Sitemap  |  Contact  |  Home  |  Chinese  |  CAS
  
Home   About Us   Research & Service   Resources   People   International Cooperation   News   Education & Training   Publications   Join Us   Links
News
Events
Int'l Cooperation News
Upcoming Events
  Location: Home > News > Events
LI Jianhui Re-elected CODATA EC Member
Close
Text Size: A A A

Prof.LI Jianhui, the Secretary-General of the Chinese National Committee for the Committee on Data for Science and Technology (CODATA-CHINA) and Director of the Big Data Department of the CAS Computer Network Information Center (CNIC), was re-elected as the Ordinary Executive Committee Member of CODATA at its General Assembly held in the United States on September 11, 2016. In accordance with the constitution of CODATA, a list of newly appointed members has been elected at the meeting including one president from the United Kingdom, and eight executive members from China, Australia, Kenya, Russia, etc. As is customary, the General Assembly was held  immediately following the CODATA Conference, SciDataCon 2016, as part of the International Data Week in Denver, Colorado on September 11-17, 2016.

SciDataCon 2016 seeks to advance the frontiers of data in research. This means addressing a range of fundamental and urgent issues around the ‘Data Revolution’ and the recent data-driven transformation of research and the responses to these issues in the conduct of research. The conference is motivated by the conviction that the most significant contemporary research challenges—and in particular those reaching across traditional disciplines—cannot be properly addressed without paying attention to issues relating to data. These issues include policy frameworks, data quality and interoperability, long-term stewardship of data, and the research skills, technologies, and infrastructures required by increasingly data-intensive research. They also include frontier challenges for data science: for example, fundamental research questions relating to data integration, analysis of complex systems and models, epistemology and ethics in relation to Big Data, and so on. The transformative effect of the data revolution needs to be examined from the perspective of all fields of research and its relationship to broader societal developments and to data-driven innovation scrutinised. Taken together these issues form a multi-faceted challenge which cannot be tackled without expertise drawn from many disciplines and diverse roles in the research enterprise. Furthermore, the transformations around data in research are essentially international and the response must be genuinely global.

For details, please contact Ms. Li Chang (lichang@cnic.cn).

CopyRight © 2009 Computer Network Information Center, Chinese Academy of Sciences. All Rights Reserved
Email : webmaster@cnic.ac.cn