Hi Folks, I went ahead and scanned the 235 or so proposals for anything Science and Healthcare related in order to construct the proposed Science and Healthcare Track Chris and myself intend to facilitate this year. So here we go. I want to make it absolutely clear that I have included one of my own presentations below. There is a conflict of interest there.
Day 1 - Getting Started with Apache OODT, Tom Barber - Applying Apache Hadoop to NASA’s Big Climate Data, Glenn Tamkin - Apache Tika: Cool insights into Polar Data, Annie Burgess - Streaming-OODT: Combining Apache Spark's Power with Apache OODT, Michael Starch - Exploring Apache Tika's Translate API to Enable Linguistic Analysis of Scientific Metadata through Internationalizing NASA JPL’s Physical Oceanographic Data Active Archive Centre, Lewis John McGibbney - Content extraction from images and video in Tika, Chris Mattmann Day 2 - Apache Airavata overview and roadmap, Suresh Marru - Programming Math in Java - Lessons from Apache Commons Math, Phil Steitz - Userfriendly workflows with Apache OODT, Tom Barber - Pharmacovigilance - Big Data for RealTime Drug Monitoring, Pei Chen - Redefining ETL pipelines with Apache technologies to accelerate decision-making and execution for clinical trials, Eran Withana - Linked Biomedical Dataspace: Extending Apache Jena to Federate Large Scale Open Data Repositories, Claude N. Warren, Jr. Day 3 - Development of IBM Watson with UIMA DUCC, Eddie Epstein - IPython Notebook and Apache Spark as a Unified Data Science Interface for Hadoop, Casey Stella - Apache UIMA BoFs, Marshall Schor - The Emergence of the Datacenter Developer, Kiersten Gaffney - Filtering Twitter with UIMA, Daniel Gruhl - Internet of Things, Justin McLean Thank you folks. Lewis -- *Lewis*
