This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) to The Adler Planetarium in Chicago, IL provides $276,648 over 2 years to investigate strategies that combine human and machine attention for improving human-machine collaboration in analyzing large, complex datasets for citizen science projects.
The project aims to: 1) Optimize the classification efficiency of known object classes, including rare classes, across multiple data domains and task types, by leveraging human and machine learning techniques; and 2) Increase the efficiency of detecting scientifically interesting anomalies beyond statistically inferred ones, again by integrating human and machine capabilities. The research will be implemented on the open-source Zooniverse citizen science platform to benefit its nearly 3 million participants. The work is expected to underpin the human-machine infrastructure required to enable multiple research disciplines to make effective use of growing volumes of data.
Generated 3/4/25, 4:45 AM