Data Science and Artificial Intelligence

Established: Fall 2018

Meeting Frequency: Monthly

Symposium Ties: 

Working Group 29: Computational Advances in Operations Research

Working Group 34: Data Science and Analytics
Working Group 35: AI and Autonomous Systems
Distributed Working Group 3: Emerging Operations Research 

Special Meeting Ties:

Emerging Techniques Forum
Artificial Intelligence and Autonomy

Leadership:

CoP Lead: Dr. Nathaniel D. Bastian; nathaniel.bastian@fulbrightmail.org

CoP Co-Lead: Mr. Dave Saranchak; dave.saranchak@gmail.com

Overview: Data science and artificial intelligence (DS&AI) is a rapidly growing area within the operations research, computer science, statistics, applied mathematics, systems engineering and other analytical disciplines that impact the national security, intelligence and homeland defense communities. As a data-focused and decision-driven field, DS&AI enables descriptive, diagnostic, predictive and prescriptive analytics and intelligent decision-support, including autonomous systems. Recently, the DS&AI area has been energized by technological advances that have led to new methods that are both highly available, low-cost and extremely scalable.

Objective: Connect DS&AI practitioners, researchers, academics and leaders across the national and homeland security community with a common goal of sharing best practices and leveraging the unique tools, techniques and technologies of the field.

The DS&AI CoP is chartered to achieve the following:

  1. Provide a forum for communication and collaboration of DS&AI-related issues, tools, methodologies, etc. within the MORS Community.
  2. Meet at least annually during the MORS Annual Symposium, as well as at least monthly throughout the year.
  3. Maintain an interface with the DS&AI-related operations research analysis activities throughout the MORS Community to facilitate quick response collaboration.
  4. Share DS&AI-related topics, best practices, insights, and lessons learned.
  5. Maintain a website identifying and summarizing the DS&AI-related operations research analysis capabilities and activities within the MORS Community.