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Medical Research & Talent|April 5, 2025

UCSF’s Stephen Hauser Wins Breakthrough Prize for Role in Redefining MS

UCSF’s Dr. Stephen Hauser has received the 2025 Breakthrough Prize in Life Sciences for his transformative work on multiple sclerosis. His discovery of B cells as key drivers of the disease led to highly effective therapies now used worldwide, redefining MS treatment and improving outcomes for countless patients.

Medical Research & Talent|March 20, 2025

Every Cure Leverages AI to Accelerate Drug Repurposing for Rare Diseases​

Every Cure is harnessing artificial intelligence to expedite drug repurposing efforts, aiming to uncover new treatments for rare diseases. By analyzing existing medications, they seek to identify potential new applications, offering hope to patients with limited treatment options.

K-12 Education|March 3, 2025

Bringing AI to Life in Classrooms: Insights from the School Teams AI Collaborative

The Learning Accelerator highlights how educators nationwide are exploring the use of AI to enhance instruction, streamline workflows, and support student learning. This overview of the School Teams AI Collaborative shares emerging practices and lessons from schools working to implement AI responsibly and effectively.

Early Childhood Development|January 16, 2025

As Congress Considers Major Cuts to Medicaid, New Report Sheds Light on Role Medicaid Fulfills for Small Towns, Rural Communities

As Congress considers major cuts to Medicaid, a new Georgetown University Center for Children and Families report sheds light on how Medicaid plays a larger role in providing health coverage to people living in small towns and rural communities than it does in metropolitan areas, a trend that is particularly striking among children.

Data Science Education|January 16, 2025

Webinar Brings Together Leading Voices in Education Equity and Data Science

Join Data Science 4 Everyone for a transformative discussion on democratizing data literacy in K-12 education. As data science becomes an essential skill for 21st-century success, every student deserves the opportunity to develop data literacy skills, regardless of their zip code. This webinar brings together leading voices in education equity and data science to explore how we can make data education accessible to all students.

Early Childhood Development|December 5, 2024

The Prenatal-to-3 (PN-3) Policy Impact Center Releases its 2024 State Policy Roadmap

PN-3 unveils its fifth annual State Policy Roadmap, a comprehensive guide outlining evidence-based policies and strategies to improve outcomes for young children. This resource tracks states' progress on 12 effective policies, offering state leaders actionable recommendations to enhance child and family well-being.

Data Science Education|October 21, 2024

Opinion: Outgoing NCTM President Urges Need for Data Science, Data Literacy Education in K-12

New op-ed in The Hechinger Report from outgoing President of National Council of Teachers of Mathematics - NCTM urges the need for data science and data literacy education in K-12.

Data Science Education|September 24, 2024

Outlier Research & Evaluation Releases Findings From Study of Utah Data Science Pilot

Year-long study of a data science pilot in the state of Utah identifies key features of four data science curricula, along with motivations, barriers, and supports for participating teachers and students.

Environmental Innovation|July 24, 2024

VIDEO: EDF’s Millie Chu Baird Shares How MethaneSat is Helping to Slow Climate Change

Environmental advocate and Mission Impact Lead for MethaneSat, Millie Chu Baird, details the heat-trapping side effects of a planet full of methane and explains why understanding where it comes from and taking steps to reduce it is the single most important thing we can do to affect climate change in our lifetimes.

Data Science Education|July 4, 2024

Do We Need a ‘Common Core’ for Data Science Education?

Data literacy is increasingly critical for many jobs in science, technology and beyond, and so far schools in 28 states offer some sort of data science course. But those classes vary widely in content and approach, in part because there’s little agreement around what exactly data science education should look like.