Software and Datasets
STDN Agentic Framework
| Type: | Software |
| Date: | 2026-04-29 |
| Summary: | Multi-agent AI system for generating Shallow Technology Dependency Networks (STDNs) |
| Link: | https://github.com/dads2busy/dpi_stdn_agentic |
| Abstract: | Multi-agent AI framework that automates the analysis of global technology supply chains by orchestrating LLM-powered agents that propose, critique, and refine technology dependency networks (Technologies → Components → Materials → Producing Countries). Four-stage pipeline with optional multi-agent debate; each link includes confidence scores and reasoning for auditable, interpretable analysis. |
Intelligence Budget Estimation System
| Type: | Software |
| Date: | 2026-04-29 |
| Summary: | Multi-agent LangGraph workflow for estimating the classified portion of U.S. intelligence spending |
| Link: | https://github.com/dads2busy/dpi_budget_estimation_agentic |
| Abstract: | Multi-agent, LangGraph-based workflow that estimates the classified ('black budget') portion of U.S. intelligence spending by reconciling public budget documents (DoD R-1 exhibits) against disclosed national and military intelligence program totals. Each stage is a Pydantic AI agent with typed state and explicit quality gates; the methodology operationalizes top-down reconciliation as a repeatable, auditable pipeline. |
STDN Explorer
| Type: | Software |
| Date: | 2026-03-10 |
| Summary: | Interactive dashboard for Shallow Technology Dependency Networks — supply chain risk analysis |
| Link: | https://github.com/dads2busy/stdn-explorer |
| Abstract: | Interactive web dashboard for exploring Shallow Technology Dependency Networks (STDNs) and conducting supply chain risk analysis. Built with TypeScript and Python. |
Social Data Commons (SDC)
| Type: | Software |
| Date: | 2026-02-25 |
| Summary: | Unified monorepo for Social Data Commons data pipelines |
| Link: | https://github.com/dads2busy/Social-Data-Commons |
| Abstract: | Domain-specific data pipelines plus a shared Python core (sdc-core) for ingesting, standardizing, and distributing datasets across multiple social impact domains (demographics, health, housing, etc.). Each pipeline emits standardized long-form CSVs to a common distribution layer. |
Virginia Public Health Data Commons
| Type: | Software |
| Date: | 2026-02-24 |
| Summary: | Interactive data commons web platform for Virginia public health indicators |
| Link: | https://github.com/dads2busy/virginia_public_health_data |
| Abstract: | Interactive web dashboard for exploring Virginia public health indicators. Successor to the original VDH Rural Health Data Commons. Live site: https://dads2busy.github.io/virginia_public_health_data/ |
National Capital Region Data Commons
| Type: | Software |
| Date: | 2026-02-24 |
| Summary: | Interactive Next.js dashboard for demographic, economic, health, housing, and infrastructure indicators across the National Capital Region |
| Link: | https://github.com/dads2busy/national_capital_region_data |
| Abstract: | Interactive dashboard for exploring demographic, economic, health, housing, and infrastructure indicators across the National Capital Region (Washington, DC and surrounding counties in Virginia and Maryland). Renders choropleth maps, time-series plots, and ranked tables across multiple geographic levels (county, tract, block group, civic association, zip code, planning district, supervisor district, human services region) with shareable URL state and an integrated AI assistant. Built with Next.js 15, React 19, Leaflet, Plotly, and TanStack Table; consumes standardized CSVs produced by the Social Data Commons pipelines. Live site: https://dads2busy.github.io/national_capital_region_data/ |
Social Data Commons: Segregation Index (HOI) (v1.0.1)
| Type: | Dataset |
| Date: | 2026 |
| Summary: | Residential segregation indicator (Theil's Entropy Index, H) from ACS race/ethnicity data |
| Link: | https://doi.org/10.5281/zenodo.19025089 |
| DOI: | 10.5281/zenodo.19025089 |
| Abstract: | Residential segregation indicator computed as the Entropy Index (Theil's H) from ACS table B03002 (Hispanic or Latino Origin by Race) data, measuring how sub-area racial/ethnic composition differs from the overall state composition. Uses eight race/ethnicity categories. Builds on methodology used in the Virginia Department of Health's Health Opportunity Index (HOI). Produced by the Social Data Commons at the University of Virginia. |
Social Data Commons: Ookla Speed (v2.0.0)
| Type: | Dataset |
| Date: | 2026 |
| Summary: | Fixed and mobile broadband speed measures from Ookla Speedtest Open Data, joined to Census 2020 block groups |
| Link: | https://doi.org/10.5281/zenodo.19192908 |
| DOI: | 10.5281/zenodo.19192908 |
| Abstract: | Fixed and mobile broadband speed measures derived from quarterly Ookla Speedtest Open Data tiles spatially joined to Census 2020 block groups. Includes device-weighted average download/upload speeds (Mb/s) and percent of devices exceeding 25/3 and 100/20 Mb/s broadband thresholds. Block group values are aggregated to tracts and counties. Produced by the Social Data Commons at the University of Virginia. |
Social Data Commons: Daycare Accessibility (v1.2.0)
| Type: | Dataset |
| Date: | 2026 |
| Summary: | Daycare accessibility for Virginia: drive time to nearest provider, total capacity, and FCA seats per 1,000 children |
| Link: | https://doi.org/10.5281/zenodo.19139080 |
| DOI: | 10.5281/zenodo.19139080 |
| Abstract: | Daycare accessibility measures for Virginia, including minimum drive time to the nearest provider, total licensed capacity, and floating catchment area ratios (seats per 1,000 children) for three age groups. Combines VDSS facility data, ACS child population estimates, and OSRM-based travel times. Produced by the Social Data Commons at the University of Virginia. |
Social Data Commons: Primary Care Service Accessibility (FCA) (v4.0.1)
| Type: | Dataset |
| Date: | 2026 |
| Summary: | Floating catchment area (2SFCA, E2SFCA, 3SFCA) measures of primary care physician accessibility at block group level |
| Link: | https://doi.org/10.5281/zenodo.19152538 |
| DOI: | 10.5281/zenodo.19152538 |
| Abstract: | Floating catchment area analysis measuring primary care physician accessibility at block group level. Computes 2SFCA, E2SFCA, and 3SFCA variants with physician counts from CMS Doctors and Clinicians data filtered to Family Practice, Family Medicine, and General Practice in VA, DC, and MD. Travel times from OSRM block-group-to-block-group matrices; catchment threshold 30 minutes. Coverage 2018–2025. Produced by the Social Data Commons at the University of Virginia. |
Social Data Commons: Employment Access Index (v2.0.0)
| Type: | Dataset |
| Date: | 2026 |
| Summary: | Employment Intensity (gravity model) from LEHD-LODES job counts and TIGER/Line block centroids |
| Link: | https://doi.org/10.5281/zenodo.19025096 |
| DOI: | 10.5281/zenodo.19025096 |
| Abstract: | Employment Intensity computed via a gravity model from LEHD-LODES Workplace Area Characteristics job counts and TIGER/Line Census block centroids. Uses a hierarchical distance approximation (block <34 mi, tract 34–165 mi, county 165–200 mi) with 1/d^2 weighting. Inspired by the CNT H+T Affordability Index methodology. Produced by the Social Data Commons at the University of Virginia. |
Social Data Commons: Walkability (v5.0.0)
| Type: | Dataset |
| Date: | 2026 |
| Summary: | Multi-year Walkability Index from LEHD-LODES employment entropy, GTFS transit proximity, and EPA SLD street connectivity |
| Link: | https://doi.org/10.5281/zenodo.19025432 |
| DOI: | 10.5281/zenodo.19025432 |
| Abstract: | Multi-year Walkability Index computed per the EPA National Walkability Index methodology. Each block group is scored using NatWalkInd = D2A_Ranked/6 + D2B_Ranked/6 + D3B_Ranked/3 + D4C_Ranked/3, combining LODES/ACS employment-and-household land-use entropy, EPA SLD street connectivity, and GTFS transit proximity. Components are quantile-ranked into 20 bins before combining; block group scores are aggregated to tracts and counties via population-weighted means. Produced by the Social Data Commons at the University of Virginia. |
Social Data Commons: OB-GYN Service Accessibility (FCA) (v2.0.0)
| Type: | Dataset |
| Date: | 2026 |
| Summary: | Floating catchment area measures of OB-GYN service accessibility (female pop 15+ as demand) |
| Link: | https://doi.org/10.5281/zenodo.19152569 |
| DOI: | 10.5281/zenodo.19152569 |
| Abstract: | Floating catchment area analysis measuring OB-GYN service accessibility at block group level using female population ages 15+ as consumer demand. Computes 2SFCA, E2SFCA, and 3SFCA variants from CMS Doctors and Clinicians data (2017–2025) filtered to Obstetrics/Gynecology with MD/DO credentials in VA, DC, and MD. Travel times from a pre-computed OSRM block-group-to-block-group matrix. Produced by the Social Data Commons at the University of Virginia. |
Social Data Commons: Access to Care Index (HOI) (v3.0.0)
| Type: | Dataset |
| Date: | 2026 |
| Summary: | Composite z-score of physician availability (CMS PUF + OSRM) and insurance coverage (ACS uninsured rate) |
| Link: | https://doi.org/10.5281/zenodo.19025101 |
| DOI: | 10.5281/zenodo.19025101 |
| Abstract: | Access to care composite for Virginia tracts, counties, and health districts. Combines primary care physician availability (CMS Medicare Physician PUF, OSRM-based travel within 30 driving miles) with insurance coverage (ACS 5-year uninsured rate ages 19–64) into a z-score composite where higher values indicate better access. Reproduces and extends the VDH-OMHHE Health Opportunity Index Access-to-Care indicator using open data. Produced by the Social Data Commons at the University of Virginia. |
Social Data Commons: Prenatal Care Adequacy (Kotelchuck Index) (v4.0.3)
| Type: | Dataset |
| Date: | 2026 |
| Summary: | Adequacy of Prenatal Care Utilization (Kotelchuck Index) classifying births by trimester of entry and visit ratio |
| Link: | https://doi.org/10.5281/zenodo.19039389 |
| DOI: | 10.5281/zenodo.19039389 |
| Abstract: | Adequacy of prenatal care utilization measured via the Kotelchuck Index (APNCU), classifying births into inadequate / intermediate / adequate / adequate-plus categories from when prenatal care began and the ratio of actual to expected visits. 2014–2020 from NCHS Natality microdata; 2021–2024 projected from the 2020 baseline using year-over-year changes from CDC WONDER Natality Expanded (D149). Produced by the Social Data Commons at the University of Virginia. |
Social Data Commons: Housing + Transportation Affordability (v3.1.2)
| Type: | Dataset |
| Date: | 2026 |
| Summary: | H+T Affordability Index reproduced via CNT methodology (housing + modeled transportation costs as % income) |
| Link: | https://doi.org/10.5281/zenodo.19025106 |
| DOI: | 10.5281/zenodo.19025106 |
| Abstract: | Housing and transportation affordability index independently reproduced using the Center for Neighborhood Technology (CNT) H+T Index methodology. Combines housing costs with modeled transportation costs (auto ownership, VMT, transit use) as a percentage of income for a Regional Typical Household. Three regression models drive transportation costs from 17 independent variables computed from ACS, LEHD, TIGER, and GTFS at block-group resolution. Produced by the Social Data Commons at the University of Virginia. |
Social Data Commons: Social Vulnerability Index (v3.0.0)
| Type: | Dataset |
| Date: | 2026 |
| Summary: | CDC/ATSDR SVI 2022 methodology computed from ACS 5-year estimates |
| Link: | https://doi.org/10.5281/zenodo.19025102 |
| DOI: | 10.5281/zenodo.19025102 |
| Abstract: | CDC/ATSDR Social Vulnerability Index computed from ACS 5-year estimates following the 2022 SVI methodology. Sixteen social factors across four themes are converted to percentages, percentile-ranked within region (VA or NCR), summed by theme, and re-ranked. Uses B-table variables for cross-year stability instead of DP05/DP02 which renumber across ACS vintages. Validated against CDC SVI 2020 at r > 0.998 for all themes. Produced by the Social Data Commons at the University of Virginia. |
Social Data Commons: Pediatric Service Accessibility (FCA) (v2.0.0)
| Type: | Dataset |
| Date: | 2026 |
| Summary: | Floating catchment area measures of pediatric service accessibility (population ages 0–17 as demand) |
| Link: | https://doi.org/10.5281/zenodo.19152601 |
| DOI: | 10.5281/zenodo.19152601 |
| Abstract: | Floating catchment area analysis measuring pediatric service accessibility at block group level using population ages 0–17 as consumer demand. Computes 2SFCA, E2SFCA, and 3SFCA variants from CMS Doctors and Clinicians data (2018–2025), filtered to PEDIATRIC MEDICINE specialty with MD/DO credentials in VA, DC, and MD. Travel times from a pre-computed OSRM block-group-to-block-group driving matrix. Produced by the Social Data Commons at the University of Virginia. |
Social Data Commons: Material Deprivation (v2.0.0)
| Type: | Dataset |
| Date: | 2026 |
| Summary: | Townsend Material Deprivation Index from four ACS-derived indicators (unemployment, overcrowding, no car, no home) |
| Link: | https://doi.org/10.5281/zenodo.19025098 |
| DOI: | 10.5281/zenodo.19025098 |
| Abstract: | Townsend Material Deprivation Index for Virginia tracts, counties, and health districts. Combines four ACS-derived indicators — unemployment rate, overcrowding, non-car ownership, non-home ownership — into a z-score composite, rescaled to 0–1, with higher values indicating greater material deprivation. The VDH Health Opportunity Index includes a similar adaptation as one of its 13 indicators. Produced by the Social Data Commons at the University of Virginia. |
Social Data Commons: Master Metadata
| Type: | Dataset |
| Date: | 2022 |
| Abstract: | Master metadata catalog for the Social Data Commons, deposited in the UVA Dataverse, University of Virginia. |
Travel Information Data Clearinghouse and Management System
| Type: | Software |
| Date: | 1999-01-01 |
| Summary: | Copyright held by Virginia Polytechnic Institute and State University |
| Abstract: | **Schroeder, A.D.** Travel Information Data Clearinghouse and Management System. Copyright: Virginia Polytechnic Institute and State University, 1999. |
Web-Based Dynamic Ride Request, Assignment, and Tracking System
| Type: | Software |
| Date: | 1999-01-01 |
| Summary: | Copyright held by Virginia Polytechnic Institute and State University |
| Abstract: | **Schroeder, A.D.** and Daily, B. Web-Based Dynamic Ride Request, Assignment, and Tracking System. Copyright: Virginia Polytechnic Institute and State University, 1999. |