This volume highlights recent advances in data science, including graph regularization of high dimensional data, tensor tools for multiway data, inferences on incomplete and multi-modal data, spatial-temporal dynamics modeling in networks, statistical topological learning algorithms, user anonymity, and data privacy. The contributions are based on discussions from the second Women in Data Science and Mathematics (WiSDM) Research Collaboration Workshop that took place between July 29 and August 2, 2019 at the Institute for Computational and Experimental Research in Mathematics (ICERM) in Providence, Rhode Island. These submissions, created by working groups at the conference, form a valuable source for readers who are interested in ideas and methods developed in interdisciplinary research fields. The book features ideas, methods, and tools developed through a broad range of applications, ranging from medical and health science to networking. It also presents original results tackling real-world problems that often involve complex data analysis. weiterlesen