Past Webinars

Data Analysis in The New Normal

Event Info

icon_calendar.jpgMarch 5, 2021
icon_clock.jpg2:30pm CDT
icon_stopwatch.jpgDuration: 2 hours

Speaker

Kevin Hartman

Kevin Hartman 
Global Head of Analyst Development
Google

Kevin Hartman is a devoted and artistic practitioner of data. He believes data must do more than simply supply insights that motivate creative thought. Rather, data must be used to express insights in ways that are just as creative as the ideas they inspire. He is a 6-time winner of the Advertising Research Foundation's Ogilvy Award and oversaw the design of marketing insights and strategies behind campaigns that earned 5 Cannes Lions, 5 Effies, and over 50 Tempos.

As Global Head of Analyst Development at Google, Kevin is responsible for leading the design, implementation, and evolution of a program to recruit, onboard, and develop 3,000+ data analysts working across Google's global network.

In addition to his role at Google, Kevin teaches graduate-level courses in analytics at the University of Notre Dame, the University of Chicago, and the University of Illinois. He is the author of "Digital Marketing Analytics: In Theory And In Practice."

Data is more valuable, abundant, and - perhaps - confusing than ever before making the analyst's role critically important in today's business world. Yet realizing the analyst's potential means adapting to a complex confluence of emerging technologies, shifting regulatory conditions, and heightened consumer mistrust. How can the organization create an environment in which the analyst can thrive? And what must the analyst do to succeed in their "New Normal"?

View recoding of the webinar here

Event Info

icon_calendar.jpgJune 12, 2020
icon_clock.jpg4pm CDT
icon_stopwatch.jpgDuration: 2 hours

Speaker

Katie Ferguson Katie Ferguson
Analytics & Data Science Recruiter at Burtch Works

Recruiting specialist focused on the placement of data scientists and predictive analytics professionals nationwide.

The event started with a keynote presentation on recruiting best practices in the current job market and impact due to Covid-19 by Katie Ferguson.

Next, a pre-selected group of students broke out into sessions. In each session, a senior member from the INFORMS Chicago Chapter offered a 1-on-1 review of their resumes and answer their questions.

This webinar wass hosted by INFORMS Chicago Chapter in collaboration with UIC and NIU.

COVID-19 Webinar Series: Modeling Supply Chain Decisions for Resource Sharing with an Application to Ventilator Allocation to Combat COVID-19

Event Info

icon_calendar.jpgJune 18, 2020
icon_clock.jpg4pm CDT
icon_stopwatch.jpgDuration: 1 hour

Speaker

Sanjay Mehrotra Dr. Sanjay Mehrotra
Director, Center for Engineering and Health
Professor, Industrial Engineering and Management Sciences
McCormick School of Engineering

Professor (courtesy), Department of Medical Social Sciences
Feinberg School of Medicine
Northwestern University

Sanjay Mehrotra is the director of Center for Engineering at Health at Northwestern University. He is widely known for his methodological contributions to research in mathematical optimization that has spanned from linear, mixed integer, stochastic, multi-objective, and risk adjusted robust optimization. His healthcare research includes topics in predictive modeling, budgeting, hospital operations, and policy modeling using modern operations research tools. He has been the chair of the INFORMS Optimization Society, and has also served on INFORMS board of directors. He is a Fellow of INFORMS.

We presented a stochastic optimization model for allocating and sharing a critical resource in the case of a pandemic. The demand for different entities peaks at different times and an initial inventory for a central agency is to be allocated. The entities (states) may share the critical resource with a different state under a risk‐averse condition. The model was applied to study the allocation of ventilator inventory in the COVID‐19 pandemic by FEMA to different U.S. states. Results were generated and reported for different demand scenarios (average, above average, etc), including a worst‐case where the demand is at the upper limit of the 95% confidence interval of state needs prediction from a prominent model. An important finding of this study is that a central agency (FEMA) can act as a coordinator for sharing critical resources that are in short supply over time to add efficiency in the system. Moreover, through properly managing risk‐aversion of different entities (states) additional efficiency can be gained. An additional implication is that ramping up production early in the planning cycle allows reducing shortfall significantly. The optimal timing of this production ramp‐up consideration can be based on a cost‐benefit analysis.

View recoding of the webinar here

COVID-19 Webinar Series: Risk-Based Thinking in a COVID-19 World

Event Info

icon_calendar.jpgJune 26, 2020
icon_clock.jpg11am CDT
icon_stopwatch.jpgDuration: 1 hour

Speaker

Sheldon Jacobsen

Dr. Sheldon Jacobson
Founder Professor of Computer Science
Department of Computer Science, University of Illinois

201 North Goodwin Avenue (MC-258), Urbana, IL 61801-2302
(217) 244-7275 (office)
shj@illinois.edu
http://shj.cs.illinois.edu
Twitter: @shjanalytics

Sheldon H. Jacobson is a Founder Professor of Computer Science at the University of Illinois. He has a B.Sc. and M.Sc. (both in Mathematics) from McGill University, and a M.S. and Ph.D. (both in Operations Research) from Cornell University. From 2012-2014, he was on leave from the University of Illinois, serving as a Program Director at the National Science Foundation. His research interests span theory and practice, covering decision-making under uncertainty and optimization-based artificial intelligence, with applications in aviation security, public policy, public health, and sports. He has been recognized by numerous awards, including a Guggenheim Fellowship, the IISE David F. Baker Distinguished Research Award, and the INFORMS Impact Prize. He is a fellow of AAAS, IISE and INFORMS. He serves as the Founding Director for the Institute for Computational Redistricting (ICOR), http://redistricting.cs.illinois.edu.

The SARS-CoV-2 virus pandemic has impacted every facet of our lives.  This talk focuses on risk-based concepts that can help us mitigate risk associated with the pandemic.  Examples using aviation security and community reopening are discussed to illustrate these points.

View recoding of the webinar here