Research
Research & Publications
Exploring the intersection of data science, spatial analytics, and intelligent infrastructure through rigorous research and practical applications.
Current Research Focus
🏗️ Smart Infrastructure & Energy Systems
Investigating the integration of information technology with energy management systems, passive optical networks, and intelligent building optimization.
🗺️ Spatial Data for Community Development
Analyzing spatial relationships to inform equitable community planning, infrastructure development, and resource allocation strategies.
🎓 Educational Technology Innovation
Developing knowledge graphs and AI-enhanced approaches to personalize learning and improve educational outcomes.
Featured Research
Domain-Specific Performance Analysis
Recent Publication
Domain‑Specific Performance: DuckDB Extensions, DuckLake, and Bayesian Network Inference - A comprehensive technical comparison of modern data analytics technologies and their computational efficiency characteristics.
Abstract: This report provides a technical comparison of four distinct technologies: the DuckDB spatial extension, DuckDB inet extension, DuckLake, and Bayesian network analysis. Each technology is evaluated for performance benefits, use cases, and computational efficiency in targeted analytics workloads.
Research Categories
📊 Data Science & Analytics
Domain-Specific Performance: DuckDB Extensions & Bayesian Networks
Comprehensive evaluation of DuckDB spatial/inet extensions, DuckLake table format, and Bayesian network inference efficiency.
Spatial Analytics with Sedona & Neo4j
Integration patterns for geospatial data processing and graph analytics.
XArray for Multi-dimensional Data Analysis
Advanced techniques for handling multi-dimensional scientific datasets.
🏘️ Digital Equity & Community Development
OSMnx Urban Network Analysis for Digital Equity
Integrating street network topology and urban morphology analysis with broadband infrastructure planning to advance digital equity in rural communities.
Digital Navigation & Maslow's Hierarchy
Examining the intersection of digital accessibility and human needs hierarchy in community development contexts.
Finding the Digital Divide
Spatial analysis approaches to identifying and addressing connectivity gaps in rural communities.
🌾 Technology & Agriculture
Blockchain Applications in Agriculture
Exploring distributed ledger technologies for agricultural supply chain and data management.
📚 Educational Technology
Technology as Amplifier in Education
Analysis of Toyama's framework for understanding technology's role in educational transformation.
Computational Thinking & Learning
Frameworks for integrating computational thinking into educational curricula.
Research Methods & Tools
🔬 Methodological Approaches
- Spatial Analytics: GIS, network analysis, and geospatial data science
- Statistical Modeling: Bayesian inference, machine learning, and predictive analytics
- Systems Analysis: Performance evaluation, comparative studies, and technical benchmarking
- Community-Based Research: Participatory methods and stakeholder engagement
🛠️ Technical Stack
- Data Processing: Python, R, DuckDB, Apache Sedona, Neo4j
- Spatial Analysis: PostGIS, GDAL, GeoPandas, Spatial SQL
- Visualization: Interactive maps, statistical graphics, network diagrams
- Infrastructure: Cloud computing, distributed systems, database optimization
Collaboration & Impact
🤝 Research Partnerships
- EUPConnect Collaborative: Regional broadband and digital equity initiatives
- Michigan Data Hubs: Statewide education data systems and analytics
- Academic Collaborations: University partnerships and research networks
📈 Community Impact
- Policy Analysis: Data-driven recommendations for regional development
- Capacity Building: Training programs for rural technology adoption
- Open Research: Publicly available datasets and reproducible analysis
Recent Presentations & Recognition
- Michigan State University Distinguished Partnership Award (2022) - Community-Engaged Service
- METL Network Alumni - Michigan Educational Technology Leadership
- Microsoft Legislative Summit Speaker (2014) - Selected presenter on educational technology
Get Involved
Research Collaboration
Interested in collaborating on spatial data analysis, smart infrastructure research, or educational technology projects? I’m always open to exploring new partnerships and interdisciplinary research opportunities.
Contact for Research Inquiries
- Email: jason@jasonkronemeyer.com
- LinkedIn: Professional Profile
- GitHub: Research Code & Data
Areas of Interest for Collaboration
- Spatial data applications in community development
- Smart building and energy efficiency research
- Educational technology and knowledge graph applications
- Rural broadband and digital equity analysis
- Open data initiatives and reproducible research
Research is most impactful when it bridges theory and practice, connecting rigorous analysis with real-world applications that benefit communities and advance knowledge.