报告内容：Large Scale Data Sharing Initiatives and Platforms: Lessons Learnt and Challenges Ahead
报告人：支志雄 教授
报告时间：12月9日 9:00
报告方式：线上（腾讯会议：944 3389 6079）
指导人简介:
支志雄，教授，深资首席研究员。目前就职于澳大利亚联邦科学与工业组织（CSIRO）Data61研究所，任云计算和传感数据安全组的科研组长。博士毕业于美国普渡大学西拉法叶分校，先后在飞利浦研究实验室、IBM公司、香港中文大学、新加坡国立大学、清华大学任职，多次担任WCW , AWCC , IEEE SOSEICBE，lCS0C 等国际会议的会议主席，发表学术论文超过近300篇，拥有多项已经产业化的美国专利。支教授目前的研究领域包括行为信息学和分析学，网络安全，物联网，云计算、服务计算和社交网络。
报告内容简介：
Under the era of big data, numerous efforts have been spent on building large scale data repositories, data champion networks and intelligence sharing networks. Typical good examples are the government initiatives data.gov.<country> and the national threat intelligence sharing. Despite the huge investment involved, it is found that most of these networks are found to be ineffective and they are not able to justify their investment and on-going maintenance cost. In this talk, we would like to first survey these data sharing networks and analyse the reasons behind their failure. With the lessons learnt from the past, we would also like to discuss how knowledge sharing networks should be built and what the scientific challenges we are facing. Real life case study will also be used in our discussion.
