publications

2026

1. 

   Star Light, Star Bright: Can Multimodal Models Parse an Astronomy Visual Question Answering Dataset Right?

   J. P. Naiman

   In The 4th Annual Workshop for Artificial Intelligence for Scientific Publications (WASP) 2026, International Joint Conference on Natural Language Processing & Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL) , 2026

   Data
2. Accessibility Annotations as OCR Ground Truth: A Large-Scale Corpus of Long, Visually Complex Documents

   Gaozheng Liu , Jill Naiman , and J. Stephen Downie

   In Proceedings of the 26th ACM/IEEE Joint Conference on Digital Libraries , 2026

   Poster/Demo

   Website
3. Do you “see” what I “see”? A Multi-panel Visual Question and Answer Dataset for Large Language Model Chart Analysis

   Daniel Evans , Jill Naiman , Jooyoung Seo , and 1 more author

   In Linking Theory and Practice of Digital Libraries – 30th International Conference on Theory and Practice of Digital Libraries, TPDL 2026 , Sep 2026

   Publication arXiv Website Data

2025

1. 

   What Lies Beneath: A Call for Distribution-based Visual Question & Answer Datasets

   Jill P. Naiman ,  *Daniel John Evans , and  JooYoung Seo

   In ACM/IEEE Joint Conference on Digital Libraries JCDL 2025 , Dec 2025

   arXiv Website

2. 

   Best Poster WebSci 2025

   Beyond the Lens: Quantifying the Impact of Scientific Documentaries through Amazon Reviews

   Jill Naiman , Aria Pessianzadeh , Hanyu Zhao , and 8 more authors

   In Proceedings of the 17th ACM Web Science Conference 2025 , May 2025

   Publication Abs arXiv

   Engaging the public with science is critical for a well-informed population. A popular method of scientific communication is documentaries. Once released, it can be difficult to assess the impact of such works on a large scale, due to the overhead required for in-depth audience feedback studies. In what follows, we overview our complementary approach to qualitative studies through quantitative impact and sentiment analysis of Amazon reviews for several scientific documentaries. In addition to developing a novel impact category taxonomy for this analysis, we release a dataset containing 1296 human-annotated sentences from 1043 Amazon reviews for six movies created in whole or part by the Advanced Visualization Lab (AVL). This interdisciplinary team is housed at the National Center for Supercomputing Applications and consists of visualization designers who focus on cinematic presentations of scientific data. Using this data, we train and evaluate several machine learning and large language models, discussing their effectiveness and possible generalizability for documentaries beyond those focused on for this work. Themes are also extracted from our annotated dataset which, along with our large language model analysis, demonstrate a measure of the ability of scientific documentaries to engage with the public.

3. Making more sense with machines: artificial intelligence at the HathiTrust Research Center

   Glen Layne-Worthey , J. Stephen Downie , Janet Swatscheno , and 6 more authors

   May 2025

   Publication Abs

   The HathiTrust Digital Library includes books in over 400 languages on a staggering variety of subjects, including the humanities, arts, natural and social sciences, and government information. Its immense scope and broad heterogeneity (of languages, writing systems, topics, genres, legal accessibility, etc.) represent fundamental challenges for traditional research methods, but are ideal for the highly scalable computational research approaches created and enabled by the HathiTrust Research Center (HTRC) and its affiliated researchers.We begin this chapter with the historical, organisational and legal underpinnings of the HTRC’s publicly available tools, services and data that allow computational access to the entire Digital

2024

1. Transforming Science Narratives? The Impact of Explanatory Labels of 3D Data Visualization on Public Understanding of Space Science

   Eric Allen Jensen ,  *Kalina Borkiewicz ,  Jeff Carpenter , and 2 more authors

   International Journal of Science Education, Oct 2024

   Publication
2. Picture Perfect Science Communication: How Public Audiences Respond to Informational Labels in Cinematic-Style 3D Data Visualization

   Eric Allen Jensen ,  *Kalina Borkiewicz ,  Jill P. Naiman , and 2 more authors

   PLOS ONE, Oct 2024

   Publication
3. Audience Reach of Scientific Data Visualizations in Planetarium-Screened Films

   *Kalina Borkiewicz , Eric Jensen ,  *Yiwen Miao , and 4 more authors

   Oct 2024

   arXiv Poster
4. pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy

   Kartheik G. Iyer , Mikaeel Yunus , Charles O’Neill , and 27 more authors

   Aug 2024

   arXiv
5. Overcoming OCR Inaccuracies in Historic Newspaper Directories: Improving Digital Archaeology and Digital Humanities Data Pipelines

   *Daniel John Evans ,  Jill P. Naiman , and  J. Stephen Downie

   In Reinvention & Responsibility: Digital Humanties Conference , Jun 2024

6. 

   Generalizability in Document Layout Analysis for Scientific Article Figure & Caption Extraction (Submission as part collaborative chapter "Making more sense with machines")

   J. P. Naiman

   Jan 2024

   arXiv

2023

1. Introducing yt 4.0: Analysis and Visualization of Volumetric Data

   Matthew Turk , Nathan J Goldbaum , John A ZuHone , and 8 more authors

   Jan 2023

   Publication

2. 

   AstroLLaMA: Towards Specialized Foundation Models in Astronomy

   Tuan Dung Nguyen , Yuan-Sen Ting , Ioana Ciucă , and 21 more authors

   In Proceedings of the Second Workshop on Information Extraction from Scientific Publications , Nov 2023

   Publication arXiv Website

3. 

   Large Synthetic Data from the arχiv for OCR Post Correction of Historic Scientific Articles

   J. P. Naiman , *M. G. Cosillo , Peter KG Williams , and 1 more author

   In International Conference on Theory and Practice of Digital Libraries , Nov 2023

   Publication arXiv Website

4. 

   The Digitization of Historical Astrophysical Literature with Highly-Localized Figures and Figure Captions

   J. P. Naiman , Peter K. G. Williams , and Alyssa Goodman

   International Journal on Digital Libraries, Feb 2023

   Publication arXiv
5. A Journey to the Center of the Milky Way: Stellar Orbits around Its Central Black Hole

   *K. M. Borkiewicz , Stuart Levy , Jeff Carpenter , and 9 more authors

   In The International Conference for High Performance Computing, Networking, Storage, and Analysis , Nov 2023

   Website

6. 

   Evidence-Based Methods of Communicating Science to the Public through Data Visualization

   Eric A Jensen , *Kalina Borkiewicz ,  J. P. Naiman , and 2 more authors

   Sustainability, Nov 2023

   Publication Website

2022

1. 

   Figure and Figure Caption Extraction for Mixed Raster and Vector PDFs: Digitization of Astronomical Literature with OCR Features

   J. P. Naiman , Peter KG Williams , and Alyssa Goodman

   In Linking Theory and Practice of Digital Libraries: 26th International Conference on Theory and Practice of Digital Libraries, TPDL 2022, Padua, Italy, September 20–23, 2022, Proceedings , Nov 2022

   Publication arXiv Website

2. 

   A new frontier in science communication? What we know about how public audiences respond to cinematic scientific visualization

   Eric A Jensen , *Kalina Maria Borkiewicz , and  J. P. Naiman

   Frontiers in Communication, Nov 2022

   Publication

3. 

   Introducing cinematic scientific visualization: a new frontier in science communication

   *K. Borkiewicz , Eric Jensen , Stuart Levy , and 1 more author

   Impact of Social Sciences Blog, Nov 2022

   Publication
4. Evidence-based science communication: through cinematic scientific visualization

   Eric A Jensen , *Kalina M Borkiewicz ,  J. P. Naiman , and 1 more author

   In ACM SIGGRAPH 2022 Courses , Nov 2022

   Publication

2021

1. 

   CloudFindr: A Deep Learning Cloud Artifact Masker for Satellite DEM Data

   *K. Borkiewicz , *V. Shah ,  J. P. Naiman , and 3 more authors

   In 2021 IEEE Visualization Conference (VIS) , Nov 2021

   Publication arXiv Website

2020

1. Winds in Star Clusters Drive Kolmogorov Turbulence

   *M. Gallegos-Garcia , Blakesley Burkhart , Anna L. Rosen , and 2 more authors

   ApJL, Aug 2020

   arXiv

2. 

   The Catalogue for Astrophysical Turbulence Simulations (CATS)

   B. Burkhart , S. M. Appel , S. Bialy , and 18 more authors

   ApJ, Dec 2020

   arXiv
3. Modelling gas evacuation mechanisms in present-day globular clusters: stellar winds from evolved stars and pulsar heating

   J. P. Naiman ,  *M. Soares-Furtado , and E. Ramirez-Ruiz

   MNRAS, Feb 2020

   arXiv
4. The Effects of Metallicity and Abundance Pattern of the ISM on Supernova Feedback

   *P. I. Karpov , Davide Martizzi , Phillip Macias , and 3 more authors

   ApJ, Jun 2020

   arXiv

5. 

   Clustering-informed cinematic astrophysical data visualization with application to the Moon-forming terrestrial synestia

   *P. D. Aleo , S. J. Lock , D. J. Cox , and 5 more authors

   Astronomy and Computing, Oct 2020

   arXiv
6. The Reading Time Machine: Transforming Astrophysical Literature into Actionable Data

   J. P. Naiman

   Jan 2020

2019

1. The evolution of the mass-metallicity relation and its scatter in IllustrisTNG

   Paul Torrey , Mark Vogelsberger , Federico Marinacci , and 8 more authors

   MNRAS, Apr 2019

   arXiv
2. Baryons in the Cosmic Web of IllustrisTNG - I: gas in knots, filaments, sheets, and voids

   Davide Martizzi , Mark Vogelsberger , Maria Celeste Artale , and 9 more authors

   MNRAS, Jul 2019

   arXiv

3. 

   Cinematic Visualization of Multiresolution Data: Ytini for Adaptive Mesh Refinement in Houdini

   *K. Borkiewicz ,  J. P. Naiman , and  *H. Lai

   AJ, Jul 2019

   arXiv

2018

1. Simulating galaxy formation with the IllustrisTNG model

   Annalisa Pillepich , Volker Springel , Dylan Nelson , and 8 more authors

   MNRAS, Jan 2018

   arXiv
2. First results from the IllustrisTNG simulations: matter and galaxy clustering

   Volker Springel , Rüdiger Pakmor , Annalisa Pillepich , and 8 more authors

   MNRAS, Mar 2018

   arXiv
3. First results from the IllustrisTNG simulations: the stellar mass content of groups and clusters of galaxies

   Annalisa Pillepich , Dylan Nelson , Lars Hernquist , and 8 more authors

   MNRAS, Mar 2018

   arXiv
4. First results from the IllustrisTNG simulations: the galaxy colour bimodality

   Dylan Nelson , Annalisa Pillepich , Volker Springel , and 9 more authors

   MNRAS, Mar 2018

   arXiv
5. First results from the IllustrisTNG simulations: radio haloes and magnetic fields

   Federico Marinacci , Mark Vogelsberger , Rüdiger Pakmor , and 8 more authors

   MNRAS, Nov 2018

   arXiv
6. First results from the IllustrisTNG simulations: a tale of two elements - chemical evolution of magnesium and europium

   J. P. Naiman , Annalisa Pillepich , Volker Springel , and 9 more authors

   MNRAS, Jun 2018

   arXiv
7. The size evolution of star-forming and quenched galaxies in the IllustrisTNG simulation

   Shy Genel , Dylan Nelson , Annalisa Pillepich , and 8 more authors

   MNRAS, Mar 2018

   arXiv
8. Supermassive black holes and their feedback effects in the IllustrisTNG simulation

   Rainer Weinberger , Volker Springel , Rüdiger Pakmor , and 8 more authors

   MNRAS, Sep 2018

   arXiv
9. The uniformity and time-invariance of the intra-cluster metal distribution in galaxy clusters from the IllustrisTNG simulations

   Mark Vogelsberger , Federico Marinacci , Paul Torrey , and 8 more authors

   MNRAS, Feb 2018

   arXiv
10. Stellar wind retention and expulsion in massive star clusters

    J. P. Naiman , E. Ramirez-Ruiz , and D. N. C. Lin

    MNRAS, Aug 2018

    arXiv
11. Star Formation in Merging Galaxies Using FIRE

    *A. Perez , Chao-Ling Hung ,  J. P. Naiman , and 2 more authors

    In American Astronomical Society Meeting Abstracts #231 , Jan 2018

2017

1. 

   Houdini for Astrophysical Visualization

   J. P. Naiman ,  *K. Borkiewicz , and  *A. J. Christensen

   PASP, May 2017

   arXiv
2. Star Clusters within FIRE

   *A. Perez , Jorge Moreno ,  J. P. Naiman , and 2 more authors

   In American Astronomical Society Meeting Abstracts #229 , Jan 2017

2016

1. 

   AstroBlend: An astrophysical visualization package for Blender

   J. P. Naiman

   Astronomy and Computing, Apr 2016

   arXiv

2014

1. Modeling Gas Evacuation Mechanisms in Globular Clusters

   *M. Soares-Furtado ,  J. P. Naiman , and E. Ramirez-Ruiz

   In American Astronomical Society Meeting Abstracts #223 , Jan 2014
2. Gas retention and accumulation in stellar clusters and galaxies: Implications for star formation and black hole accretion

   Jill Naiman

   Jan 2014

2013

1. Feeding Stars to Supermassive Black Holes through Winds, Collisions & Tidal Disruptions

   M. Macleod , J. Guillochon , S. Grady , and 2 more authors

   In Snowmass on the Pacific , Mar 2013

2012

1. The Dynamics, Appearance, and Demographics of Relativistic Jets Triggered by Tidal Disruption of Stars in Quiescent Supermassive Black Holes

   Fabio De Colle , James Guillochon , Jill P. Naiman , and 1 more author

   ApJ, Dec 2012

   arXiv

2011

1. External Mass Accumulation onto Core Potentials: Implications for Star Clusters, Galaxies, and Galaxy Clusters

   J. P. Naiman , E. Ramirez-Ruiz , and D. N. C. Lin

   ApJ, Jul 2011

   arXiv

2008

1. Measuring Distance and Properties of the Milky Way’s Central Supermassive Black Hole with Stellar Orbits

   A. M. Ghez , S. Salim , N. N. Weinberg , and 10 more authors

   ApJ, Dec 2008

   arXiv