Research
Research & Publications
Research on how communities and institutions can build trustworthy, connected infrastructure—and use evidence to learn, make decisions, and expand opportunity.
Current Research Focus
Knowledge & Learning Infrastructure
Connecting data infrastructure, the DIKW tradition, the Digital Opportunities Compass, community knowledge, and provenance to explore how institutions can learn from evidence and outcomes.
Converged Buildings & Intelligent Infrastructure
Examining how fiber, networks, fault-managed power, DC systems, controls, and computing can be designed as connected infrastructure in buildings and communities.
Digital Opportunity & Community Learning
Using spatial analysis, community context, and the Digital Opportunities Compass to understand local needs, infrastructure, skills, and outcomes.
Workforce & Trustworthy Technology
Exploring workforce pathways for connected infrastructure and the governance, provenance, and accountability needed as AI-enabled systems operate at machine speed.
Recent Research
From Data Infrastructure to Learning Infrastructure
Connects DIKW, MiGreatDataLake, the Digital Opportunities Compass, Project Compass, and DOIN in a proposed learning loop that links evidence, understanding, action, and outcomes.
The Converged Building
Explores the emerging relationship among fiber, fault-managed power, DC distribution, building systems, workforce, and intelligent infrastructure.
From “Digital Electricity” to Class 4 Fault-Managed Power
Reviews how Class 4 fault-managed power has evolved from a vendor-specific proposition into a broader standards-based infrastructure category.
Stop Training Low-Voltage Installers. Start Training Connected Infrastructure Technicians.
Makes the case for an entry-level workforce pathway spanning connectivity, power, controls, and cybersecurity.
Related Recent Writing
Recent essays extend this work into AI governance and trust:
The Problem Was Never AI. It Was Always Trust at Machine Speed.
Examines how governance, accountability, and human intent must keep pace with increasingly autonomous software.
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.