I joined the Computer Science Department at Colorado University, Boulder as an Associate Professor. I am looking for postdoctoral researchers, Ph.D. students, master students, and pre-doctoral students to work on a broad range of projects. If you are interested, please send an email to daniel.acuna@colorado.edu.

Daniel Acuña is an Associate Professor in the Department of Computer Science at the University of Colorado at Boulder. He leads the Science of Science and Computational Discovery Lab. He works in science of science, a subfield of computational social science, and A.I. for science. He writes papers and builds web-based software tools to accelerate knowledge discovery.

Daniel’s research aims to understand historical relationships, mechanisms, and optimization opportunities of knowledge production. Daniel harnesses vast datasets about publications and citations and applies Machine Learning and A.I. to uncover rules that make publication, collaboration, and funding decisions more successful. Recently, he has been interested in biases in artificial intelligence and developing methods for detecting them. In addition, he has created tools to improve literature search, peer review, and detect scientific fraud. He has been funded by NSF, DDHS, Sloan Foundation, and DARPA through the SCORE project, and his work has been featured in Nature News, Nature Podcast, The Chronicle of Higher Education, NPR, and the Scientist.

In addition to his research, Daniel enjoys building communities around science of science and research integrity. He co-organizes the Science of Science Summer School (S4), the Computational Research Integrity (CRI-CONF) conference, and the Computational Research Integrity competitions. In addition, he is part of the ACM’s Diversity, Equity, and Inclusion (DEI) council, contributing to the social justice initiative on publications, awards, and peer review.

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. Daniel was born in Santiago, Chile, where he attended the University of Santiago.

Daniel leads the Science of Science and Computational Discovery Lab and his coordinates are:

Daniel Acuna
Visiting Associate Professor

University of Colorado at Boulder
Boulder, CO 80309

Selected publications

Recently funded projects

  • PI: Daniel E. Acuna, DDHS: Office of Research Integrity: (Conference grant) Computational Research Integrity Conference (CRI-CONF 2022), 9/1/2021 - 8/31/2022
  • PI: Daniel E. Acuna: US’s Office of Research Integrity: Large-scale High-Quality Labeled Datasets and Competitions to Advance Artificial Intelligence for Computational Research Integrity, 10/01/2020 - 09/01/2022
  • co-PI: Daniel E. Acuna, PI: David Popp (Maxwell School) Sloan Foundation: Does government funding change what you do? The effects of funding on the direction and impact of academic energy research, 6/1/2020 - 5/30/2022
  • 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 - 9/30/2022
  • PI: Daniel E. Acuna, DDHS: Office of Research Integrity: (Conference grant) Computational Research Integrity Conference (CRI-CONF), 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 - 8/31/2021
  • 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 - 6/30/2022




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