RSVP by November 5 to uoft.me/realtalk
You’re invited to a night of Real Talk with engineering alumni about the intersection of engineering skills and social change. Equip yourself with knowledge that can help you make decisions about when to act for social change versus when to step back, learn how to find your way when you want to contribute your engineering skills but don’t know how, and better understand how engineers can strike a balance between supporting others and empowering themselves to lead.
This night will offer:
- Tools and take-aways from working alumni that you can use as you decide on and a plan a course to contribute to social justice initiatives with engineering skills and expertise.
- Find out how engineering alumni have empowered themselves,
- The hard lessons they’ve learned about social change work, how they’ve adjusted their approaches and persevered
- The power of deep listening
- A chance for you to plot your own steps towards empowering yourself and others in the face of overwhelming projects for systemic change, including preliminary learning.
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.
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.