日本データベース学会の皆様 筑波大学の森嶋です．第5回HMDataへのご投稿のご案内です ポイント： - Lora Aroyo (Google) がKeynote - Human-in-the-loop & Data に関する幅広いスコープ - IEEE Xplore, DBLPに掲載されます． - Work-in-Progress Paper もOK 以上よろしくお願い申し上げます．10月1日〆切ですが おそらく若干伸びます． 森嶋厚行 ====================================== The fifth IEEE Workshop on Human-in-the-Loop Methods and Future of Work in BigData (HMData 2021) co-located with IEEE Bigdata 2021 (online) Dec.15th (Planned) https://humanmachinedata.org ====================================== Overview HMData workshop, which originally started as the "Human-Machine collaboration in BigData" workshop, will investigate the opportunities and challenges in human machine collaboration in work with bigdata, which are described by two terms: Human-in- the-Loop Methods and Future of Work. Human-in-the-Loop is a term focusing on the employer's viewpoint while Future of Work focuses more on worker's viewpoint, in both of which the division of labor among humans and machines is a key issue. This area is likely to be heavily AI driven, and we intend to invite papers covering the following aspects, (a) Capturing human capabilities through intelligent models and how to adapt them through changing perceptions, needs, and skills. (2) High Level tools that provide the ability for all stakeholders in the new ecosystem, including regulators for policies and AI workers, to specify their requirements. (3) system design and engineering of job platforms for collection, storage, retrieval, and analysis of data deluge about workers, jobs, and their activities. (4) Benchmarking and the development of appropriate metrics to measure system performance as well as human aspects, such as satisfaction, capital advancement, and equity. We welcome any interesting ideas and results on any relevant topics, but we also encourage submitting papers on new projects inspired by the COVID-19 crisis, such as those on human-in-the-loop solutions in the pandemic, those on re-evaluating how we organize labor and how we share work with machines in the future. To make the workshop an attractive place for those people, we solicit practitioner papers as well as research papers, in order to facilitate discussion among researchers who know solutions and practitioners who know problems. We also would like to make the place valuable for young researchers. All papers accepted for the workshop will be included in the Workshop Proceedings published by the IEEE Computer Society Press, made available at the Conference. ---------------------------------------------------------------------- Topics This workshop covers a wide range of topics of human-machine collaboration in work with bigdata. Keywords include: crowdsourcing, collaborative recommendation, crowdsensing, workflow model for humans and machines, incentives, human-assisted bigdata analysis, bigdata-human interaction, human-machine collaboration in real-world applications (such as natural disaster response, education, and citizen science), and ELSI in Human-in-the-loop systems and Future of Work. We expect submissions to address some of the following issues: - capturing human characteristics and capabilities, - stakeholder requirement specification, - social processes around the human-in-the-loop systems, - platforms and ecosystems, - computation capabilities, and - benchmarks and metrics for human-in-the-loop systems and Future of Work ----------------------------------------------------------------------- Keynote Lora Aroyo (Google) Bio: Lora Aroyo is a Full Professor in Computer Science, currently working as a visiting research faculty at Google, NYC. Previously she was a visiting scholar at the Columbia Data Science Institute at Columbia University, New York. She is also Chief of Science for a NY-based startup Tagasauris, which works on hybrid machine learning and human-assisted computing strategies to enrich multimedia (e.g. video, images, and text) with meaningful information about its content, and ultimately improve video search and discovery. Lora is an active member of the Human Computation, User Modeling & Semantic Web communities. She is president of the User Modeling community UM Inc, which serves as a steering committee for the ACM Conference Series “User Modeling, Adaptation and Personalization” (UMAP) sponsored by SIGCHI and SIGWEB. She is also a member of the ACM SIGCHI conferences board. Since 2010 she has actively worked towards shaping the concept of “User-Centric Data Science“, which ultimately led to the forming of and heading the User-centric Data Science group at the Department of Computer Science, Vrije Universiteit Amsterdam, The Netherlands. As an expert in user-centric data science, Lora conceived the vision of an user-centric experimental lab for computer science researchers at the VU University Amsterdam. She headed the team that made it possible in 2010 to open VU INTERTAIN Lab – the first of its kind in an academic environment. Throughout her carrier, Lora was a principal investigator of a large number of research projects, she organized conferences, workshops, and tutorials to bring together methods and tools from human computation, linked (open) data, data science & human-computer interaction with the goal of building hybrid human-AI systems for augmenting both machine and human intelligence for understanding text, images, and videos with humans-in-the-loop and machines-in-the-loop. Her research projects focussing on semantic search, recommendation systems, personalized access to online multimedia collections have a major impact and established her as a recognized leader in human computation techniques for specific domains, such as digital humanities, cultural heritage, and interactive TV. ------------------------------------------------------------------------- Important Dates (Tentative) Oct 1 (Fri), 2021: Due date for workshop papers submission Nov 1 (Mon), 2021: Notification of paper acceptance to authors Nov 20 (Sat), 2021: Camera-ready of accepted papers Dec 15-18 (Wed-Sat), 2021: Workshops ------------------------------------------------------------------------ Submission All submissions must be submitted electronically through CyberChair. Please prefix your submission category such as [Research Paper] to the Title of Paper field in the submission page. For example, if you would like to submit a project-in-progress paper "Crowd-centric Approach to Digital Archive Maintenance," You have to put "[project-in-progress paper] Crowd-centric Approach to Digital Archive Maintenance" into the Title of Paper field. All papers accepted for the workshop will be included in the Workshop Proceedings published by the IEEE Computer Society Press, made available at the Conference. -------------------------------------------------------------------------- Submission Categories Research Papers (*) (long presentation): They report significant and original results relevant to the scope of this workshop. We solicit innovative or thought-provoking work but they do not necessarily have to reach the level of completion. The expected length is between 4 and 6 pages. The maximum length is 10 pages, though the paper should be commensurate with the size of the contribution. Practitioner papers (*)(long presentation): They present interesting problems that require human-in-the-loop solutions in a variety of application domains, or present the interesting results of applying existing human-in-the-loop solutions to their domains. The expected length is between 4 and 6 pages. The maximum length is 10 pages, though the paper should be commensurate with the size of the contribution. Project-in-progress papers (short presentation): They present the goals, challenges, and preliminary results of research or real-world projects in progress. The maximum length is 3 pages. (*) Some of the papers submitted to the research or practitioner paper categories may be accepted as project-in-progress papers and allotted to short presentation slots. Format Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines in the IEEE Bigdata 2021 CFP page ------------------------------------------------------------------------- Organization Chairs Senjuti Basu Roy (NJIT) Alex Quinn (Pardue University) Atsuyuki Morihsima (Univesity of Tsukuba) Program Committee TBA Contact hmdata.chairs@gmail.com -------------------------------------------------------------------------- -- Atsuyuki Morishima <morishima-office@ml.cc.tsukuba.ac.jp> (CAUTION: I usually miss emails sent to mori@slis.tsukuba.ac.jp.) (注意：mori@slis.tsukuba.ac.jp宛のメールは読み落としが多いです) Faculty of Library, Information and Media Science Assistant Dean, Graduate School of Library, Information and Media Studies Center for Artificial Intelligence Research, University of Tsukuba Graduate School of Comprehensive Human Sciences https://fusioncomplab.org/people/atsuyuki/ JST CREST CyborgCrowd Project http://crowd4u.org/ja/projects/crest-cyborgcrowd The Crowd4U Initiative http://crowd4u.org ISeee Project http://crowd4u.org/projects/iseee <iframe width="1024" height="576" src="https://www.youtube.com/embed/T7YB96faCxI" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>