HHS · no agency ID · record R0739

Center for Forecast and Analytics (CFA) Model Studio

Department of Health and Human Services · HHS/CDC

Overview

Development stage: PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: 2025-01 (month precision)Source: Jan-25
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Health and Medical
Operational functions: Forecasting and prediction Derived by keyword rules; see methodology

Problem the AI is intended to solve

This tool is intended to provide streamlined infrastructure around allowing users to bring their own models or discover existing ones and evaluate them in a streamlined way. For example, users can develop their models in their local machine, containerize them and deploy them using CFA Model Studio in the platform for further experimentation, parameter exploration and registry.

Expected benefits

This tool is intended to extend the Natice Modeling Objectives capabilities on platform to reduce the effort and burden around bringing models on platform and especially allow for R based models for fine evaluation. Additionally, adds flexibility for users to utilize their preferred modelling language and tools

System outputs

Model Library is a tool where users can go to discover, upload, and test their various models. The outputs are typically test runs, and the ability to evaluate model performance

Technology

AI classification: Other
System name(s): 1 CDC Data Platform (1CDP)
Custom-developed code: Yes
Public source code: Not reported

Sourcing

How it was built: Contract and in-houseSource: c) Developed with both contracting and in-house resources
Vendor (as reported): Palantir Technologies
Vendors (standardized): Palantir

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: No
Privacy Impact Assessment: Not reported
Authorization to Operate: Yes
Demographic features: k) None of the above
Training and evaluation data: Not reported
Federal Data Catalog: Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported