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． ----------------------------------------------------------------------------- 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 ----------------------------------------------------------------------------- *** 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@gmail.com -----------------------------------------------------------------------------