Calls for Papers

Virtual Special Issue on Generative AI, Foundation Models, and Deep Learning with Applications to Business Analytics

Submission deadline passed. Only revisions are accepted.

The rapid advancement of generative AI (GenAI), foundation models (large language models in particular), and deep learning more broadly has ushered in a new era of data science, fundamentally transforming how organizations and individuals approach problem-solving and analytics. These tools can significantly enhance the capabilities of organizations and individuals in decision-making and problem-solving. These technologies are presenting remarkable opportunities and significant research challenges for the INFORMS community. This special issue seeks to explore their transformative potential across three areas: innovative applications in data science, understanding GenAI, LLMs, and Deep Learning in a practical context, and societal impact and policy implications.

For additional information, see Call for Papers—INFORMS Journal on Data Science Virtual Special Issue on Generative AI, Foundation Models, and Deep Learning with Applications to Business Analytics.

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Virtual Special Issue on Data Science for Digital Twin Technologies

Submission Deadline February 15, 2026 (extended from January 15, 2026)

Digital twins are virtual replicas of physical systems. At the heart of the digital twin concept lies the notion of “twinning,” which underscores the essential requirement for the virtual counterpart to closely mirror the behavior of the physical system. Data science innovations play a crucial role in making a digital replica a true twin of the corresponding physical system. This special issue seeks to explore the intersection of data science and digital twin technologies, fostering interdisciplinary research that enhances the accuracy, reliability, and operational value of digital twins. We invite submissions that demonstrate how data science innovations advance the design, implementation, and application of digital twins.

For additional information see Call for Papers—INFORMS Journal on Data Science Virtual Special Issue on Data Science for Digital Twin Technologies.

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Virtual Special Issue on the Dual Edge of AI

Submission Deadline June 1, 2026 (extended from May 1, 2026)

Artificial Intelligence (AI) is playing a pivotal role in redefining modern energy systems. On one edge, AI empowers transformative capabilities—from forecasting and optimization to real-time control and intelligent decision-making—enabling more resilient, efficient, and adaptive energy infrastructure. On the other edge, the rapid proliferation of AI technologies, including large-scale data centers, machine learning workloads, and autonomous digital systems, places mounting stress on energy supply, system stability, and sustainability goals. This dual role positions AI as both a catalyst and a challenge in the evolution of energy systems. As such, it demands a new wave of interdisciplinary research that not only harnesses AI for energy innovation but also interrogates its implications for long-term resilience, equity, and sustainability.  This virtual special issue aims to bring together cutting-edge research at the intersection of AI and energy systems. We seek submissions that explore novel AI methodologies, critical analysis, and system-level innovations that address the dual-edge nature of AI in the energy domain.

For additional information, see Call for Papers—INFORMS Journal on Data Science Virtual Special Issue on the Dual Edge of AI: Catalyzing and Challenging the Future of Energy Systems.

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Virtual Special Issue on Artificial Intelligence and Data Science for Healthcare 

Submission Deadline September 15, 2026

Artificial Intelligence (AI) and data science tools provide enabling technologies to facilitate the transformation of healthcare from reactive care to preventative care. For one, AI- and data-driven solutions can enhance efficiency, reduce costs, and improve equity in healthcare delivery systems. Moreover, they can integrate multi-modal continuous streams of patient data for care personalization, engaging various stakeholders for resilient and patient-centered decision-making.  This special issue seeks to explore the role of AI and data science in tackling grand challenges in healthcare, from drug discovery and hospital operations to multi-modal data integration, model personalization, patient engagement, and global health disparities. IJDS invites submissions that report on the original design and deployment of AI solutions within a healthcare setting.

For additional information see Call for Papers—INFORMS Journal on Data Science Virtual Special Issue on Artificial Intelligence and Data Science for Healthcare.