News

Bard College’s Hudson Valley Community Air Network (HVCAN) is partnering with Ulster County to install 17 new ground‑level air quality sensors at libraries, town halls, and community centers across the county. The sensors will provide the community with real‑time information about local air pollution and offer free alerts through JustAir, a platform that notifies users when air quality becomes unhealthy and again when conditions improve. The sensors measure fine particulate matter, or tiny particles from sources like soot, smoke, and vehicle exhaust that are small enough to be inhaled and cause serious health impacts. Because the sensors are installed roughly six feet off the ground, they capture the air residents actually breathe, which can differ significantly from rooftop or elevated monitors. “HVCAN demonstrates that science does not belong only in laboratories or universities; it belongs in communities, where people can use knowledge to support healthier futures together,” said Desirée Lyle, program director at Bard’s Center for Environmental Sciences and Humanities. “The data we create encourages curiosity, dialogue, and shared responsibility for environmental health, while offering a model for how science and community engagement can grow together.”

The Center for Environmental Sciences and Humanities puts Bard’s dedication to the environment, science, and social change into practice to support the fair management of our shared natural resources. The center conducts quantitative research in the natural and social sciences, crafts communication, participates in policy making, and bridges academic inquiry with community needs. The data and insights collected through CESH related projects are applied directly back to communities, with the end goal of addressing and solving environmental problems in real time.
 

Valerie Barr, Margaret Hamilton Distinguished Professor of Computer Science at Bard College, was quoted in an Atlantic article about the importance of studying computer science in the age of AI. The article examines how AI may be changing the landscape of coding, but does not negate the need for computer scientists—in fact, the proliferation of AI code may require more professionals who have a deep understanding of computer systems. “I’m back to how I taught in the 1980s, when we didn’t have laptops and there was one computer lab for the whole campus,” said Barr. She told the Atlantic that she now assigns coursework largely on paper in her introductory class, and believes that students who learn coding fundamentals the old fashioned way will come out ahead. “You cannot make effective use of AI tools if you don’t know something about what you’re asking the tools to do.”

The Computer Science Program at Bard focuses on the fundamental ideas of computer science and introduces students to multiple programming languages and paradigms, covering theoretical, applied, and systems-oriented topics. Most courses include hands-on projects so that students can learn by building, and by participating in research projects in laboratories devoted to cognition, computational biology, robotics, and symbolic computation.

Research by Associate Professor of Physics Hal Haggard was featured on Matt O’Dowd’s PBS Space Time, an informational show that introduces viewers to concepts in astrophysics. The episode focused on an idea Haggard helped pioneer about black holes: that instead of becoming singularities at the end of their lifetime, as was previously thought, they may instead lead into cores of energy, also known as “white holes.” Haggard’s research on these structures, also known as Planck stars, and black-to-white hole tunneling was discussed in the context of physicists’ anxieties around black holes and how the perception of them has changed in previous decades. The Planck star’s existence is “one of our final hopes,” O’Dowd says. “Let’s hope they’re real, for physics’ sake.”

Haggard teaches in Bard’s Physics Program, which is dedicated to helping students at all levels gain a better understanding of the universe and how it works.