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September 2020

Mobility Forum: The Social Consequences Of Mobility Systems

September 18, 2020 @ 12:00 pm - 1:00 pm

Sandy Pentland

online

To build a dynamic community among the mobility and transportation researchers, the MIT Mobility Initiative (MMI) is organizing the "Mobility Forum: Frontier of Mobility Research,” a weekly seminar series showcasing the MIT scholarship. Register for Zoom info.

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Causal Inference and Overparameterized Autoencoders in the Light of Drug Repurposing for SARS-CoV-2

September 18, 2020 @ 11:00 am - 12:00 pm

Caroline Uhler (MIT)

online

Abstract:  Massive data collection holds the promise of a better understanding of complex phenomena and ultimately, of better decisions. An exciting opportunity in this regard stems from the growing availability of perturbation / intervention data (drugs, knockouts, overexpression, etc.) in biology. In order to obtain mechanistic insights from such data, a major challenge is the development of a framework that integrates observational and interventional data and allows predicting the effect of yet unseen interventions or transporting the effect of interventions…

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Mobility Forum: Introducing the MIT Mobility Initiative

September 11, 2020 @ 12:00 pm - 1:00 pm

Jinhua Zhao

online

To build a dynamic community among the mobility and transportation researchers, the MIT Mobility Initiative (MMI) is organizing the "Mobility Forum: Frontier of Mobility Research,” a weekly seminar series showcasing the MIT scholarship. Register for Zoom info.

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Stein’s method for multivariate continuous distributions and applications

September 11, 2020 @ 11:00 am - 12:00 pm

Gesine Reinert (University of Oxford)

online

Abstract: Stein’s method is a key method for assessing distributional distance, mainly for one-dimensional distributions. In this talk we provide a general approach to Stein’s method for multivariate continuous distributions. Among the applications we consider is the Wasserstein distance between two continuous probability distributions under the assumption of existence of a Poincare constant. This is joint work with Guillaume Mijoule (INRIA Paris) and Yvik Swan (Liege). – Bio: Gesine Reinert is a Research Professor of the Department of Statistics and…

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August 2020

Applied Data Science Bootcamp Panel Discussion

August 21, 2020 @ 10:00 am - 11:00 am

online

Join the launch of the "Applied Data Science Bootcamp", a 12-week online bootcamp taught live by MIT IDSS faculty. IDSS professor Devavrat Shah and collaborators from Great Learning, an online education service provider and IDSS alliance member, will share insights on one of the fastest-growing domains in the digital economy, Data Science, and how it will play a critical part in shaping our future. Register now to be a part of the discussion: http://bit.ly/ADSB_Launch

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SES & IDPS Dissertation Defense – Rui Sun

August 19, 2020 @ 1:00 pm - 3:00 pm

Rui Sun (MIT)

online

Rui Sun

Online Learning and Optimization in Operations Management

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July 2020

Joint Webinar – Become a Master in Data Science

July 16, 2020 @ 12:00 pm - 1:00 pm

Presented by UTEC / IDSS

online

Join us on Thursday, July 16th at 12pm UYT (11am EDT) to learn more about this blended learning Master's program offered by Uruguay's Technological University (UTEC), with the academic support of IDSS.   Registration for this webinar is strongly encouraged. To register, please email ds@datascience.edu.uy   Learn more about the educational partnership between UTEC and IDSS.

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Aporta Advanced Program in Data Science & Global Skills webinar

July 15, 2020 @ 2:30 pm - 3:30 pm

Presented by Aporta / IDSS

Learn more about Aporta's Advanced Program in Data Science & Global Skills at this webinar! IDSS supports Aporta's learners in Peru through the MITx MicroMasters Program in Statistics and Data Science​.

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May 2020

The Ethical Algorithm

May 19, 2020 @ 4:00 pm - 5:00 pm

Michael Kearns (University of Pennsylvania)

online

https://youtu.be/IATv0m5U5z8 Title: The Ethical Algorithm Abstract: Many recent mainstream media articles and popular books have raised alarms over anti-social algorithmic behavior, especially regarding machine learning and artificial intelligence. The concerns include leaks of sensitive personal data by predictive models, algorithmic discrimination as a side-effect of machine learning, and inscrutable decisions made by complex models. While standard and legitimate responses to these phenomena include calls for stronger and better laws and regulations, researchers in machine learning, statistics and related areas are…

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Data Science and Big Data Analytics: Making Data-Driven Decisions

May 4, 2020

online

Developed by 11 MIT faculty members at IDSS, this seven-week course is specially designed for data scientists, business analysts, engineers and technical managers looking to learn strategies to harness data. Offered by MIT xPRO. Course begins May 4, 2020.

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