Microsoft Research

6:30 ΓÇô 6:50 PM Scott Vanstone Award Lecture Session Chair: Neil Koblitz 6:50 ΓÇô 9:00 PM Rump Session Session Chair: Daniel J. Bernstein

Panel: Challenges of Data Standards and Tools Deb Agarwal, LBNL/UCB; Bill Howe, University of Washington; Alex James, Microsoft; Yong Liu, National Center for Supercomputing Applications, University

Proteome-Scale Protein Isoform Characterization with High Performance Computing Jake Chen, Indiana University Answering Biological Questions by Querying k-Mer Databases Paul Greenfield, CSIRO

Scientific Data Sharing and Archiving at UC3/CDL: the Excel Add-in Project and More John Kunze, California Digital Library/California Curation Center; Tricia Cruse, California Digital

musicSpace: Improving Access to Musicological Data mc schraefel, University of Southampton Quantifying Historical Geographic Knowledge from Digital Maps Tenzing Shaw, National Center for

As described in the book, The Fourth Paradigm: Data-Intensive Scientific Discovery, scientific breakthroughs will be increasingly powered by advanced computing capabilities that help researchers

Enhancing the Quality and Trust of Citizen Science Data Jane Hunter, The University of Queensland Scientist-Computer Interfaces for Data-Intensive Science Cecilia Aragon, Lawrence Berkeley National

Genome-Wide Association of ALS in Finland Bryan Traynor, National Institute on Aging, National Institutes of Health A Framework for Large-Scale Modelling of Population Health John Ainsworth

The Microsoft .NET Framework 4 and Visual Studio 2010 include new technologies for expressing, debugging, and tuning parallelism in managed applications.

Microsoft External Research strongly supports the process of research and its role in the innovation ecosystem, including developing and supporting efforts in open access, open tools, open

GRAS Support Network, Its Implementation, Operation, and Use Fritz Wollenweber, EUMETSAT Data Intensive Frameworks for Astronomy Jeffrey Gardner, University of Washington

Scaling Information on ΓÇÿBiosphere BreathingΓÇÖ from Chloroplast to the Globe Dennis Baldocchi, University of California-Berkeley Agrodatamine: Integrating Analysis of Climate Time Series and

Correction for Hidden Confounders in Genetic Analyses Jennifer Listgarten, Microsoft Research BioPatML.NET and Its Pattern Editor: Moving into the Next Era of Biology Software James Hogan

Medici: A Scalable Multimedia Environment for Research Joe Futrelle, National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign BlogMyData: A Virtual Research

Data, Data, Everywhere, nor Any Drop to Drink: New Approaches to Finding Events of Interest in High Bandwidth Data Streams Mark Abbott, Oregon State University Extreme Database-centric Computing in

SQL is Dead; Long Live SQL: Lightweight Query Services for Ad Hoc Research Data Bill Howe, University of Washington SinBiota 2.0 – Planning a New Generation Environmental Information System João

OpenSource & Microsoft: Beyond Interoperability Sam Ramji, Apigee Microsoft's open source strategy has shifted over the years, from ignore to fight to interoperate.

The Microsoft Biology Initiative (MBI) is an effort in Microsoft Research to bring new technology and tools to the area of bioinformatics and biology.

Jim Gray eScience Award Presentation This year, Microsoft Research presents the Jim Gray eScience Award to a researcher who has made an outstanding contribution to the field of data-intensive

Remote Computed Tomography Reconstruction Service on GPU-Equipped Computer Clusters Running Microsoft HPC Server 2008 Timur Gureyev, Commonwealth Scientific and Industrial Research Organisation

MyExperimentalScience, Extending the ΓÇ£Work?owΓÇ¥ Jeremy Frey, University of Southampton The Conversion Software Registry Michal Ondrejcek, National Center for Supercomputing Applications

oreChem: Planning and Enacting Chemistry on the Semantic Web Mark Borkum, University of Southampton Accelerating Chemical Property Prediction with Cloud Computing Hugo Hiden, Newcastle University

Model-Driven Cloud Services for Cancer Research Marty Humphrey, University of Virginia Cloud-Based Map-Reduce Architecture for Nuclear Magnetic Resonance-Based Metabolomics Paul Anderson, Wright

The Reaming of Life Philip Bourne, University of California, San Diego Anyone can punch a hole in a piece of metal, but a reamer is needed to accurately size and finish that hole.

Analyzing the Process of Knowledge Dynamics in Sustainability Innovation: Towards a Data-Intensive Approach to Sustainability Science Masaru Yarime, University of Tokyo Data-Intensive Science for

Achieving an Ecosystem Based Approach to Planning in the Puget Sound Stephen Stanley, Washington Department of Ecology Adapting Environmental Science Methods to Public Policy and Decision Support

UK e-Science: a Jewel or a Thousand Flowers Malcolm Atkinson, e-Science Institute The global digital revolution provides a fertile and turbulent ecological environment in which e-Science is a small

The last decade has seen a growing number of connections between statistical physics phase transitions and the theory of computation.

StepsΓÇöArt Center College of Design, Los Angeles, CA Kevin Kwok, Wayne Tang, Rachel Thai, Winnie Yuen GURUΓÇöCarnegie Mellon University, Pittsburgh, PA Aliya Baptista, Sarah Calandro, Stephanie

BLAST Atlas: A Function-Based Multiple Genome Browser Lawrence Buckingham, Queensland University of Technology DIVE: A Data Intensive Visualization Engine Dennis Bromley, University of Washington