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Wednesday, September 21, 2016

Sony Faculty Innovation Grant in Computational Biology and Human-Computer Interaction

Trialect is soliciting applications for Sony Faculty Innovation Grants in Computational Biology and Human-Computer interactions (please also see other areas of interest for Sony). Sony, as part of one of the world's most innovative and recognizable brands, is committed to high quality university research and innovation in North America. This Research Grant Program provides funding for cutting-edge academic research and helps build a collaborative relationship between faculty and Sony researchers. As the deadline is fast approaching, we are reaching out to see if your team is interested to submit a proposal. The details can be perused at: Sony Faculty Innovation Award​
URL: https://app.trialect.com/4943/display

Contact Person: Trialect Support (Support@trialect.com)

Wednesday, September 7, 2016

The BD2K Guide to the Fundamentals of Data Science Online Lecture Series

The NIH Big Data to Knowledge (BD2K) program (https://datascience.nih.gov/bd2k) is pleased to announce The BD2K Guide to the Fundamentals of Data Science, a series of online lectures given by experts from across the country covering a range of diverse topics in data science. This course is an introductory overview that assumes no prior knowledge or understanding of data science.

This lecture series is a joint effort between the BD2K Training Coordinating Center (BD2KTCC, http://www.bigdatau.org/), the BD2K Centers Coordination Center (BD2KCCC, https://bd2kccc.org/), and the NIH Office of the Associate Director of Data Science (ADDS, https://datascience.nih.gov/adds). For up-to-date information about the series and to view archived presentations, go to: http://www.bigdatau.org/data-science-seminars.

The series begins Friday, September 9th, and will run all year, once per week, on Fridays from 12:00pm – 1:00pm ET. For additional event information, contact Crystal Stewart (crystal.stewart@loni.usc.edu).

*** 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
*** First GoToMeeting? Try a test session:
http://help.citrix.com/getready

2016 LECTURE SCHEDULE

· 09/09/16 - INTRODUCTION to Big Data and the Data Lifecycle (Mark Musen, Stanford)
· 09/16/16 - SECTION 1: DATA MANAGEMENT OVERVIEW (Bill Hersh, Oregon Health Sciences)
· 09/23/16 - Finding and Accessing Datasets, Indexing, and Identifiers (Lucila Ohno-Machado, UCSD)
· 09/30/16 - Data Curation and Version Control (Pascale Gaudet, Swiss Institute of Bioinformatics)
· 10/07/16 - Ontologies (Michel Dumontier, Stanford)
· 10/14/16 - Metadata Standards (Zachary Ives, Penn)
· 10/21/16 - Provenance (Suzanne Sansone, Oxford)
· 10/28/16 - SECTION 2: DATA REPRESENTATION OVERVIEW (Anita Bandrowski, UCSD)
· 11/04/16 - Databases and Data Warehouses, Data: Structures, Types, Integrations (Chaitan Baru, NSF)
· 11/11/16 - NO LECTURE: VETERAN'S DAY
· 11/18/16 - Social Networking Data (TBD)
· 12/02/16 - Data Wrangling, Normalization, Preprocessing (Joseph Picone, Temple)
· 12/09/16 - Exploratory Data Analysis (Brian Caffo, Johns Hopkins)
· 12/16/16 - Natural Language Processing (Noemie Elhadad, Columbia)

2017 TENTATIVE LECTURE SCHEDULE

· 01/06/17 - SECTION 3: COMPUTING OVERVIEW
· 01/13/17 - Workflows/Pipelines
· 01/20/17 - Programming and Software Engineering, API, Optimization
· 01/27/17 - Cloud, Parallel, Distributed Computing, and HPC
· 02/03/17 - Commons: Lessons Learned, Current State
· 02/10/17 - SECTION 4: DATA MODELING AND INFERENCE OVERVIEW
· 02/17/17 - Smoothing, Unsupervised Learning/Clustering/Density Estimation
· 02/24/17 - Supervised Learning/Prediction/ML, Dimensionality Reduction
· 03/03/17 - Algorithms, Optimization
· 03/10/17 - Multiple Testing, False Discovery Rate
· 03/17/17 - Data Issues: Bias, Confounding, and Missing Data
· 03/24/17 - Causal Inference
· 03/31/17 - Data Visualization Tools and Communication
· 04/07/17 - Modeling Synthesis

SECTION 5: ADDITIONAL TOPICS
· 04/14/17 - Open Science
· 04/21/17 - Data Sharing (including social obstacles)
· 04/28/17 - Ethical Issues
· 05/05/17 - Extra Considerations/Limitations for Clinical Data
· 05/12/17 - Reproducibility
· 05/19/17 - SUMMARY and NIH CONTEXT

Individuals with disabilities who need reasonable accommodation to participate in this event should contact Sonynka Ngosso (Sonynka.Ngosso@nih.gov) at 301-402-9816. Requests should be made at least 5 business days in advance of the event.
URL: https://datascience.nih.gov/bd2k)

Contact Person: Lisa Dunnebacke (lisa.dunnebacke@nih.gov)