Description KDD is the premier Data Science conference. We invite original technical research contributions in all aspects of the data science lifecycle including but not limited to: data cleaning and preparation, data transformation, mining, inference, learning, explainability, data privacy, and dissemination of results. Technical data science contributions that advance United Nations Sustainable Development Goals (SDGs) are also encouraged. This year we are also inviting paper submissions that are at the intersection of data science and society as part of the research track. Data Cleaning and Preparation Data Transformation and Integration Mining, Inference, and Learning Explainability Data Privacy and Ethics Model Dissemination Data Science and Society