I School Lectures

Jennifer Allen estimates how much curbing misinformation could benefit public health.

Cornelia Ilin gives a high-level introduction to the transformer model architecture, using bidirectional representations from transformers (BERT) on electronic medical health records to predict pediatric patients’ diagnosis codes.

Ali Montazeralghaem researches recommender systems, deep learning and reinforcement learning methods, and natural language processing.

The creator of open-source projects FinRL, ElegantRL, and FinGPT outlines the deep learning revolution and his experiences applying it to the challenging domain of the financial market.

Arvind Satyanarayan explores the future of human/machine partnerships.

Nina Beguš will introduce “artificial humanities,” an approach that integrates the study of humanities into the creation of technologies

How the definition, production, and leveraging of information are shaped by caste, class, and gender, and the implications for development.

Behind the census’s neat grid of numbers is a collage of messy, human stories — you just have to know how to read them.

Bryan Pardo discusses his lab’s work bridging the gap between digital audio software interfaces and the musicians, podcasters, and sound artists who use the tools.

Dr. Doris Lee presents her dissertation research enabling data analysts to identify trends and patterns, generate and verify hypotheses, and detect outliers and anomalies.

Richmond Wong presents his dissertation researchon the relationships between design practices and social values.

Cash transfers to people in extreme poverty have become a policy tool of choice; should policy-makers go all the way to Universal Basic Income?

Can widespread misperceptions about others’ beliefs sustain social norms? How do social norms change when new information becomes available?

How team identity boosts worker engagement in a gig economy.

New research shows that “naming and shaming” can be counterproductive and even dangerous.

Peter Schwartz is one of the world’s most experienced, insightful, and entertaining analysts of the digital revolution.

Gracen Brilmyer, a 2016 CTSP fellow and MIMS 2016 alum, presents research for their doctoral dissertation.

Requiring biometric authentication excluded and inconenienced legitimate beneficiaries of a social protection program.

What people think machines can know about the mind, and why their beliefs matter

Distraction versus learning with mobile devices in the classroom and student success