Applied Analytics & Modeling

Carrying Evidence from Data into Decisions.

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 Practice.

Current work focuses on chronic disease burden, screening and access, caregiver experience, and structured data backbones that can be reused for future analyses.

Core Capabilities

Acropolis Analytics Research Institute focuses on a few things done carefully and transparently:

  • Population & Survey Data Integration (BRFSS, YRBSS, Census/ACS, Vital Statistics)
  • Modeling, Risk Surfaces & Scenario Work for planning and Policy Questions
  • Caregiver and Facility-Level Analytics for ADRD and related domains
  • Reporting, Visualization & Grant Support for Agencies and Research Teams

For more detail, see the Services and Projects pages.

What We Do

Acropolis Analytics Research Institute is built around a simple idea: large, messy data only becomes useful when it is structured, documented, and tied to specific decisions.

The Institute develops Computation- and Modeling-Based Projects that sit at the intersection of Data, Methods, and Practice rather than treating analysis as a one-off task.

In practical terms, that means work that:

  • Harmonizes Population Data, Surveys, and Surveillance into stable Analytic Backbones across years and jurisdictions.
  • Builds Models and Risk Summaries that respect Survey Design, Bias, and Uncertainty instead of hiding them.
  • Translates results into Reports, Maps, and Briefs that non-technical audiences can use in day-to-day work.

Work can range from one-time Analytic Consults to multi-year Modeling Partnerships, depending on the needs of the Agency or Research Team.

Current Focus Areas

PAEON — Population-Adjusted Epidemiology Outcomes Network

PAEON is a growing Modeling Backbone that harmonizes Denominators and Outcomes across major U.S. datasets to support County-Level and Border-Region Surveillance. It is designed so that once a core structure is built, multiple disease areas and questions can be layered on top.

Early Labors within PAEON include:

  • PAEON I — PAX: Mapping Demographics, Chronic Disease, Infectious Disease, and Crime across the La Paz Border Corridor.
  • PAEON II — AORTA: National Cardiovascular Disease Risk & Burden Surveillance, integrating Behavioral, Metabolic, and Structural Covariates.
  • PAEON III — PANCREA: National Diabetes Burden & Metabolic Risk Surveillance, tracking clusters of Metabolic Risk Factors and Outcomes.
  • PAEON IV — PNEUMA: National Chronic Respiratory Disease Burden & Risk Surveillance, with attention to COPD and Asthma.
  • PAEON V — MNEME: National Cognitive Decline & Caregiver Burden Surveillance, describing patterns of Dementia-like burden and Caregiver Strain.
  • PAEON VI — ONKOS: National Cancer Screening & Oncologic Risk Surveillance, focusing on Screening Uptake, Access Inequality, and Risk Strata.

As PAEON matures, selected County-Level Summaries, Border Extracts, and Risk Surfaces will be posted in the Data section, with Methods Notes and Crosswalks to support reuse by partners.

A more detailed description of each Labor is available on the Projects page.

Caregiver & Facility-Level Work

Acropolis Analytics Research Institute also supports projects that focus on Caregivers and Facilities, including Alzheimer’s Disease and Related Dementias (ADRD) Caregiver Surveys and similar Instruments.

  • Design, refinement, and analysis of Caregiver and Facility Surveys
  • Aggregated Results to support Program Design and Resource Advocacy
  • Planned Public Summaries in both the Data and Reports sections as releases become available

Working With Acropolis Analytics Research Institute

Most collaborations begin with a short Scoping Conversation to clarify:

  • The Decision, Policy, or Grant Question you are trying to answer
  • Which Datasets are available and what constraints apply to their use
  • Timelines, Deliverables, and how Code and Outputs will be shared or maintained

From there, the Institute can help identify whether you need a one-time Analysis, a recurring Reporting Structure, or a deeper Modeling Backbone like PAEON.

To start that process, you can:

  • Review the Services offered and see if they match your needs
  • Look at planned outputs in the Data and Reports sections
  • Submit a short Inquiry through the Contact form