[dbjapan] VLDBにおけるRound Table 4 - Women at VLDB 2020 in Asia

[Shiori Sasaki <sashiori [at] mdbl.sfc.keio.ac.jp>]

日本データベース学会の皆様

いつもお世話になっております。
慶応大学/武蔵野大学の佐々木です。

VLDB 2020東京において、

9/2（水）15:00-16:00 (JST)
[19R] Round Table 4 - Women at VLDB 2020 in Asia

を開催致します。

Organizing Committee Chairの北川博之先生、
Dr. Wang-Chiew Tan (Megaton Lab)
Dr. Kyoung-Sook Kim (AIST)
にお話を頂きます。

VLDBの参加登録（無料）とWomen at VLDB 2020 in Asiaセッションへの
ご参加を、ぜひとも宜しくお願い申し上げます。

VLDBの参加登録（無料）：
https://vldb2020.org/program.html
for Participants -> Virtual Conference Sign Up -> Name, Affiliation, e-mail

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[19R} Round Table 4 - Women at VLDB 2020 in Asia (60 minutes)
https://vldb2020.org/program_flat.html?s=19R
Wednesday, September 2nd 2020, 3:00 pm [6:00 am UTC]
Day1 Block4

In this session, we focus on the success of women DB researchers. Dr. Wang-Chiew TAN (Megagon Labs) and Dr. Kyoung-Sook Kim (AIST) from Asia will introduce their research and career development. They will share their ideas on what kind of research to do in the DB field and how to develop their careers. At the beginning of the session, Prof. Hiroyki Kitagawa, VLDB Organizing Committee Chair, will give a speech to encourage female researchers. Not only women but also men are welcome to participate in this session.


Program:
15:00-15:05 Opening Remarks, Expectation for Women Researchers in Asia.
Hiroyuki Kitagawa,
Organizing Committee Chair of VLDB, Professor, University of Tsukuba
http://www.kde.cs.tsukuba.ac.jp/~kitagawa/

15:05-15:25 Invited Talk I
Dr. Wang-Chiew Tan
Head of Research at Megagon Labs
https://wangchiew.github.io/

15:25-15:40 Invited Talk II
Dr. Kyoung-Sook Kim
Leader, Data Platform Research Team
Artificial Intelligence Research Center
National Institute of Advanced Industrial Science and Technology (AIST)
https://staff.aist.go.jp/ks.kim/

15:40-15:55 Panel Discussion (Q&A)

15:55-16:00 Closing Remarks, Future of Women Researchers and Diversity in Asia.
Takako Hashimoto,
Vice President, Professor, Chiba University of Commerce
https://www3.cuc.ac.jp/~takako/en/

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Shiori Sasaki
Assoc. Prof., Faculty of Data Science, Musashino University
Project Assoc. Prof., Graduate School of Media & Governance, Keio University

2020年8月26日(水) 16:33 馬強 <qiang [at] i.kyoto-u.ac.jp>:

日本データベース学会の皆様

いつもお世話になっております。

京都大学の馬です。

VLDB 2020東京において、日中のデータベースコミュニティの

交流セッションを開催します。

DBSJ会長喜連川先生やCCF-DB主任のZhanhui Li先生の話のほか，

アリババのFeifei  Li氏や筑波大学の森嶋先生の最新研究成果について聞けます！

VLDB 2020の参加者なら誰でも参加できます！

VLDBの参加登録と日中DB交流セッションへのご参加をよろしくお願いします．

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Session 19r (15:00-17:00 JST)

https://vldb2020.org/program_flat.html?s=19r

RoundTable R3: Japan-China Collaboration 

Program:

15:00-15:10 Opening Remarks, DBSJ Activities. 

                     Masaru Kitsuregawa, President of DBSJ

15:10-15:20 Opening Remarks, CCF-DB Activities

                     Zhanhui Li, Director of CCF-DB

15:20-15:30  Break

15:30-16:10  Invited Talk 1,  Chair: Masaru Kitsuregawa 

                     Title: Cloud Native Database Systems for Enterprise Applications

                     Speaker: Feifei Li, Vice President of Alibaba Group 

                     Abstract:  Cloud native database becomes increasingly important for the era of 

                                     cloud computing, due to the needs for elasticity and high availability. 

                                     A cloud native database system leverages software-hardware co-design

                                    to explore accelerations offered by new hardware such as RDMA and

                                    NVM. New design architectures such as shared-storage and shared-

                                    everything enable a cloud-native database to decouple computation from

                                    storage and provide elasticity. For highly concurrent workloads that

                                    require horizontal scalability, a cloud native database can also leverage a

                                    shared-nothing layer to provide distributed query and transaction 

                                    processing. Cloud applications also require that cloud native databases 

                                    to offer high availability through distributed consensus protocols. 

                                    Furthermore, The need for integrating big data processing workloads

                                    with a traditional OLAP data warehouse inside a cloud native 

                                   database/data warehouse becomes increasingly imperative, so that the

                                   system can provide both real-time online interative analytics and batched

                                   offline ETL with complex computation. We will present the key technical

                                   ideas towards building cloud native database systems and the application

                                   and integration and big data and AI techniques in such systems. 

                       Bio:  Feifei Li is currently a Vice President of Alibaba Group, ACM Distinguished 

                               Scientist, President of the Database Products Business Unit of Alibaba

                               Cloud Intelligence, and Director of the Database and Storage Lab of DAMO

                               academy. He has won multiple awards from ACM and IEEE. He is a 

                               recipient of the ACM SoCC 2019 Best Paper Award (runner-up), IEEE ICDE

                               2014 10 Years Most Influential Paper Award, ACM SIGMOD 2016 Best

                              Paper Award, ACM SIGMOD 2015 Best System Demonstration Award, IEEE

                              ICDE 2004 Best Paper Award. He has been an associate editor, PC 

                              co-chairs, and core committee members for many prestigious journals and 

                               conferences, and has led the R&D efforts of cloud native database systems

                               and products at Alibaba. 

16:10-16:20  Break

16:20-17:00  Invited Talk 2,  Chair: Guoliang Li 

                     Title:  People, AI, Data and the Future of Work: Computational Division of Labor                                     with CyborgCrowd

                     Speaker: Atsuyuki Morishima, Professor of University of Tsukuba

                     Abstract:  JST CREST CyborgCrowd Project is a Japanese government funded 

                                     project that started in Dec. 2016 to  extend crowdsourcing technologies  

                                     to deal with hybrid workforce comprising of human and AI-powered

                                     machine workers in the new digital knowledge era. The project has two

                                     goals: (1) to extend the traditional workforce to include a diverse set of

                                     workers, including AI workers and people who were not considered as 

                                     a part of workforce in the traditional organizations, and (2) to automate

                                     the task assignment process and dynamically optimize the assignment

                                     in terms of not only employers’ but also workers’ viewpoints. This talk

                                     overviews the project and gives the challenges and the current status 

                                    of the project. 

                      Bio: Atsuyuki Morishima is a professor of University of Tsukuba, Japan. His

                             research interests include computational division of labor, data-centric

                             human-machine computations, data integration and digital libraries. 

                             Currently, he is an associate editor of the VLDB Journal, and an steering 

                             committee member of ICADL, DASFAA, and ACM/IEEE JCDL. He is the

                             leader of JST CREST CyborgCrowd Project and the representative of the 

                             Crowd4U initiative. He has been involved in many real-world crowdsourcing

                            projects on digital libraries, digital archives, natural disaster responses and

                            smart cities. He received international and domestic awards including the 

                            second-runner-up for the ACM SIGMOD 2001 best paper award, the 2004

                           IPSJ best paper award, the CAiSE 2015 best paper award and the 2018

                           Emerald Literati Award. In the past, he served as the chair of SIG-DBS of the

                           Information Processing Society of Japan, and a steering committee member 

                           of ACM SIGMOD Japan Chapter. He served as a track chair in ACM CIKM

                          2008 and program co-chairs in ICADL 2016 and JCDL 2019.  

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MA Qiang (馬 強）

京都大学大学院情報学研究科

Graduate School of Informatics, Kyoto University

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