ASA Parameter March 2019

Posted: 3/11/2019

Parameter

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

Uptake

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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