Rate My Professor Jennifer Widom

Her research spans nontraditional data management, including scalable graph processing, crowdsourcing and human-assisted computation, data provenance and lineage, managing uncertain data, and query processing on data streams. Widom has co-authored key textbooks such as A First Course in Database Systems (1997, 2002, 2008 editions), Database Systems: The Complete Book (2002, 2008 editions), Database System Implementation (2000), and Active Database Systems: Triggers and Rules for Advanced Database Processing (1996). Prominent publications include "Models and Issues in Data Stream Systems" (2002), "SimRank: A Measure of Structural-Context Similarity" (2002), "Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace" (2017), and "Optimal Crowd-Powered Rating and Filtering Algorithms" (2014). She has earned major awards including membership in the National Academy of Engineering (2005) and American Academy of Arts and Sciences (2009), ACM Fellowship (2005), Guggenheim Fellowship (2000-2001), ACM SIGMOD Edgar F. Codd Innovations Award (2007), ACM-W Athena Lecturer Award (2015), and EPFL-WISH Erna Hamburger Prize (2018). Widom developed Stanford's early MOOCs on databases and released prototype software publicly, impacting commercial data management tools, and conducted global workshops during sabbaticals.