Congratulations to Yong Wan and Charles Hansen, et al on their winning submission to this year's FASEB BioArt Competition!

Congratulations to Miriah Meyer, who has been named amongst the top 100 most creative people in business by Fast Company. This honor places her in a rather esteemed and widespread group of individuals ranging from Fortune 500 leaders to music mogals.

Utah-Led Group Gets $15M from Army to Design New Materials

May 7, 2012 – U.S. soldiers are increasingly weighed down by batteries to power weapons, detection devices and communications equipment. So the Army Research Laboratory has awarded a University of Utah-led consortium almost $15 million to use computer simulations to help design materials for lighter-weight, energy efficient devices and batteries.

The MRL Software development team is excited to announce the arrival of version 1.5 of FEBio (Finite Elements for Biomechanics).

Download FEBio 1.5

by Yarden Livnat, Theresa-Marie Rhyne, and Matthew H. Samore

Early detection and rapid response to infectious-disease outbreaks rely on effective decision making based on information from disparate sources. To improve decision-making in outbreak detection and response, it's important to understand how public health practitioners seek relevant information. Epinome, a user-centric visual-analytics system, supports research on decision-making in public health, particularly evaluation of information search strategies. Epinome facilitates investigation of scripted high-fidelity large-scale simulated disease outbreaks. Its dynamic environment seamlessly evolves and adapts as the user's tasks and focus change. This video shows how the Epinome system facilitates interactive simulations of disease outbreaks.

Read Full Article (pdf)

Y. Livnat, T.-M. Rhyne, M. Samore. "Epinome: A Visual-Analytics Workbench for Epidemiology Data," In IEEE Computer Graphics and Applications, Vol. 32, No. 2, pp. 89--95. 2012.
ISSN: 0272-1716
DOI: 10.1109/MCG.2012.31

March 30, 2012 - Energy Secretary Steven Chu announced a $25 million five-year initiative to help scientists better extract insights from today’s increasingly massive research datasets, the Scalable Data Management, Analysis, and Visualization (SDAV) Institute. SDAV will be funded through DOE’s Scientific Discovery through Advanced Computing (SciDAC) program and led by Arie Shoshani of Lawrence Berkeley National Laboratory (Berkeley Lab).