DataScience@NIH Updates from the NIH Interim Associate Director for Data Science

Having trouble viewing this email? View it as a Web page. Due to the upcoming holidays, there will not be an edition of the DataScience@Updates next week. Look for all the latest in Data Science on January 2, 2018. Happy New Year! DataScience@NIH Important This Week: From 22-24 January 2018, the NCBI will help with a Data Science hackathon on the NIH campus in Bethesda, Maryland! The hackathon will focus on general Data Science analyses including text, image and sequence processing. This event is for researchers, including students and postdocs, who have already engaged in the use of large datasets or in the development of pipelines for analyses from high-throughput experiments. Some projects are available to other non-scientific developers, mathematicians, or librarians. The event is open to anyone selected for the hackathon and willing to travel to the NIH campus. Please see the application form https://goo.gl/forms/fux4nBr6FY3UxdI02 for more details and additional projects. The project list will continue to evolve and will be updated on the application form. Applications are due Friday December 22nd, 2017 by 9 pm ET. Participants will be selected based on the experience and motivation they provide on the form.  Prior participants and applicants are especially encouraged to apply. The first round of accepted applicants will be notified on December 25th by 10 am ET, and have until January 2nd at noon ET to confirm their participation. From 22-24 January 2018, the NCBI will help with a Data Science hackathon on the NIH campus in Bethesda, Maryland! The hackathon will focus on general Data Science analyses including text, image and sequence processing. This event is for researchers, including students and postdocs, who have already engaged in the use of large datasets or in the development of pipelines for analyses from high-throughput experiments. Some projects are available to other non-scientific developers, mathematicians, or librarians. The event is open to anyone selected for the hackathon and willing to travel to the NIH campus. Please see the application form https://goo.gl/forms/fux4nBr6FY3UxdI02 for more details and additional projects. The project list will continue to evolve and will be updated on the application form. Applications are due Friday December 22nd, 2017 by 9 pm ET. Participants will be selected based on the experience and motivation they provide on the form.  Prior participants and applicants are especially encouraged to apply. The first round of accepted applicants will be notified on December 25th by 10 am ET, and have until January 2nd at noon ET to confirm their participation. Applications for the 2018 mHealth Training Institute are open! The main goal of the NIH/UCLA mHealth Training Institute is to develop the next-generation of academic mHealth investigators with the multidisciplinary skills needed to generate high-quality mHealth solutions for optimizing healthcare. Although the mHealth Training Institute focuses primarily on developing academic mHealth researchers, applicants from non-traditional settings with academic interactions will also be considered. Applications are due on January 27, 2018 at 11:59 PM. For more information please visit https://mhealth.md2k.org/mhealth-training-institute BD2K Mobilize Center Seminar: Coral – Efficiently Labeling Image, Video, and Time-Series Training Data. Paroma Varma, Stanford University, January 18, 2018   12pm – 1pm Big Data Science with the BD2K-LINCS Data Coordination and Integration Center - MOOC on Coursera. Learn various methods of analysis including: unsupervised clustering, gene-set enrichment analysis, interactive data visualization, and supervised machine learning with application to data from the Library of Integrated Network-based Cellular Signature (LINCS) program, and other relevant Big Data from high content molecular omics data and phenotype profiling of mammalian cells. December 25, 2017. https://www.coursera.org/learn/bd2k-lincs Apply for the 2018 NCSRR/OpenSim Visiting Scholars Program – a 5-week program to work with the OpenSim team at Stanford that fosters expertise and collaborations in biomechanical simulations for rehabilitation research. Up to $8K awarded for travel & living expenses. Applications are due on February 2, 2018 http://opensim.stanford.edu/support/scholars.html?platform=hootsuite Pacific Symposium on Biocomputing (PSB) 2018|January 3-7, 2018. PSB 2018 will bring together top researchers from around the world to exchange research results and address open issues in all aspects of computational biology. PSB is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology. To register please visit https://psb.stanford.edu Reminders You May Need    Data Science Opportunities: For open postdoctoral positions in Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) or ENIGMA-related labs, check out the refreshed list at http://enigma.ini.usc.edu/about-2/careers/. To learn more about the ENIGMA center please visit http://enigma.ini.usc.edu/about-2/  Big Data Summer Institute is offering a six-week program from June 17 - July 27, 2018 that introduces undergraduate students to the intersection of big data and human health. For more information please visit https://sph.umich.edu/bdsi/ . NIH made 12 awards to support the NIH Data Commons Pilot Phase. The goal of the NIH Data Commons Pilot Phase is to accelerate biomedical discoveries by making biomedical research data Findable, Accessible, Interoperable, and Reusable (FAIR) for more researchers. Read more https://www.nih.gov/news-events/news-releases/nih-awards-test-ways-store-access-share-compute-biomedical-data-cloud   The BD2K-LINCS DCIC is currently accepting applications for the BD2K-LINCS DCIC 2018 Summer Research Training Program in Biomedical Big Data Science, a research intensive ten-week training program for undergraduate and graduate students. Please visit http://www.lincsproject.org/LINCS/news to learn more or to register. Summer Research Program in Biomedical Big Data Science June - August 2018 – The Summer Research Training Program in Biomedical Big Data Science sponsored by the BD2K-LINCS Data Coordination and Integration Center (DCIC) is a research-intensive ten-week training program for undergraduate and graduate students interested in participating in cutting edge research projects aimed at solving data-intensive biomedical problems. Applications are being accepted now, and are due February 1, 2018. New RNA-Seq Data Resource Now Available. BD2K-grantee, Dr. Avi Ma'ayan, and colleagues, recently developed all RNA-seq and ChIP-seq sample and signature search (ARCHS4), a web resource that makes the majority of previously published RNA-seq data from human and mouse freely available at the gene count level. ARCHS4 is freely accessible from: http://amp.pharm.mssm.edu/archs4. NIAID is offering an exciting fellowship opportunity in data science for recent graduates (past 5 years) who are interested in acquiring a unique training experience involving rotations throughout the Institute to either intramural or extramural programs engaged in data-intensive science.   Please see the following link for more information:  https://www.zintellect.com/Posting/Details/3600 Save the Date: The Center for Causal Discovery Summer Short Course on Causal Discovery and Datathon will be held June 11-15, 2018. Our short course is appropriate for both biomedical and data scientists at the level of graduate students on up who seek training in causal discovery and graphical modeling of biomedical data. Our datathon is designed to instruct and challenge biomedical researchers on the use and application of causal modeling and discovery tools in a "bring your own data event". Details, prerequisites, and videos of past presentations for both the short course and datathon can be found at the 2017 website. Data Science Events: Save the Date!  The Data Science and Visualization Institute for Librarians will be held June 4 - 8th, 2018 at the James B. Hunt Jr. Library, North Carolina State University in Raleigh, North Carolina. Applications for the Institute are being accepted at https://www.lib.ncsu.edu/data-science-and-visualization-institute. The Data Science and Visualization Institute for Librarians is a week-long course providing the opportunity for librarians passionate about research and scholarship to immerse themselves in learning about data science and visualization in collaboration with academic peers. Participants will develop knowledge, skills, and confidence to communicate effectively with faculty and student researchers about their data and be able to provide initial consultancy on the course topics. Led by expert instructors, sessions will be interactive and will focus on mastery of core concepts, with hands-on exposure to select open source and highly used commercial tools. Sharing of practices and experiences across institutions will be encouraged. Announcing the Speakers for the 2nd Year of the Big Data to Knowledge Guide to the Fundamentals of Data Science Webinar Series. This virtual lecture series on data science features presentations from experts across the country covering the basics of data management, representation, computation, statistical inference, data modeling, and other topics relevant to "big data" in biomedicine. Learn more and register. Studying Systems Biology by Cellular Perturbations – The BD2K-LINCS Data Coordination and Integration Center (DCIC) and the University of Miami will host the third annual BD2K-LINCS Data Science Symposium (DSS 2018) on January 31 – February 2, 2018. This symposium brings together experts in systems biology, data science, drug discovery and translational medicine from academia, industry and government to present their latest research and exchange new ideas in data-driven biomedical research. Global Women in Data Science (WiDS) Conference. Register now for the WiDS Conference, happening on March 5, 2018, at Stanford and at 100+ locations worldwide. For more information please visit http://www.widsconference.org/ Big Data in Biomedicine Conference: Transforming Lives Through Precision Health. May 23-24, 2018. Silicon Valley, California. Researchers and leaders from academia, hospitals, government and industry will for two days at Stanford Medicine to spark collaborations, address challenges, and identify actionable steps for using large-scale data analysis and technology to improve human health. For more information please visit http://bigdata.stanford.edu   Submissions: We welcome your input! Submissions must be received prior to 12:00 noon ET on Monday to be included in that same week's edition. If you are requesting attendance at an event by Federal employees, it is recommended that you submit your event information a minimum of one month in advance. 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