POSTPONED! Double-Distributed Architecture: A Culture-mimetic Approach for Designing Resilient Sustainable Systems
April 14, 2020
In accordance with the new Stanford University policy aimed at stopping the spread of COVID-19 (coronavirus), this seminar is currently postponed. We hope to reschedule for a later date. If a new date is available we will announce it in the near future.
Designing In-situ Interaction with Ubiquitous Robots
January 31, 2020
Lawrence Kim is a PhD candidate in Mechanical Engineering at Stanford University where he is advised by Sean Follmer. His research lies at the intersection of human-computer interaction, robotics, and haptics with a focus on studying the interaction with multi-robot systems. He has received best paper and best paper honorable mention awards at CHI and UIST, and a Fast Company's honorable mention award in Innovation by Design. He is also a recipient of a Samsung Scholarship.
Research at the Service of Free Knowledge
January 24, 2020
Leila Zia is a Principal Research Scientist and the Head of the Research team at the Wikimedia Foundation, the foundation that operates Wikipedia and its sister projects. Her research interests include quantifying and addressing the gaps of knowledge in Wikipedia and Wikidata, understanding Wikipedia's readers, and studying the contributor diversity on Wikimedia projects. She received her PhD from Stanford University in Management Science and Engineering.
A New Lens Opens on the Impacts and Promises of Digital Media
mediaX Faculty Advisor Emeritus Byron Reeves leads a study that captures millions of screenshots in hopes of transforming our understanding of everything from fake news to depression.
New Research Projects Focus on Rationalizing Human Learning Experiences
Three innovative projects with great potential for long-lasting impact on learning sciences have been funded by mediaX at Stanford University.
mediaX Thought Leader Helps Find That Search Results Are Not Biased Along Party Lines
In an audit of search media results for every candidate running for federal office in the 2018 U.S. election, Professor Jeff Hancock found no evidence of political bias for or against either party.
Watch Algorithms and Analytics: Connecting the Learner and the Learning Presentations
Relive the presentations as we examine which indicators of learning are most meaningful, which can be used ethically in algorithms for personalized learning and for learning at scale, and how data can be tagged for open exchange.
Intelligent Agents, the Knowledge Graph and Open Data for Learning
Mark Musen is Professor of Biomedical Informatics at Stanford University, where he is Director of the Stanford Center for Biomedical Informatics Research. Dr. Musen conducts research related to intelligent systems, reusable ontologies, metadata for publication of scientific data sets, and biomedical decision support. His group developed Protégé, the world’s most widely used technology for building […]
Processed-based Assessments: Analyzing Critical Thinking, Decision Making, Collaboration
Janine Zacharia was Jerusalem Bureau Chief and Middle East Correspondent for the Washington Post from December 2009 through April 2011. During her time at the Washington Post, she reported widely throughout the Middle East beyond Israel, the West Bank and Gaza Strip, including assignments in Egypt, Jordan, Lebanon, Iraq, Bahrain, Saudi Arabia, the UAE and […]