Giulia Toti, Assistant Professor of Teaching, Computer Science Department, UBC

Title: AI Ethics – a design journey

Time: Tuesday, Nov 22, 2022, 12-12:50pm PT

Dr. Giulia Toti is an Assistant Professor of Teaching in the Computer Science Department at UBC - Vancouver. Her academic background includes a Bachelor and Master degree in Biomedical Engineering from the Polytechnic of Turin, and a PhD in Computer Science from the University of Houston. Since her appointment at UBC  in 2021, she has been teaching large undergraduate courses on introduction to systematic programming, applied machine learning, and a course on computer science ethics. She is currently promoting a proposal for a new course on responsible use of data science, believing that it is important for the students to understand the importance of their role not only as technical experts, but as future decision makers.

Anita Sarma, Professor, School of Electrical Engineering and Computer Science, Oregon State University

Title: Engineering Inclusivity into Your Products

Time: Tuesday, Sep 13, 2022, 12-12:50pm PT

Dr. Anita Sarma is Professor in the School of Electrical Engineering and Computer Science. She received her Ph.D. in Computer Science from the University of California, Irvine and was a postdoctoral fellow at Carnegie Mellon University. Her research aims to understand the cognitive processes of humans, and build inclusive technology to help users. Together with her collaborators and students she has co-authored more than 100 conference and journal articles, and has received numerous awards. She received the OSU Breaking Barriers Research award (2021) for her work in removing gender biases from software.  She co-leads the GenderMag project and the SocioeconomicMag project.

Siobahn Day Grady, Assistant Professor, Information Science/Systems, North Carolina Central University

Title: STEM-It-Yourself (SIY): How to cultivate a STEM Identity

Time: Wednesday, March 2, 2022, 1-1:50pm PT

Dr. Siobahn Day Grady is the first woman Computer Science PhD graduate from North Carolina Agricultural and Technical State University (2018). She is an Assistant Professor of Information Science/Systems in the School of Library and Information Science at North Carolina Central University and an Office e-Learning Faculty Fellow at North Carolina Central University. Her research focuses on utilizing machine learning to identify sources of misinformation on social media and toward improving fault detection in autonomous vehicles (https://www.nccu.edu/slis/laboratory-artificial-intelligence-and-equity-research-laier).

Hyunjin Seo, Professor of Digital/Emerging Media and Oscar Stauffer Chair in the William Allen White School of Journalism and Mass Communications at University of Kansas

Title: Community-based Approaches to Enhancing Diversity, Equity and Inclusion in Technology Education

Time: Thursday, Feb 17, 2022, 1-1:50pm PT

Hyunjin Seo, PhD, is professor of digital/emerging media and Oscar Stauffer Chair in the William Allen White School of Journalism and Mass Communications at University of Kansas. She is also the founding director of the KU Center for Digital Inclusion and a faculty associate at the Berkman Klein Center for Internet & Society, Harvard University. Seo’s research focuses on identifying emerging properties of networked communication and understanding their implications for social change, collective action and civic engagement. Recently, she has focused on community-based projects offering technology education including online privacy and security workshops to marginalized populations. She is currently the principal investigator on a National Science Foundation-funded project aimed at supporting technology learning among socio-economically disadvantaged women. She has published over 50 peer-reviewed journal articles and book chapters in this and other related areas. She is also the author of Networked Collective Actions: The Making of an Impeachment (Oxford University Press), which examines intricate relationships between social institutions and agents during networked-facilitated political movements. Her research has been funded by various federal grant-making agencies and foundations including National Science Foundation, National Endowment for the Arts, Google, Ewing Marion Kauffman Foundation, and Kansas Health Foundation.

Kevin Lin, Assistant Teaching Professor, Computing Science & Engineering, University of Washington

Title: CS Education for the Socially-Just Worlds We Need

Time: Wednesday, Jan 26, 2022, 1:00-1:50pm PT

Kevin Lin (he/him) is an Assistant Teaching Professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. He leads instructional innovation in introductory programming and data structures with a focus on restorying computing education toward more critical, contrapuntal, and justice-oriented social futures. Kevin received his MS in Computer Science from UC Berkeley, where he coordinated the teaching and delivery of very large-scale undergraduate CS courses to over 1,000 students per semester.