Events

This event is hosted by the Canadian Statistical Sciences Institute (CANSSI). For full details, please visit their events page.

Speaker

Dr. Kristian Lum
Assistant Research Professor
Department of Computer and Information Science
School of Engineering and Applied Science
University of Pennsylvania 

Talk Title: Fairness, Accountability, and Transparency: (Counter)-Examples from Predictive Models in Criminal Justice

The READI Project (Risk Management, Economic Sustainability, and Actuarial Science Development in Indonesia) is a project funded by the Government of Canada (Global Affairs Canada), Manulife Indonesia, and Sun Life Financial and implemented by the University of Waterloo in collaboration with the Financial Services Authority (OJK). The main objective of the READI Project is to make Indonesia a regional center of excellence in actuarial science and risk management.

As the READI project comes to an end, this event will give appreciation to all of the READI Project partners, share experiences and lessons learned from the results achieved by the READI Project with partners in order to advance actuarial science in Indonesia. As well as increase the commitment of related parties (government, universities, actuarial professional organizations, and industry) to support actuarial development in Indonesia in the future.

When: Wednesday, Nov 4, 2020 09:00 PM Eastern Time (US and Canada)

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

Please Note: This seminar will be given online.

Predictive Models in Health Research

Lasso, Random Forests, and especially Deep Neural Networks are very popular in data science applications. Do they have a role in health research, and are they likely to replace more traditional statistical models? In this talk I will argue that it depends on the application, the amount of data available, and the purpose of the modeling, with some guidance from the "Occam's razor" principle.

Please Note: This seminar will be given online.

Local eigenvalue statistics of random matrices and Dyson Brownian motion

Please Note: This seminar will be given online.

Statistical inference for multiple network data

Please Note: This seminar will be given online.

Hypothesis Testing for Large-Scale Data: Enhancing Reliability and Efficiency

Please Note: This seminar will be given online.

Causal Inference Methods To Detect And Reduce Societal Inequalities In Data-Driven Applications

Please Note: This seminar will be given online.

Transparent and robust causal inference in data science

Please Note: This seminar will be given online.

Instrumental Variable Approaches to Individualized Treatment Regimes under Endogeneity

Please Note: This seminar will be given online.

Latent Class Methods for Complex Chronic Disease Data