报告题目： Data-Driven Science of Science时间：7月9日上午10:00-11:30
Data have fundamentally changed our daily lives. Data now can be bought and sold, and soon data analytics will become commodity as well. Data have significantly challenged every discipline to revisit its research roadmap to stay competitive. This talk will point out the paradigm shift of bibliometrics (or science of science in a broader way) and illustrate some potential interesting research directions that are data-driven. It will showcase some concrete researches on data-driven discovery and data-driven decision making.
Dr. Ying Ding is a Professor at School of Informatics, Computing, and Engineering and is currently associate director of data science online program at Indiana University. She has been involved in various NIH, NSF and European-Union funded projects. She has published 190+ papers in journals, conferences, and workshops, and served as the program committee member for 180+ international conferences. She is the co-editor of book series called Semantic Web Synthesis by Morgan & Claypool publisher. She is co-author of the book "Intelligent Information Integration in B2B Electronic Commerce" published by Kluwer Academic Publishers, and co-author of the book chapter in "Spinning the Semantic Web" published by MIT Press. She is the co-editor in chief for Journal of Data and Information Science, and serves as the editorial board member for four ISI indexed journals in Information Science and Semantic Web. She is the co-founder of Data2Discovery company advancing cutting edge technologies in data science. Her current research interests include data-driven knowledge discovery, Semantic Web, knowledge graph, scientific collaboration, and the application of Web Technology.