Poster Session:Poster Award Competition for trainees -- Open on May 1st, 2018
Sponsors:To become a sponsor, contact us atSPHBigDIA@uth.tmc.edu.
Travel Support:Application, email completed form toSPHBigDIA@uth.tmc.edu
*For any questions or inquiries, email us at SPHBigDIA@uth.tmc.edu.
The conference will bring together research scientists from academia, industries, and government agencies to report progress and exchange ideas to address challenges in fundamental research and rapid knowledge translation in collecting, processing, analyzing, integrating, annotating and visualizing Big Data for scientific exploration and business decision-making.
This will be the fourth meeting of the annual conference series previously held in China (1st and 2nd meetings) and Canada (3rd meeting).
The conference will consist of:
Tutoring and exhibition sessions on Big Data products and tools
Themes and topics:
Fundamental theories for Big Data analytics:
Statistical theories for Big Data
Computer science theories for Big Data
Mathematical theories for Big Data
Big Data computing: Architecture, database, algorithm, platform, visualization
Artificial Intelligence (AI) for Big Data
EHR and health care Big Data
Big Data prediction and decision-support systems
Finance and economics
Wearable or mobile device data
To exchange and stimulate innovative ideas of state-of-art data science approaches and technologies to collect, process, analyze, integrate, annotate and visualize Big Data.
To promote interactions and collaborations among all scientists, researchers and practitioners who develop data science theories, algorithms and methods to deal with and analyze Big Data from different perspectives such as computer science, statistics, mathematics and other quantitative/computational sciences as well as domain-specific applications.
To present the novel findings and share experience of Big Data application projects and practice from academia, industries and governments.
To nurture and cultivate a new generation of interdisciplinary data scientists.
Key Dates and Venue:
May 1-August 31, 2018: Website will be open for registration and abstract submission for all invited sessions, contributed sessions, and poster sessions including the poster award competition registration.
September 30, 2018: All official invitation letters are sent out for visa applications (international speakers and attendees).
October 1-November 30, 2018: The conference program and schedules will be made accessible.
Conference Venue: The BioScience Research Collaborative (BRC), Rice University, Texas Medical Center, 6500 Main Street, Houston, TX 77005-1892
Conference dates: December 17-19 (Monday-Wednesday), 2018
Paid visitor parking is located in a parking garage beneath the BRC. All parking can be accessed by credit card. Use the same credit card to exit at the end of the day. All-day parking costs $12. For additional information go to Parking for Visitors.
Note, this is a busy time of year with several large events being held in Houston. Please make your hotel reservations early!
Several hotels that are close to Rice University BioScience Research Collaborative include:
Shuttle busses pick up and drop off at bus shelters and marked bus stops (red circles on above map) every 10 minutes. For additional details see Campus Bus Routes. Rice shuttles can be tracked on your computer at http://bus.rice.edu or on your iPhone (free app at http://iphone.rice.edu). The app allows faster loading of the route map, viewing all the buses on the routes and their locations in real time. The buses are color coded to enable the passengers to identify the buses with colored bus symbols.
Transportation from Hotels
All hotels offer free shuttles that will drop you off at the Rice University BioScience Research Collaborative. Please arrange shuttle service with the hotel well in advance of when you need it.