VLDB 2021: LAST CALL FOR DEMONSTRATIONS (EXTENDED DEADLINE) Demonstration Track of the 47th International Conference on Very Large Data Bases August 16-20, 2021 Copenhagen, Denmark (and online) https://vldb.org/2021/?call-for-demonstrations ------------------------------------------------------------------------ /!\ DEADLINE EXTENSION We have pushed back the deadline for demonstration proposal submissions by ONE WEEK. The new deadline is FRIDAY, MARCH 19, 2021 (5 p.m. PST). ------------------------------------------------------------------------ VLDB 2021 invites submissions for software demonstration proposals on any topic of interest, broadly defined, to the data management community. Software demonstrations are accompanied by short papers which will appear in the PVLDB proceedings upon acceptance. One of the demonstrations presented at the conference will be selected to receive the VLDB 2021 Best Demo Award. Important Dates (Note: Extended Deadline) - Proposal submission deadline: March 19, 2021 (5 p.m. PST) - Notification of acceptance: May 14, 2021 - Camera-ready copy due: June 18, 2021 Demo Proposals The proposal must describe the demonstrated system, and state the novelty and significance of the contribution to data management research, technologies, and/or its applications. The proposal should pay special attention to describing the exact demonstration scenarios for the given system. This should include how the audience will experience the demo, what kind of functionality is supported, user scenarios, interface and interaction options, etc. Proposals must be submitted in camera-ready format and limited to 4 pages, inclusive of ALL material. Formatting guidelines and document templates are available at http://vldb.org/pvldb/vol14-formatting/. Video Submissions Since VLDB 2021 will be held in a hybrid format (attendees will be present in Copenhagen but will also be able to participate online only), we require all accepted demonstrations to be accompanied by a video (of up to 5 minutes, 100 MB max. file size). We would like to encourage authors to already submit a (draft) video with their first CMT submission. Both the demonstration proposal and the video will then be accessible by the reviewers. Your video should summarize your demonstration and also audio-visually highlight its most important aspects, such as the user interface, options for user interactions, the system setup, etc. The video should be submitted in MPEG/AVI/MP4 format and be playable by the common media players. Originality and Duplicate Submissions Note that demonstration proposals must not have been published, or be under consideration for publication, at any other forum. Demonstration proposals should specifically focus on the genuine aspects of the described systems and the intended interaction with the audience; they should not be a short version of an existing conference paper (whether or not this may have been published elsewhere). Conflicts To minimize biases in the evaluation process, we use CMT's conflict management system, through which authors should flag conflicts with the Demo Program Committee members. All authors of a submission must declare conflicts on CMT prior to the submission deadline. You have a conflict with X: - If you and X have worked in the same university or company in the past two years, or will be doing so in the next six months on account of an accepted job offer. Different campuses do not count as the same university for this purpose - If you and X have collaborated recently, as evidenced in a joint publication or jointly organized event in the past two years, or are collaborating now. - If you are the PhD thesis advisor of X or vice versa, irrespective of how long ago this was. - If X is a relative or close personal friend. Submissions with undeclared conflicts or spurious conflicts will be desk rejected. There will be NO exceptions to this rule. Demo Submission Demonstration proposals must be submitted electronically, in PDF format, using CMT. When creating a new paper submission, you will be given the option to choose a track. Choose the "Demo" track for your demo proposal. Once you have submitted your paper, you can add your video submission file in a second step. You will find the VLDB 2021 CMT submission site at https://cmt3.research.microsoft.com/PVLDBv14_2021 Demo Track Chairs Please do not hesitate to approach the co-chairs with questions regarding the VLDB 2021 Demo Track. We are looking forward to your submissions. - Torsten Grust (University of Tuebingen, Germany) torsten.grust@uni-tuebingen.de - Guoliang Li (Tsinghua University, China) liguoliang@tsinghua.edu.cn - Yuanyuan Tian (IBM Research ?Almaden, USA) ytian@us.ibm.com Demo Track PC Members Alvin Cheung, University of California, Berkeley, USA Anja Gruenheid, Google Inc., USA Anna Fariha, University of Massachusetts Amherst, USA Avrilia Floratou, Microsoft, USA Chengliang Chai, Tsinghua University, China Da Yan, University of Alabama at Birmingham, USA Dong Xie, Penn State University, USA Evangelia Sitaridi, Amazon Web Services, USA Felix Schuhknecht, Johannes Gutenberg-University Mainz, Germany Gao Cong, Nanyang Technological Univesity, Singapore George Fletcher, Eindhoven University of Technology, Netherlands Hongzhi Wang, Harbin Institute of Technology, China Hua Lu, Roskilde University, Denmark Ingo Mueller, ETH Zuerich, Switzerland Jana Giceva, TU Munich, Germany Jia Yu, Washington State University, Germany Jianguo Wang, Purdue University, USA Jiannan Wang, Simon Fraser University, Canada Ju Fan, Renmin University of China, China Kai Zeng, Alibaba Group, China Khuzaima Daudjee, University of Waterloo, Canada Knut Stolze, IBM, Germany Laure Berti-Equille, IRD, France Lei Cao, MIT, USA Lukas Rupprecht, IBM Research - Almaden, USA Manuel Rigger, ETH Zurich, Switzerland Mark Raasveldt, CWI, Netherlands Michael Gubanov, Florida State University, USA Ning Wang, Beijing Jiaotong University, China Qun Chen, Northwestern Polytechnical University, China Shuai Ma, Beihang University, China Silu Huang, Microsoft, USA Tarique Siddiqui, Microsoft Research, USA Umar Farooq Minhas, Microsoft Research, USA Vasilis Efthymiou, IBM Research - Almaden, USA Wenjie Zhang, University of New South Wales, Australia Wenlei Xie, Facebook, USA Xiao Qin, IBM Research, USA Xiaokui Xiao, National University of Singapore, Singapore Yeye He, Microsoft Research, USA Yingjun Wu, Amazon Web Services, USA Yongxin Tong, Beihang University, China Zhifeng Bao, RMIT University, Australia