Submit Your Abstracts and Full Papers

The Pan-American Society of Transportation and Logistics Research (PANAMSTR) is delighted to invite researchers, practitioners, and professionals to participate in the 2026 Pan-American Congress in Transportation and Logistics Research, to be held in San Diego, California and Ensenada, Mexico. This congress aims to foster collaboration and innovation across the Americas, promoting academic and practical advancements in transportation, logistics, and related fields.

Important Dates

We are happy to invite researchers and authors to submit your research to the 2026 PANAM conference. You can submit your extended abstracts at:

https://easychair.org/conferences?conf=panam2026

This is the final date for submitting abstracts for consideration. Make sure to submit before this date.

Authors will be notified of the decisions regarding their submitted abstracts.

The deadline for submitting full papers for consideration.

Authors will receive notifications regarding the acceptance or rejection of their submitted papers.

Take advantage of early bird registration discounts by registering before this date.

The deadline for submitting final, revised versions of accepted papers.

The XXIII PANAM conference officially begins in San Diego and Ensenada.

Congress Themes

Guidelines for Authors

Extended abstracts will undergo a double-blinded review process for approval and should adhere to the following guidelines:

Additionally, authors of accepted abstracts will have the opportunity to submit their complete manuscripts to special issues in journals that will be announced during the event.

Please submit your abstract through our EasyChair Portal at:

https://easychair.org/conferences?conf=panam2026

Guidelines for Authors

Special Issue in the Supply Chain Analytics Journal

We are happy to partner with Elsevier to offer a Special Issue in the Supply Chain Analytics Journal. Selected papers will be invited to submit to this special issue.

VSI: AI-Powered Analytics for Resilient and Sustainable Supply Chains in Emerging Markets

 

Submission deadline: 31 May 2026
 

Emerging markets (EMs) are vital engines of global economic growth but face complex and systemic supply chain challenges, ranging from infrastructure gaps and fragmented supplier networks to data scarcity and heightened exposure to climate and socio-political risks. At the same time, firms operating in or sourcing from EMs are increasingly under pressure to strengthen supply chain resilience and demonstrate measurable progress on environmental, social, and governance (ESG) goals.

This special issue seeks to advance the frontiers of research on the adaptation, development, and deployment of Artificial Intelligence (AI)-driven analytics in EM supply chains. The objective is to curate innovative, practical, and context-sensitive solutions that not only address the distinct constraints of EMs but also unlock their potential for technological leapfrogging and inclusive development.

We invite contributions that bridge methodological rigor with real-world relevance, especially those that tailor AI and analytics to EM-specific conditions such as informal logistics, SME-driven networks, and social sustainability priorities like fair labor and community resilience.

Guest editors:

Executive Guest Editor:

Dr. Carlos D. Paternina-Arboleda, PhD
San Diego State University, San Diego, California, United States
E-mail: cpaternina@sdsu.edu

Co-Guest Editors:

Dr. Jairo Montoya Torres
Department of Systems Engineering, École de Technologie Supérieure in Montreal, Montréal, Quebec, Canada
School of Engineering, Universidad de la Sabana, Colombia
E-mail: jairo.montoya-torres@etsmtl.ca

Dr. Diana Ramirez-Rios
State University of New York at Buffalo, New York, United States
E-mail: dgramire@buffalo.edu

Dr. Qinyun Zhu
Department of Management Information Systems
San Diego State University, San Diego, California, United States
E-mail: qzhu@sdsu.edu

Special issue information:

Topics of interest include (but are not limited to):

• AI models are robust to data scarcity, heterogeneity, and poor quality for EM-specific risk prediction, forecasting, and monitoring.

• Optimization techniques that incorporate EM constraints (e.g., infrastructure, informality, capital access) in resilience and sustainability trade-offs.

• AI applications to enhance supply chain visibility, traceability, and coordination, particularly across SME-heavy and informal supply networks.

• Design and implementation of low-cost, scalable, and accessible AI decision-support tools for EM firms.

• AI-enabled innovations in circular economy, sustainable agriculture, waste management, and fair labor compliance in EM settings.

• Empirical case studies or pilot projects evaluating the impact of AI on resilience and sustainability in EM supply chains.

• Critical assessments of AI readiness in EMs, including infrastructure limitations, ethical concerns, policy gaps, and digital inclusion.

This special issue aligns with Supply Chain Analytics’ mission to promote analytics solutions that are both methodologically robust and socially impactful, especially in regions critical to global trade, development, and sustainability.