[dbjapan] DataEd 2022: データシステムの教育に関するワークショップのCFP(SIGMOD 併設WS)

[makoto onizuka <onizuka [at] ist.osaka-u.ac.jp>]

データベース学会の皆様，

阪大の鬼塚です．

データシステムの教育に関する第1回ワークショップ DataEd の
call for paper を送ります．SIGMOD2022 併設ワークショップです．

投稿締め切りは the end of March 11, 2022 (AoE)で，
注目のキーノート発表は2件が予定されています．
> keynote speakers Julia Stoyanovich (NYU) and Kathi Fisler (Brown 
University)

関係する研究者の方はご投稿いただけますよう，よろしくお願いいたします．

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Call for submissions

DataEd 2022
International workshop on data systems education: bridging education 
practice with education research.

In conjunction with SIGMOD 2022, June 12-17, Philadelphia, PA, USA.

Workshop website: https://dataedinitiative.github.io
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*** Focus and purpose of the DataEd 2022 ***

Data systems education is foundational in a variety of programs such as 
computer science, data science, and information systems and science. 
And, indeed, data management concepts are both timely and timeless in 
our increasingly data-driven world.  A continual focus since the 1970’s 
in the database research community is the place in curricula and best 
practices for teaching data systems concepts. This important 
conversation is particularly lively in recent years given the rise of 
data science. There is also a long tradition in the Computer Science 
Education research community on investigations into how students learn 
data systems concepts. With the increasing focus on data in the past 
decade, there is renewed focus on data systems in education research.

Both the DB and CS Education communities, and adjacent communities, 
e.g., in Statistics Education,  have complementary perspectives and 
experiences to share with each other.   There is much to be gained by 
bringing the communities more closely together: to share findings, to 
cross-pollinate perspectives and methods, and to shed light on 
opportunities for mutual progress in data systems education. The DataEd 
workshop is a dedicated venue for these communities to come together, 
for presentation and discussion of data management systems education 
experiences and research.

*** Submissions ***

Contributions are welcome in the broad area of data systems education: 
the teaching and learning of databases/data management/data systems 
topics, ranging across the whole field, from classical topics (such as 
physical design, query optimization, data modeling, data integration, 
visual analytics, and query languages) to contemporary topics (such as 
ML & AI for data management systems, data management for ML & AI, very 
large data science applications/pipelines, and responsible data management).

The workshop solicits three kinds of submissions: Research and Research 
Proposal Papers, Experience Reports, and Artifact Papers. Contributions 
of all types should be up to 5 pages in length (excluding references, 
which have no page limit) in the standard ACM Proceedings Format, with 
shorter submissions (2 pages in length) being encouraged.  Paper 
submissions are due by the end of March 11, 2022 (AoE).  Pending 
approval, all papers will be published in the ACM Digital Library.  
Further details can be found on the DataEd 2022 website.

*** Format of the Workshop ***

DataEd 2022 will be a full day workshop consisting of keynote talks, 
paper presentations & discussion, an industry panel discussion, and a 
poster social session.   We are thrilled to have as our keynote speakers 
Julia Stoyanovich (NYU) and Kathi Fisler (Brown University).   An 
exciting panel discussion on industry perspectives on education and 
training for emerging roles in data will be organized by Juan Sequeda 
(data.world).

*** Organizers ***

Fenia Aivaloglou, University of Leiden.
George Fletcher, Eindhoven University of Technology.
Daphne Miedema, Eindhoven University of Technology.

*** Advisory Board ***

Michelle Hoda Wilkerson, University of California, Berkeley.
Zachary Ives, University of Pennsylvania.
Shriram Krishnamurthi, Brown University.
Juan Sequeda, data.world.
Julia Stoyanovich, NYU.

For further details, please see the DataEd website at 
https://dataedinitiative.github.io or contact the organisers at 
dataedinitiative [at] gmail.com
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