
SPSTAt 2026
International Conference on Statistics, Data Science, and Analytics
in celebration of the Philippine National Statistics Month 2026
When
October 19–21, 2026
Three days of keynotes, talks, and workshops
Where
MSU-IIT
Iligan City, Philippines
What
Highlights
Keynotes, papers, posters, workshops & more
Get involved
Open Call
Submit your abstract
Important Dates
1 August 2026
Call for Papers Opens
25 August 2026
Abstract Submission Deadline
Remains open, subject to available slots30 August 2026
Notification of Acceptance
Rolling, sent as abstracts are reviewed19–21 October 2026
Conference Date
Abstract Submission Remains Open
- The Scientific Committee will continue to accept and review submissions subject to available presentation slots.
- Authors are encouraged to submit as early as possible.
- The submission window may close once the available presentation capacity has been reached.
About the Conference
Statistics, data science, and analytics play an increasingly important role in addressing complex scientific, technological, economic, environmental, health, and societal challenges. The growing availability and complexity of data likewise require stronger collaboration among statisticians, data scientists, researchers, educators, government practitioners, industry professionals, and other users of statistical information. In this context, SPSTAt 2026 – An International Conference on Statistics, Data Science, and Analytics is organized by Mindanao State University–Iligan Institute of Technology (MSU-IIT) through the Department of Mathematics and Statistics (DMS), the Premier Research Institute of Science and Mathematics–Center for Computational Analytics and Modeling (PRISM-CCAM), the Southern Philippines Society of Theoretical and Applied Statistics, Inc. (SPSTAt) in collaboration with the VLIR-UOS TEAM SEABREEZE Project and the PRISM-Center for Mathematical, Theoretical and Physical Sciences (PRISM-CMPTS). The conference will be held on October 19–21, 2026, in celebration of the 2026 National Statistics Month. With the theme "Evidence that Matters: Statistics for Better Decisions in an Uncertain World," the conference provides an international platform for the presentation and exchange of research in Statistics, data science, analytics, and related disciplines. It seeks to facilitate the sharing of ideas, foster research collaboration, and promote evidence-based decision-making. The conference brings together researchers, educators, students, government practitioners, industry professionals, users of Statistics, and other stakeholders from the Philippines and abroad. Its program includes plenary lectures, technical sessions, workshops, and poster presentations covering areas such as statistical theory and methodology, applied Statistics, data science and artificial intelligence, computational Statistics, spatial and spatio-temporal analytics, citizen science and community analytics, and Statistics education. The conference also provides an important venue for strengthening the international academic partnerships of MSU-IIT, including its continuing collaboration with Hasselt University, Belgium, through the SEABREEZE initiative and related graduate and research activities. The participation of international experts and partner institutions will contribute to research exchange, mentoring, networking, and opportunities for future academic and research collaboration.
Objectives
SPSTAt 2026 aims to:
- 1Provide an international platform for the dissemination and exchange of current research and developments in Statistics, data science, and analytics.
- 2Promote interdisciplinary research and collaboration among academia, government, industry, international partners, and other users of statistical knowledge.
- 3Highlight innovative applications of Statistics, data science, artificial intelligence, and analytics in addressing contemporary scientific and societal challenges.
- 4Strengthen professional and academic networks among statisticians, data scientists, researchers, educators, students, practitioners, and other stakeholders.
- 5Promote evidence-based decision-making and strengthen the role of Statistics in addressing uncertainty and complex real-world problems.
Target Participants
The conference is intended for:
- Statisticians and data scientists
- Faculty members and researchers
- Graduate and undergraduate students
- Government practitioners and agencies
- Industry professionals and analysts
- Educators and users of statistical information
- Researchers and professionals from related disciplines
Expected Contribution
SPSTAt 2026 is expected to contribute to the advancement of Statistics, data science, and analytics through research dissemination, interdisciplinary exchange, professional networking, and international collaboration. It will provide opportunities for researchers and practitioners to share knowledge, establish collaborative relationships, and identify emerging research directions. For MSU-IIT, the conference will further strengthen its role as a venue for statistical research, data science, graduate education, international academic engagement, and research collaboration, while contributing to the broader development of the statistical community in the Philippines and Southeast Asia.
Tracks
SPSTAt 2026 welcomes contributions across the following areas.
A. Statistical Theory and Methodology
- Probability Theory
- Statistical Inference
- Bayesian Statistics
- Sampling Theory
- Experimental Design
- Sequential Analysis
- Time Series Analysis
- Survival Analysis
- Longitudinal Data Analysis
- Categorical Data Analysis
- Multivariate Analysis
B. Applied Statistics
- Official Statistics
- Government Statistics
- Agricultural Statistics
- Environmental Statistics
- Climate Statistics
- Fisheries Statistics
- Health and Biostatistics
- Epidemiology
- Financial Statistics
- Industrial Statistics
- Quality Improvement
- Sports Analytics
C. Data Science and Artificial Intelligence
- Machine Learning
- Deep Learning
- Statistical Learning
- Predictive Analytics
- Big Data Analytics
- Data Mining
- Business Analytics
- Artificial Intelligence
- Explainable and Responsible AI
D. Computational Statistics
- Statistical Computing
- High-Performance Computing
- Monte Carlo Methods
- Simulation
- Optimization
- Scientific Computing
- R, Python, Julia and Related Applications
E. Spatial and Spatio-temporal Analytics
- Spatial Statistics
- Geostatistics
- GIS Applications
- Disease Mapping
- Environmental Monitoring
- Remote Sensing
- Climate Analytics
F. Citizen Science and Community Analytics
- Citizen Science
- Participatory Data Collection
- Community-based Research
- Indigenous Knowledge Systems
- Sustainable Development Analytics
- Public Policy Analytics
G. Statistics Education
- Teaching Innovations
- Statistics Education Research
- Curriculum Development
- Technology-enhanced Learning
- Assessment
- Outreach Programs
Publication Opportunities
Conference Abstract Book
Accepted abstracts will be published in the SPSTAt 2026 Conference Abstract Book.
Proceedings & Partner Journals
Selected full papers may be invited for publication in conference proceedings or partner journals, subject to peer review.
Conference Highlights
International Keynote and Invited Speakers
Scientific Paper Presentations
Poster Presentations
Workshops
Student Research Forum
Professional Networking Activities
SPSTAt Annual Scientific Convention and General Assembly
Keynote Speakers
View all speakers →
Prof. Dr. Olivier Thas
Hasselt University, Belgium · Professor, Ghent University, Belgium · Honorary Professor, University of Wollongong, Australia

Prof. Dr. Thomas Neyens
UHasselt Data Science Institute (DSI) & Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat) · Professor of Biostatistics, KU Leuven, Belgium

Prof. Dr. Paulo Canas Rodrigues
Federal University of Bahia (UFBA), Brazil · Director, Statistical Learning Laboratory (SaLLy)

Prof. Dr. Daniel Andrade
Education and Research Center for Artificial Intelligence and Data Innovation, Hiroshima University
Hosted by

Mindanao State University–Iligan Institute of Technology (MSU-IIT)

Department of Mathematics and Statistics (DMS)

PRISM – Center for Computational Analytics and Modeling (PRISM-CCAM)

Southern Philippines Society of Theoretical and Applied Statistics (SPSTAt) Inc.
In collaboration with
- PRISM-Center for Mathematical and Theoretical Physical Sciences (PRISM-CMPTS)