Services

Acropolis Analytics Research Institute offers computation- and modeling-based support that connects population-scale data, facility-level surveys, and applied research questions to real-world decisions in science, policy, and practices.

Population & Survey Data Integration

Build a clean, defensible data backbone before you start modeling. We specialize in harmonizing public-health datasets into common geographies and definitions, often as part of the broader PAEON framework.

  • Linking BRFSS, YRBSS, Census/ACS, Vital Statistics, and Surveillance Datasets
  • County- and Sub-State-Level Denominators and Small-Area Estimates
  • Documentation of variable definitions, recodes, and analytic assumptions
  • Data structures designed for recurring updates, not one-time reports

Modeling, Risk Surfaces & Scenario Work

Turn integrated data into risk maps and projections that answer policy-relevant questions while respecting uncertainty and bias.

  • Survey-Weighted Regression, Risk Scores, and Multilevel Models
  • County-Level Burden and Risk Surfaces for Chronic and Infectious Diseases, Screening, and Access
  • Trend and Cluster Analysis across Counties, Regions, and States
  • Scenario Modeling to support planning, program design, and grant applications

Facility & Program-Level Analytics

Help facilities and programs collect the right data, interpret it clearly, and use it to advocate for resources and redesign care.

  • Design and analysis of surveys such as ADRD Caregiver Burden instruments
  • Recurring Dashboards and reports for clinics, facilities, and programs
  • Linking facility-level experience to county-level burden and vulnerability
  • Technical support on data collection, storage, and analytic workflows

Reporting, Visualization & Grant Support

Convert complex methods into materials that leaders, partners, and reviewers can understand at a glance.

  • Publication-ready Figures, Maps, and Tables for reports and manuscripts
  • Summary Briefs and slide decks tailored to leadership and community audiences
  • Methods and analytic sections for Grant Proposals and Progress Reports
  • Reproducible Codebooks and Technical Appendices aligned with your data-use agreements

Engagement Model

Most collaborations begin with a short scoping conversation to clarify:

  • The primary decision, policy, or grant question you are trying to answer
  • Which datasets are available and what constraints apply to their use
  • Desired timelines, deliverables, and how code and outputs will be shared or maintained

From there, engagements may range from a one-time analytic consult to a recurring, multi-year modeling partnership. To start that process, please submit a brief inquiry describing your data environment and goals.