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Biological Data Science
November 5 - 8, 2014
Abstract Deadline: September 7, 2014

Organizers:
Anne Carpenter, Broad Institute
Michael Schatz, Cold Spring Harbor Laboratory
Matt Wood, Amazon Web Services

Keynote Speaker:
David Haussler, University of California Santa Cruz


Master Lecturer on Homomorphic Encryption:
Kristin Lauter, Microsoft Research

We are pleased to announce a new meeting on Biological Data Science, which will begin on Wednesday, November 5th at 7:30 p.m. and conclude with lunch on Saturday, November 8th. The scope of this new CSHL meeting will be the infrastructure, software, and algorithms needed to analyze large data sets in biological research. We welcome abstracts from researchers in both academia and industry who work on technical aspects of the discussion topics in all areas of biology, from genomics to imaging. We also welcome abstracts from translational and clinical researchers who regularly mine large data sets as part of their projects. The goal is to assemble a multidisciplinary audience that will discuss best practices, identify challenges, and highlight successes in the analysis of large biological data sets.

Discussion topics:

  • Data Infrastructure: storage, access, databases, and data standards
  • Compute Infrastructure: processors, clouds, and workflows
  • Scalable Algorithmics: searching, streaming, and randomized or parallel algorithms
  • Mining Biological Data: machine learning, statistics, normalization, modeling, inference, and visualization
  • Software for Biologists: creating, disseminating, training, and funding such software
  • Knowledge Extraction: application areas and data integration
  • Sociology: legal, privacy, and ethical issues, as well as technologies for human data
Discussion leaders:
  • Deanna Church, Personalis
  • Matt Massie, University of California Berkeley AMPLab
  • Olga Troyanskaya, Princeton University
  • Rick Stevens, Argonne National Laboratory and the University of Chicago
  • James Taylor, Johns Hopkins University
  • Mauricio Carneiro, Broad Institute
  • Ben Langmead, Johns Hopkins University
  • Ronald Margolis, National Institutes of Health Big Data to Knowledge (NIH BD2K)
  • Jason Williams, Cold Spring Harbor Laboratory and the iPlant Collaborative
  • Mark Gerstein, Yale University
  • Eric Perakslis, Harvard Medical School
Abstracts are welcome for consideration as poster and platform presentations and should contain new and unpublished material. Status of abstracts (talk versus poster) will be posted on our Web site as soon as decisions have been made by the organizers.

We are eager to have as many young scientists as possible attend since they are likely to benefit most from this meeting. We will be applying for funds from government and industry to partially support graduate students and postdoctoral fellows. Please apply in writing to stephens@cshl.edu stating your need for financial support. Preference will be given to those submitting abstracts.


We hope to see you at Cold Spring Harbor in November.

This conference may be supported in part by funds provided by:



Pricing
Academic Package $1100
Graduate/PhD Student Package $920
Corporate Package $1400
Academic/Student No-Housing Package $750

Corporate No-Housing Package $945
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Regular packages are all-inclusive and cover registration, food, housing, parking, a wine and cheese reception, and lobster banquet. No Housing packages include all costs except housing. Full payment is due four weeks prior to the meeting.

 

 

Cold Spring Harbor Laboratory
Meetings & Courses Program
PO Box 100, 1 Bungtown Road
Cold Spring Harbor, NY 11724-2213
Phone (516) 367-8346
Fax: (516) 367-8845

meetings@cshl.edu