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Computing in the Life SciencesComputing in the Life Sciences
Simon MercerProgram ManagerExternal Research & ProgramsMicrosoft Research
Simon MercerProgram ManagerExternal Research & ProgramsMicrosoft Research
“It would appear that we have reached the limits of what is possible to achieve with computer technology, although one should be careful with such statements, as they tend to sound pretty silly in five years.”
John von Neumann, 1949
The future can take even very smart people by surpriseThe future can take even very smart people by surprise
Basic Research Agility Basic Research Agility
Basic research group allows a company like Microsoft to respond more rapidly to change
Research provides a reservoir of technology, expertise and people that can be quickly brought to bear:
New technologies
New competitors
New business models
Basic research group allows a company like Microsoft to respond more rapidly to change
Research provides a reservoir of technology, expertise and people that can be quickly brought to bear:
New technologies
New competitors
New business models
Augmenting In-House ResearchAugmenting In-House Research
In-House ResearchCentral to Company InterestsComplete IP ownershipExpensive
External ResearchCloser to an “Open Innovation” modelCan explore long term goals and those peripheral to the current businessRisk profile can be higher – Failure is an Option
In-House ResearchCentral to Company InterestsComplete IP ownershipExpensive
External ResearchCloser to an “Open Innovation” modelCan explore long term goals and those peripheral to the current businessRisk profile can be higher – Failure is an Option
Henry Chesbrough - Open Innovation: The New Imperative for Creating and Profiting from Technology , Harvard Business School Press, 2003
“There are things that other people get to before us. We avoid that a lot by working well with the universities. We have way bigger university outreach program than any company and that's worldwide, universities in Europe, India, China.
The US universities are where we get the most out of that, but we want to make sure we're doing it everywhere.”
– Bill Gates, Time Magazine interview, March 2006
Collaboration ModelCollaboration Model
CentersInstitutesCentersInstitutes
ProjectsProjects
Workshops & RFPsWorkshops & RFPs Explore Ideas
Validate Directions
Accelerate Research
Supporting Programs – Faculty Summit, Ph.D. fellowships, New Faculty Awards,
Ecosystem engagements
Supporting Programs – Faculty Summit, Ph.D. fellowships, New Faculty Awards,
Ecosystem engagements
ActivitiesActivities
eScience Workshops 2004/560+ speakers
120+ attendees
Seven countries represented
eScience Workshop 2006 (TBC)
eResearch Institute at Queensland University of Technology (TBC)
eScience Workshops 2004/560+ speakers
120+ attendees
Seven countries represented
eScience Workshop 2006 (TBC)
eResearch Institute at Queensland University of Technology (TBC)
ProjectsProjects
37 projects in 9 countries
Bioinformatics
Smart Clients for eSciencesWorkbenches that handle scientific data acquisition, management, integration, access, and visualization
Web services that unlock valuable data sets
37 projects in 9 countries
Bioinformatics
Smart Clients for eSciencesWorkbenches that handle scientific data acquisition, management, integration, access, and visualization
Web services that unlock valuable data sets
Computational ScienceComputational Science
Rakesh Nagarajan
Washington University
Siteman Cancer Center
Function Express Gold: A Function Express Gold: A caBIG Grid-aware Microarray caBIG Grid-aware Microarray Analysis ApplicationAnalysis Application
The cancer Biomedical Informatics Grid (caBIG) develops applications to facilitate individual steps involved in microarray analysis, but there is no single application that leverages these tools in a user-friendly graphical interface. We will develop a grid-aware microarray analysis application producing results which may be visualized using a rich set of viewers such as literature-based gene networks, pathways browsers, graphs, and heat maps. This tool will serve as a powerful means to identify previously underappreciated pathways for potential new targeted therapeutics.
Computational ScienceComputational Science
May Wang
Georgia Institute of Technology
The Wallace H. Coulter Department of Biomedical Engineering
Advanced Biomedical Advanced Biomedical Computing Systems for Computing Systems for Cancer ResearchCancer Research
In collaboration with Winship Cancer Institute, the group is developing a computation-based cancer research system. The system consists of databases, cluster-based computing, and immersive visualization. With this system, they will be able to integrate large amounts of genomic, proteomic, and molecular/organ imaging data obtained from cultured cancer cells, clinical tissue specimens, and solid tumors to analyze and guide clinical cancer research.
Computational ScienceComputational Science
Furrukh Khan
The Ohio State University
OR-EyeOR-Eye
A secure, reliable, and scalable A secure, reliable, and scalable distributed application that enables distributed application that enables remote remote reviewing of the OR component reviewing of the OR component of the pre-recorded of the pre-recorded electronic electronic anesthesia record anesthesia record from any location from any location where access to the Intranet/Internet is where access to the Intranet/Internet is available.available.
OR-Eye is now a fully developed, OR-Eye is now a fully developed, tested, and piloted product.tested, and piloted product.
OR-Eye2 is designed to completely OR-Eye2 is designed to completely replace the paper based anesthesia replace the paper based anesthesia record with an electronic version.record with an electronic version.
Computational ScienceComputational Science
Keyuan Jiang
Purdue University, Calumet
Information Systems and Computer Programming
The Gateway to Biological The Gateway to Biological PathwaysPathways
Developing a Web application called “The Gateway to Biological Pathways” to aggregate and unify the existing pathway databases and provide Web services for querying the aggregated datasets based upon the open standard for pathway data interchange BioPAX Level 1.
Computational ScienceComputational Science
Beth Plale
Indiana University at Bloomington
Computer Science
Web Service Access to Web Service Access to Streaming NEXRAD Level II Streaming NEXRAD Level II Radar DataRadar Data
Linked Environments for Atmospheric Discovery (LEAD), an NSF funded large scale cyberinfrastructure for severe storm forecasting, aims to improve access through a grid service architecture to enable access to data products, services, and processes for the severe storm researcher and educator.
Computational ScienceComputational Science
Tanya Berger-Wolf
University of Illinois at Chicago
Electrical Engineering and Computer Science
Computational Tools for Computational Tools for Population BiologyPopulation Biology
An intrinsic characteristic of societies is their continual change, yet few analysis methods are explicitly dynamic. Our goal is to develop a novel conceptual and computational framework to accurately describe the social context of an individual at time scales matching changes in individual and group activity. Finding patterns of social interaction within a population has applications from epidemiology and marketing to conservation biology and behavioral ecology.
Computational ScienceComputational Science
Benjamin Bederson Aaron Clamage
University of Maryland
Human-Computer Interaction Lab
Piccolo.NET Piccolo.NET
General purpose toolkit, useful for Information Visualization studies, Zooming User Interfaces, and other dynamic UI projects. Fully-accelerated through managed DirectX 9. For Mobile Devices, developers can use PocketPiccolo.NET, built on the .NET Compact Framework.
Computational ScienceComputational Science
Greg Quinn
University of California at San Diego
San Diego Supercomputer Center (SDSC)
Notebook ProjectNotebook Project
The Notebook application is a client-side data repository, collaboration environment, and smart client for SOAP-based Web services. The application is designed to store data from Internet Web sessions and also enables researchers to annotate data locally.
Computational ScienceComputational Science
Jason Kelly
Massachusetts Institute of Technology
Biological Engineering
iCampus: OpenWetWareiCampus: OpenWetWare
OpenWetWare (http://openwetware.org) is an effort to promote the sharing of information, know-how, and ideas among researchers and groups who are working in biology, biological engineering, and related disciplines. By providing a user-friendly editing interface (a wiki), the site provides a place for researchers to organize information and to collaborate with other community members. As of May, 2006, more than 50 academic labs from 25 institutions have joined the OpenWetWare community.
Synthetic Biology RFPSynthetic Biology RFP
“Design and fabrication of biological components and systems that do not already exist in the natural world”
“Re-design and fabrication of existing biological systems”
www.syntheticbiology.org
Synthetic Biology offers:
Great potential
Fertile collaboration
“Design and fabrication of biological components and systems that do not already exist in the natural world”
“Re-design and fabrication of existing biological systems”
www.syntheticbiology.org
Synthetic Biology offers:
Great potential
Fertile collaboration
© 2006 Microsoft Corporation. All rights reserved.Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation.Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft,and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation.MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.