POSTPONED! Double-Distributed Architecture: A Culture-mimetic Approach for Designing Resilient Sustainable Systems

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

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

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.

Re-envisioning the “Seat-Time” Algorithm in Education

Blog Post by Esther Wojcicki mediaX Distinguished Visiting Scholar For more than two decades, groups like George Lucas Foundation, the Buck Institute and Hewlett Foundation have been promoting and supporting project-based learning in schools nationwide.  Many schools and teachers have adopted it, at least in part of their programs. The evidence that it helps students […]

Re-envisioning the “Seat-Time” Algorithm in Education

This panel panel features Esther Wojcicki, Larry Rosenstock and Shelley Goldman who will explore organizational change in the educational context, with a particular focus on adapting definitions of in-school learning to benefit student empowerment.

Algorithms and Analytics: Connecting the Learner and the Learning

Join us October 23, 2019 in CERAS #101 from 8:30am to 4:45pm as experts and members in the mediaX community explore the frontiers of learning algorithms and analytics that connect learners with learning including; Measuring what Matters in Learning, Designing Learning Experiences and Algorithms for Conversation and Developing Metatags for Open Exchange.