Tens of thousands of B.C. public school students are embarking on new tech-based projects thanks to $150,000 from Simon Fraser University aimed at transforming classroom experience.

The 2025 Cmolik–SFU Grant Program supports classroom, school, and district-based science, technology, engineering, arts and mathematics (STEAM) projects. Administered by Simon Fraser University’s Faculty of Education through the Cmolik Endowment Fund, the program empowers educators to design initiatives that build critical thinking skills, foster curiosity, and create equitable opportunities for students from kindergarten to Grade 12. 

About The Study: In this cohort study of more than 1,900 patients in randomized clinical trials (RCTs) for advanced epithelial ovarian cancer, Black and Asian patients were underrepresented compared with the general population estimates in the U.S., and Black patients had worse survival outcomes compared with white and Asian patients, despite having similar progression-free survival. Equitable enrollment in clinical trials ensures access to cutting-edge treatments and can lead to outcomes comparable to those of white counterparts. Sustained efforts to improve RCT diversity remain essential to long-term equity in cancer care and survival. 

INFORMS, the leading international association for operations research and analytics, announced that Renato D.C. Monteiro, Ph.D. of Georgia Tech has been awarded the 2025 John von Neumann Theory Prize—one of the organization’s highest honors.

DFG recognises work in mathematical systems theory / Award ceremony to be held on 29 October in Bochum in connection with the Gauss Lecture of the German Mathematical Society

As artificial intelligence (AI) takes on increasingly critical roles — from managing power grids to piloting autonomous vehicles — making sure these systems are safe has never been more important. But how can we be certain that the AI controlling them can be trusted?  

A research team at the University of Waterloo is addressing this question using tools from applied mathematics and machine learning to rigorously check and verify the safety of AI-driven systems.