Amendment 1 to the DARPA-EA-25-02-05 solicitation, titled "Methodological Advancements for Generalizable Insights into Complex Systems" (MAGICS), serves the purpose of updating the document by incorporating citations into the areas of interest section. The changes made are marked in yellow for easy identification. Aside from these revisions, no other alterations have been made to the original solicitation. This amendment highlights DARPA's commitment to refining and enhancing the quality of research and methodologies in complex systems, ensuring that the document remains relevant and well-supported by current literature.

Amendment 2 to DARPA-EA-25-02-05 titled "Methodological Advancements for Generalizable Insights into Complex Systems" serves to update the previously issued request for proposals (RFP). The primary change is the correction of the closing date for submissions. All amendments are indicated by yellow highlighting, indicating that no other alterations have been made to the original document. This amendment underscores the importance of accurate timelines for proposals to ensure adequate participation from potential respondents in federal and state local project funding initiatives, maximizing the effectiveness of government grants and RFPs.

The DARPA Advanced Research Concepts (ARC) Opportunity titled "Methodological Advancements for Generalizable Insights into Complex Systems" (MAGICS) invites innovative research proposals addressing computational science in dynamic systems with a focus on national security applications. Proposals should explore new methodologies for predicting collective human behavior, overcoming limitations of current statistical methods. Each submission is expected to represent a full-time effort over 12 months, with funding between $100,000 and $300,000. Key areas of interest include data inference boundaries, alignment validation, model adaptability, and psychosocial domain limitations. Proposals must outline a systematic approach to defining the limits of inference and evaluate their predictive validity against ground truth data. Submissions will be evaluated on a rolling basis until June 30, 2025, with an emphasis on novel methodologies that significantly enhance existing modeling approaches. Selected proposals will lead to Research Other Transactions (OT) agreements, promoting rigorous methods to improve understanding of social systems and human behavior.

The DARPA Advanced Research Concepts (ARC) Opportunity titled "Methodological Advancements for Generalizable Insights into Complex Systems" (MAGICS) invites researchers to propose innovative approaches addressing limitations in modeling human behavior within complex systems. The initiative addresses challenges in data inference, model validation, adaptation, integration of psychological theories, and understanding complex phenomena. Proposals should formulate new methodologies that enhance predictive accuracy and effectiveness in analyzing dynamic social systems. Each submission must clearly define a targeted problem, benchmark against existing methods, and outline a validation plan against ground truth data. The project supports efforts aiming for novel frameworks while avoiding constrained or oversimplified scenarios. The budget ranges from $100,000 to $300,000 over a period of up to 12 months, and submissions are accepted until July 10, 2025. Ultimately, DARPA aims to foster groundbreaking research contributing to national security applications by improving our capabilities to anticipate and model human behavior in response to evolving conditions.

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.