Student Paper Competition
EnviBayes organizes a student paper competition each year. Student winners have the opportunity to present their work at an EnviBayes invited session.
2027 EnviBayes Student Paper Competition
The EnviBayes section of ISBA is pleased to announce the 2027 EnviBayes student paper competition. Papers considered for this competition should present the development of new Bayesian methodology to address problems in environmental sciences and/or novel applications of existing Bayesian statistical methods for the analysis of environmental data. Applicants must be the first or corresponding author of the paper, if there are other authors.
Eligibility: The applicant must be:
- the first or corresponding author of the paper;
- currently a student (undergraduate, Master, Ph.D.) or have graduated after June 1, 2025;
- submitting a paper that is unpublished or currently under review but has not been accepted for publication either in print or online by December 1, 2026;
- a member of ISBA and EnviBayes.
Awards: For the 2027 competition, EnviBayes anticipates awarding up to 4 awards. Winners will receive a certificate, a monetary award, and will be given the opportunity to present their work in a special invited session at the EnviBayes–INLA Workshop 2027 in Glasgow, UK (22–24 June 2027).
Deadline: The application deadline is December 1, 2026, by 5pm EST. Materials must be sent via email to a.zammit_mangion@unsw.edu.au with the subject line “2027 EnviBayes student paper competition”.
Application materials: A complete application consists of:
- the paper, including all figures, tables, and appendices as one PDF file. The paper must be anonymized, entirely double-spaced (abstract, main body, references, footnotes, and appendices), using an 11-point font with at least 1-inch margins on all sides, and no longer than 30 pages (inclusive of all figures and tables; bibliography and appendices do not count towards the 30 pages);
- a letter of support from the student’s advisor confirming the status of the applicant, if currently a student, or indicating the date of graduation, if a recent graduate. The letter should also briefly describe the applicant’s role in the research and writing of the paper.
Review process: Papers will be reviewed by a student paper competition committee appointed by the EnviBayes Executive Committee. Papers are judged on environmental importance/relevance, statistical modeling/novelty, as well as writing (including organization, clarity and accessibility). The decision of the selecting committee will be final.
Notification of winners: Applicants will be notified by January 15, 2027.
Past winners
| Name | Year | University | Title |
|---|---|---|---|
| Antonio Aguirre | Jan 2026 | UC Santa Cruz, USA | Bayesian quantile-based correction and synthesis of river flow |
| Viviana Carcaiso | Jan 2026 | University of Padova, Italy | Bayesian mixture models for heterogeneous extremes |
| Francesca Labanca | Jan 2026 | University of Florence, Italy | Copula-based models for spatially dependent cylindrical data |
| Shih-Ni Prim | Jan 2026 | North Carolina State University, USA | A spectral confounder adjustment for spatial regression with multiple exposures and outcomes |
| Josh Jacobson | Feb 2025 | University of Wollongong | WOMBAT v2.S: A Bayesian inversion framework for attributing global CO2 flux components with multiprocess data |
| Alexander Mozdzen | Feb 2025 | University of Klagenfurt | Bayesian nonparametric partial clustering: quantifying the effectiveness of agricultural subsidies across Europe |
| Muyang Shi | Feb 2025 | Colorado State University | Spatial scale-aware tail dependence modeling for high-dimensional spatial extremes |
| Haoxuan Wang | Feb 2025 | Duke University | Bayesian modeling of multi-species labeling errors in ecological studies |
| Sam Gailliot | Jan 2024 | Texas A&M University | Data sketching and stacking: a confluence of two strategies for predictive inference in high-dimensional Gaussian process regressions with air pollution data |
| Jorge Castillo-Mateo | Jan 2024 | University of Zaragoza/Duke University | Spatio-temporal modeling for record-breaking temperature events in Spain |
| Glenn Palmer | Jan 2024 | Duke University | Low-rank longitudinal factor regression |
| Bora Jin | Jan 2022 | Duke University | Bag of DAGs: Flexible nonstationary modeling of spatiotemporal dependence |
| Xiaotian Zheng | Jan 2022 | University of California Santa Cruz | Nearest-neighbor geostatistical models for non-Gaussian data |