Tag Archives: slidecasts

Resilience Analytics at the University of Oklahoma

I was invited to give a guest lecture and public research seminar at the University of Oklahoma for Dr. Kash Barker’s Presidential Dream Course entitled “Analytics of Resilient Cyber-Physical-Social Networks.” Kash and I are collaborating on a project entitled “Resilience Analytics: A Data-Driven Approach for Enhanced Interdependent Network Resilience” funded by the National Science Foundation as part of the Critical Resilient Interdependent Infrastructure Systems and Processes (CRISP) initiative. My lecture and research talk were motivated by our collaborative research project.

My lecture was about modeling service networks and focused on location problems using network optimization for public safety. I introduced public safety operations research and discussed several location models for modeling service networks.

My research seminar was entitled “Designing emergency medical service systems to enhance community resilience.” My slides are below.

I enjoyed exploring the OU campus and the gorgeous gothic architecture everywhere. I especially liked seeing gargoyles on the campus library.


Should a football team run or pass? A game theory and linear programming approach

Last week I visited Oberlin College to deliver the Fuzzy Vance Lecture in Mathematics (see post here). In addition, I gave two lectures to Bob Bosch’s undergraduate optimization course. My post about my lecture on ambulance location models is here.

My second lecture was about how to solve two player zero-sum games using linear programming. The application was a sports analytics application of whether a football team should run or pass. The purpose of the lecture was to learn about zero-sum games (it was a new topic to most students) and learn how to solve zero-sum games with two decision-makers using linear programming.

This lecture tied into my Badger Bracketology work, but since I do not use optimization in my college football playoff forecasting model, I selected another football application.


Related reading:

integer programming for locating ambulances

Last week I visited Oberlin College to deliver the Fuzzy Vance Lecture in Mathematics (see post here). In addition, I gave two lectures to Bob Bosch’s undergraduate optimization course. I will post my materials for both of my lectures on my blog. The first lecture was related to my evening talk and focused on ambulance location models and modeling integer programs.

The purpose of the lecture was to work on modeling in integer programming. We focused on coverage models and worked through two of the three models that successively lift simplifying assumptions (in a 75 minute lecture). The “Integer Programming Bag of Tricks” on slide 18 contains a series of constraints for modeling conditional constraints (courtesy of Jeff Linderoth and Jim Luedtke). We use these tricks to assign at least L calls for service (demand) to stations–but only stations that are “open”–in the modeling exercise. Slides are below.

Related reading:

5 observations about women in engineering: my talk at the women in engineering luncheon at CASE 2013

I gave a talk at the women in engineering luncheon at the IEEE Conference on Automation Science & Engineering (CASE 2013) in Madison Wisconsin (August 17-21, 2013) after some gentle prodding by my colleagues Leyuan Shi and Jingshan Li who are organizing the conference. Those of you who read my blog know that I am passionate about women in STEM and am this year’s President of WORMS (the INFORMS forum for women in OR/MS).

I haven’t given a talk like this before, so I based my talk around five observations about women in engineering, good and bad (mostly good, we’ve come a long way). Several of the slides were inspired by previous blog posts, so they may look familiar to regular readers.

Update: I posted this blog post before my talk. The talk went very well. The slide that received the most positive attention was slide #20, which is tips for raising the profile of women researchers that I borrowed from Anna Nagurney. Men could do these things, and I was glad that they agreed. One excellent advocate for women was even in attendance (my advisor Sheldon Jacobson).

operations research, disasters, and science communication

I had the pleasure of speaking at the AAAS Meeting on February 17 in a session entitled Dynamics of Disasters: Harnessing the Science of Networks to Save Lives. I talked about my research that addresses how to use scarce public resources in fire and emergency medical services to serve communities during severe but not catastrophic weather events. My research has application to weather events such as blizzards, flash flooding, derechos, etc. that are not so catastrophic that the National Guard would come. Here, a community must meet demands for fire and health emergencies within a community using the resources that they have during “regular” days – e.g., ambulances and fire engines – while the transportation network is impaired due to snow, flooding, etc. Everything is temporarily altered, including the types of 911 calls that are made and travel and service times as they are affected by an impaired transportation network. Plus, it’s always a lot of fun to mention “Snowmaggedon” during a talk.

Anna Nagurney organized the session, and the other speakers included David McLaughlin, Panos Pardalos, Jose Holguin-Veras, and Tina Wakolbinger. They talked about a number of issues, including:

  • how to detect tornadoes temporally and spatially by deploying new types of sensors
  • how to evaluate people and even livestock during hurricanes and floods
  • what the difference between a disaster and a catastrophe is
  • what types of emergency logistics problems require our expertise: national versus internationa, public vs. non-profit, mitigation vs. preparedness vs. response, short-term disaster vs. long-term disaster

I applaud Anna Nagurney for organizing a terrific session. It was fascinating to talk to people in my field about disasters without focusing too much on the modeling details. We all mentioned which types of methodologies we used in the talk, but we focused on the takeaways, actionable results, and policy implications. And it’s clear that the opportunities in this area are almost endless.

The AAAS Meeting is all about science communication to a large audience. The talks focus on broader impacts not specific model details. It’s not always easy for me to take a step back from my research and explain it at a higher level, but I get a lot of practice through blogging and talking about my research in my classes. Still, I was nervous. I am a mere blogger – the conference is heavily attended by real science journalists. In fact, I had to submit speaker information and a picture ahead of time so that journalists prepare for my talk. I truly felt like an OR ambassador – it was quite an experience.

I attended another session on disasters, where the topics often revolved around forecasting power, false alarms, and risk communications. I have blogged about these issues before in posts such as what is the optimal false alarm rate for tornado warnings? and scientists convicted for manslaughter for making a type II error. This appears to be an ongoing issue. According to the scientists on the panel, part of the problem stems from journalists who want to make a good story even juicier by not portraying risk accurately, thus leading to false alarm fatigue.

Other sessions at the AAAS Meeting addressed several fascinating topics. One session was on writing about science, and it featured a writer from the Big Bang Theory. Another session was about communicating science to Congress. Many of the speakers were from science publications and PBS shows.

I have at least one other blog post on science communication in the works, so stay tuned.

My slides are below:

When is a two point conversion better than an extra point? A dynamic programming approach.

This post continues my series of slidecasts about football. My first slidecast is here.

Today’s topic addresses when a two point conversion is better than an extra point after a touchdown. As you may guess, it is best for a team to go for two when they are down by eight. You can see other scenarios when it is best to go for two, based on the point differential and the remaining number of possessions in the game.

This presentation is on Wayne Winston’s book Mathletics, which is a fantastic introduction to sports analytics.

Related post:

should a football team go for it on fourth down?

With the Superbowl coming up, I created three sports analytics slidecasts for analyzing football strategies. I will post one per day here on the blog.

The first slidecast deals with the decision of whether a football team should go for it on fourth down (or should they punt). The presentation is adapted from the book Scorecasting by Tobias Moskowitz and Jon Werthem. Wayne Winston blogged about this, and his blog post went viral. Here is another look at this issue.