SIGKDD Awards

ACM SIGKDD is pleased to announce that Lilsa Getoor is the winner of its 2024 Innovation Award. Lise Getoor is Distinguished Professor of Computer Science and Jack Baskin Chair of Computer Engineering at University of California, Santa Cruz. Her research is in the areas of machine learning, artificial intelligence, and probabilistic reasoning – making decisions in situations of uncertainty. She works with graph-structured, semi-unstructured and unstructured data sets to create and employ statistical models. Her research mixes tools from different areas of computer science to deal with the challenges of incompleteness, uncertainty, and bias in data.

Getoor is also an advocate for ethics and responsible data science, addressing both the technical and societal implications of emerging data science technology. This work tackles issues of privacy and bias in new and powerful algorithmic tools. She is considered a leader in this field and has convened groups and given multiple keynote talks at various conferences on the subject.

The ACM SIGKDD Innovation Award is the highest award for technical excellence in the field of Knowledge Discovery and Data Mining (KDD). It is conferred on one individual or one group of collaborators whose outstanding technical innovations in the KDD field 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.