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5 days ago
Unfiled. Edited by Renata Rawlings-Goss 5 days ago
Renata R See Our Funded Spoke in Health 
  • High Impact Applications of Data Science in Precision Medicine, Health Analytics, and Health Disparities Workshop
Diverse stakeholders, from pharma, insurance, cloud providers, academic health systems, and the Center for Disease Control, convened as we assessed the impact data science in the critical fields of Precision Medicine, Health Analytics and Economy, and Health Disparities. 
Atlanta, GA; September 19 - 20, 2016. 
72 partnerships; 39 organizations; 15 states.
Speakers : UnitedHealthCare, Microsoft, Global Genomics Group (G3), Center for Integrated Genomics-GaTech, Intel, Gilead, Cloudera, Morehouse School of Medicine, and Merek. 
Day 1
8:00 am- Welcome 
-- Dr. Renata Rawlings-Goss, Co-Executive Director, South Big Data Innovation Hub 
Director of Industry Partnerships, Georgia Tech Institute for Data Engineering and Science (IDEaS)
-- Dr. Srinivas Aluru Principal Investigator, South Big Data Innovation Hub
Co-Executive Director, Georgia Tech Institute for Data Engineering and Science (IDEaS)
-- Dr. Elizabeth Mynatt Chair of the Computing Community Consortium   
9:00 - 10:00 Session One: Precision Medicine 
-- Genomics and Next-Generation Sequencing (Idean Marvasty, Global Genomic Group)
-- Bioinformatics (Gregory Gibson, Center for Integrated Genomics) 
10:00-10:15 Break
10:15 - 11:15 Round-table discussion with Faculty and Industry: Precision Medicine and Bioinformatics
11:15 - 12:00 Panel of PEPI Faculty Fellows 
12:00 - 1:00 Lunch (Shawn Dolley, Cloudera Precision Medicine Initiative)
1:00 Session Two: Health Analytics & Economy:
   -- Insurance (Sandra Long, UnitedHealthCare)
   -- Industry (Vani Mandava, Microsoft) 
   -- Health Data Brokers (Arnaub Chatterjee, Merek)
2:30-2:45 Break
2:45 - 3:45 Roundtable discussion with Faculty and Industry: Health Analytics & Economy
3:45 - 5:00 Academic-Industry Poster Session and Networking Reception
Day 2 
8:00 Breakfast and Registration
8:30 - 10:30:  Session Three: Health Grand Challenges and Disparities
   -- Pharma (Keith Rawlings, Gilead)
   -- Securing the Bio-economy (Melvin Greer, Intel)
   -- Electronic Health Records (Ashok Krishnamurthy, RENCI) 
   -- Jackson Heart Study (Herman Taylor, Morehouse School of Medicine)
10:30-10:45 Break
10:45 - 12:00 Roundtable discussion with Faculty and Industry
Lunch on your own
Conference End 
17 days ago
Unfiled. Edited by Renata Rawlings-Goss 17 days ago
Renata R See Our New Funded Spoke in Energy 
  • Applications of Analytics and Machine Learning in Energy Industry-Academia Workshop 
The goal is to connect industry partners with academic researchers in the domains of Energy: Power, Smart Grid, etc as well as Big Data and Data Science. Speakers will be specifically selected to share their perspective on high-impact applications or challenges surrounding the use of data science, analytics, informatics, and machine learning  in the Energy space.  Attendees will come from academic research institutions across the 16 states that comprise the South Big Data Innovation Hub and industrial partners across the country. Participants will engage in active scoping and round-table discussions in order to build partnerships across high-impact application verticals.
Georgia Institute of Technology, Klaus Advanced Computing Building, Atlanta, GA
Date: September 6, 2016
Time: 8:00 am to 6:00 pm 
Watch: Live Video
The South Big Data Innovation Hub accelerates partnerships among people in business, academia, and government that apply data science and analytics to societal and economic challenges important to the region. The South Hub is part of a national network of four Big Data Innovation Hubs in the United States, and individually includes more than 500 members from both the private and public sectors. 
Video Now Available for Each Session! Click Link Below:
18 days ago
Unfiled. Edited by Renata Rawlings-Goss 18 days ago
Renata R
  • Text Data Analysis | Thursday, December 8th, 1:00 -2:00 pm EST

Join this open panel discussion if you are a researcher or company working on text mining, in any sector. We will be discussing topics like web-scraping, semantic web, analysis tools in R and Python, the benefits of open source search engines such as Solr and elasticsearch as well as current industry search options. It is a two-way discussion so tell us about yourself.
Meeting number: 738 118 709
Meeting password: 20161208_Text
The VITAL series, created by the Community Engagement Group concerns the analysis of Video, Image, Text, Audio, or Learning (VITAL) data. In it we will be exploring use cases and techniques across disciplines in each of these fundamental types of data. This is an effort to break down barriers across disciplines and bridge solutions across sectors including industry, academia, government, and non-profits. The VITAL series is being developed by the Community Engagement working group. To participate or become a speaker please contact: Dr. Renata Rawlings-Goss Co-Executive Director of the South Big Data Hub at rrawlingsgoss@gatech.edu and cc: shalbert@southbdhub.org
Video Data Analysis: Thursday, October 27th, 1:00 -2:00 pm EST (DONE)
19 days ago
Unfiled. Edited by Lea Shanley , Grant West 19 days ago
Lea S
  • Meeting 2: Nov 14, 2:30 - 3:30 pm ET
Synthetic Population Demo | Webcast
Join Virtual Meeting here | Participant Code: 332342
Audio connection: +1-866-244-8528
On behalf of the South Big Data Hub Health & Environment communities, Bill Wheaton, Senior Geospatial Scientist, and Jay Rineer, Director, Geospatial Science and Technology program at RTI International, will describe the structure, content, and applications of a Synthetic Population of the U.S. 
The Synthetic Population is a computer representation of each household and individual in the U.S. where household-level and person-level characteristics match census aggregated counts at the census block group level and locations of each synthetic household match high resolution population density estimates.
For more information contact:
William Wheaton   wdw@rti.org;   Alan Blatecky - arblatecky@gmail.com
Synthetic Microdata Household Data Viewer: http://synthpopviewer.rti.org 
Bill Wheaton is a Senior Geospatial Scientist and former director of the Geospatial Science and Technology Program at RTI International. He has more than 30 years of experience applying geographic information systems (GIS) technology in environmental and social science research.  Mr. Wheaton has led the development of several national synthetic population databases for the U.S. and a variety of other countries.
James (Jay) Rineer is the Director of RTI’s Geospatial Science & Technology program.  He is a registered professional civil engineer with over 15 years of experience as a geographic information systems (GIS) application developer, water resources engineer, and project manager. He specializes in the design and development of Web-based, desktop, and mobile tools using a variety of GIS and database technologies, application frameworks, and libraries. Mr. Rineer serves as the project manager, architectural, or technical lead on a variety of key RTI projects for the U.S. Environmental Protection Agency (EPA), commercial clients, research projects, and commercialization efforts.
Participants (please add your email address)
  • Alan Bletechy, RTI
  • Bill Wheaton, RTI
  • Grant West, University of Arkansas, gwest@uark.edu
  • Malay, VA Tech
  • Rene Baston, NE Big Data Hub
  • Chris Smith-Naill
  • Jarrod
  • Elena
  • Jian Chen, University of Maryland
  • Lisa Stillwell, RENCI
  • Stan Ahalt, South Big Data Hub
  • Lea Shanley, South Big Data Hub: lshanley@renci.org 
  • Stan Ahalt: would it be possible to geographically report health outcomes
  • Rene: We have a project focused on mapping a 700million patient record EMR to exposome data.  It would be great to connect you to that project.
  • Grant West: Is there a basic leve of richness that a survey dataset might need for enriching the synthetic dataset?
  • Jian Chen: I ran late to the meeting, could you please your dasymetric mapping method again?
22 days ago
Unfiled. Edited by Lea Shanley , Karl Gustafson , Jianwu Wang 22 days ago
  • Meeting 7November 11, 2016 3:00-4:30 PM ET
Join WebEx here | Meeting number: 310 282 152 | Password: mcYte242
Audio connection: +1-855-282-6330 
Demo & Discussion  
  • Kenton McHenry: Brown Dog : Science Driven Data Transformation Service. Brown Dog seeks to develop a service that will make past and present un-curated data accessible and useful to scientists while also demonstrating the novel science and scholarship that can be conducted from such data.
  • Carol Song: GABBS: The Geospatial Building Blocks (GABBs) project is creating a powerful, yet easily used, Web-based system for hosting, processing, analyzing and sharing geospatial data.
  • Kenton McHenry, Brown Dog and Midwest Big Data Hub
  • Carol Song -- GABBS presentation
  • Email: carolxsong@purdue.edu
  • Jane Greenberg, HIVE and NE Big Data Hub
  • Email: jg3243@drexel.edu
  • Joan Boone, HIVE and South Big Data Hub
  • Email: jpboone@email.unc.edu
  • Michael Conway, HIVE, RENCI and South Big Data Hub
  • Email: michael_conway@unc.edu 
Karl G
  • Karl Gustafson, South Big Data Hub kgustafs@renci.org
Lea S
  • Jim Myers
  • Charles Schmitt, RENCI
  • Florence Hudson, Internet2
Jianwu W
  • Jianwu Wang, jianwu@umbc.edu
Lea S
  • Arcot Raja Rajasekar, RENCI
  • Lisa Stilwell, RENCI
  • Reagan Moore, SILS
  • BD
Karl G
  • Dylan (RENCI)
  • Eric Kaufmann
  • Howard Lander, RENCI
  • Thank you all. If you want to provide a demo to the group, please contact Lea Shanley lshanley@renci.org and Karl Gustafson.
48 days ago
Unfiled. Edited by Renata Rawlings-Goss 48 days ago
The Big Data in Materials and Manufacturing theme community is an open forum to discuss data solutions and issues facing modern Material Science and Advanced Manufacturing. This pad text is synchronized as you type, so that everyone viewing this page sees the same text.  Please feel free to add to the discussion. To join contact Renata Rawlings-Goss <rrawlings.goss@gatech.edu>
This Github repository was created after the Materials and Advanced Manufacturing Workshop, from combined participant input. Courtesy of  Andrew Medford , Mark Jack and Jason Hattrick-Simpers.
If you know of resources for materials informatics. Feel free to become a contributor.
Members (119)
Yi Jiang Grant West Claire Hardgrove Dylan Young Jen Metes Erin Mullenix Cynthia Lee Zsolt Kira Will Barkis James Myers Rebecca Koskela Sandeep Satheesan Travis Desell Leslie Hsu Daniel Wheeler Bart De Lathouwer Tony Hamilton Alexander Dale Meghan Murphy yufeng xin

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