Calls for Papers

Virtual Special Issue on the Dual Edge of AI

Submission Deadline June 1, 2026 (submission closed, revision only)

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.

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Second Virtual Special Issue on GenAI and LLM 

Submission Deadline March 1, 2027

The rapid advancement of generative AI (GenAI) and large language models (LLMs) 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, problem-solving, and analytics. These technologies are not only pushing the boundaries of what is possible in data science but also presenting remarkable opportunities and significant research challenges for the INFORMS community. Following the success of the first IJDS special issue on the same topic, this special editorial team is launching a second special issue to keep exploring the transformative potential of GenAI and LLMs..

For additional information see Call for Papers—INFORMS Journal on Data Science Second Virtual Special Issue on GenAI and LLM.