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Stony Brook Gifted $56M To Boost STEM Diversity

Innovate Long Island

Stony Brook University has received a transformative $56.6 million gift from the Simons Foundation to launch the Stony Brook Simons STEM Scholars Program, aimed at enhancing diversity in STEM fields. This initiative will provide full financial support—including scholarships, housing, stipends, and research opportunities—to 50 underrepresented students annually, beginning in Fall 2023. The program is modeled after the University of Maryland, Baltimore County's Meyerhoff Scholars Program and will offer a collaborative living environment, mentorship, and a Summer Bridge Program to foster academic success and community building .

 

Governor Hochul Announces FY 2023 Budget Investments to Deliver for Long Island Families 

Governor Kathy Hochul

Governor Kathy Hochul's FY 2023 budget includes significant investments for Long Island, totaling $350 million to bolster the regional economy. A notable allocation is $50 million designated for an artificial intelligence partnership between Cold Spring Harbor Laboratory and Stony Brook University. This initiative aims to advance AI research and innovation on Long Island.

 

GAANN Fellowships Help Fund Research in Areas of National Need

SBU News

Stony Brook University has received Graduate Assistance in Areas of National Need (GAANN) fellowships for six departments: psychology, civil engineering, computer science, biomedical engineering, materials science and chemical engineering, and electrical and computer engineering. Each department offers five fellowships annually, totaling 30 graduate student fellowships per year across the university. These fellowships provide tuition scholarships, fee waivers, and stipends, amounting to $3.6 million over three years. This initiative enhances Stony Brook's capacity to attract and support graduate students in critical research areas

 

Artificial Intelligence Accurately Detects Fractures on X-Rays

HospiMedia

A study published on Hospimedica highlights the effectiveness of artificial intelligence (AI) in detecting fractures on X-rays. The research demonstrated that AI assistance reduced missed fractures by 29% and increased diagnostic sensitivity by 16% for single fractures, and by 30% for cases involving multiple fractures. Additionally, AI improved specificity by 5% and shortened X-ray reading time by an average of 6.3 seconds per patient. The enhancements were particularly notable in detecting fractures in the shoulder, clavicle, and thoracolumbar spine regions