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.
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
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:
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.
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 email@example.com and cc: firstname.lastname@example.org
Video Data Analysis: Thursday, October 27th, 1:00 -2:00 pm EST (DONE)
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 email@example.com; Alan Blatecky - firstname.lastname@example.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.
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
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 <email@example.com>
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.