TALK: Towards AI-Powered Data-Informed Educational Platforms

The Covid-19 health crisis has seen an increase in the use of digital work platforms, from videoconferencing systems to MOOC-type educational platforms and crowdsourcing and freelancing marketplaces. These levers for sharing knowledge and learning constitute the premises of the future of work. Educational technologies coupled with AI hold the promise of helping learners and teachers. However, they are still limited in terms of social interactions, user experience, and learning opportunities as they must address a tension between learner-centered and platform-centered approaches. I will describe research at the intersection of data-informed recommendations and education theory and conclude with ethical considerations in building educational platforms.

The talk will be followed by a reception with the CDS Women in Data Science group

Date & Time: November 8th, 2022
Venue: NYU Center for Data Science, 60 5th Avenue, 7th Floor open space, New York, NY

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TALK: Commodifying Data Exploration

Exploratory Data Analysis (EDA) is an iterative and tedious process. Several strategies have been proposed to ease the burden on users in EDA, ranging from stepwise to full-guidance approaches. Stepwise approaches rely on computing utility functions that determine the best action to take at each step. Full-guidance approaches rely on learning end-to-end exploration policies. Today’s big question is how to commodify EDA and make it easily deployable for all but for that, we need to know what users are looking for: are they looking for a needle in a haystack, taking a tour of the data, or are they feeling lucky? This talk will investigate those questions and discuss the challenges of storing learned pathways through data or regenerating them when needed.

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Date & Time:  November 9th, 2022
Venue: NYU Tandon School of Engineering, 370 Jay Street, Room #1201, Brooklyn, NY, 11201‍

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Fireside Chat with Dr. Sihem Amer-Yahia

Hosted by Dr. Julia Stoyanovich, Associate Professor of Computer Science & Engineering and of Data Science and Director of the Center for Responsible AI at NYU.

Date & Time: November 14th, 2022
Venue: NYU Center for Data Science, 60 5th Avenue, 7th Floor open space, New York, NY