experience with cutting-edge geospatial technologies.
- Work on real-world challenges with the potential to impact policy, business, or environmental sustainability.
- Build a portfolio of projects that demonstrate technical and analytical skills in spatial data science.
- Collaborate with a diverse team of researchers, professionals, and students from around the globe.
- Opportunities for co-authorship in academic papers or presentations at international conferences.
Each intern project is tailored to align with the intern’s academic or professional interests, ensuring a personalized and enriching experience. At the conclusion of the internship, interns present their project outcomes at the annual SDL symposium, receiving feedback and recognition from experts in the field.
Proposal Submission:
For those SDL mentors, please submit your proposals for intern projects here.
Please contact us at spatialdatalab@lists.fas.harvard.edu if there is any questions.