February 11 is the International Day of Women and Girls in Science, which recognizes the need to remove barriers to STEM education and careers for girls and women worldwide.
To celebrate check out the #UofTWomenInSTEM campaign.
Join us for a talk and Q&A with John Desjarlais (P.Eng., MBA) and Matthew Dunn (P.Eng., M.Sc.) as they discuss the connections between engineering and Indigenous peoples through design and ethics.
John Desjarlais is Nehinaw Métis from Kaministikominahiko-skak. John is the General Manager at Great Plains Contracting and the President-Elect for the Association of Professional Engineers and Geoscientists of Saskatchewan (APEGS).
Matthew Dunn is Dene and a citizen of the Athabasca Chipewyan First Nation. Matthew is the Senior Strategic Officer, Indigenous Engagement at the University of Saskatchewan.
John and Matthew are also the co-Presidents of the Saskatchewan Professional Chapter of the Canadian Indigenous Science and Engineering Society (.caISES).
Read an interview with the panelists in the U of T Engineering News.
Part of the Towards Inclusive Practices Series (TIPS) hosted by the Engineering Equity, Diversity, and Inclusion Action Group.
U of T Engineering alumni, join us for this monthly series.
Did you know that the Drinking Water Research Group (DWRG) at the University of Toronto has received funding from Environment and Climate Change Canada (ECCC), as well as the Natural Sciences and Engineering Research Council of Canada (NSERC) to investigate microplastics in Canadian drinking water? Efforts by the DWRG over the past three years have led to the development and subsequent refinement of advanced microplastic sampling and analysis techniques, allowing us to focus on the different health impact related issues.
But what exactly are Microplastics and why are they referred to as a “triple threat”?
U of T Engineering alumni, join us for this monthly series.
Artificial Intelligence (AI) is now a part of the standard physical scientist’s tool kit, and it is regularly used to discover exciting new materials and processes. But AI is famously fickle, susceptible to data set bias and imbalance, subject to information leakage during training, and reliant on humans to evaluate its performance.
Professor Jason Hattrick-Simpers (MSE) discusses best practices for the implementation of AI techniques in the field of materials science, the challenges and successes of his research, and why he believes that robots can help us learn to better trust AI.
Read the abstracts and register for this free and exclusive event.