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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)

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