ASA Parameter March 2019

Posted: 3/11/2019


The Official Newsletter of the Chicago Chapter of the American Statistical Association

March 2019

In This Issue

March Conference

April Luncheon

April Workshop

June Workshop



March Conference


Statistical and Analytic Issues in the Criminal Justice System


Andrew Papachristos 

Northwestern University

Jonathan Lewin

Chicago Police Department

Ashna Arora & Anthony Berglund

University of Chicago Crime Lab

Sandy Zabell 

Northwestern University

Nate Steinfeld & Mark Powers

Illinois Sentencing Policy Advisory Council

Leah Welty

Northwestern University


March 15th, 2019

8:30am - 5:00pm


600 W. Chicago, Floor 2

Chicago, IL 60654



Register now for the March Conference!




   April Luncheon


Machine learning: Building a Recommender System - Step by Step


Presenter: Dr. Karin Chu

Head of Data Science, The Trunk Club


When: Tuesday, April 9, noon - 1:30PM

Where: East Bank Club


   April Workshop


Causal Inference


In virtually every field of research or industry, analysts, statisticians, and decision-makers are faced with questions of correlation versus causation.  In order to make business, policy, or product decisions, we need to understand how outcomes of interest would differ under various hypothetical treatments, interventions, or policies. Answering these causal questions are often complicated by real world data, especially big data, where various types of selection bias, such as non-random treatment assignment, need to be addressed. In this day-long workshop sponsored by TechNexus and Enova International, several statistical approaches to causal inference problems in a variety of settings will be discussed, along with the opportunity to implement several of the statistical methods on an example data set using R.


Instructor: Dr. Jason Roy, Rutgers School of Public Health and The Center for Causal Inference


When: Thursday, April 18, 2019

Where: TechNexus, 20 N Upper Wacker Dr #1200, Chicago, IL 60606  


   June Workshop


Bonus Workshop! 


Data Science Workflows Using R and Spark


Sponsored by Amazon Web Services and Metis Data Science Training, this day-long workshop will cover the modern data science process using R as a programming language and Spark as a big-data platform. Powerful pipelines are developed for data extraction, data transformations and tidying, machine learning, streaming data analyses, and data visualizations. During the course, R-based illustrations show how data is transported using REST APIs, etc. into persistent data stores such as the Hadoop Distributed File System (HDFS), NoSQL databases, relational databases and in some cases sent directly to Spark's real-time compute engine.


Instructor:  Dr. E. James Harner, West Virginia University


When: Friday, June 14th, 2019

Where: Amazon Web Services Chicago Office, At&T Center, 227 W Monroe St, Chicago, IL 60606


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