About

Dr. John K. Hubbard, PhD, PT, serves as an Instructional Associate Professor at the Texas A&M University Naresh K. Vashisht College of Medicine within the Department of Neuroscience & Experimental Therapeutics. He currently co-directs the Medical Gross Anatomy course and is actively involved in teaching Histology and Neuroanatomy. Dr. Hubbard is responsible for maintaining the anatomical science facilities, including the Gross Anatomy Laboratory and the Willed Body Program. His role extends to planning and developing curricular content that integrates basic science with clinical sciences and facilitating active learning sessions. He holds a PhD in Medical Anatomy from Texas A&M University, obtained in 1997, a Master of Science from the University of Southern California in 1981, and a Bachelor of Science in Physical Education from Brigham Young University in 1978. Dr. Hubbard is also the elected chairperson of the Anatomical Board of the State of Texas, overseeing gross anatomy facilities and Willed Body Programs across the state. Additionally, he oversees the Gross Anatomy rotation for the Orthopedic Residency program at Baylor Scott and White Hospital in Temple, Texas. His professional activities include participation in competency programs such as Team-Based Learning, Team STEPPS, and Train the Trainer, along with planning interprofessional education activities.

Research topics

• Computer Science
• Sociology
• Social Science
• Political Science
• Engineering
• Information Retrieval
• World Wide Web
• Library science
• Data science
• Pedagogy
• Mathematics education
• Mathematics
• History
• Law
• Psychology
• Engineering ethics

Selected publications

• Prevalence of Registered Reports in experimental psychology journals: A bibliometric study

  Quantitative Science Studies · 2025-01-01 · 1 citations

  articleOpen accessSenior author

  Abstract Registered Reports were introduced a decade ago to reduce data dredging and the selective reporting of “statistically significant” results in journal articles. Previous studies have examined the extent to which journals have adopted the procedure and the number of such articles published in these journals. This bibliometric study focuses on the subdiscipline that has most thoroughly adopted the procedure, experimental psychology, and compiles a more complete list of published Registered Reports than used in previous studies and estimates their prevalence in the experimental psychology literature using Web of Science for total article counts. Thirty-six experimental psychology journals were found to have adopted the procedure, but 11 had not published any Registered Reports by the end of 2023. One journal accounted for almost 30% of the 227 Registered Reports, and eight others for a further 50%. Registered Reports represented a small percentage of the total experimental psychology articles published over the period 2013–2023 at 1.2%. Lack of diffusion of Registered Reports through the subdiscipline that has most fully embraced it is likely due to it having little value within the academic incentive system. Future studies would benefit from journals more accurately identifying Registered Reports and the creation of a central registry.

  PublisherOA PDFDOI

• Semiparametric Double Reinforcement Learning with Applications to Long-Term Causal Inference

  arXiv (Cornell University) · 2025-01-12

  preprintOpen access

  Double Reinforcement Learning (DRL) enables efficient inference for policy values in nonparametric Markov decision processes (MDPs), but existing methods face two major obstacles: (1) they require stringent intertemporal overlap conditions on state trajectories, and (2) they rely on estimating high-dimensional occupancy density ratios. Motivated by problems in long-term causal inference, we extend DRL to a semiparametric setting and develop doubly robust, automatic estimators for general linear functionals of the Q-function in infinite-horizon, time-homogeneous MDPs. By imposing structure on the Q-function, we relax the overlap conditions required by nonparametric methods and obtain efficiency gains. The second obstacle--density-ratio estimation--typically requires computationally expensive and unstable min-max optimization. To address both challenges, we introduce superefficient nonparametric estimators whose limiting variance falls below the generalized Cramer-Rao bound. These estimators treat the Q-function as a one-dimensional summary of the state-action process, reducing high-dimensional overlap requirements to a single-dimensional condition. The procedure is simple to implement: estimate and calibrate the Q-function using fitted Q-iteration, then plug the result into the target functional, thereby avoiding density-ratio estimation altogether.

  PublisherOA PDFDOI

• Author response for "Prevalence of Registered Reports in Experimental Psychology Journals: A Bibliometric Study"

  2025-02-10

  peer-reviewSenior author
  PublisherDOI

• Explicit bounds on common projective torsion points of elliptic curves

  arXiv (Cornell University) · 2024-12-28

  preprintOpen accessSenior author

  Suppose E_1, E_2 are elliptic curves (over the complex numbers) together with standard double coverings of the projective line identifying a point and its inverse on E_i. Bogomolov, Fu and Tschinkel have asked if the number of common images of torsion points on the elliptic curves under these double coverings is uniformly bounded in the case when the branch loci of the double coverings do not coincide, and recently this was answered affirmatively by various authors, but realistic effective bounds are unknown. In this article we obtain such bounds for common projective torsion points on elliptic curves under some mild extra assumptions on the reduction type of the input data at given primes. The method is based on Raynaud's original groundbreaking work on the Manin-Mumford conjecture. In particular, we generalise several of his results to cases of bad reduction using techniques from logarithmic algebraic geometry.

  PublisherOA PDFDOI

• Roots of unity and projective equivalence

  arXiv (Cornell University) · 2024-10-22

  preprintOpen access1st authorCorresponding

  Existing results of Fu show that, if two finite sets of roots of unity are projectively equivalent by a projective automorphism that does not act bijectively on the set of all roots of unity, then these sets consist of at most 14 points. Moreover, Fu constructs the two possible maximal sets, which are unique up to projective equivalence. In this article, we give an elementary proof that the cardinality of two such sets is at most 18 using the methods of Beukers and Smyth. Moreover, we show precisely how their method fails to give the tightest bound in the maximal cases of Fu.

  PublisherOA PDFDOI

• Efficacy of Using Producer Price Indexes for Bulk Chemical Prices in Student Design Projects

  2024-02-08 · 1 citations

  articleOpen access1st authorCorresponding

  Engineering students are being asked to work on real-world projects and need to access accurate cost information for their design projects. In the case of chemical engineering and related disciplines, capstone courses often require designing industrial processes or a chemical plant involving bulk chemical prices for both feedstocks and products. A lot of chemical pricing information was available in trade magazines; however, bulk chemical prices are increasingly difficult to locate as producers of that information have reduced the availability and further monetized the information over the last 15 years. The resulting information sources containing chemical prices often cannot be acquired by academic libraries due to cost or licensing terms. In cases where current chemical prices are not available, one could use a Producer Price Index (PPI) to adjust an older price to current levels. Using older prices and adjusting to current levels allows students access to a much larger source of chemical prices (i.e., older issues of trade magazines). Using the PPI to adjust chemical prices will be reviewed. In theory, adjustments using a PPI should provide reasonable estimates of chemical prices. To determine the efficacy of this approach, this study examined price adjustments from two chemical pricing sources for 2, 5, 10, and 15-year intervals for a group of industrial chemicals to determine the efficacy of this approach. This study then discusses the relative merits and limits of using PPIs to adjust chemical prices to assist students with their design projects.

  PublisherOA PDFDOI

• Analysis Of Acknowledgments of Libraries in the Journal Literature Using Machine Learning

  Proceedings of the Association for Information Science and Technology · 2022-10-01 · 1 citations

  article1st authorCorresponding

  ABSTRACT Increasing emphasis is being placed on research impact and it has prompted scholars to explore contributions beyond traditional research impact metrics. Acknowledgments, which are formal statements of indebtedness and contribution, within the journal literature provide an additional means to assess impact. This study examines contributions of libraries to the scholarly literature within acknowledgments using a combination of machine learning and manual methods to quantify and characterize acknowledgments.

  PublisherDOI

• Retractions in Scopus: An Engineering Journal Articles Investigation

  Science & Technology Libraries · 2022-07-28 · 4 citations

  articleSenior author

  This study explores retracted journal articles in the engineering literature indexed in Scopus in order to determine how easy it is for non-expert users to identify retracted publications and interpret the reasons for retractions. The authors also analyzed citations both pre- and post-retraction to compare the methods Scopus uses to alert readers to the retracted status of an article. The results show that the current practice is inconsistent and the methods Scopus uses for indicating retraction status are equally inefficient in preventing the accumulation of post-retraction citations. Engineering librarians can use these results to educate engineering students and researchers on retraction-related topics and scholarly communication practices.

  PublisherDOI

• Student Use of Librarian Expertise during Design Competitions: A Study of Efficacy and Resource Use

  portal Libraries and the Academy · 2021-01-01 · 4 citations

  article

  Engineering librarians at Texas A&M University in College Station partnered with the university's College of Engineering to provide information assistance to students participating in Aggies Invent, a series of 48-hour design competitions conducted in the college's makerspace. To assess the impact of librarian-student consultations, the authors collected data on the questions asked and resources used, and they surveyed the participants after each competition. Results indicated that most questions were business-related, followed by engineering queries, and that participants used both business and engineering resources. Google products were also heavily used, although often in conjunction with other library resources and in an intentional manner. Overall, students found the librarian consultations useful in their designs and presentations.

  PublisherDOI

• Collaborative Data Literacy Education for Research Labs: A Case Study at a Large Research University

  Collaborative Librarianship · 2021 · 5 citations

  Senior authorCorresponding
  • Computer Science
  • Sociology
  • Computer Science

  Data literacy education for graduate students can take place in many contexts. One-shot instruction sessions and credit-bearing courses are a common mode of instruction for the graduate student audience, but both share limitations regarding best practices for adult learning theory. This case study explores the benefits of data literacy education in a research lab setting and highlights the collaborations among data librarians, a liaison librarian, and research faculty that enable effective learning experiences in labs or other applied settings. The authors share the design of the curriculum, facilitation of the instruction, and the assessment of student learning, as well as their approach to collaboration as an essential component of the project.

  Publisher

Frequent coauthors

• E. Mark Haacke

  Wayne State University

  9 shared

• Rusty Kimball

  Texas A&M University

  6 shared

• Lawrence C. Washington

  5 shared

• Carmelita Pickett

  State Library of Iowa

  5 shared

• Jane Stephens

  5 shared

• Sierra Laddusaw

  4 shared

• Wei Feng

  Chinese Academy of Medical Sciences & Peking Union Medical College

  4 shared

• Jean Staton

  Emory University

  4 shared

Education

• Master of Science, Geographic Information Science

  Northwest Missouri State University

  2012

• Master of Arts, Information Science & Learning Technologies - Library Science

  University of Missouri

  2003

• Bachelor of Arts, Chemistry

  University of Missouri - St. Louis

  1988