Daniel Ernesto Acuña is an Assistant Professor in the School of Information Studies at Syracuse University, Syracuse, NY. The goal of his current research is to understand decision making in science—from helping hiring committees to predict future academic success to removing the potential biases that scientists and funding agencies commit during peer review. To achieve these tasks, Dr. Acuna harnesses vast datasets about scientific activities and applies Machine Learning and A.I. to uncover rules that make publication, collaboration, and funding decisions more successful. Simultaneously, he has created tools to improve literature search, peer review, and detect scientific fraud. He has grants from NSF, DDHS, and DARPA and his work has been featured in Nature Podcast, The Chronicle of Higher Education, NPR, and the Scientist.

Before joining Syracuse University, Acuña studied a Ph.D. in Computer Science at the University of Minnesota, Twin Cities and was a postdoctoral researcher at Northwestern University and the Rehabilitation Institute of Chicago. During his graduate studies, he received a NIH Neuro-physical-computational Sciences (NPCS) Graduate Training Fellowship, NIPS Travel Award, and a CONICYT-World Bank Fellowship

Selected publications

Current projects

  • co-PI: Daniel E. Acuna, co-PI: Stephen David (Oregon) NSF-SciSIP: Collaborative Research: Social Dynamics of Knowledge Transfer Through Scientific Mentorship and Publication, 10/1/2019 - 9/30/2021
  • PI: Daniel E. Acuna, DDHS: Office of Research Integrity: (Conference grant) Computational Research Integrity Conference (CRI-CON), 9/1/2019 - 8/31/2020
  • PI: Daniel E. Acuna, DDHS: Office of Research Integrity: Human-centered automatic tracing, detection, and evaluation of image and data tampering, 9/1/2019 - 8/31/2020
  • PI: Daniel E. Acuna, DDHS: Office of Research Integrity: Methods and tools for scalable figure reuse detection with statistical certainty, Award ORI2018000296, 8/1/2018 - 7/31/2020
  • PI: Daniel E. Acuna, co-PIs: Konrad Kording (UPenn), James Evans (U of Chicago) NSF-SciSIP: Optimizing Scientific Peer Review, Award #1800956, 7/1/2018 - 6/30/2021


Upcoming travel

  • June 23 - 15, 2020 Computational Research Integrity Conference 2020, Washington, DC
  • January 27 - 30, 2020 ACM FAT Conference Barcelona, Spain

News archive

Past travels