Michael Bernstein · Stanford University
Crowds, networks, and data as catalysts for interactive systems

What would it take to crowdsource a symphony? By tying together opportunities in crowdsourcing, social computing and data mining, I will demonstrate how large-scale participation opens up opportunities in crowdsourcing, personalization, and long-tail design. I will begin with a vision for the future of crowd work, motivated by the question: can we design a future for crowd work that we're proud of sending our children into? Second, I will present the design of social computing systems as catalysts for crowds that would be otherwise quite difficult to gather. Finally, I will demonstrate how user traces from crowd data can allow us to create experiences that capture thousands of user goals a designer might not have envisioned.

Bio: Michael Bernstein is an Assistant Professor of Computer Science at Stanford University, where he is a member of the Human-Computer Interaction group and a Robert N. Noyce Family Faculty Scholar. His research in human-computer interaction focuses on the design of crowdsourcing and social computing systems. This work has received Best Paper awards and nominations at premier venues in human-computer interaction and social computing (ACM UIST, ACM CHI, ACM CSCW, AAAI ISWSM). Michael was awarded the George M. Sprowls Award for best doctoral thesis in Computer Science at MIT. He holds Ph.D. and masters degrees in Computer Science from MIT, and a B.S. in Symbolic Systems from Stanford University.