Research
- Danielle Szafir's research focuses on visualization, computer science, HCI, perceptual psychology, and color science. Her project is titled “Developing Perceptually-Driven Tools for Estimating Visualization Effectiveness
.” - Shu-Wei Huang's research focuses on ultrafast optics, nonlinear optics, nanophotonics, and microscopy. His project is titled “Dual-comb Photoacoustic Microscopy with Super-resolution Wavefront Shaping.”
- The Research & Innovation Office invites DoD-funded basic researchers to a virtual information session on the Department of Defense’s Multidisciplinary University Research Initiative (MURI) program on April 14.
- The Colorado Shared Instrumentation in Nanofabrication and Characterization (COSINC) research facility is calling for new proposals that would be enabled by their equipment and staff now through April 30.
- Researchers at CU Boulder are leading a new $15 million, multi-partner institute with NASA over the next five years to improve entry, descent and landing technologies for exploring other planets.
- Honeybees play a scent-driven game of telephone to guide members of a colony back to their queen, according to a new study led by University of Colorado Boulder.
- Electrifying the transportation sector is key to addressing air quality and climate challenges globally. However, building the infrastructure needed to make that shift will be a complicated process and one that is essential to get right the first time.
- New research from the Sprenger and Whitehead groups aims to identify and map common mutations in “Spike” proteins—the proteins that allow the virus to enter and infect cells. This would provide researchers with a roadmap to anticipate and counteract the development of future SARS-CoV-2 strains with effective vaccines and vaccine boosters.
- Researchers at the University of Colorado Boulder have won a $1.2 million award to establish a Center for Light Sheet Microscopy and Data Science, the Arnold and Mabel Beckman Foundation has announced.
- CU Boulder researchers gave computer models of land surface different amounts of information on soil moisture and then evaluated how well irrigation can be predicted from them. Being able to do this on a large scale would be a useful step toward understanding how sensitive irrigation and evapotranspiration are to climate change.