CHARTING THE EVOLUTION AND TRANSFORMATIVE IMPACT OF THE PACIFIC SYMPOSIUM ON BIOCOMPUTING THROUGH A 30-YEAR RETROSPECTIVE ANALYSIS OF COLLABORATIVE NETWORKS AND THEMES USING MODERN COMPUTATIONAL TOOLS.
Leah Zhang, Sameeksha Garg, Edward Zhang, Sean McOsker, Carly Bobak, Kristine Giffin, Brock Christensen, Joshua Levy
Author Information
Leah Zhang: Thomas Jefferson High School for Science & Technology, Alexandria, VA, USA, 2025lzhang@tjhsst.edu.
Sameeksha Garg: Department of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA, sameeksg@andrew.cmu.edu.
Edward Zhang: Dartmouth College Geisel School of Medicine, Hanover, NH, USA, edward.b.zhang.27@dartmouth.edu.
Sean McOsker: Dartmouth College Geisel School of Medicine, Hanover, NH, USA, Sean.A.McOsker.GR@dartmouth.edu.
Carly Bobak: Dartmouth College Geisel School of Medicine, Hanover, NH, USA, carly.a.bobak@dartmouth.edu.
Kristine Giffin: Dartmouth College Geisel School of Medicine, Hanover, NH, USA, kristine.a.giffin@dartmouth.edu.
Brock Christensen: Dartmouth College Geisel School of Medicine, Hanover, NH, USA, brock.c.christensen@dartmouth.edu.
Joshua Levy: Department of Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles, CA, USA, joshua.levy@cshs.org.
Founded nearly 30 years ago, the Pacific Symposium on Biocomputing (PSB) has continually promoted collaborative research in computational biology, annually highlighting emergent themes that reflect the expanding interdisciplinary nature of the field. This study aimed to explore the collaborative and thematic dynamics at PSB using topic modeling and network analysis methods. We identified 14 central topics that have characterized the discourse at PSB over the past three decades. Our findings demonstrate significant trends in topic relevance, with a growing emphasis on machine learning and integrative analyses. We observed not only an expanding nexus of collaboration but also PSB's crucial role in fostering interdisciplinary collaborations. It remains unclear, however, whether the shift towards interdisciplinarity was driven by the conference itself, external academic trends, or broader societal shifts towards integrated research approaches. Future applications of next-generation analytical methods may offer deeper insights into these dynamics. Additionally, we have developed a web application that leverages retrieval augmented generation and large language models, enabling users to efficiently explore past PSB proceedings.
References
PLoS One. 2015 Aug 12;10(8):e0135095
[PMID: 26266805]
