• 274 Citations
  • 8 h-Index
20052021
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Personal profile

Professional Information

Dr. Acuna studied a Ph.D. in Computer Science at the University of Minnesota, Twin Cities. During his graduate studies, he was part of the Center for Cognitive Sciences in the Department of Psychology and received a NIH Neuro-physical-computational Sciences (NPCS) Graduate Training Fellowship from the Department of Neuroscience. He additionally received the support of a CONICYT-World Bank fellowship and a travel award from the Neural Information Processing Systems (NIPS) 2008 conference. During his postdoctoral studies at the Rehabilitation Institute of Chicago and Northwestern University, Dr. Acuna gave multiple invited plenary talks and was interviewed by Nature Podcast, The Chronicle of Higher Education, NPR Science Friday, and The Scientist. Amazon AWS and Microsoft Azure have generously supported his big data analytics work with three academic computational credit awards.

Research interests

Since his Bachelor studies in Computer Science at the University of Santiago, Chile, Dr. Acuna has had a long interest in understanding human decision making and mimicking human semi-optimal strategies with algorithms. His long-term goal is to teach computers to learn from humans and enhance human decision making through the use of Machine Learning and Artificial Intelligence. As a postdoctoral researcher at the Rehabilitation Institute of Chicago and Northwestern University, Dr. Acuna studied machine learning, statistical decision theory, and the neural basis of learning.

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 (http:/scholarfy.net), peer review (http://pr.scienceofscience.org), and modeling of scientific expertise (http://map.scienceofscience.org). Dr. Acuna imagines a future in which humans and A.I. agents seamlessly cooperate to make science more agile and accurate.

Daniel enjoys making contributions to the open source Data Science community, often creating his own packages and tools (https://github.com/daniel-acuna). For example, he recently gave a talk to the Chicago Python User Group, where he shared his views with over 80 professional developers on how science and industry face similar challenges. He is also looking to license multiple technologies co-invented by him.

Research Interests

  • Science of Science
  • Deep learning
  • Artificial Intelligence
  • Recommendation systems

Fingerprint Dive into the research topics where Daniel Acuna is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Bibliometrics Medicine & Life Sciences
Decision Making Medicine & Life Sciences
Learning Medicine & Life Sciences
Publications Medicine & Life Sciences
Research Peer Review Medicine & Life Sciences
Research Personnel Medicine & Life Sciences
Job Application Medicine & Life Sciences
Decision making Engineering & Materials Science

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Projects 2016 2021

Research Output 2005 2019

  • 274 Citations
  • 8 h-Index
  • 13 Article
  • 4 Conference contribution
  • 1 Comment/debate

Dead Science: Most Resources Linked in Biomedical Articles Disappear in Eight Years

Zeng, T., Shema, A. & Acuna, D., Jan 1 2019, Information in Contemporary Society - 14th International Conference, iConference 2019, Proceedings. Nardi, B., Taylor, N. G., Christian-Lamb, C. & Martin, M. H. (eds.). Springer Verlag, p. 170-176 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11420 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Websites
Pipelines
Resources
Suffix
Resource Sharing
3 Citations (Scopus)

Intellectual synthesis in mentorship determines success in academic careers

Liénard, J. F., Achakulvisut, T., Acuna, D. & David, S. V., Dec 1 2018, In : Nature Communications. 9, 1, 4840.

Research output: Contribution to journalArticle

Mentors
students
Students
synthesis
Availability

Limiting motor skill knowledge via incidental training protects against choking under pressure

Lee, T. G., Acuna, D., Kording, K. P. & Grafton, S. T., May 18 2018, (Accepted/In press) In : Psychonomic Bulletin and Review. p. 1-12 12 p.

Research output: Contribution to journalArticle

Motor Skills
Airway Obstruction
Pressure
Motivation
Cues
3 Citations (Scopus)

The sociology of scientific validity: How professional networks shape judgement in peer review

Teplitskiy, M., Acuna, D., Elamrani-Raoult, A., Körding, K. & Evans, J., Jan 1 2018, (Accepted/In press) In : Research Policy.

Research output: Contribution to journalArticle

Sociology
Peer review
Neuroscience
Nepotism
Evaluator
1 Citation (Scopus)

Show me your app usage and I will tell who your close friends are: Predicting user's context from simple cellphone activity

Shema, A. & Acuna, D., May 6 2017, CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. Association for Computing Machinery, Vol. Part F127655. p. 2929-2935 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Application programs
Clocks

Press and Media

T’Challa Heads To The Stars In Black Panther Relaunch

Daniel Acuna

2/22/18

1 item of media coverage

Press/Media: Expert Comment