Michael Bernstein (Stanford University) speaks at the Feb. 2017 Data on Purpose / Do Good Data conference “From Possibilities to Responsibilities” presented by Stanford Social Innovation Review and the Digital Civil Society Lab at the Stanford Center on Philanthropy and Civil Society. For more information on the conference, visit ssirdata.org.
The nature of collaboration is being reshaped by computational systems, which increasingly draw on the web to motivate and direct peoples’ behavior at scale. Today, these crowdsourcing systems have successfully synthesized many amateurs’ efforts to recreate an expert’s abilities. However, across domains from design to engineering to art, few goals are truly the effort of just one person — even one expert. How might computation coordinate many peoples’ diverse abilities toward far more complex and interdependent goals?
In his talk, Bernstein presents systems for gathering and guiding crowds of experts, including professional programmers, designers, singers and artists. The resulting collectives tackle problems modularly and at scale, dynamically grow and shrink depending on task demands, and combine into larger organizations. Bernstein demonstrates how crowd collectives can pursue goals such as designing new user experiences overnight, producing animated shorts in two days, and even pursuing novel research.
View slides from this session at http://bit.ly/2ltL94l.