Citizen Science: Getting the Best Science from Big Data
Lucy Fortson
University of Minnesota
Citizen science - the involvement of hundreds of thousands of people in the
research process - provides a radical solution to the challenge of dealing
with the greatly increased size of modern data sets. Zooniverse.org is the
most successful collection of online citizen science projects which have
enabled more than 800,000 online volunteers to contribute to over a dozen
research projects. I will describe some of the science results to date
from the Zooniverse collection of online projects, including the original
Galaxy Zoo (Sloan Digital Sky Survey data) and Planethunters.org (data from
NASA's Kepler mission) with a focus on serendipitous discoveries made by
participants. I will then discuss future developments of the Zooniverse
platform in the context of new approaches to machine learning to assess
volunteer behavior with the ultimate goal of producing a system that
can balance classifications from humans and machines in real time. Such
efforts are critical in coping with data from the next generation of
large-scale experiments, including the LSST and SKA.
Date: | Mardi, le 9 avril 2013 |
Heure: | 16:00 |
Lieu: | Université McGill |
| Ernest Rutherford Physics Building, R.E. Bell Conference Room (room 103) |
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