Tag Archives: conferences

Coles research symposium on Homeland Security

I recently attended the Coles Research Symposium on Homeland Security hosted by the Kennesaw State University Coles College of Business. The symposium was organized by Prof. Jomon Paul, and he made sure all attendees felt welcome. I gave a keynote talk entitled “New frontiers in homeland security: advances and opportunities.”

The symposium was focused and interdisciplinary, with a single track of engaging speakers. who discussed advances in homeland security research. The talks spanned economics, optimal control, operations research, behavioral economics, public policy and information systems. I hadn’t attended a small, interdisciplinary conference like this in years due to the COVID-19 pandemic, and I had sorely missed the opportunity to network and grow as a researcher at symposiums such as this. As a result, the symposium was more intellectually stimulating than usual. I was able to meet everyone at the conference and had research conversations with the other speakers and attendees during meals and breaks. We came from different quantitative disciplines, and our different assumptions and perspectives were complementary. The conversations energized me and caused me to think more deeply about important homeland security problems to address. I left the conference excited about my future research endeavors and starting new projects.

Papers I highlighted in my talk:

  1. Albert, L.A., Nikolaev, A., and Jacobson, S.H. 2022. Homeland Security Research Opportunities. To appear in IISE Transactions. https://www.tandfonline.com/doi/abs/10.1080/24725854.2022.2045392.
  2. Enayaty-Ahangar, F., Albert, L.A., DuBois, E. 2021. A survey of optimization models and methods for cyberinfrastructure security. IISE Transactions 53(2), 182 – 198. https://doi.org/10.1080/24725854.2020.1781306
  3. Albert, L.A., Nikolaev, A., Lee, A.J., Fletcher, K., and Jacobson, S.H., 2021. A Review of Risk-Based Security and Its Impact on TSA PreCheck, IISE Transactions 53(6), 657 – 670. https://doi.org/10.1080/24725854.2020.1825881

Omega Rho Keynote lecture at the 2021 INFORMS Annual Meeting

I was honored to give the Omega Rho keynote lecture at the 2021 INFORMS Annual Meeting. My talked was entitled “A journey through public sector operations research.” My presentation was recorded and can be viewed on YouTube.

Laura Albert gives the 2021 Omega Rho Keynote

Further reading: Op-Eds

Travel bans can’t stop this pandemic. The Hill, March 18, 2020.

Opening the economy is not the problem — opening without a plan to control the risk is the problem, Fox News, July 3, 2020.

Ready for takeoff: Three simple guidelines for flying after vaccination, The Hill, February 7, 2021.

Also check out some of my other media appearances.

Further reading: Review articles and position papers

Albert, L.A. Engaging the Media: Telling Our Operations Research Stories to the Public. SN Oper. Res. Forum1, 14 (2020). https://doi.org/10.1007/s43069-020-00017-0

Albert, L.A., Nikolaev, A., Lee, A.J., Fletcher, K., and Jacobson, S.H., 2021. A Review of Risk-Based Security and Its Impact on TSA PreCheck, To appear in IISE Transactions. https://doi.org/10.1080/24725854.2020.1825881

Enayaty-Ahangar, F., Albert, L.A., DuBois, E. 2021. A survey of optimization models and methods for cyberinfrastructure security. IISE Transactions 53(2), 182 – 198. https://doi.org/10.1080/24725854.2020.1781306

Further reading: Research papers

McLay, L.A., 2009.  A Maximum Expected Covering Location Model with Two Types of Servers, IIE Transactions 41(8), 730 – 741.

McLay, L. A., S. H. Jacobson, and J. E. Kobza, 2006. A Multilevel Passenger Prescreening Problem for Aviation Security, Naval Research Logistics 53 (3), 183 – 197.

McLay, L. A., S. H. Jacobson, and A. G. Nikolaev, 2009.  A Sequential Stochastic Passenger Screening Problem for Aviation Security, IIE Transactions 41(6), 575 – 591.

McLay, L.A., Mayorga, M.E., 2011.  Evaluating the Impact of Performance Goals on Dispatching Decisions in Emergency Medical Service. IIE Transactions on Healthcare Service Engineering 1, 185 – 196.

McLay, L.A., Moore, H. 2012. Hanover County Improves Its Response to Emergency Medical 911 Calls. Interfaces 42(4), 380-394.

McLay, L.A., Mayorga, M.E., 2013.  A model for optimally dispatching ambulances to emergency calls with classification errors in patient priorities. IIE Transactions 45(1), 1—24.

Toro-Diaz, H., Mayorga, M.E., Chanta, S., McLay, L.A., 2013. Joint location and dispatching decisions for Emergency Medical Services. Computers & Industrial Engineering 64(4), 917 – 928.

McLay, L.A., Mayorga, M.E., 2013.  A dispatching model for server-to-customer systems that balances efficiency and equity. Manufacturing & Service Operations Management 15(2), 205 – 200.

Ansari, S., McLay, L.A., Mayorga, M.E., 2015. A Maximum Expected Covering Problem for District Design, Transportation Science 51(1), 376 – 390.

Yoon, S., Albert, L.A., and V.M. White 2021. A Scenario-Based Ambulance Location Model for Emergency Response with Two Types of Vehicles. To appear in ­Transportation Science. https://doi.org/10.1287/trsc.2020.1023

Yoon, S., and Albert, L.A. 2020. A dynamic ambulance routing model with multiple response. Transportation Research Part E: Logistics and Transportation Review. 133, 101807. https://doi.org/10.1016/j.tre.2019.11.001

Yoon, S. and Albert, L.A., 2021. Dynamic Dispatch Policies for Emergency Response with Multiple Types of Vehicles. Transportation Research Part E: Logistics and Transportation Review 152, 102405. https://doi.org/10.1016/j.tre.2021.102405

Zheng, K., Albert, L., Luedtke, J.R., Towle, E. 2019. A budgeted maximum multiple coverage model for cybersecurity planning and management, IISE Transactions 51(12), 1303-1317.

Laura Albert gives the 2021 Omega Rho Keynote


Optimization with impact: my journey in public sector operations research.

Today, I gave a keynote talk at the Advances in Data Science & Operations Research Virtual Conference, presented by Universidad Galileo in collaboration with INFORMSttt. It’s the first INFORMS conference made for Latino America that brings together the scientific community from the areas of operations research, business intelligence, and data science. Dr. Jorge Samayoa, the General Chair, and Dr. José Ramírez, the Executive Chair, were wonderful hosts.

My keynote talk was entitled “Optimization with impact: my journey in public sector operations research.” My slides are below.

 

References from my talk include:

Media Engagement

  1. L.A. Albert. 2020. Engaging the media: Telling our operations research stories to the public. SN Operations Research Forum 1 (14) https://doi.org/10.1007/s43069-020-00017-0
  2. Many of my media appearances are here.

Cyber-Security

  1. Zheng, K., Albert, L., Luedtke, J.R., Towle, E. 2019. A budgeted maximum multiple coverage model for cybersecurity planning and management, IISE Transactions 51(12), 1303-1317.
  2. Zheng, K., and Albert, L.A. A robust approach for mitigating risks in cyber supply chains, Risk Analysis 39(9), 2076-2092.
  3. Zheng, K., and Albert, L.A. Interdiction models for delaying adversarial attacks against critical information technology infrastructure. Naval Research Logistics 66(5), 411 – 429.
  4. Enayaty-Ahangar, F., Albert, L.A., DuBois, E. 2020. A surey of optimization models and methods for cyberinfrastructure security. To appear in IISE Transactions. https://doi.org/10.1080/24725854.2020.1781306

Aviation security

  1. McLay, L. A., S. H. Jacobson, and J. E. Kobza, 2006. A Multilevel Passenger Prescreening Problem for Aviation Security, Naval Research Logistics 53 (3), 183 – 197.
  2. Lee, A.J., A. McLay, and S.H. Jacobson, 2009. Designing Aviation Security Passenger Screening Systems using Nonlinear Control. SIAM Journal on Control and Optimization 48(4), 2085 – 2105.
  3. McLay, L. A., S. H. Jacobson, and A. G. Nikolaev, 2009. A Sequential Stochastic Passenger Screening Problem for Aviation Security, IIE Transactions 41(6), 575 – 591.
  4. McLay, L.A., S.H. Jacobson, A.J. Lee, 2010. Risk-Based Policies for Aviation Security Checkpoint ScreeningTransportation Science 44(3), 333-349.
  5. Albert, L.A., Nikolaev, A., Lee, A.J., Fletcher, K., and Jacobson, S.H., 2020. A Review of Risk-Based Security and Its Impact on TSA PreCheck, To appear in IISE Transactions.

Fire and Emergency Medical Services

  1. McLay, L.A., A Maximum Expected Covering Location Model with Two Types of Servers, IIE Transactions 41(8), 730 – 741.
  2. McLay, L.A. and M.E. Mayorga, 2010. Evaluating Emergency Medical Service Performance Measures. Health Care Management Science 13(2), 124 – 136.
  3. McLay, L.A., Mayorga, M.E., 2011. Evaluating the Impact of Performance Goals on Dispatching Decisions in Emergency Medical Service. IIE Transactions on Healthcare Service Engineering 1, 185 – 196.
  4. McLay, L.A., Moore, H. 2012. Hanover County Improves Its Response to Emergency Medical 911 Calls. Interfaces 42(4), 380-394.
  5. McLay, L.A., Mayorga, M.E., 2013.  A model for optimally dispatching ambulances to emergency calls with classification errors in patient priorities. IIE Transactions 45(1), 1—24.
  6. Toro-Diaz, H., Mayorga, M.E., Chanta, S., McLay, L.A., 2013. Joint location and dispatching decisions for Emergency Medical Services. Computers & Industrial Engineering 64(4), 917 – 928.
  7. Chanta, S., Mayorga, M. E., McLay, L. A., 2014. Improving Rural Emergency Services without Sacrificing Coverage: A Bi-Objective Covering Location Model for EMS Systems. Annals of Operations Research 221(1), 133 – 159.
  8. Grannan, B.C., Bastian, N., McLay, L.A. A Maximum Expected Covering Problem for Locating and Dispatching Two Classes of Military Medical Evacuation Air Assets. Operations Research Letters 9, 1511-1531.
  9. McLay, L.A., Mayorga, M.E., 2013. A dispatching model for server-to-customer systems that balances efficiency and equity. Manufacturing & Service Operations Management 15(2), 205 – 200.
  10. Ansari, S., McLay, L.A., Mayorga, M.E., 2015. A Maximum Expected Covering Problem for District Design, Transportation Science 51(1), 376 – 390.
  11. Ansari, S., Yoon, S., Albert, L. A., 2017. An approximate Hypercube model for public service systems with co-located servers and multiple response. Transportation Research Part E: Logistics and Transportation Review. 103, 143 – 157.
  12. Yoon, S., Albert, L. An Expected Coverage Model with a Cutoff Priority Queue. Health Care Management Science 21(4), 517 – 533. DOI: https://doi.org/10.1007/s10729-017-9409-3.
  13. Yoon, S., and Albert, L.A. A dynamic ambulance routing model with multiple response. To appear in Transportation Research Part E: Logistics and Transportation Review. https://doi.org/10.1016/j.tre.2019.11.001
  14. Yoon, S., Albert, L.A., and V.M. White 2020. A Scenario-Based Ambulance Location Model for Emergency Response with Two Types of Vehicles. To appear in ­Transportation Science.

 


EURO Working Group on Locational Analysis meeting plenary

I gave a plenary talk at the EURO Working Group for Locational Analysis (EWGLA) XXV Conference entitled “On designing public sector systems.” I am grateful to Prof. Dr. Lieselot Vanhaverbeke, organizer of the 2019 EURO Working Group on Locational Analysis meeting and professor at Vrije Universiteit Brussel (VUB) for inviting me. Her hospitality and the hospitality of the entire conference organizing committee was amazing. They even gave me a box of very nice locally made gourmet speculoos cookies, which I greatly appreciate.

My slides are below.

The references from my presentation capture almost two decades of research. The papers can be found in the Research section of my blog and are listed at the bottom of this blog post.

 

I captured much of my visit on twitter. Here are some highlights:

References:

Aviation security

1.Jacobson, S. H., J. E. Virta, L. A. McLay, J. E. Kobza, 2005.  Integer Program Models for the Deployment of Airport Baggage Screening Security Devices, Optimization and Engineering 6(3) 339 – 359.

2.Jacobson, S. H., L. A. McLay, J. E. Kobza, J. M. Bowman, 2005. Modeling and Analyzing Multiple Station Baggage Screening Security System Performance, Naval Research Logistics 52(1), 30 – 45.

3.McLay, L. A., S. H. Jacobson, and J. E. Kobza, 2006. A Multilevel Passenger Prescreening Problem for Aviation Security, Naval Research Logistics 53 (3), 183 – 197.

4.Lee, A.J., L.A. McLay, and S.H. Jacobson, 2009. Designing Aviation Security Passenger Screening Systems using Nonlinear Control.  SIAM Journal on Control and Optimization 48(4), 2085 – 2105.

5.McLay, L. A., S. H. Jacobson, and A. G. Nikolaev, 2009.  A Sequential Stochastic Passenger Screening Problem for Aviation Security, IIE Transactions 41(6), 575 – 591.

6.McLay, L.A., S.H. Jacobson, A.J. Lee, 2010.  Risk-Based Policies for Aviation Security Checkpoint Screening.  Transportation Science 44(3), 333-349.

Infrastructure Protection

1.  Albert McLay, L., 2015. Discrete optimization models for homeland security and emergency management, TutORial at the 2015 INFORMS Annual Meeting, November 1-4, 2015, Philadelphia, PA.

2.Zheng, K., Albert, L., Luedtke, J.R., Towle, E. 2019. A budgeted maximum multiple coverage model for cybersecurity planning and management, To appear in IISE Transactions. DOI: 10.1080/24725854.2019.1584832

3.Zheng, K., and Albert, L.A. 2019. Interdiction models for delaying adversarial attacks against critical information technology infrastructure. To appear in Naval Research Logistics.

Emergency Medical Services

1.McLay, L.A., 2009.  A Maximum Expected Covering Location Model with Two Types of Servers, IIE Transactions 41(8), 730 – 741.

2.McLay, L.A., 2010. Emergency Medical Service Systems that Improve Patient Survivability. Encyclopedia of Operations Research in the area of “Applications with Societal Impact,” eds. J.J. Cochran, L. A. Cox, Jr., P. Keshinocak, J.C. Smith. John Wiley & Sons, Inc., Hoboken, NJ (published online: DOI: 10.1002/9780470400531.eorms0296).

3.McLay, L.A. and M.E. Mayorga, 2010. Evaluating Emergency Medical Service Performance Measures.  Health Care Management Science 13(2), 124 – 136.

4.McLay, L.A., Mayorga, M.E., 2011.  Evaluating the Impact of Performance Goals on Dispatching Decisions in Emergency Medical Service. IIE Transactions on Healthcare Service Engineering 1, 185 – 196

5.Ansari, S., McLay, L.A., Mayorga, M.E., 2015. A maximum expected covering problem for locating and dispatching servers. To appear in Transportation Science.

6.McLay, L.A., Moore, H. 2012. Hanover County Improves Its Response to Emergency Medical 911 Calls. Interfaces 42(4), 380-394.

7.Ansari, S., McLay, L.A., Mayorga, M.E., 2015. A Maximum Expected Covering Problem for District Design, Transportation Science 51(1), 376 – 390.

8.Grannan, B.C., Bastian, N., McLay, L.A. 2015. A Maximum Expected Covering Problem for Locating and Dispatching Two Classes of Military Medical Evacuation Air Assets. Operations Research Letters 9, 1511-1531.

9.Yoon, S. and Albert, L.A. 2018. Dynamic Resource Assignment for Emergency Response with Multiple Types of Vehicles, Under review at Operations Research, October 2018.

10.Yoon, S., and Albert, L.A. 2019. A dynamic ambulance routing model with multiple response. Under review at Transportation Research Part E: Logistics at Transportation Science.

 


2019 INFORMS Government and Analytics Summit: a recap

I again chaired the INFORMS Government & Analytics Summit in Washington, D.C. on May 20, 2019. The Summit brought together INFORMS experts with policymakers from Capitol Hill, federal agencies, and other policy stakeholders to showcase impactful ways in which operations research tools are being used to save lives, save money and solve problems in the public and private sectors. Pictures from the Summit are below.

Secretary John McHugh gave the keynote talk. INFORMS President Ramayya Krishnan and INFORMS Executive Director Melissa Moore also gave some remarks.

I chaired the panel with panelists Bala Ganesh (UPS), Karla Hoffman (George Mason University), Don Kleinmuntz (Kleinmuntz Associates), Sheldon Jacobson (University of Illinois), David Shmoys (Cornell University). The panel discussed successful case studies based on their work, research, and consulting. The panel was recorded, and you can watch it below:

I discussed the Summit on the INFORMS Resoundingly Human podcast. You can listen to it here.

Secretary John McHugh delivers the opening keynote

I introduce the panelists

Panelists David Shmoys, Don Kleinmuntz, Karla Hoffman, Sheldon Jacobson, and Bala Ganesh

I ask the panelists a question.

 

Read my post about last year’s INFORMS Government & Analytics Summit.


2018 INFORMS Government & Analytics Summit: a recap

I chaired the 2018 INFORMS Government & Analytics Summit, an outreach event to government policymakers and Congressional staffers about how operations research can save lives, save money, and solve problems. It was a blast. Here is a recap of the event. Please visit the website for more information and to find recordings of the talks that will be posted soon. INFORMS Executive Director Melissa Moore kicked off the Summit with the following video:

I gave a few opening remarks and gave a quick, non-technical overview of operations research and analytics:

Secretary Anthony Foxx and General Michael Hayden gave the two keynotes that were the center of the Summit. Both speakers were experienced, understood the value proposition that OR and analytics offer to government officials and policymakers, and are dynamic and engaging speakers.

Former Transportation Secretary Foxx focused on transportation, and he emphasized the importance of integrating transportation solutions. In the United States, transportation is decentralized, with decisions, operations, and maintenance being made by many players, including the Federal government, local governments, and the private sector. A challenge is in developing a cohesive transportation plan with so many players. It is further compounded by transportation data that is collected and owned by so many of these players and stored at various sites. Yet Foxx was optimistic about our ability to bring these transportation issues together and solve problems. Foxx noted, “Waze knows more about transportation activity than I ever knew as Transportation Secretary.”

Foxx noted that transportation is not just a transportation problem. Transportation plays a key role in building communities, should be people-centric, and impacts community health. Transportation solutions should strive to build better communities, not just expand transportation infrastructure. He discussed the smart city initiative as an avenue to incentive cities to develop plans that integrate transportation plans with other objectives.

General Michael Hayden’s talk focused on guiding policy decisions in a post truth world. Intelligence is centered on making fact-based decisions and in collecting facts and expert judgement that are consistent with the facts. We increasingly live in a post-truth world, where decisions are made on feeling, emotion, loyalty, tribe and identify. These factors increasingly inform our truth, not the facts.

General Hayden’s talk was fascinating and philosophical at times. He mentioned Oxford Dictionary’s word of the year (post-truth) and discussed how the Enlightenment philosophy based on truth, data, hypotheses, and validation inspired our founding fathers. He discussed the flow of information and ideas as a system with reinforcement, cycles, and feedback loops. He views information flow as a structured system. He noted that intelligence is pessimistic and policy is optimistic. I wholeheartedly agree with the latter; I even wrote a blog post about it.

Hayden ended his talk with advice on how to work with decision makers. As NSA director, he worked with many decision-makers who were not in his field and not always enthusiastic about the facts and analysis he brought to the table. He found it helpful to use intelligence as a way to bound the possible policy decisions. By putting a box around the set of feasible policy decisions, he could help rule out bad and disastrous decisions from consideration. This also helped the decision-maker (often, a President) feel like the one in charge with input from an intelligence expert, which was helpful in facilitating productive conversations.

The three panels focused on transportation, national security, and healthcare. The INFORMS member experts and moderators were outstanding!

Healthcare

Jim Bagian, University of Michigan

Sommer Gentry, U.S. Naval Academy

Eva Lee, Georgia Tech

Julie Swann, N.C. State

Moderator: Don Kleinmuntz

 

Transportation

Saif Benjaafar, University of Minnesota

Pooja Dewan, BNSF

Peter Frazier, Cornell University & Uber

Steve Sashihara, Princeton Consultants

Moderator: José Holguín-Veras, Rensselaer Polytechnic Institute

 

National Security

David Alderson, Naval Postgraduate School

Natalie Scala, Towson University

Harrison Schramm, CAP, Center for Strategic and Budgetary Analysis

Moderator: Col. Greg Parlier (Ret.)

 

As chair, I would like to mention that we were fortunate to have many nominations and would have liked to have more opportunities to participate in the Summit. Moving forward there will be other opportunities to support INFORMS’ advocacy activities. We look forward to the chance to involve even more members as we work to help make sure policymakers in Washington better understand and appreciate how they can leverage O.R. and Analytics to help save lives, save money and solve problems.

I want to thank the INFORMS Staff and especially Jeff Cohen for making the INFORMS Government & Analytics Summit a reality.

 

IMG_4946


Translating engineering and operations analyses into effective policy

I am presenting at the AAAS Annual meeting in a session entitled “Translating Engineering and Operations Analyses into Effective Homeland Security Policy” with Sheldon Jacobson and Gerald Brown:

In my talk, I will discuss three research questions I have advanced:

  1. How can we more effectively perform risk based security?
  2. What is the optimal way to allocate vehicles to emergency calls for service?
  3. What is the optimal way to protect critical information technology infrastructure?

My slides are below.

Related posts and further reading:

If you have any questions, please contact me!


what I learned from preparing for a semi-plenary talk

I recently blogged about a semi-plenary talk I gave at the German OR Society Conference. This post is about the process of preparing for that presentation.

First I thought about the story I wanted to tell. I’ve given a lot of research talks before. I understand the general plot of a research talk, but a semi-plenary was not a regular research talk. I wasn’t initially sure how to tell a story in a new way. I asked a wise colleague for advice, which was excellent:

  1. Think about your favorite plenary talks. Model your talk after that (including the amount of math to include in the talk).
  2. Think of the talk as a series of 30 second elevator talks. Let those messages structure your story.
  3. Your audience will want to feel that they’ve learned something. What are the takeaways?

I found that creating an initial set of slides wasn’t so bad once I decided in the story I wanted to tell. I have given so many talks before that I had a huge set of slides that I could pull from. I had too many slides and could not fit into the time slot, and editing and pruning my slides was pure torture.

A few months ago, I read a post by an academic blogger who had recently given a plenary talk. I can’t find the post now but I remember that it took about 40 hours to create a one hour talk. This reminded me of an earlier post on teaching MOOCs (How college is like choosing between going to the movies and Netflix), where an enormous amount of time goes into a single lecture.

Here is why it took so long. I noticed that every time I removed a slide or combined a few slides into a single slide, it affected the story narrative in a major way. In a regular research talk, I find it easy to pick a few details to leave out. Not the case this time. Rather than condense the story, I eventually left some topics out all together or turned the insights from a  paper into a couple of bullet points on a slide. Finding the right balance of detail and insight was a constant challenge.

I ended up having almost no math in my talk. I decided that insights were more important that going through technical details.

I recreated almost all of the visuals from my slides in previous talk. It’s not that my visuals were total crap, it’s just that there was just too much detail and notation in previous figures I made for research talks. I didn’t want confusing visuals getting in the way of the story. Sometimes I added a picture to illustrate an idea or insight that was technical in nature rather than launching into a long narrative to explain a simple point. Here is an example of a new visual explaining the concept of ambulance response times and coverage:

Example of a conceptual slide I used in my talk.

Example of a conceptual slide I used in my talk.

Other times i just needed to make a simpler version of a figure or table that allowed me to look at a single curve or to compare two things, instead of a busier figure that works in a regular research talk. At one point, I changed a figure with four subfigures into a single figure by omitting the other three subfigures. I make nearly all of my figures with Matlab and save my code so that I can easily recreate figures for presentations or paper revisions. Remaking figures wasn’t too taxing, but remaking a lot of figures took some time.

Finally, I learned so much about my research when giving this talk. The end my my talk answered two questions:

  1. Where is emergency medical service research in OR going?
  2. Where does emergency medical service research in OR need to go?

I think about high level issues all the time (after all, I frequently write proposals!). But this was different: I was talking about places where this entire line of research is going, not just mine. When I was answering the question “Where does emergency medical service research in OR need to go?” when making my slides, I learned that my research had already made progress in the right direction. Not all of my ideas are in line with the where this line of research needs to go, and it was worthwhile to realign my priorities.

 

Related posts:

  1. Do you have a 30 second elevator talk about your research?
  2. The most important 30 seconds of your dissertation defense

 


are you a student attending #Analytics2013, please consider the WORMS scholarship

A professional colloquium (the IPC)for OR grad students will be held in San Antonio on April 7, during the INFORMS Business Analytics and Operations Research Conference. This is a great opportunity for grad students interested in industry. If you are interested, please check out the IPC web site [Link] for the application process. The deadline is March 1.

The Analytics conference is pricey. Some financial aid is available. See the website for details.

I’m happy to say that WORMS will be sponsoring a student:

Women in OR/MS (WORMS) will sponsor a student to attend the Industry Professional Colloquium (IPC) at the INFORMS Business Analytics and Operations Research Conference in San Antonio April 7-9, 2013, geared at students interested in a career in industry.  This includes registration to the INFORMS Business Analytics and Operations Research Conference and a year membership to WORMS for a candidate selected for the WORMS Analytics Scholarship Award.  For details on submitting a nomination to attend the IPC and to be considered for the award, see     http://meetings2.informs.org/analytics2013/profcolloquium.html


land O links: #informs2012 edition

Here are a few miscellaneous links from the 2012 INFORMS Annual Meeting.

  • Mike Trick writes about Al  Roth and Lloyd Shapley, winners of the 2012 Nobel Prize in Economics. Both are well-known in OR/MS circles and have strong ties with INFORMS. Mike notes that this may be the closest we’ve gotten to an OR Nobel. Congrats Roth and Shapley!
  • INFORMS has a video channel that is full of short videos, some of which are from the conference. Here is one about the INFORMS members who received the Nobel Prize:

  • In case you missed it, I urged attendees to register for the communities that interest them when they register for INFORMS. If a community represents an area that is near and dear to your heart, the best way to support them is to be a member. Strength in numbers matters: larger communities carry more weight with INFORMS.
  • @ORNinja had the best tweet of the conference. Nathan Brixius elaborates on this tweet.
  • Tallys Yunes has nice posts about Monday and Tuesday at the conference
  • Tallys made a video about the Annual Meeting before the conference. If you haven’t seen it–or if it didn’t make sense prior to the conference–watch it below: