Ethical Data Science

About

In the information age, it has never been easier to gather, analyze, and disseminate data, which has resulted in exciting opportunities for research and commerce. However, unethical data treatment can lead to individual and societal harm, including loss of privacy, data misrepresentation and misinformation, bias, and other disparate impacts. The 2022 Women in Data Science—Greater Lafayette Conference will highlight the role data ethics plays in good data stewardship and avoiding harm.

Schedule

March 7, 2022

Time (Eastern Time)Event
11:00 AM - 11:05 AMWelcome
Beth McNeil, Dean of the Libraries and School of Information Studies
11:05 AM - 11:50 AM Panel Discussion
11:50 AM - Noon Audience Q&A


March 8, 2022

Time (Eastern Time)Event
11:00 AM - 11:50 AMWorkshop
“Data ethics practices with machine learning and AI,” presented by Karen DSouza
11:50 AM - Noon Audience Q&A

Registration

Register Here!

Registration for the Greater Lafayette @ Purdue event is free and open to the public.

After registering, you will receive a confirmation email containing information about joining the meeting.

WiDS Global Live Stream

Panelists

Jennifer Bay
Associate Professor
Department of English / College of Liberal Arts
Area of Expertise related to data science: Data disparities, using data ethically
Rosalee Clawson
Professor
Department of Political Science / College of Liberal Arts
Area of Expertise: Ethical, legal, and social implications of data and data science, Privacy
Lindsay Weinberg
Clinical Assistant Professor
Honors College
Area of Expertise: Critical data studies, data ethics, data justice, privacy, fairness in AI
Panel Convenor: Melissa Chomintra
Assistant Professor
Libraries and School of Information Studies
Women in Data Science Co-Ambassador
Panel Moderator: Zoeanna Mayhook
Assistant Professor
Libraries and School of Information Studies
Women in Data Science Co-Ambassador
Panel Moderator: Bethany McGowan
Associate Professor
Libraries and School of Information Studies
Women in Data Science Co-Ambassador

Workshop Details

Data ethics encompasses the ethical topics that surround the use of data. Machine learning in AI applications has improved our lives. However, problems of bias, fairness, and privacy unknowingly creep in after deployment. The presentation discusses data ethics considerations in the real world, tools available to mitigate the risk from data bias, and a demonstration of bias in a dataset. Join us to learn data ethics best practices in your AI-supported applications.

Workshop Presenter

Karen DSouza is a Ph.D. Student in Computer Science at Purdue University, Indianapolis. As a computer engineer, she aims to advance AI in education using novel machine learning techniques that combine data science, computer visualization and signal processing. Her research interests are in artificial intelligence, adversarial robustness related to human behavior and data ethics.

Questions?

Contact Zoeanna Mayhook at zmayhook@purdue.edu or 765-494-6243


Get in touch

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WiDS West Lafayette @ Purdue University is an independent event that is organized by ambassadors Melissa Chomintra, Zoeanna Mayhook, and Bethany McGowan as part of the annual WiDS Worldwide conference organized by Stanford University and an estimated 200+ locations worldwide, which features outstanding women doing outstanding work in the field of data science. All genders are invited to attend all WiDS Worldwide conference events.