Scientific Feasibility (SciFy)

Abstract

The Scientific Feasibility (SciFy) program, addressing challenges encountered in the Advanced Tools for Modeling and Simulation program (PE 0601101E, Project CCS-02), will develop computational methods to measure the feasibility of claims to enable accurate assessments of scientific content. Automated scientific content generation, via rapidly improving large pre-trained models, has the potential to disrupt the U.S. technology base in times of crisis and to distort the global race for technological dominance in key areas. Similarly, false capability claims can have significant negative implications for national security and international relations. To address these threats, SciFy will focus on methods for assessing the scientific feasibility of claims using automated reasoning to decompose claims into constituent, verifiable parts. Assessing each component will involve referencing existing technological advancements, foundational scientific principles, data, software, models, simulation results, and industry standards or benchmarks. SciFy will create methods that go beyond automated fact-checking by also addressing complex component interactions and operational constraints, and evaluating logical consistency, system integration, and compatibility considerations. If successful, SciFy will enable the U.S. to reliably determine whether claimed scientific and technological capabilities, even when theoretically possible in parts, are practical and realistic when considered as a whole.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2025
Source ID
8b0e2cf29d3a3e4394777c879e291357

Tags

Readers

  • Artificial Intelligence
  • Software Engineering.
  • Systems Analysis and Design

Related Documents