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Dakota Murray

Doctoral Candidate in Informatics

Indiana University

Biography

I’m a computational social scientist studying the social and epistemic dynamics of the global scientific ecosystem. I mostly rely on using neural-network based representation learning to construct simplified embeddings of bibliometric and social networks. I also more generally leverage data science tools such as machine learning, statistical analysis, bibliometrics, and corpus linguistics to make sense of scholarly data.

I am currently pursuing a PhD at Indiana University Bloomington in the department of Informatics, Computing, and Engineering. I have been fortunate enough to be advised by Dr. Cassidy Sugimoto and am currently working as a research assistant on the Minerva-funded Sciecne Genome project. Apart from work, I enjoy running, cooking, traveling, and reading science fiction.

Interests

  • Science of Science
  • Computational Social Science
  • Data Science
  • Representation Learning

Education

  • 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 …

Recent Publications

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