WSDM (pronounced “wisdom”) is one of the premier conferences on web-inspired research involving search and data mining. WSDM 2022 will take place online on February 21-25 2022. The Conference and Program Chairs invite all those working in areas related to search and data mining on the Web and the Social Web to submit original proposals for system demonstrations at the conference.

WSDM demonstrations let you present first-hand experience of novel research prototypes or operational systems, promote your work to leading members of the research community, exchange ideas gained from implementing systems with leading researchers, and obtain direct feedback from expert users and industry practitioners. A paper describing each accepted demonstration will be included in the conference proceedings.

A good submission would be of interest to active researchers in search and data mining on the Web and the Social Web, who should see its value even when they cannot attend the demonstration at the conference. The submission should both describe and demonstrate a novel solution to an existing or new problem. This can be motivated and evaluated through a literature review, a task or a case study. A demonstration submission should address questions such as: What problem does your system seek to address? Who are the target users? How does the submission demonstrate your solution? What will your demonstration actually show and how does it work? How does it compare with existing systems? How, where and when will your technology have a technical or commercial impact?

Demonstration submissions are welcome in any of the areas related to aspects identified in the WSDM 2022 Call for Contribution. They are encouraged as extensions of papers submitted to WSDM 2022 or published in previous years, and these references should be made explicit in the submission. Furthermore, the authors should make sure that there is minimal overlap with the paper that is being extended. Submissions will be reviewed by the Demonstrations Program Committee, who will evaluate the novelty of the technical features being demonstrated, the challenges in producing such a system, its expected impact, and its timeliness and relevance for the WSDM audience of practitioners and researchers. Submissions that describe case studies will also be evaluated on the importance of the case, and its relevance for other potential cases.

Submission Guidelines

Submissions of demonstration papers must be in English and in PDF format according to the ACM guidelines and style files to fit within 4 pages including any diagrams, appendices, and references. Submissions that are over the 4-page limit and incomplete submissions will be rejected without review. Unlike regular paper submissions in WSDM, authors of demonstration submissions are not expected to conceal their identity from reviewers.

Papers should be submitted electronically via the EasyChair WSDM2022 demo paper submission site. At least one author of each accepted demonstration must register and attend the conference.

Demo papers will be published as part of the WSDM 2022 proceedings. Therefore, they must be considered “archival”, and must not have been published or be under consideration for publication at a different venue with archival proceedings. Authors should carefully go through ACM’s authorship policy before submitting a paper.

Logistics

Wireless network access, along with a table and poster mount backdrop, will be provided for all accepted demonstrations. If you have any additional practical requirements, please direct your request to the demonstration session chairs after the demonstration paper is accepted.

Important Dates

Demonstrations DueSeptember 24, 2021​
Demonstrations NotificationsNovember 19, 2021
Demo Day February 22, 2021

All deadlines are 11:59pm, anywhere in the world.

Program Committee

Lin Li
MIT Lincoln Lab
Athanasios N. Nikolakopoulos
Amazon
Shenghua Liu
Chinese Academy of Sciences
Kijung Shin
Korea Advanced Institute of Science and Technology
Minsuk Kahng
Oregon State University
Hemank Lamba
Carnegie Mellon University
Diego Silva
Universidade Federal de São Carlos
Anna Sapienza
Technical University of Denmark
Panagiotis Mandros
Max Planc Institute for Informatics
Shaden Smith
University of Minnesota
Mark Heimann
Lawrence Livermore National Laboratory
Kai Shu
Illinois Institute of Technology
Lin Zhang
Univeristy at Albany
Xiaowei Jia
University of Pittsburgh
Nina Hubig
Clemson University
Sucheta Soundarajan
Syracuse University
Bijaya Adhikari
University of Iowa
Homa Hosseinmardi
University of Pennsylvania
Ekta Gujral
University of California, Riverside
Manoj Chinnakotla
Microsoft
Dhivya Eswaran
Amazon