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Incorporating Human Behavior in Epidemiological Models (IHBEM)

Published: 14 April 2025
Categories: NSF Pgm Announcements

RSS feed source: National Science Foundation

U.S. National Science Foundation

Directorate for Mathematical and Physical Sciences
     Division of Mathematical Sciences

Directorate for Social, Behavioral and Economic Sciences
     Division of Behavioral and Cognitive Sciences
     Division of Social and Economic Sciences

Directorate for Biological Sciences
     Division of Environmental Biology

National Institutes of Health

    National Institute on Drug Abuse

Centers for Disease Control and Prevention

    Coronavirus and Other Respiratory Viruses Division

Full Proposal Deadline(s) (due by 5 p.m. submitting organization’s local time):

     July 14, 2025

Important Information And Revision Notes

The only changes are to the due dates and addition of CDC/CORVD as a partner agency. The members of the Working Group have been changed (with different contacts from SBE/BCS and NIH/NIDA, and addition of the POC from CDC). Any proposal submitted in response to this solicitation should be submitted in accordance with the NSF Proposal & Award Policies & Procedures Guide (PAPPG) that is in effect for the relevant due date to which the proposal is

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A vision for the future of automation

Published: 14 April 2025
Categories: MIT Tech Review

RSS feed source: National Science Foundation

The manufacturing industry is at a crossroads: Geopolitical instability is fracturing supply chains from the Suez to Shenzhen, impacting the flow of materials. Businesses are battling rising costs and inflation, coupled with a shrinking labor force, with more than half a million unfilled manufacturing jobs in the U.S. alone. And climate change is further intensifying the pressure, with more frequent extreme weather events and tightening environmental regulations forcing companies to rethink how they operate. New solutions are imperative.

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Meanwhile, advanced automation, powered by the convergence of emerging and established technologies, including industrial AI, digital twins, the internet of things (IoT), and advanced robotics, promises greater resilience, flexibility, sustainability, and efficiency for industry. Individual success stories have demonstrated the transformative power of these technologies, providing examples of AI-driven predictive maintenance reducing downtime by up to 50%. Digital twin

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