Methodological Advancements for Generalizable Insights into Complex Systems (MAGICS)
ID: DARPA-EA-25-02-05Type: Solicitation
Overview

Buyer

DEPT OF DEFENSEDEFENSE ADVANCED RESEARCH PROJECTS AGENCY (DARPA)DEF ADVANCED RESEARCH PROJECTS AGCYARLINGTON, VA, 222032114, USA

NAICS

Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology) (541715)

PSC

NATIONAL DEFENSE R&D SERVICES; DEPARTMENT OF DEFENSE - MILITARY; BASIC RESEARCH (AC11)

Original Source

https://sam.gov/opp/093a0c0386e6416ea3f48a7aea5b0047/view
Timeline
  1. 1
    Posted Apr 8, 2025, 12:00 AM UTC
  2. 2
    Updated Apr 8, 2025, 12:00 AM UTC
  3. 3
    Due Jul 10, 2025, 4:00 PM UTC
Description

The Department of Defense, through the Defense Advanced Research Projects Agency (DARPA), is soliciting innovative research proposals under the Advanced Research Concepts (ARC) Opportunity titled "Methodological Advancements for Generalizable Insights into Complex Systems (MAGICS)." This initiative aims to develop new methodologies for modeling collective human behavior in complex, dynamic systems, addressing the limitations of current statistical approaches that struggle to accurately predict behaviors in evolving, open, time-varying environments. The opportunity is critical for enhancing predictive modeling capabilities relevant to national security and societal dynamics, with selected proposals potentially receiving funding between $100,000 and $300,000 for a performance period of up to 12 months. Interested parties should submit their proposals by July 10, 2025, and can direct inquiries to the BAA Coordinator at MAGICS@darpa.mil.

Point(s) of Contact
BAA Coordinator
MAGICS@darpa.mil
Files
Title
Posted
DARPA-EA-25-02-05.pdf
Apr 8, 2025, 2:05 PM UTC
The DARPA Defense Sciences Office has issued an Advanced Research Concepts (ARC) Opportunity titled MAGICS, inviting innovative research proposals focused on computational science in complex systems. This initiative aims to address shortcomings in existing statistical methods for modeling dynamic human systems, which have been unable to accurately predict behaviors due to challenges such as unstable mappings, insufficient methodologies, and the complexities of psychosocial dynamics. Proposals must present novel approaches that enhance modeling accuracy by overcoming these limitations, with key areas of interest including data inference boundaries, alignment validation, and the integration of psychological theories. Abstracts should detail a clear problem statement, quantitative benchmarks against current solutions, innovation in methodology, and an evaluation plan against ground truth data. Selected proposals may receive funding between $100,000 and $300,000, with a performance period of up to 12 months. Submissions will be evaluated on a rolling basis until the deadline on July 10, 2025. This opportunity represents DARPA's commitment to fostering research that can improve predictive modeling capabilities relevant to national security and societal dynamics.
Lifecycle
Title
Type
Methodological Advancements for Generalizable Insights into Complex Systems (MAGICS)
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