Information Schools (“iSchools”), currently numbering 77 universities on five continents, educate undergraduate and graduate students for a wide range of professional, research, and teaching careers. Knowledge management, information organization, and digital stewardship have long been foundational skills of iSchool graduates. These skills are in demand among a wide range of employers, both public and private, and can be tracked using a variety of data sources, including government projections of job demand and advertised positions from sources such as Indeed.com. In this keynote presentation, these trends are examined to uncover areas of growing interest as well as to recognize shifts away from more traditional employment. A growing range of professional opportunities, not even imagined as recently as five years ago, are now in demand, generating pressure on higher education to adapt and advance a curriculum that responds to global advances in interconnected information technologies.
Ronald L. Larsen has been the Dean and a professor of the School of Information Sciences (SIS) at the University of Pittsburgh (Pitt) since 2002. During the mid to late 1990's, Dr. Larsen was the assistant director of the Information Technology Office at the Defense Advanced Research Projects Agency (DARPA), where he led research programs in digital libraries, information management, and cross-lingual information utilization, with particular emphases on interoperability and the development of performance metrics for large scale distributed information systems. His career includes 17 years at the University of Maryland, where he served as assistant vice president for computing, associate director of libraries for information technology, executive director of a 10-university consortium on workforce development, and affiliate associate professor of computer science. Prior to that he managed research programs in automation and robotics at NASA and developed its research program in computer science.
Learning big data by neural network, such as word embedding algorithms or deep learning, has now much attention in several areas of computer vision, speech recognition, natural language processing and so on. In this keynote presentation, our research on information retrieval and content production using the big data learning are shown, and the impact of the “big data learning” technology to the area of information retrieval and content production is discussed.
Professor Katsumi Tanaka received the BS, MS and PhD degrees in Information Science from Kyoto University, in 1974, 1976 and 1981, respectively. In 1986, he joined the Department of Instrumentation Engineering, faculty of Engineering at Kobe University, as an associate professor. In 1994, he became a full professor at the Department of Computer and Systems Engineering Department, Faculty of Engineering, Kobe University. Since 2001, he has been a professor of the Graduate School of Informatics, Kyoto University. His research interests include database theory and systems, Web search and mining, and multimedia retrieval. He is a leading expert in database systems, multimedia retrieval, and Web information retrieval. He has more than 300 international-journal and major-conference papers published, including papers that have appeared in VLDB，IEEE ICDE, WWW, ACM Multimedia，ACM TODS, TOIS，ACM CIKM and IEEE TKDE. He has also been project leaders of many leading national research projects in Japan, such as Kyoto University Global COE program and NICT (National Institute of Information and Communications Technology) research projects on the fusion of Web and broadcasting content and on Web information credibility. Dr. Tanaka is a member of the ACM, IEEE, the Database Society of Japan (DBSJ) and the Information Processing Society of Japan (IPSJ). He served as a vice president of DBSJ, and he is currently the fellow of IPSJ.
“Smart Nation”, an ongoing national level programme in Singapore, is an example of many efforts around the world to use data as a strategic resource to address urban and social challenges. In this talk, we shall present data analytics technologies that enable a society to become increasingly more (a) Personalized, where analytics seamlessly fuses societal-scale and individual-level information to create technology-driven solutions, services and recommendations that are customized to individual-specific needs, preferences and activities, and (b) Participatory, where individuals voluntarily use their personal apps on mobile devices to collaboratively sense and actuate a variety of urban resources and services. This talk shall review a few examples to illustrate the creation of novel urban services by (a) harnessing the insights from the data generated from social media and urban systems, and (b) using such insights to shape the short and longer-term participation and lifestyle behaviors of residents, at both individual and societal levels.
His research interests include social media mining, information integration, and urban informatics. He has published more than 330 journal and conference papers in his research career. He is currently an Associate Editor of the ACM Transactions on Information Systems (TOIS), ACM Transactions on the Web (TWeb), IEEE Transactions on Knowledge and Data Engineering (TKDE), Information Processing and Management (IPM), Social Network Analysis and Mining, Journal of Web Engineering (JWE), and IEEE Intelligent Systems. He was a member of the ACM Publications Board until December 2012. He now serves on the Steering Committee of the International Conference on Asian Digital Libraries (ICADL), Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD), and International Conference on Social Informatics (Socinfo).