Howard University Awards

  1. Project Name: Irregular Warfare Decision Assist for Determining Threat
    Awarding Agency:
    US Army Command, Control, Communication, Computers, Cyber, Intelligence, Surveillance, and Reconnaissance Center
    Project Summary:
    Irregular warfare (IW) campaigns depend on not just military prowess but also understanding of such social dynamics as tribal politics, social networks, religious influences, and cultural moves. However, to wage IW successfully in a region, understanding the local social dynamics and the local people alone is not enough, because the warfare fronts have no borders and, in the globally connected world, one seemingly irrelevant event in a remote place would swiftly change the local social dynamics and the peoples’ behavior. Therefore, collection of diverse data and fusing them to decision-making for local and designated issues would become more important in battle space awareness.
    Outcome:

    This project developed an entropy principled machine reasoning system on web-server to determine and predict threats for IW in the global context by combining the data of all available sources of diverse ethnic, cultural, religious, and geographical contexts.  This final report describes theoretical establishment and practical implementation of a web-server based machine reasoning system built on entropy minimum and maximum principles for dominant variable extraction and rule derivation using them.
  2. Project Name: Advancing Representation of Students Attending Minority Serving Institutions in the Homeland Security Enterprise through Research and Development
    Awarding Agency:
    Department of Homeland Security
    Project Summary:
    At the request of the Department of Homeland Security Science & Technology Directorate’s Office of University Programs, our team and our combined resources, networks, and infrastructure will embark upon a data-driven research journey to explore pathways, inherent barriers, and best practices that will lead to increased engagement of MSIs, students, and research innovations to advance Homeland Security’s mission to ensure a safe homeland for its citizens and prosperous way of life. The premise of the research study will focus on two encompassing areas of interest to the Department of Homeland Security Office of University Programs: Workforce Development and Research Development efforts that increase the quantity and quality of MSI STEM graduates.
    Outcome:
    The Department of Homeland Security's aims to diversity the workforce is in fields requiring STEM knowledge and skills.  The required workforce development research skills and experiential learning needed to effectively enter the homeland security workforce by a) examining best practices for experiential learning in the public and private sector, b) identifying how government can improve existing programs and accurately target MSI STEM students, c) how government can best utilize its funding, d) understanding the most cost-effective ways to identify, track, and monitor target groups, e) how the new data can facilitate scalability of the programs, f) how the government can partner with private and public partners, and g) identify ways to improve the return on investment (ROI) through grants and other development programs.