Information Management via CrowdSourcing

CrowdSourcing uses human intelligence to solve tasks that are simple for humans but difficult for computers. CrowdSourcing can also use humans as sources of valuable information, for example, to exploit the “wisdom of the crowd.”

This presentation provides an overview of the CrowdSourcing work we are doing in the Stanford InfoLab. It describes DeCo, a database system that seamlessly gives access to traditional data as well as to crowd information. You will also learn about some crowd algorithms, where a computer orchestrates human tasks that solve a larger problem.

Speaker Details

Hector Garcia-Molina is the Leonard Bosack and Sandra Lerner Professor in the Departments of Computer Science and Electrical Engineering at Stanford University. From August 1994 to December 1997 he was the Director of the Computer Systems Laboratory at Stanford. From 1979 to 1991 he was on the faculty of the Computer Science Department at Princeton University. His research interests include distributed computing systems and database systems. He received a PhD from Stanford University in 1979. Garcia-Molina is a Fellow of the ACM and also the 1999 recipient of the ACM SIGMOD Innovation Award (The SIGMOD Innovation Award is given for innovative contributions to the development or use of database systems and databases. The contributions must have been reduced to practice and adopted widely in significant use).

Date:
Speakers:
Hector Garcia-Molina
Affiliation:
Stanford University