- Home /
- Calls /
- KDD 2018 Call for Workshop Proposals
KDD 2018 Call for Workshop Proposals
The KDD 2018 organizing committee solicits proposals for full-day and half-day workshops to be held in conjunction with the main conference. The purpose of a workshop is to provide an opportunity for participants from academia, industry, government and other related parties to present and discuss novel ideas on current and emerging topics relevant to knowledge discovery and data mining. The workshops will be scheduled on August 20th, 2018.
Each workshop should be organized under a well-defined theme focusing on emerging research areas, challenging problems, and industrial/governmental applications. The goal of the workshops is to provide an informal forum to discuss important research questions and practical challenges in data mining and related areas. Novel ideas, controversial issues, open problems and comparisons of competing approaches are strongly encouraged as workshop topics. In particular, we would like to encourage organizers to avoid a mini-conference format by (i) encouraging the submission of position papers and extended abstracts, (ii) allowing plenty of time for discussions and debates, and (iii) organizing workshop panels.
Organizers have free control on the format, style, and the building blocks of the workshop. Possible contents of a workshop include but are not limited to invited talks, regular papers/posters, panels, and other pragmatic alternatives. In case workshop proposers need extra time to prepare their workshop, early decisions may be considered if justified.
Topics of Interest
Possible workshop topics include all areas of data mining and knowledge discovery, machine learning, statistics, and data and information sciences, but are not limited to these. Interdisciplinary workshops with applications of data mining and data sciences to various disciplines (such as health, medicine, biology, sustainability, ecology, social sciences, humanities, or aerospace) are of high interest. Workshops in emerging areas are also highly sought, examples including Internet of Things, causality, interpretable machine learning, fairness in machine learning, ethical and privacy aspects of data mining, MOOCs, fake news, computational social sciences, cost-sensitive learning and learning from imbalanced data, large scale computing, political data analysis, computational sustainability, interactive and visual analytics, and computational creativity.
Organizers of accepted workshops are expected to announce the workshop and disseminate calls for papers, make and maintain the workshop website, gather submissions, conduct the reviewing process and decide upon the final workshop program. They are also required to prepare an informal set of workshop proceedings to be distributed with the registration materials at the main conference, with a proceedings format template provided by KDD 2018. Workshop organizers may choose to form organizing or program committees aiming to accomplish these tasks successfully.
Note: Workshop papers will not be archived in the ACM Digital Library. However, workshop organizers may set up any archived publication mechanism that best suits their workshop.
The proposal should contain the following information:
- The NAMES, AFFILIATIONS, and SHORT BIOS of all the organizers
- The MAIN CONTACT organizer’s e-mail and telephone number
- The TITLE of the workshop
- A maximum of three paragraphs that describe the TOPIC of the workshop, its target AUDIENCE, and its RELEVANCE to SIGKDD
- One paragraph MOTIVATING the workshop (why we should organize it NOW in conjunction with KDD 2018)
- Tentative names of invited speakers, reviewers, and panelists (where appropriate)The desired LENGTH of the workshop: full-day (~8 hours) or half-day (~4 hours)
- Tentative PROGRAM SKETCH, including tentative descriptions of all workshop components (panels, discussion sessions, poster sessions, invited talks, etc.)
- If you wish to deviate from the suggested deadlines below (see “Deadlines and Dates”, a tentative TIMELINE and motivation for why the suggested deadlines are not suitable.
- For workshops previously held at KDD or other conferences, details on venue, attendance and number of submissions/accepted papers from past editions
- For new workshops, a list of possible attendees/submissions and/or a justification of the expected attendees/submissions
Workshop proposals should be emailed to email@example.com by Friday February 23 2018 at 11:59PM Alofi Time.
Deadlines and Dates
Workshop proposal dates:
- Workshop proposal submissions: February 23, 2018
- Workshop proposal notifications: March 16, 2018
Suggested workshop paper submission dates:
For consistency, all workshop deadlines should be set at 11:59 PM Pacific Standard Time. Furthermore, unless impractical and clearly motivated, all workshops should adhere to the following deadlines for their paper submissions and notifications.
- Workshop paper submissions: May 8, 2018
- Workshop paper notifications: June 8, 2018
Practical workshop organization dates:
- Workshop Website and CFP: March 23, 2018
- Notifications to Workshop Chair (number of papers and acceptance rate): June 18, 2018
- Final submission of workshop program and materials and full workshop websites online: June 29, 2018
- Workshop date: August 20, 2018
Save the Date
KDD 2018 - London, United Kingdom. 19 - 23 August 2018
The annual KDD conference is the premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.
How can we assist you?
We'll be updating the website as information becomes available. If you have a question that requires immediate attention, please feel free to contact us. Thank you!
If you are experiencing any issue related to registrations (confirmation, payment problem etc.) or have any questions regarding registrations, please do not submit this form. Please send an email to Kelly Hughes (firstname.lastname@example.org) or call 1.888.526.1242 or 303.530.4683.
Please enter the word you see in the image below: