Keynotes

Keynote 1       Saturday, July 8th 9:20-10:20, (Juying Ballroom, 聚英厅, Chair: Lei Chen)

Title: A Holistic View of Human Factors in Crowdsourcing



Speaker: Sihem Amer-Yahia - CNRS, University of Grenoble Alpes

Abstract: For over 40 years, organization studies have examined human factors in physical workplaces and their influence on the ability of an individual to perform a task, or a set of tasks, alone or in collaboration with others. In a virtual marketplace, the crowd is typically volatile, its arrival and departure asynchronous, and its levels of attention and accuracy diverse. This has generated a wealth of new research ranging from studying workers’ fatigue in task completion to examining the role of motivation in task assignment. I will review such work and argue that we need a holistic view to take full advantage of human factors such as skills, expected wage and motivation, in improving the performance of a crowdsourcing platform.
Bio: Sihem Amer-Yahia is a Research Director at LIG in Grenoble where she leads the SLIDE team. Her interests are at the intersection of large-scale data management and data analytics. Before joining CNRS, she was Principal Scientist at QCRI, Senior Scientist at Yahoo! Research and Member of Technical Staff at at&t Labs. Sihem served on the SIGMOD Executive Board, the VLDB Endowment, and the EDBT Board. She is the Editor-in-Chief of the VLDB Journal for Europe and Africa and has been on the editorial boards of TODS and the Information Systems Journal. She was PC chair of SIGMOD Industrial 2015, VLDB Workshops 2016 and is chairing VLDB 2018. Sihem received her Ph.D. in CS from Paris-Orsay and INRIA in 1999, and her Diplôme d’Ingénieur from INI, Algeria.


Keynote 2       Saturday, July 8th 11:00-12:00 (Juying Ballroom, 聚英厅, Chair: Cyrus Shahabi)

Title: Experience on Health such as Earth Health & Human Health Though Big Data





Speaker: Masaru Kitsuregawa - The University of Tokyo, National Institute of Informatics

Abstract: We have been working in the area so called 'Health'. In this talk, our experiences on the problem solving for earth environmental health and human health by big data system technologies are presented. We are wondering what type of platform be suitable for societal health as a whole.
Bio: Masaru Kitsuregawa received the B.E. degree in electronics engineering in 1978, and the PhD degree in information engineering in 1983 from the University of Tokyo. In 1983 joined Institute of Industrial Science, the University of Tokyo as a lecturer. He is currently a director general at National Institute of Informatics, professor at The University of Tokyo, director at the Center for Information Fusion of the Institute of Industrial Science and executive director at Earth Observation Data Integration and Fusion Research Initiative (EDITORIA).

His current research interests range from database engineering, parallel computer architecture, parallel database processing/data mining, storage system architecture, digital earth, speculative transaction processing, etc. He has published more than 200 journal papers and conference papers. He is serving as an associate editor of several international journals, such as VLDB Journal, DAPD (Distributed and Parallel Database) Journal, New Generation Computing Journal, IEEE Transaction on Knowledge and Data Engineering, and WWW Journal. He served as general co-chair of IEEE ICDE05(Int. Conf. on Data Engineering), a trustee of the Very Large Data Base Foundation, an Asian coordinator of IEEE Technical Committee on Data Engineering, and an advisory board member of ACM SIGMOD. He was awarded the ACM SIGMOD Edgar F. Codd Innovation Award in 2009.

Masaru Kitsuregawa is a Professor and the director of the Center for Information Fusion at the Institute of Industrial Science, and executive director for Earth Observation Data Integration and Fusion Research Initiative (EDITORIA), at the University of Tokyo in Japan. He received the Ph.D. degree in information engineering in 1983 from the University of Tokyo. His research interests include database engine, web mining, and advanced storage system. He started Japanese web archive project since 1999 and now it has around 20billion pages. He is building a platform for earth environmental research. Its size is more than 4PB now. He serves as a chair of the steering committee of IEEE ICDE (Int. Conf. on Data Engineering), and had been a trustee of the VLDB Endowment. He has been awarded the ACM SIGMOD E. F. Codd Innovation Award. He is serving a science advisor to the Ministry of Education, Culture, Sports, Science and Technology in Japan. He served a PI of ‘Info-plosion’ project (2005-2011) which is one of the largest IT project in academia.



Keynote 3       Sunday, July 9th 9:00 – 10:00 (Juying Ballroom, 聚英厅, Chair: Christian S. Jensen)

Title: Thinking Spatial





Speaker: Mohamed Mokbel - University of Minnesota

Abstract: The need to manage and analyze spatial data is hampered by the lack of specialized systems to support such data. System builders mostly build general-purpose systems that are generic enough to handle any kind of attributes. Whenever there is a pressing need for spatial data support, it is considered as an afterthought problem that can be addressed by adding new data types, extensions, or spatial cartridges to existing systems. This talk advocates for dealing with spatial data as first class citizens, and for always thinking spatially whenever it comes to system design. This is well justified by the proliferation of location-based applications that are mainly relying on spatial data. The talk will go through various system designs and show how they would be different if we have designed them while thinking spatially. Examples of these systems include data base systems, big data systems, recommender systems, social networks, and crowd sourcing.
Bio: Mohamed F. Mokbel (Ph.D., Purdue University, MS, B.Sc., Alexandria University) is a Professor in the Department of Computer Science and Engineering, University of Minnesota. His research interests include the interaction of GIS and location-based services with database systems and cloud computing. His research work has been recognized by the VLDB 10-Years Best Paper Award, five Best Paper Awards, and by the NSF CAREER award. Mohamed has held prior visiting positions at Microsoft Research and Hong Kong Polytechnic U., and is a co-founder of the GIS Technology Innovation center in Saudi Arabia. Mohamed is/was the program co-chair for ACM SIGMOD 2018, ACM SIGSPATIAL GIS from 2008 to 2010, and IEEE MDM 2011 and 2014. He is Editor-in-Chief for Springer Distributed and Parallel Databases journal, and Associate Editor for ACM Books, ACM TODS, ACM TSAS, VLDB journal, and GeoInformatica. Mohamed is an elected Chair of ACM SIGSPATIAL 2014-2017. For more information, please visit: www.cs.umn.edu/~mokbel.