SIGKDD News

ACM SIGKDD invites your nominations for its 2021 Innovation Award, Service Award, and Rising Star Award.

ACM SIGKDD, ACM’s Special Interest Group on Knowledge Discovery and Data Mining (KDD), is the premier global professional organization for researchers and professionals dedicated to the advancement of the science and practice of knowledge discovery and data mining. It established the Innovation and Service Awards to recognize outstanding technical and service contributions to the KDD field. It established the Rising Star Award to promote young KDD researchers as they build up their careers.

Nominations due Friday May 1, 2021

Send your nomination package in one zip file to Bing Liu via email: liub@uic.edu.

ACM SIGKDD Innovation Award

The SIGKDD Innovation Award recognizes one individual or one group of collaborators whose outstanding technical innovations in the field of Knowledge Discovery and Data Mining have had a lasting impact in advancing the theory and practice of the field. The contributions must have significantly influenced the direction of research and development of the field or transferred to practice in significant and innovative ways and/or enabled the development of commercial systems. This award is chosen by the SIGKDD Awards Committee.

The previous SIGKDD Innovation Award winners were Rakesh Agrawal, Jerome Friedman, Heikki Mannila, Jiawei Han, Leo Breiman, Ramakrishnan Srikant, Usama M. Fayyad, Raghu Ramakrishnan, Padhraic Smyth, Christos Faloutsos, J. Ross Quinlan, Vipin Kumar, Jon Kleinberg, Pedro Domingos, Hans-Peter Kriegel, Philip Yu, Jian Pei, Bing Liu, Charu Aggarwal, and Thorsten Joachims.

Eligibility: The nominees can be anyone except the SIGKDD Executive Committee Chair and the members of the SIGKDD Innovation/Service/Rising Star Awards Committee.

Nomination Process:  Anyone in the field can put forward a nomination (self-nominations are excluded). Nominations should include a proposed citation (up to 25 words) and a detailed statement to justify the nomination (500 words or less). The nomination should explicitly indicate the specific nature of the impact. Three or more supporting letters should be submitted. The letters need to address the significance of the contributions cited in the nomination. Recipients of other awards are eligible if the SIGKDD nomination is for different contributions. The nomination and letters should describe the difference and the impact of the new contributions.

Nominations must be received by May 1, 2021, to be considered for this year’s award. Please include a detailed CV for the nominee in the nomination. Nominations that did not result in an award can be resubmitted or updated in subsequent years. The Awards Committee will evaluate all nominations and decide on zero or more winners.

ACM SIGKDD Service Award

The SIGKDD Service Award recognizes one individual or one group for their outstanding professional services contributions to the field of knowledge discovery and data mining. Services recognized include significant contributions to the activities of professional KDD societies and conferences, educating students, researchers and practitioners, funding R&D activities, professional volunteer services in disseminating technical information to the field, and contributions to society at large through applications of KDD.

The previous SIGKDD Service Award winners were Gregory Piatetsky-Shapiro, Ramasamy Uthurusamy, Usama M. Fayyad, Xindong Wu, the Weka team led by Ian Witten and Eibe Frank, Won Kim, Robert Grossman, Sunita Sarawagi, Osmar R. Zaiane, R. Bharat Rao, Ying Li, Gabor Melli, Ted Senator, Jian Pei, Wei Wang, Qiang Yang, Jie Tang, Balaji Krishnapuram, and Michael Zeller.

Eligibility: The nominee(s) can be anyone except the SIGKDD Executive Committee Chair and the members of the SIGKDD Innovation/Service/Rising Star Awards Committee.

Nomination Process: Anyone in the field can put forward a nomination (self-nominations are excluded). Nominations should include a proposed citation (up to 25 words) and a detailed statement to justify the nomination (500 words or less). Three supporting letters should be submitted. The letters need to address the significance of the service contributions cited in the nomination.

Nominations must be received by May 1, 2021, to be considered for this year’s award. Please include a detailed CV for nominee in the nomination. Nominations that did not result in an award can be resubmitted or updated in subsequent years. The Awards Committee will evaluate all nominations and decide on zero or more winners.

SIGKDD Rising Star Award

ACM SIGKDD decided to establish the Rising Star Award starting in 2020. This award is based on an individual’s whole body of work in the first five years after the PhD. The award aims to promote current SIGKDD researchers as they build up their career.

Eligibility: The nominee(s) should have completed all the requirements for the PhD no earlier than December 31, 2015; parental leaves will move the date by the duration of the parental leave. The nominee can be anyone except the SIGKDD Chair and the members of the SIGKDD Innovation/Service/Rising Star Awards Committee.

Nomination Process: Anyone in the field can nominate one person (self-nominations are excluded). Nominations should include a proposed citation (up to 25 words) and a detailed statement to justify the nomination (500 words or less). Three supporting letters should be submitted. Both the nomination and the letters need to address the significance of the contributions in the first five years after the PhD cited in the nomination. The contributions may build on the nominee’s Ph.D. work, but the emphasis should not be put on the continuing impact of the Ph.D. work.

Nominations must be received by May 1, 2021, to be considered for the 2021 award. Please include a detailed CV for the nominee in the nomination. Nominations that did not result in an award can be resubmitted or updated in subsequent years as long as the eligibility conditions for the award still hold. The Awards Committee will evaluate all nominations and decide on zero or more winners.