Analytics Lab at OU

Analytics Lab at OU Data Science and Analytics research lab in the School of Industrial and Systems Engineering at the U

The analytics lab at the University of Oklahoma is a located in the School of Industrial Engineering and is actively pursuing research in various aspects of data science and analytics:

-Complex resilient network systems
-Novel predictive and classification modeling approaches and applications
-Applied metaheuristics

The current primary thrust of the lab is in the domain of “community resilience”

in which all three research areas complement each other synergistically. In particular, we are focused on investigating approaches to help communities (e.g., cities, towns) withstand and recover rapidly from disasters. We have partnered with a variety of experts from Civil Engineering, Economics, Social Science, and Computer Science to study and quantify how disruptions in the complex interdependent infrastructure systems that underpin modern society impact economic measures and social norms. We are developing new mathematical models to capture the many levels of complexities in the system; we are studying how “big data” can help inform emergency response and recovery efforts; and working towards novel machine learning methods and applications to support resilience in general.

Way to go ISE and DSA grads!!
05/13/2023

Way to go ISE and DSA grads!!

Might be worth your time to check out!
05/12/2020

Might be worth your time to check out!

Here is an overview of another great natural language processing resource, this time from Microsoft, which demonstrates best practices and implementation guidelines for a variety of tasks and scenarios.

04/14/2020

Just won a small grant to support COVID-19 machine learning modeling research over the next few months!

12/31/2019

I hope everyone has a fun, safe New Year celebration and an amazing 2020!

Great article!“For most practitioners of analytics, our aptitude and training is about numbers, equations and software –...
12/08/2019

Great article!

“For most practitioners of analytics, our aptitude and training is about numbers, equations and software – the hard skills. Not to put too fine a point on it, many of us identify as “geeks.” Few of us start out with substantial soft skills, the emotional intelligence to effectively engage with our clients – how to ask probing questions in a nonthreatening way, listen effectively, observe tacit body language, get inside the heads of our clients and learn how their organizations work. In short, we need to become “empaths.”

Fortunately for us geeks, it is possible to learn these soft skills once we realize how critical they are to our success and decide to put the effort. We can learn some of them from classes. They should become a much larger part of the analytics curriculum. But, to become truly effective, there is no substitute for working with clients on real projects being mentored by experienced practitioners.”

Want to make sure your data science projects succeed? Read this piece in ORMS Today for a road-map to best practice client engagement. http://bit.ly/2DTg15a

11/13/2019

This position will support on-going efforts within the NIST-funded Center of Excellence for Risk-Based Community Resilience Planning and will join a large, vibrant team of interdisciplinary researchers from Civil Engineering, Systems Engineering, Economics, and Social Science from multiple Universities across the United States to enhance community resilience to natural hazards through modeling, optimization, and risk-informed decision making with respect to vital, large-scale, interdependent civil infrastructure and socio-economic systems.

More details: oklahomaanalytics.com/recruiting/postdoc-community-resilience

For all DSA students -- and those interested in data science, if you have not yet registered for the AI/ML Symposium at ...
09/12/2019

For all DSA students -- and those interested in data science, if you have not yet registered for the AI/ML Symposium at OU, make sure to do so --- AND ESPECIALLY make sure to register for the Predict-a-thon.

Dataiku is providing a tutorial on their analytics tools and helping to host the challenge. Form teams and get signed up!

http://ou.edu/coe/ai-ml/program/predict-a-thon

Tentative Schedule:
Sept. 25, 4-7pm: Dataiku Tutorial
Sept. 25, 7-8pm: Competition Presentation
Sept. 26, 12:01am: Competition Pause
Sept. 26, 5:30pm: Competition Continues
Sept. 26, 9pm: Competition Completion

New post from the analyticsLab@OU: New Ph.D. student on the team
08/21/2019

New post from the analyticsLab@OU:

New Ph.D. student on the team

Analytics Lab news -- a research lab at the University of Oklahoma

New post from the analyticsLab@OU: Welcome to Fall 2019!
08/16/2019

New post from the analyticsLab@OU:

Welcome to Fall 2019!

Analytics Lab news -- a research lab at the University of Oklahoma

06/10/2019

This article explains 15 types of regression techniques which are used for various data problems. It includes detailed theoretical and practical explanation of regression along with R code

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73019

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