General Co-Chairs:
Zongben Xu (Xi'an Jiaotong University)
Jianhong Wu (York University)
Committee Chair:
Hulin Wu (University of Texas Health Science Center at Houston, USA)
Purpose and Scope:
·-Exchange and stimulate innovative ideas of state-of-art data science approaches and technologies to collect, process, analyze, integrate, annotate and visualize Big Data.
·-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.
·-Present the novel findings and share experience of Big Data application projects and practice from academia, industries and governments.
·-Nurture and cultivate a new generation of interdisciplinary data scientists.
History and website for BigDIA 2017:
Sept 18-22, 2017, The Fields Institute, Toronto, Canada
http://www.fields.utoronto.ca/activities/17-18/big-data-analytics
Date and place: BigDIA 2018
·3 days, December 17-19 (Monday-Wednesday), 2018
·Place: The BioScience Research Collaborative (BRC), Rice University, 6100 Main Street, Houston,
TX 77005-1892
Themes and topics:
·Fundamental theories for Big Data analytics
o Statistical theories for Big Data
o Computer science theories for Big Data
o Mathematical theories for Big Data
· Big Data computing: Architecture, database, algorithm, platform, visualization
· Artificial Intelligence (AI) for Big Data
· Application areas:
o EHR and health care Big Data
o Bioinformatics
o Imaging data
o Precision medicine
o Big Data prediction and decision-support systems
o Finance and economics
o Wearable or mobile device data
o Internet business
· Others
Conference website: https://sph.uth.edu/divisions/biostatistics/bigdia/
Abstracts and papers submission: https://easychair.org/conferences/?conf=bigdia2018