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# System prepended metadata

title: 'VLDB2020: Round Table'

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# VLDB2020: Round Table

## Round Table 1 - Systems for ML (Day 1, Block 3) [15r]

> Start at <span class="timeUTC">2020-09-02T01:00:00Z</span>

### 
* Chair: Alex Ratner

#### Description
This session will discuss the challenges and opportunities for building systems and using the expertise from the database community in support of Machine Learning workloads.

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## Round Table 2 - Learning Algorithms, Data Structures, and Database Components (Day 1, Block 3) [15R]

> Start at <span class="timeUTC">2020-09-02T01:00:00Z</span>

### 
* Chair: Tim Kraska
* Other members: Stratos Idreos, Sanchit Misra, Umar Farooq Minhas, Sanjay Krishnan

#### Description
An open discussion about how ML can enhance traditional algorithms, data structures, and database components. What algorithms/components should we look at, what is promising, what isn't. For example, what are the big missing pieces in learned query optimization or workload-driven data storage layouts. 

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## Round Table 3 - Japan-China Collaboration : 2 hours (Day 1, Block 4) [19r]

> Start at <span class="timeUTC">2020-09-02T06:00:00Z</span>

### 
* Chair: Masaru Kitsuregawa
* Other members: Zhanhuai Li, Guoliang Li, Akiyo Nadamoto, Toshiyuki Shimizu, Qiang Ma, Feifei Li, Atsuyuki Morishima

#### Description
In this session, we will introduce the recent activities of the database communities in Japan and China, exchange opinions and discuss future cooperation. Prof. Kitsuregawa, President of DBSJ, and Prof. Li, Director of CCF-DB, will give opening remarks and introduce the activities of their respective communities. After that, Dr. Feifie Li of the Alibaba Group and Prof. Morishima of the University of Tsukuba will talk about  "Cloud Native Database Systems for  Enterprise Applications" and "People, AI, Data and the Future of Work: Computational Division of Labor with CyborgCrowd", respectively. 

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## Round Table 4 - Women at VLDB 2020 in Asia (Day 1, Block 4) [19R]

> Start at <span class="timeUTC">2020-09-02T06:00:00Z</span>

### 
* Chairs: Takako Hashimoto and Shiori Sasaki

#### Description
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. 

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## Round Table 5 - Intelligent Data Exploration (Day 2, Block 1) [25r]

> Start at <span class="timeUTC">2020-09-02T12:00:00Z</span>

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* Chairs: Georgia Koutrika and Kurt Stockinger

#### Description
Data growth and availability as well as data democratization have radically changed data exploration. Many different data sets, generated by users, systems and sensors, are continuously being collected. These data sets contain information about scientific experiments, health, energy, education etc., and they are highly heterogeneous in nature, ranging from highly structured data in tabular form to unstructured text, images or videos. While the benefit of data exploration becomes increasingly more prominent, the limitations of existing tools make accessing and combining data from different data sources a non-trivial, time-consuming, and often fruitless endeavor. In this round table, we will discuss about what it takes to bridge the gap between users and data, and the new generation of intelligent data exploration tools that are emerging in the intersection of data management, natural language processing, machine learning and visualization. 

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## Round Table 6 - Making Uncertain Data Management Practical (Day 2, Block 1) [25R]

> Start at <span class="timeUTC">2020-09-02T12:00:00Z</span>

### 
* Chairs: Boris Glavic and Oliver Kennedy
* Other members: Peter Haas, Renee Miller, Wolfgang Gatterbauer, (Leonid Libkin)

#### Description
For several decades now, the database community has been exploring ways to cope with uncertainty in data resulting from outliers, imprecision, missing data, ambiguity in data integration, and more.  Yet, while such data quality issues are a bigger problem than ever, general-purpose solutions for managing uncertainty in data are still nowhere to be found.  In this roundtable, a panel of experts explores the challenges in making uncertain data management practical. 

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## Round Table 7 - Data Management for Multimedia Data (Day 2, Block 3) [35r]

> Start at <span class="timeUTC">2020-09-03T01:00:00Z</span>

### 
* Chairs: Helen Huang and Brandon Haynes
* Other members: Ramesh Jain, Mohan Kankanhalli, Magda Balazinska

#### Description
An open discussion about multimedia data management from the past, present and future perspectives. Main topics include the major achievements and trending topics in the field, challenges and opportunities, cross-discipline research (e.g., multimedia computing and data integration, multimedia data management and ML), community benefit and impact, and so on.

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## Round Table 8 - Provenance and Explanations (Day 2, Block 3) [35R]

> Start at <span class="timeUTC">2020-09-03T01:00:00Z</span>

### 
* Chairs: Sudeepa Roy and Wolfgang Gatterbauer
* Other members: Ramesh Jain, Mohan Kankanhalli, Magda Balazinska

#### Description
An open discussion about various notions of provenance and explanations for query answers that our community has been developing over the past years, their scalability, and their applicability to solving real world problems including explanations for machine learning.

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## Round Table 9 - Replay of Prof. Ruha Benjamin's Invited talk (Day 2, Block 4) [40r]

> Start at <span class="timeUTC">2020-09-03T07:00:00Z</span>

### 
* Chair: Xiaofang Zhou

#### Description
This round table will replay the invited talk by Prof. Ruha Benjamin

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## Round Table 10 - Machine Learning for Databases (Day 2, Block 4) [40R]

> Start at <span class="timeUTC">2020-09-03T07:00:00Z</span>

### 
* Chair: Guoliang Li

#### Description
An open discussion about how machine learning can enhance database, including database configuration (e.g., knob tuning, buffer tuning), database optimization (e.g., cost estimation, join order selection), database advisor (e.g., index and view advisor), database security (e.g., sensitive data discovery).

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## Round Table 11 - Reproducibility and/or Availability? (Day 3, Block 1) [45r]

> Start at <span class="timeUTC">2020-09-03T12:00:00Z</span>

### 
* Chair: Wolfgang Lehner

#### Description
While other scientific communities have established a comprehensive culture of providing material (code and data) for other researchers to reproduce submitted and/or published research results and eventually to build upon existing work, our community is still at the beginning of implementing such a culture. Submission numbers to the reproducibility check are small, the amount of accepted papers within “Evaluation and Analysis Tracks” is low (and quite often not recognized appropriately). Within this round table discussion, we want to (a) share our current ideas of promoting availability and reproducibility as well as to (b) kick-start a discussion on further activities especially in light of academic and industrial research.

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## Round Table 12 - Query Processing Meets Modern Hardware (Day 3, Block 1) [45R]

> Start at <span class="timeUTC">2020-09-03T12:00:00Z</span>

### 
* Chairs: Jana Giceva and Viktor Leis

#### Description
The hardware landscape is changing quickly: Persistent Memory, High-Performance Networking, Computational Storage, Custom Hardware, and the Cloud have the potential of radically affect the architecture of query processing engines. In this session, we are discussing how these technologies will influence the design of novel data processing systems, algorithms, and data structures.

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## Round Table 13 - Women in Databases (Day 3, Block 2) [50r]

> Start at <span class="timeUTC">2020-09-03T19:00:00Z</span>

### 
* Chairs: Yael Amsterdamer and Sudeepa Roy

#### Description
The Women in DB Roundtable is a social event dedicated to sharing experiences and discussing ideas with leading women in the field. Topics include important meta-aspects of research such as stages of career and collaborations, as well as issues such as encouraging women to enter and advance in our field and dealing with biases. The discussion is relevant to students and researchers of all career levels, from academia and industry.

<img style="width:400px;" src="/assets/files/VLDB2020-WomenInDB.png">

[Download](/assets/files/VLDB2020-WomenInDB.pdf)

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## Round Table 14 - How should publishing practices evolve? (Day 3, Block 2) [50R]

> Start at <span class="timeUTC">2020-09-03T19:00:00Z</span>

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* Chair: Divesh Srivastava

#### Description
Although being a conference-driven community, our research model has gradually moved to a journal-style publication model with multiple submission cycles and an extensive revision process. While this development proved extremely beneficial, we are still facing a number of challenges like double blind reviewing, forum-based Q&A mechanisms, out-of-scope discussion, different paper length, promoting surveys, etc. This and more will be the topic of our round table!

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## Round Table 15 - Blockchain Developments on Which the Database Community Should be Having Impact (Day 3, Block 3) [55r]

> Start at <span class="timeUTC">2020-09-04T01:00:00Z</span>

### 
* Chair: Hank Korth
* Other members: Mo Sadoghi - UC Davis, Aidan Hyman - founder and CEO, ChainSafe Systems (whose work on Ethereum 2 is funded in part by Vitalik Buterin, the Ethereum creator

#### Description
A discussion aiimed at going beyond blockchain work that is beginning to make an appearance at VLDB (and SIGMOD, ICDE, etc.) to look at developments in the blockchain community itself.  Particular emphasis will be on developments in the public blockchain community, an area that has not been as connected to the DB community. Among the issues discussed will be performance (e.g. via sharding), consensus, consistency, and blockchain access by light clients.

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## Round Table 16 - Graph Databases (Day 3, Block 3) [55R]

> Start at <span class="timeUTC">2020-09-04T01:00:00Z</span>

### 
* Chairs: Xuemin Lin and Arnab  Bhattacharya

#### Description
What are graph databases? What are its advantages and disadvantages? Where is the field progressing towards? What are its challenges? What are some of its success stories?

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