https://www.sciencedirect.com/special-issue/318562/analytics-and-data-science-for-sustainability
Guest editors:
Professor Janny M.Y. Leung
University of Macau, Taipa, Macau
Dr Adibah SHUIB
University of Technology Malaysia, Skudai, Malaysia
Special issue information:
This special issue calls for papers that explore the use of analytics and data science to address problems related to sustainability and development. While the Special Issue is associated with the APORS Conference 2024, the call is open to all submissions to the journal related to the theme of the Special Issue.The objective of this special issue is to promote the use of analytics and modelling in support of decision-making in tackling these global concerns. Papers on the use of analytics and data science and the development of new methodologies for addressing problems related to the UN’s Sustainability Goals are invited. Papers that showcase the application of innovative models and methods leading to policies that yielded practical impact are especially encouraged.
AIMS AND SCOPE
This special issue calls for papers that explore the use of analytics and data science to address problems related to sustainability and development. While the Special Issue is associated with the APORS Conference 2024, the call is open to all submissions related to the theme of the Special Issue.
In this increasingly inter-connected world, events in one region (e.g. natural disasters, political or military conflicts, infectious diseases) have repercussions and impacts in the rest of the world. Hurricanes and earthquakes disrupt the global supply chain for essential resources. Embargos and other trade frictions affect international commerce. Meanwhile, emergence of infectious disease requires dramatic measures for disease transmission control and risks reduction for everyone. Every country and region is affected by various emerging crises and situations in different parts of the world. For each community, resilience and sustainability of the supply of essential resources and system infrastructure is a critical concern. Problems of poverty, public health, education, economic development, equity and environmental protection as described in the UN’s Sustainable Development Goals (see https://www.un.org/en/common-agenda/sustainable-development-goals) are complex and difficult issues facing communities all over the world.
Given the scale, scope and widespread impact of these problems, transformative technologies and policies are needed to tackle these sustainable development goals. In particular, more research into understanding the root causes and investigations of innovative strategies to address these problems are urgently needed. Analytics and data sciences are essential to make informed decisions and create pathways and initiatives for sustainability.
This special issue aims to promote the use of analytics and modelling in tackling these global concerns. Papers on the use of analytics and data science and the development of new methodologies for addressing problems related to the UN’s Sustainability Goals are invited. Models and methods that enrich our understanding of sustainability are welcome. So are case studies that highlight the sustainability challenges in different contexts. Papers that showcase innovations that yielded practical impact are especially encouraged.
Topics of interest include, but are not limited to:
Manuscript submission information:
The APC (Article Publishing Charge) will be covered by IFORS for all papers submitted by 1 April 2026. Submitted papers should be original works and should not have been previously published or currently considered for publication elsewhere. The manuscripts should be prepared according to the Guide for Authors available at https://www.sciencedirect.com/journal/sustainability-analytics-and-modeling/publish/guide-for-authors.
All manuscripts should be submitted electronically using the journal's online manuscript submission system at https://www.editorialmanager.com/samod/default.aspx. When prompted for the article type, please select, "VSI: Analytics and Data Science for Sustainability".
On the Attach Files screen, please submit the Manuscript, Highlights, Cover Letter summarizing the contributions of the paper, and Conflict of Interest Declaration (template available at https://service.elsevier.com/app/answers/detail/a_id/286/supporthub/publishing).
At the Review Preferences screen, you may suggest potential reviewers for this submission and provide specific reasons for your suggestion in the comments box for each person.
Manuscripts submitted after the deadline may not be considered for the special issue and may be transferred, if accepted, to a regular issue.
Eligible submissions will be immediately submitted to the peer review process by the guest editors.
Accepted papers will be published online immediately. Thus, papers submitted early will also be published well ahead of the scheduled publication date for the special issue.
Deadline for submission: 31 March 2026