I serve as a member of the National Science Board (2024-2030) whose mandate is to recommend and encourage the pursuit of national policies for the promotion of research and education in science and engineering.
I am Co-Director of the Stanford AI Index, working on the annual Department of Computer Science and in the Spatial Sciences Institute at USC.
Before coming to ISI in 1992, I received my PhD in Computer Science from Carnegie Mellon University. My thesis focused on the acquisition of planning knowledge through the formulation of deliberate experiments with the environment. I have always been fascinated with the challenge of enabling computers to learn new knowledge both autonomously and from being taught.
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I was President of the Association for the Advancement of Artificial Intelligence (AAAI) (2018-2020) and member of the AAAI Executive Committee for six years. AAAI is the foremost international scientific society for AI. AAAI sponsors several conferences, including AAAI, IAAI, EAAI, AIIDE, and numerous workshops and symposia. It also organizes educational activities, competitions that test AI systems, and a range of other activities that support the AI community. One of the most fun things I did for AAAI is be a judge at the International Science and Engineering Fair (ISEF) where students from many countries present science projects that many times include some aspects of AI. These young researchers develop amazing projects and are incredibly inspiring!
I was elected Chair of the Special Interest Group in Artificial Intelligence (SIGAI) of the Association for Computing Machinery for two terms (2010-2016) and served as Past-Chair unitl 2019. Among other things, we started the AI Matters magazine and the Career Network and Conference for early career researchers in AI. SIGAI supports the AI community with activities ranging from conference sponsorship, student fellowships, research awards, and publications management in the ACM Digital Library.
I was chair of the Incubator Group on Provenance, which is part of the Semantic Web Activity at the World Wide Web Consortium. Provenance refers to the sources, entities, and processes involved in creating or delivering an artifact. Provenance is a topic of great interest in a variety of contexts including eBusiness, eGovernment, eScience, copyright and licensing, and linked data in the semantic web. The wiki contains several reports produced by the group, including its Final Report. I was involved in the follow-on W3C Provenance Working Group that led to the PROV standard.
I was Director of the Data Science Program at USC until 2024, when the program marked its 10 year anniversary in 2024 with more than 1,000 students (undergraduate and graduate).
I was also Director of the USC Center for Knowledge-Powered Interdisciplinary Data Science (CKIDS). The center held DataFest, a recurring semester-long event where students from different backgrounds and programs get hands-on experience in faculty-guided projects involving data science.
I designed an innovative course for teaching data science to non-STEM students. I used to teach that class at USC as DSCI549. You can see the class syllabus and several papers about the design of the curriculum.
Last updated: December 26, 2024