Dakota Murray

Doctoral Candidate in Informatics

Indiana University


I study the social factors that shape scientific careers, and in turn, shape the global scientific ecosystem. In particular, I’m interested in biases and misincentives in evaluative institutions in academia, such as citation counts, peer review, and even obituaries. I also like to study boundaries in science, and who, when, why, and how people cross them. Specifically, scientists cross geographic boundaries, moving from institution to institution over the course of their career. Similarly, scientists cross epistemic boundaries, changing their discipline and research topics over time, sometimes drastically.

I am currently pursuing a PhD at Indiana University Bloomington in the department of Informatics, Computing, and Engineering and an alumni of the Santa Fe Institute’s Complex Systems Summer School. I have two amazing advisors: Dr. Cassidy Sugimoto and Dr. Yong-Yeol Ahn. Currently I am a member of the Science Genome project funded by the DoD Minerva Initiative. Apart from work, I enjoy running, cooking, traveling, and reading science fiction.


  • Science of Science
  • Scientometrics
  • Computational Social Science
  • Data Science


  • PhD in Informatics, 2021

    Indiana University

  • BSc in Computer Science, 2016

    Appalachian State University

Recent Posts

Embedding graphs with Laplacian Eigenmaps

Graph laplacian eigenmaps (GLE) are one means, among many, of embedding graphs into a low-dimensional numeric space. Specifically, GLE …

Talks and posters

2021 Copenhagen
2021 Northwestern
2021 Northeastern
A scientometric analysis of disagreement in science