The Lariat Networking Project Building connections in the
The Lariat Networking Project Building connections in the rural West Gwen Jacobs Montana State University APAN Cairns, AU Julya 6, 2004
IDe. ANet: leveling the playing field for “have-not” states • NIH/NCRR supported program to upgrade networking capabilities in 23 “have-not” states in the US • Part of the NIH IDe. A Program – Includes BRIN, COBRE, INBRE – Similar to NSF EPSCo. R program • Build networks: personal and physical • Lariat is the first piece: 6 institutions in rural states – – – University of Alaska, Fairbanks University of Idaho University of Hawaii Montana State University of Nevada -Reno University of Wyoming
Participants • Montana State U. and University of Washington – Gwen Jacobs, Montana State University – Ron Johnson, Vice-Provost, Computing and Communications and Vice-President, UW – Jacqueline Brown and Louis Fox, University of Washington • Pacific Northwest Gigapop, CENIC, Front Range Gigapop • BRIN (INBRE)/COBRE faculty in all six states • BRIN Universities/Tribal colleges/ four year schools
Goals of the Lariat Network • Build two networks: – Upgrade internet connectivity in 6 rural states – Enhance and enable scientists and educators within the BRIN/INBRE network • • Provide training and expertise Provide access to research resources Strengthen partnerships with other institutions Support the goals of IDe. A, BRIN, INBRE and WWAMI
LARIAT’S CHALLANGING GEOGRAPHY& ECONOMY
Lariat will improve connectivity to research and education networks PNWGP U. Alaska U. Idaho Montana State U U. Nevada Reno CENIC U. Hawaii U. Wyoming FRGP
Improved connectivity will enable participation in national initiatives
E-science for the individual scientist • Remote access to research resources – Microscopes, telescopes, synchrotons – Data repositories, databases, storage • Group collaboration tools – Real time videoconferencing – Real time collaborative experiments • Biomedical research – – Genomics, proteomics, physiomics Neuroscience, bioengineering, bioinformatics Information science/resources Public health/environmental epidemiology
Modeling structure function relationships in the nervous system
Development of modeling tools We have developed a software package (XMode. L) for representing and evaluating complex hybrid models. Key features: • Describe and store models, data, and experiment protocols in portable XML • GUI design, editing, and visualization tools • Import/export data in many formats • Numerical simulation using Matlab, Python, and Neuron. Easy modular expansion of numerical tools. • Analysis, optimization, and parameter search tools. • Distributed computation Data from Graham Cummins
Access to remote resources
Predicting spatial distribution of synaptic inputs: simulations done remotely at NASA Ames
E-science collaborations
BIRN: An example of biomedical e-science
Research in extreme environments:
Regional public health issues
Unique to Montana
Information dissemination: lariat-west. org
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