Methodological Advancements For Generalizable Insights Into Complex Systems (Magics)

  Address - United States

  Contact details - 565656565

  Tender notice no. - 76454545

  GT Ref Id - 111318695

  Document Type - Tender Notices

Description - Description: For the past decade or more, there has been an assumption and hope that the explosion of digital data streams (e.g., social media, purchase patterns, traffic dynamics, etc.) combined with powerful machine learning tools would usher in a new era of research in complex, dynamic, evolving systems. It was widely thought that this powerful combination would enable better understanding of how large-scale systems respond to changes - such as how regional economies adapt to new conditions, or how population-level dynamics shift in response to demographic changes. Despite many attempts, results have failed to meet expectations. Progress has stalled because current statistical methods can

Gt Ref Id - 111318695

Deadline - Jul 10, 2025