2013年10月22-25日 北京 国家会议中心
近年来，在各个学科领域的数据密集型科研已经开始在全球呈现快速发展的趋势，继欧美之后，大数据和云计算在亚洲的交叉学科的相关研究中也成为一大热点。广大科研工作者们面临着怎样应对前所未有的海量计算需求的巨大挑战。
2013 微软 eScience 研讨会，邀请到了不同的学科领域重量级的专家学者做主题报告。他们将对交叉学科的热点问题、相关理论和方法进行深入浅出的介绍，并对如何利用计算辅助不同领域前沿技术研究等进行探讨。使参加者在了解学科热点、提高学术水平的同时，增加彼此交流机会和实践体验。
“从大数据到发现”2013微软eScience 研讨会将为大家带来十余场精彩的主题报告、论坛以及4场大数据处理工具的主题培训。
本次研讨会免会议注册费用，并为参会人员提供会议期间餐饮。参会人员需自行承担住宿与交通费用。
Register Now
The 10th Microsoft eScience Workshop 2013
October 22–25, 2013, Beijing, China
It’s our great pleasure to announce the 10th Microsoft eScience Workshop 2013 is open for registration NOW. The online registration is available at http://ms2013escienceworkshop.com.
We welcome you to register before October 10, 2013 (5:00 pm, Beijing Standard Time).
The Microsoft eScience Workshop 2013 will be held October 22 to 25 at the China National Convention Center, Beijing, in conjunction with the 9th IEEE International Conference on e-Science.
This tenth annual Microsoft eScience Workshop continues the ongoing dialogue centered on applications in broad areas of scientific investigation, such as environmental studies, bioinformatics, and climate understanding; presents new results in data modeling; and provides an opportunity for open discourse on developments in urban computing. Discussions will cover eScience computing needs from data collection, data analytics, and machine learning to visualization. The topics selected for this year’s program create the opportunity for a rich, interdisciplinary exchange of ideas. You can find the workshop agenda at our website: eScience Workshop 2013 -From Data to Discovery.
The Microsoft eScience workshop is free for invited registration. Microsoft will pay for your meals and local transportation on October 22-25, 2013, but you shall pay for your lodging and other travel costs to attend this event.
Thank you,
Microsoft eScience Workshop 2013
Speakers
• Alexander Szalay
Alexander Szalay is the Alumni Centennial Professor of Astronomy at the Johns Hopkins University, and professor in the Department of Computer Science. He is the director of the Institute for Data Intensive Science. He is a cosmologist, working on the statistical measures of the spatial distribution of galaxies and galaxy formation. He is a corresponding member of the Hungarian Academy of Sciences, and a Fellow of the American Academy of Arts and Sciences. In 2004, he received an Alexander Von Humboldt Award in Physical Sciences, in 2007 the Microsoft Jim Gray Award. In 2008, he became Doctor Honoris Causa of the Eotvos University, Budapest. He enjoys playing with Big Data.
• Daniel A. Keim
Daniel A. Keim is full professor and head of the Information Visualization and Data Analysis Research Group in the Computer Science Department of the University of Konstanz, Germany. He has been active in database, data analysis, and information visualization research for more than 20 years and developed a number of novel visual analysis techniques for very large data sets. He has been program co-chair of the IEEE InfoVis and IEEE VAST symposia as well as the SIGKDD conference, and he is member of the IEEE VAST as well as EuroVis steering committees. He is an associate editor of the journal Information Visualization (since 2001) and has been an associate editor of the IEEE Transactions on Visualization and Computer Graphics (1999–2004), the German database technology journal Datenbank-Spektrum (2011–2009), IEEE Transactions on Knowledge and Data Engineering (2002–2007), and the journal Knowledge and Information System (2006–2011). He is coordinator of the DFG (German Research Foundation) German Strategic Research Initiative “Scalable Visual Analytics, the BMBF (Federal Ministry of Education and Research) research initiative on “Visual Analytics for Security Applications,” and he has been the scientific coordinator of the EU Coordination Action “Visual Analytics—Mastering the Information Age.” Dr. Keim got his Ph.D. and habilitation degrees in computer science from the University of Munich. Before joining the University of Konstanz, Dr. Keim was associate professor at the University of Halle, Germany and Technology Consultant at AT&T Shannon Research Labs, New Jersey, United States.
• Junichi Tsujii
Junichi Tsujii is a principal researcher at Microsoft Research Asia. Before joining Microsoft Research Asia in2011, Junichi Tsuji was professor of Natural Language Processing, University of Tokyo, Japan, and professor of Text Mining, University of Manchester, UK. He remains the scientific advisor of the UK National Centre for Text Mining (NaCTeM) at the University of Manchester. He has received a number of awards, such as the IBM Science Award (1989), SEYMF Visiting Professorship (2000), Daiwa-Adrian Prize (2004), IBM Faculty Award (2005), Achievement Award of Japan Society for Artificial Intelligence (2008), Fellow of Information Processing Society Japan (2010), and the Medal of Honor with Purple Ribbons (2010). Professor Tsuji has also been president of ACL (Association for Computational Linguistics, 2006), president of IAMT (International Association for Machine Translation, 2002–2004), and president of AFNLP (Asian Association for Natural Language Processing, 2007). He is a permanent member of the ICCL (International Committee for Computational Linguistics, 1992–present) and its vice-chair (2012–present).
• Maode Lai
Professor Lai Maode graduated from Zhejiang Medical University with bachelor degree of medicine in December 1982, and received an M.S. degree in Zhejiang Medical University in July 1987, and an M.D. degree in Luebeck Medical University in Germany in December 1990. He is a professor of pathology (since 1994). He served as vice president of Zhejiang Medical University from 1996 to 1998. He has served as vice president of Zhejiang University since 1998, and as president of China Pharmaceutical University since 2013. Professor Lai is committed to teaching and research, and he has received many awards for his research and scholarly writing. He is the author of more than 100 articles in professional and scholarly journals. As a scientist, Professor Lai is chairman of the Chinese Society of Pathology and vice president of the Chinese Association of Pathologists. He is a member of the German National Academy of Sciences Leopoldina (since 2011).
• Drew Purves
Drew Purves is head of the Computational Ecology and Environmental Science group (CEES) at Microsoft Research Cambridge. Before joining Microsoft, Purves studied ecology at Cambridge University, did a Ph.D. in ecological modeling at the University of York (UK), and a five-year postdoc at Princeton University. Purves’ research interest is in combining ecological theory, with large and varied datasets, via computational statistics, in order to produce quantitative, predictive models of ecological phenomena. Following Purves’ lead, the CEES group is using this approach to build new models to address global environmental challenges—for example, carbon-climate, food security, wood production, biodiversity and ecosystem function, and pandemics—whilst developing new software tools to enable others to carry out this kind of ecological modeling. Purves has published more than 30 research papers in top peer-reviewed journals, including Science, Proceedings of the National Academy of Sciences, Proceedings of the Royal Society B, and most of the top ecology-specific journals. In 2012, he was one of 40 “young scientists” worldwide invited to attend the World Economic Forum “Summer Davos” meeting in Tianjin, China. He lectures at Cambridge University and is the treasurer of the British Ecological Society, the world’s oldest ecological society.
• Dan Fay
Daniel Fay is the director of Earth, Energy, and Environment for Microsoft Research Connections, where he works with academic research projects focused on utilizing computing technologies to aid in scientific and engineering research. This includes his teams’ projects in Astronomy and Earth Visualization using the Microsoft Research technologies, WorldWide Telescope and Layerscape.org. Fay has project experience working with high-performance computing, grid computing, collaboration, and visualization tools in scientific research. He was previously the manager of the eScience Program at Microsoft Research, where he started Microsoft’s engagements in eScience—including the Microsoft Research eScience Workshop.