Call for contributions: “Discover Internet of Things” (Springer Nature publication)

Collection on “IoT for Intelligent Decision-Making and Human-Centered Service Innovation”

Deadline: June 2026.

https://link.springer.com/collections/gbbgddjecf

The Internet of Things (IoT) has evolved from a network of connected devices into a socio-technical backbone for data-driven, human-centered decision-making. Beyond sensing and connectivity, IoT now enables organizations to integrate people, machines, and infrastructures into intelligent service systems that enhance productivity, resilience, and sustainability across all sectors of the economy.

This Collection positions IoT as a transdisciplinary catalyst for decision intelligence and service innovation, emphasizing the use of real-world data to inform, model, and optimize decision processes. We invite contributions that demonstrate how IoT transforms raw data into actionable, explainable insights, enabling better choices and improved system performance for individuals, enterprises, and societies.

Key focus areas include (but not limited to):

• IoT-Driven Data Ecosystems: Architectures and standards for interoperable, secure, and real-time data acquisition across edge, fog, and cloud environments.
• Data-to-Model Transformation: Methods for converting raw IoT data into analytical, statistical, or physics-informed models supporting prediction, diagnosis, optimization, and control.
• Digital Twins and Simulation Intelligence: IoT-enabled virtual representations for real-time learning, scenario evaluation, and decision optimization in dynamic and uncertain systems.
• AI-Enabled Decision Intelligence: Integration of IoT data streams with AI, machine learning, and control-theoretic frameworks to enable adaptive, explainable, and autonomous decision-making.
• Human-Centered Systems and Hybrid Intelligence: IoT-driven integration of human insight and machine intelligence for adaptive automation, trusted collaboration, and worker well-being.
• Service Innovation and Value Co-Creation: IoT-enabled service systems that combine data, intelligence, and human interaction to deliver new forms of economic, social, and environmental value.
• Resilient and Sustainable Systems: Applications of IoT-based decision models to enhance robustness, resource efficiency, and sustainability across manufacturing, energy, healthcare, logistics, and urban infrastructure.
• Cross-Domain Demonstrations: Empirical and theoretical studies showcasing IoT-driven decision intelligence across domains such as manufacturing and supply chains, energy and renewables, healthcare, agriculture, mobility, retail, mining, and smart cities.

By bridging human insight, services, data, and decision intelligence within a unified framework, this Collection underscores IoT’s foundational role in shaping intelligent, resilient, and sustainable socio-technical systems for the 21st-century service economy.

This Collection supports and amplifies research related to SDG 3, SDG 7, SDG 9, SDG 11, SDG 12 and SDG 13.

Keywords:Internet of Things; Decision Intelligence; Service Systems; Digital Twins; AI and Optimization; Human-Centered IoT; Smart Manufacturing; Sustainable Supply Chains; Energy and Renewables; Smart Cities; Health and Wellness; Transportation Systems; Asset Lifecycle Management; Mining and Natural Resources

Discover Internet of Things is an open access journal publishing research across all fields relevant to the Internet of Things (IoT), providing cutting-edge findings to researchers, academicians, students, and engineers.

• Indexed in DOAJ, Ei Compendex and Scopus with a CiteScore 2024 of 8.4.
• Publishing research at the component and system level as well as programming and software.
• A journal in Springer Nature’s Discover Series: Rigorous, representative and wide-reaching.