​All Events​

    Red Hat Technology Day for NIH
    Aug 24, 2016

    Join Red Hat, immixGroup, and DLT for our annual technology update on Red Hat open source solutions. This event will discuss how Red Hat solutions are enabling digital transformation and driving innovation at NIH, NASA, Department of Energy, and other scientific-focused organizations. Red Hat Solution Architects will host four 45-minute discussions followed by 15 minutes of Q&A.

    Location: Bethesda Marriot
    Dates:Aug 24, 2016 to Aug 24, 2016
    Times:8:00 AM to 8:00 AM
    Event Website: http://events.immixgroup.com/redhat-nih-techday
    Presented By: Max DiFilippo
    Contact Name: Max DiFilippo, 703.639.1553
    Contact Email: Max_DiFilippo@immixgroup.com

    Overview of Deep Learning in Healthcare
    Sep 8, 2016

    Machine Learning (ML) has become a core technology underlying many modern applications, especially in healthcare. Machine learning techniques provide powerful methods for analyzing large datasets such as medical images, electronic health records and genomics. Recent advances in Deep Learning (DL) provide an analysis framework that can be used to automatically classify images and objects with (and occasionally exceeding) human-level accuracy. A key advantage of Deep Learning is its ability to perform unsupervised feature extraction over massive data sets making big data part of the solution -- not the problem. Deep Learning is rapidly becoming a key tool at many of the top technology companies around the world. The talk will introduce DL in the broader context of machine learning and discuss critical factors driving the success of DL with examples of how deep learning is advancing healthcare. We will also outline development and deployment workflows for building powerful DL solutions and provide an overview of relevant open source toolkits, companies and products. We will wrap up with a short demo of NVIDIA’s DIGITS training system for rapidly prototyping your own deep learning applications.

    Location: NIH/Building 31, 6C room 7
    Dates:Sep 8, 2016 to Sep 8, 2016
    Times:3:00 PM to 3:00 PM
    Presented By: BD2K Training
    Contact Name: Michelle Dunn at NIH
    Contact Email: dunnm3@od.nih.gov

    PLOS Computational Biology Symposium
    Sep 16, 2016

    PLOS Computational Biology (http://journals.plos.org/ploscompbiol/) invites you to a Computational Biology Symposium on the NIH Campus. The Symposium will be chaired by PLOS Editors-in-Chief Ruth Nussinov and Jason Papin and the Journal’s Founding Editor-in-Chief, Dr. Philip Bourne (NIH/Associate Director for Data Science). Keynote addresses will include:  Dr. David J. Lipman, National Center for Biotechnology Information (NCBI); Dr. Jennifer Lippincott-Schwartz, Eunice Kennedy Shriver National Institute of Child Health and Human Development; and Dr. Bert Vogelstein, Johns Hopkins Medical Institutes. The agenda also includes two discussion panels served by PLOS Computational Biology editors from a range of fields. The morning panel will discuss the “Biggest Challenges and Greatest Opportunities in Computational Biology over the Next 10 Years”. The afternoon panel will discuss “How Computational Biology Will Affect Human Health”.  

    Location: Porter Neuroscience Research Center, Bldg 35A, Rm 620, on the NIH Bethesda campus.
    Dates:Sep 16, 2016 to Sep 16, 2016
    Times:9:30 AM to 9:30 AM
    Event Website: https://videocast.nih.gov/summary.asp?live=19639&bhcp=1
    Contact Name: Sonynka Ngosso
    Contact Email: Sonynka.Ngosso@nih.gov

    Data Transparency 2016/Open Data Summit 
    Sep 28, 2016

    Data Transparency 2016 (DT2016) will bring together government leaders, transparency advocates, and the technology industry to transform government information from disconnected documents into open data. DT2016 will feature three tracks: Open Data in Management, Open Data in Regulation, and the first-ever White House Open Data Innovation Summit.

    Location: Washington Convention Center in Washington, DC.
    Dates:Sep 28, 2016 to Sep 28, 2016
    Times:8:00 AM to 8:00 AM
    Event Website: http://www.datafoundation.org/dt-2016

    NIH Frontiers in Data Science Lecture and CHALLENGE SYMPOSIUM
    Sep 30, 2016

    Over the last decade crowd-based models of innovation have been shown to be highly complementary to a range of academic and industrial algorithmic and scientific problems.  The work of the Crowd Innovation Lab| NASA Tournament Lab at Harvard University has shown that crowd-driven solutions for algorithmic challenges in computational biology, image analysis and space sciences routinely outperform internally developed solutions from elite organizations.  The mini workshop will review the results, provide a systematic framework for understanding the place of crowd contests within academic life science research programs and provide a deep dive into two recent challenges in genomics and imaging.   Bio: Karim R. Lakhani is an Professor of Business Administration at the Harvard Business School, the Principal Investigator of the Crowd Innovation Lab and NASA Tournament Lab at the Harvard Institute for Quantitative Social Science and the faculty co-founder of the Harvard Business School Digital Initiative. He specializes in technology management and innovation.  His research examines crowd-based innovation models and the digital transformation of companies and industries. Professor Lakhani is known for his pioneering scholarship on how communities and contests can be designed and managed to achieve innovative outcomes. He has partnered with NASA, TopCoder and the Harvard Medical School to conduct field experiments on the design of crowd innovation programs. His research on digital transformation has shown the importance of data and analytics as drivers of business and operating model transformation and source of competitive advantage This lecture is part of a Challenge Symposium to explore the use of challenges as a mechanism for achieving scientific goals. The symposium will start with remarks from Tom Kalil, Deputy Director for Policy at the White House Office of Science and Technology Policy.  Next, Dr. Karim Lakhani, a Harvard Business School professor who does research on challenges and innovation, will give a lecture.  The symposium will conclude with a panel discussion with Lora Kutkat (NIH), Sandeep Patel (HHS), and Chris Nelson (OSTP).

    Location: Porter Neuroscience Center – Building 35A, Room 610
    Dates:Sep 30, 2016 to Sep 30, 2016
    Times:1:30 PM to 1:30 PM
    Contact Name: Sonynka Ngosso
    Contact Email: Sonynka.Ngosso@nih.gov

    BISTI Consortium Monthly Meeting
    Nov 3, 2016

    NCBI data types, management, monitoring and outreach activities: Kim Pruitt (NCBI)   Please contact susan.gregurick@nih.gov

    Location: NIGMS, Building 45
    Dates:Nov 3, 2016 to Nov 3, 2016
    Times:9:00 AM to 9:00 AM

    SuperComputing, 2016
    Nov 12, 2016

    Location: Salt Lake City, Utah
    Dates:Nov 12, 2016 to Nov 18, 2016
    Times:All Day event
    Event Website: http://sc16.supercomputing.org/

    Open Data Science Symposium
    Nov 30, 2016

    The symposium will be webcast, details will be posted here: http://event.capconcorp.com/wp/bd2k-odss/webcast/. Registration will close on November 18, 2016. Admission to this event is free and open to the public. Registration is required for on-site and webinar attendance. To register, visit: http://event.capconcorp.com/wp/bd2k-odss/. For more information about this event, contact: BD2K_events@od.nih.gov.

    Location: Bethesda North Marriott Conference Center in Bethesda, MD,
    Dates:Nov 30, 2016 to Dec 1, 2016
    Times:All Day event
    Event Website: http://event.capconcorp.com/wp/bd2k-odss/.
    Contact Email: BD2K_events@od.nih.gov.

    BISTI January Meeting
    Jan 5, 2017

    Discussion Topic: FaceBase, Comprehensive craniofacial data and resources

    Location: Natcher room 3AS44
    Dates:Jan 5, 2017 to Jan 5, 2017
    Times:9:00 AM to 9:00 AM
    Presented By: Steve Scholnick (NIDCR)

    Stochastic Physics in Biology
    Jan 8, 2017

    Location: Ventura, CA
    Dates:Jan 8, 2017 to Jan 13, 2017
    Times:5:00 PM to 5:00 PM
    Event Website: http://www.grc.org/programs.aspx?id=15015

    BISTI February meeting: Seminar
    Feb 2, 2017

    BISTI Investigator Seminar: Heterogeneous ensembles for biomedical problems and DREAM challenges Gaurav Pandey, Ph.D.Assistant ProfessorDepartment of Genetics and Genomic SciencesIcahn Institute of Genomics and Multiscale BiologyIcahn School of Medicine at Mount Sinai, New Yorkhttp://research.mssm.edu/gpandey/ Abstract: In many biomedical prediction scenarios, it is difficult to identify the ideal predictor due to incompleteness of knowledge and/or data quality issues. In such scenarios, a powerful approach is to learn heterogeneous ensemble predictors that are learnt from a large and diverse set of base predictors. This talk will describe the basics of these predictors, as well as our work, supported by a BD2K-supported R01, on novel algorithms for learning such predictors from large biomedical datasets. Preliminary results from an innovative application of these predictors to DREAM Challenges will also be presented.

    Location: https://webmeeting.nih.gov/bisti2017/
    Dates:Feb 2, 2017 to Feb 2, 2017
    Times:9:00 AM to 9:00 AM
    Event Website: https://webmeeting.nih.gov/bisti2017/
    Presented By: Gaurav Pandey, Ph.D.
    Contact Email: susan.gregurick@nih.gov

    iii. 2nd annual Next Gen Sequencing Data analysis and Informatics
    Feb 6, 2017

    Location: San Diego, CA
    Dates:Feb 6, 2017 to Feb 7, 2017
    Times:5:00 PM to 5:00 PM
    Event Website: http://www.mnmconferences.com

    Biophysical Society
    Feb 11, 2017

    Location: New Orleans, LA
    Dates:Feb 11, 2017 to Feb 15, 2017
    Times:5:00 PM to 5:00 PM
    Event Website: http://www.biophysics.org/Meetings/AnnualMeeting/tabid/85/Default.aspx

    Third Annual NIH Pi Day
    Mar 13, 2017

    Dates:Mar 13, 2017 to Mar 14, 2017
    Times:All Day event
    Event Website: http://nihpiday.nih.gov.

    Society for Industrial and Applied Mathematics (SIAM) International Conference on Data Mining
    Apr 26, 2017

    Location: Houston, Texas
    Dates:Apr 26, 2017 to Apr 29, 2017
    Times:All Day event
    Event Website: http://www.siam.org/meetings/sdm17/

    iii. Seventeenth Annual High Confidence Software and Systems Conference,
    May 8, 2017

    Location: Historic Inns of Annapolis in Annapolis, Maryland
    Dates:May 8, 2017 to May 11, 2017
    Times:8:00 AM to 8:00 AM
    Event Website: http://cps-vo.org/group/hcss_conference

    Approaches to Biomedical Data Science Challenges in our Understanding of the Microb
    Jun 18, 2017

    Location: The Wylie Inn and Conference Center, MA,
    Dates:Jun 18, 2017 to Jun 23, 2017
    Times:All Day event
    Event Website: http://www.bigdatau.org/innovationlab2017

    Systems Biology - The Transcriptome, Non-Coding RNA Degenerative Diseases, Diagnostics , Therapeutic research, and approaches
    Sep 25, 2017

    Location: St. Laurent Institute, Chevy Chase DC
    Dates:Sep 25, 2017 to Sep 25, 2017
    Times:7:30 AM to 7:30 AM
    Event Website: http://www.stlaurentinstitute.com/scientific-symposium-memorial.htm


    Recurring Events

    BD2K Guide to the Fundamentals of Data Science
    Sep 30, 2016

    To join the meeting online: https://global.gotomeeting.com/join/786506213 To join by phone only: +1 (872) 240-3311; Access Code: 786-506-213

    Location: Weekly Webinar
    Dates:Sep 30, 2016 to Nov 16, 2035
    Times:12:00 PM to 12:00 PM
    Event Website: http://www.bigdatau.org/data-science-seminars
    Presented By: Michelle Dunn
    Contact Email: dunnm3@od.nih.gov
    Recurrence: Recurrence DetailRecurrence Detail