Study on the Computer Vision and Machine Learning Research Community

How does working in computer vision and machine learning make you feel?

We are researchers at Indiana University Bloomington in the Luddy School of Informatics, Computing, and Engineering interested in learning how developments and excitement in computer vision and machine learning have affected the community of researchers and practitioners in academia and industry. For example, we have witnessed unprecedented spikes in funding, graduate student enrollment, industry hiring, publications, and conference attendance for computer vision.

We are seeking participants who have experience with computer vision and machine learning, at all levels and in both industry and academia. Your participation would involve:

  • Filling out a very short survey (< 5 minutes) about your background
  • Writing a short story describing a personal, memorable experience you had with the changing landscape of the computer vision or machine learning discipline and/or profession

Your identity will be kept private in any reports where the study may be published.

The data from your stories will help scholars understand the challenges of a rapidly moving profession and its implications for individuals. The findings will inform future studies to improve the well-being of all stakeholders in computer vision and machine learning.

If you are interested in participating, please contact Professor David Crandall at or Professor Norman Makoto Su at for more information.

The IU Computer Vision Lab's projects and activities have been funded, in part, by grants and contracts from the Air Force Office of Scientific Research (AFOSR), the Defense Threat Reduction Agency (DTRA), Dzyne Technologies, EgoVid, Inc., ETRI, Facebook, Google, Grant Thornton LLP, IARPA, the Indiana Innovation Institute (IN3), the IU Data to Insight Center, the IU Office of the Vice Provost for Research through an Emerging Areas of Research grant, the IU Social Sciences Research Commons, the Lilly Endowment, NASA, National Science Foundation (IIS-1253549, CNS-1834899, CNS-1408730, BCS-1842817, CNS-1744748, IIS-1257141, IIS-1852294), NVidia, ObjectVideo, Office of Naval Research (ONR), Pixm, Inc., and the U.S. Navy. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the U.S. Government, or any sponsor.