Welcome to BigSDM 2018!
The International Conference on Big Scientific Data Management (BigSDM 2018) will be held in Beijing, China, during November 30th–December 1st, 2018. The Conference is jointly organized by Chinese Academy of Sciences, Peking University, Tsinghua University, Renmin University, CWI, and MonetDB Solutions.
BigSDM 2018 aims to bring together international experts from natural and computer sciences to explore the life-cycle management of Big Scientific Data, to discuss major methodologies and key technologies in Big Data-driven discovery making, to exchange experience and knowledge about Big Scientific Data across various fields through specific cases, and to identify the challenges and opportunities in scientific discovery acceleration. We hope to, through the conference, gather ideas for fostering new ways of scientific thinking, and promote big data sciences at large.
You may have noted how the launch of big science facilities and major scientific experiments in China contributed to scientific progress nationwide and globally, such as the Five-hundred-meter Aperture Spherical radio Telescope(FAST) in the area of astronomy, the Dayawan Nuclear Reactor Neutrino Experiment in the area of high energy physics, the Multimodal and Multilevel Biomedical Imaging Facilities in the national 13th Five-Year Plan. Yet equally notable are the enormous emerging and emergent challenges that await our quick and targeted responses.
With a local orientation and a global perspective, BigSDM 2018 joins a series of domestic endeavors yet builds on the common interests of scientists worldwide. Among major data projects in China, ‘Big Scientific Data Management Systems’, funded by the National Key Research and Development Plan, has designed an open system architecture and a benchmark for big data management, based on which an open-architecture, open-source pipeline system for data management was built. ‘CASEarth’, a CAS Strategic Pioneering Research and Development Programme, focuses on building a global big data network to study Earth and support research on climate change, as well as to predict and mitigate natural disasters. While introducing China’s peculiar experience in accelerating discovery with Big Scientific Data, BigSDM 2018 also asks how to build data science and information infrastructures across disciplinary, national, and geographical boundaries.
The poster of CALL FOR PAPERS can be downloaded here.
For any inquiry, please send an e-mail to firstname.lastname@example.org.
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