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Data Science ARES

Data Science ARES

Mapping the Milky Way in the Age of Gaia

February 22, 2021

Speakers:

Joshua S. Speagle, University of Toronto

For as long as we have kept records, humans have argued about the nature of the lights in the night sky.

Selected Problems in Classification

February 8, 2021

Speakers:

Paul McNicholas, McMaster University

Data science is discussed along with some historical perspective.

Statistical Tools for Better Understanding Marine Life

February 1, 2021

Speakers:

Joanna Mills Flemming, Dalhousie University

Increasingly large amounts of complex spatiotemporal data are being collected in the marine environment.

Turning qualitative observation to quantitative measurement through statistical computing: vignettes from microbiology and genetics

January 25, 2021

Speakers:

Aleeza Gerstein, University of Manitoba

Biological studies seek to derive explanation for the patterns we see in the world around us.

Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment

December 14, 2020

Speakers:

Kosuke Imai, Harvard University

Despite an increasing reliance on fully-automated algorithmic decision making in our day-to-day lives, human beings still make highly consequential

Resilience to Online Censorship

December 7, 2020

Speakers:

Margaret E. Roberts, University of California

To what extent are Internet users resilient to online censorship?

Identifying the latent space geometry of network models through analysis of curvature

November 30, 2020

Speakers:

Tyler H. McCormick, University of Washington

Modeling statistical and economic networks is fundamentally challenging because of (often high-order) dependence between connections. A common app

School Level Statistics and Data Science: Guided by the Pre-K-12 GAISE II Framework

November 23, 2020

Speakers:

Christine Franklin, Senior Lecturer Emeritus

This presentation highlights the role of questioning in statistics and data science with three examples from the newly revised American Statistical

The art and science of teaching data science

November 2, 2020

Speakers:

Mine Çetinkaya-Rundel

Modern statistics is fundamentally a computational discipline, but too often this fact is not reflected in our statistics curricula.

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

October 26, 2020

Speakers:

Kristian Lum, University of Pennsylvania

The need for fairness, accountability, and transparency in computer models that make or inform decisions about people has become increasingly clear

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