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Christian Gorenflo, PhD candidate
David R. Cheriton School of Computer Science

Blockchain technologies are expected to make a significant impact on a variety of industries. However, one issue holding them back is their limited transaction throughput, especially compared to established solutions such as distributed database systems. 

Nolen Scaife, PhD candidate
Florida Institute for Cybersecurity, University of Florida

Credit, debit, and prepaid cards have dominated the payment landscape for decades, empowering the economy. Unfortunately, these legacy systems were not designed for today's adversarial environment, and deployment of new technologies is slow, expensive, and difficult to adopt. 

Thursday, January 17, 2019 10:30 am - 10:30 am EST (GMT -05:00)

Mathematics Education Seminar • The Curse of Knowledge in Learning

Dan Wolczuk, Faculty of Mathematics
University of Waterloo

In educational psychology, the curse of knowledge refers to the phenomenon that individuals inherently assume that the people they are communicating with have the same knowledge and thought processes as they do. 

In this seminar, we will discuss how the curse of knowledge can affect both instructors and students, and we will look at some strategies that instructors can use to try to counteract this and improve student learning.

David Lepofsky, LLB, Osgoode Hall Law School, LL.M, Harvard Law School
Chair, Accessibility for Ontarians with Disabilities Act Alliance
Adjunct Professor, Osgoode Hall Law School

Eitan Grinspun, Associate Professor of Computer Science and Applied Mathematics
Columbia University

Blockbuster films depend on computational physics. The focus is on models that capture the qualitative, characteristic behavior of a mechanical system. Visual effects employ mathematical and computational models of hair, fur, skin, cloth, fire, granular media, and liquids. This is scientific computing with a twist. But techniques developed originally for film can also advance consumer products, biomedical research, and basic physical understanding.

Thursday, January 24, 2019 10:30 pm - 10:30 pm EST (GMT -05:00)

Seminar • Artificial Intelligence — Learning to Understand Entities in Text

Eunsol Choi, Paul G. Allen School of Computer Science
University of Washington

Real world entities such as people, organizations and countries play a critical role in text. Reading offers rich explicit and implicit information about these entities, such as the categories they belong to, relationships they have with other entities, and events they participate in.