Important Updates

NSF Engineering Research Initiation (ERI) announced

NSF's Directorate for Engineering recently released a solicitation titled Engineering Research Initiation (ERI) (NSF 21-574) for new academic researchers in non-R1 institutions. This opportunity aims to broaden the base of engineering researchers who have not yet received support from Federal Agencies. The ERI award, including indirect costs, must not exceed $200,000 for a duration of 24 months. Submission deadline will be June 18, 2021.
More information can be found here.

DOE Announces $29M for Ultramodern Data Analysis Tools

The U.S. Department of Energy (DOE) today announced $29 million to develop new tools to analyze massive amounts of scientific information, including artificial intelligence, machine learning, and advanced algorithms. All have the potential to reveal critical new insights—and even new discoveries—in research that can help tackle clean energy, climate, and national security challenges for the American people.

DOE Announces $54M for Microelectronics Research to Power Next-Generation Technologies

The U.S. Department of Energy (DOE) today announced up to $54 million in new funding for the agency’s National Laboratories to advance basic research in microelectronics. Microelectronics are a fundamental building block of modern devices such as laptops, smartphones, and home appliances, and hold the potential to power innovative solutions to challenges like the climate crisis and national security.

NSF: New Research.gov Resources

Effective March 22, the National Science Foundation (NSF) added new Training Resources:

DoE Announces $34.5M for Data Science and Computation Tools to Advance Climate Solutions

The U.S. Department of Energy (DOE) today announced up to $34.5 million to harness cutting-edge research tools for new scientific discoveries, including clean energy and climate solutions. Two new funding opportunities will support researchers using data science and computation-based methods—including artificial intelligence and machine learning—to tackle basic science challenges, advance clean energy technologies, improve energy efficiency, and predict extreme weather and climate patterns.