January 31, 2018

Collaborate - Innovate - Communicate

2018 has been a time of exciting program growth for the Biocomplexity Institute of Virginia Tech. The Research Showcase is the product of timely and relevant research lead by the institute's interdisciplinary researchers, and represents the diverse and far-reaching impact of our research portfolio.

Overview: Research Showcase

The Biocomplexity Institute regularly conducts research through federal, state, and industry grants and contracts. Notably, this Research Showcase will highlight the institute's portfolio of research programs that has received more than $103M in new awards in the first half of FY 2018.

The research awards will be showcased with a poster session and reception.

Location, Time & Date

  • Wednesday, January 31, 2018
    4:00 PM - 6:00 PM

    The Inn at Virginia Tech and Skelton Conference Center
    Latham Ballroom BC
    See map: Google Maps

    Please RSVP by January 26, 2018

Awards: Research & Sponsors

Awards received by the Biocomplexity Institute of Virginia Tech in the first half of FY18 include:

  • Comprehensive National Incident Management System (CNIMS) (Task 1 & 2)
  • The Social Component of the Human Dimension: Leveraging Existing DoD Data Toward Optimized Individual and Team Performance in the Army
  • Integrative Genomics Approach to Computational Assessment of Threats (IGACAT)
  • The Dynamics of Common Knowledge on Social Networks: An Experimental Approach (Minerva)
  • Graphing Observables from Realistic Distributions In Abstruse Networks (GORDIAN)
  • EpiCaster Flu Prediction Index for Advertisement Triggering
  • Homo SocioNeticus: Scaling the Cognitive Foundations of Online Social Behavior
  • Network-Centric Computing for Global System Science
  • Alternative Preclinical Models of Enteric Pathogens
  • Building Capacity for End-to-End Statistical Analysis of Virginia's Emergency Medical Services Data
  • Computational Modeling of Immune Responses to Clostridium Difficile Infection for Predicting Therapeutic Efficacy
  • Accelerating HEP Science: Inference and Machine Learning at Extreme Scales
  • Ensembles of ICI networks and associated social interactions
  • Leveraging Local Data Sources to Build a Comprehensive Community-Based Understanding of Complex National Health Problems
  • Coupled Social and Infrastructure Approaches for Enhancing Solar Energy Adoption


* Recommended for funding

Back to top