Working groups interested in writing a white paper can find additional information in this White Paper Criteria List (PDF) and should use this downloadable template (DOCX) to draft their paper.
Industry Connections program working groups can develop a white paper using this downloadable template (DOCX).
Those members drafting a white paper for ICAP should use this downloadable template (DOCX).
All groups are encouraged to download and consult the IEEE SA Non-Standard Projects Style Manual (PDF).
Low-Carbon Transition of Building Electrical Systems: Technology Integration, Standardization, and Carbon Neutrality Pathways
The paper focuses on the emerging Photovoltaic–Energy Storage–Direct Current–Flexibility (PEDF) building microgrid concept and evaluates its architecture, control strategies, equipment requirements, and operational characteristics. It reviews the current state of technology and industry trends, identifies technical and interoperability challenges, and examines opportunities and considerations associated with broader deployment. Based on…
Ethical Principles for Engineering Digital Services for Children
Prior work on the ethics of engineering digital products and services for children has led to a patchwork of proposed principles. There appears to be limited ethics education embedded within traditional digital engineering curricula, which may be one of several factors relevant to understanding the risks and harms children and…
Interoperable Semantic Architectures for Traditional, Complementary, and Integrative Medicine In Electronic Health Record Systems
This white paper addresses the challenge of integrating traditional, complementary, and integrative medicine (TCIM) into modern electronic health record (EHR) systems. While current EHRs support biomedical interoperability, they often lack structured, machine-interpretable mechanisms for capturing TCIM diagnostic frameworks, interventions, and therapies. Building on IEEE Industry Connections definitions of EMRs and…
Global Data Quality and Governance as the Cornerstone of AI Decision Support in Healthcare
Artificial intelligence (AI) in healthcare is only as trustworthy as the data it learns from and the context in which that data is used. This white paper explains why global data quality is the foundation for decision support in Healthcare AI applications and outlines the practical steps that health systems,…
Aspects and Challenges of Patient-Controlled Electronic Health Records
As governments increasingly adopt digital health services and digital access becomes ubiquitous through internet and mobile technologies, differing approaches to personal health record (PHR) systems have become more apparent. Across countries and economic regions, successful implementation and widespread adoption have led to the emergence of de facto models that reflect…
Establishing Trust Technology Standards for Connected Health Applications and Devices
This white paper examines a layered approach to protecting patient and healthcare‑worker information across clinical, operational, and administrative systems. Many healthcare organizations rely on a combination of certificate‑based security, network‑level filtering technologies, authentication and authorization mechanisms, and device‑level protections to support compliance with applicable privacy and security frameworks. Recent FDA…
Research on Marine Standardization Practices
Intelligent marine equipment, marine data communication, and marine energy are the focus of this report. The global and national progress of marine standardization is reviewed, existing problems and challenges are analyzed, and countermeasures to promote high-quality development of marine standardization are put forward. These fields are highly compatible with IEEE’s…
Data Intelligence Service Industry Development Report
To better promote the development of the data intelligence service industry, this report researches its definition, core elements, industrial chain, innovation models, and other aspects. The first part clarifies the concept definition, connotative characteristics, and global development trends of the data intelligence service industry; the second part analyzes its key…
Digital Product Passport Technology Development Report (2026)
Sustainable Products Regulation (ESPR) is emerging as a key enabler of a global circular economy. Although initially a regional requirement, DPPs are increasingly being adopted worldwide, with major economies such as the United States, China, Japan, and Singapore advancing related initiatives. A DPP is a machine‑readable, interoperable dataset linked to…
The Automotive Industry in Turmoil—Chiplets to the Rescue?
The automotive industry is at a technological inflection point as increasing system complexity, performance demands, and cost pressures expose the limitations of traditional monolithic SoC‑based ECU architectures. The transition toward centralized, high‑performance, server‑like vehicle computing motivates the adoption of alternative design approaches. This white paper summarizes insights from the IEEE…
Localized Community Networks Co-Create the Internet and Preserve Cultural Ethics: A Case Study from India
The paper focuses on a decentralization model of connectivity that helps preserve cultural ethics and enables communities to co-create the internet. Internet Society (ISOC) defines Community Networks (CNs) as such local telecommunication infrastructures that are built, managed, and operated by local communities serving the rural and unconnected population who cannot…
Global Development Trends of Data Centers
The Global Development Trends of Data Centers white paper aims to provide a comprehensive analysis of the current status, trends, and challenges with respect to data centers and computing technologies globally, and capture the future trends.
Review of Industry Efforts and Standards of Grid Readiness For Data Center Deployment
As the worldwide demand to build and operate data centers continues to grow, regions hosting these data centers are experiencing infrastructure bottlenecks and risks to grid reliability due to the influx of large data centers. This report provides an overview of the various efforts underway to develop technical requirements for…
Updating ePHI Definitions: Audit Trail and Audit Data
The growing complexity and integration of electronic health records (EHRs) demand urgent modernization of audit data and audit trail standards. This paper examines current auditing standards for electronic protected health information (ePHI), highlighting their limitations in ensuring transparency, accountability, and interoperability in an increasingly digital and AI-integrated healthcare environment. Definitions…
Zero-Trust Technology and Industry Development
This white paper introduces the development history of the zero-trust concept and the current status of the zero-trust industry and proposes three key players in the zero-trust industry. Starting from the overall architecture of zero-trust, this paper further enumerates a series of zero-trust key technologies and demonstrates the overall structure…
Quantum Technologies for Emerging and Future Applications
This white paper holistically considers an integrated, cross-technology roadmap that utilizes the interdependence among quantum computing, communication, materials, devices, and measurements. By evaluating the feasibility of future applications and identifying technological bottlenecks, this approach helps researchers focus on critical challenges and guides investors in building resilient, diversified supply chains. Startups…
Applying a Climate--Health Foundation Model: Integrating Environmental Data, Health Outcomes, and Workforce Adaptation
This report examines emerging practices in climate–health data integration and introduces Biosurveillance Engine for Adaptive Resilience (BEAR)—a federated, standards-based, and governance-driven framework designed to learn from multimodal data sources to strengthen adaptive governance, predictive surveillance, and workforce resilience. Drawing on case studies, this paper analyzes applications of geospatial, environmental, and…
Toward Practical Anonymity: A White Paper on Privacy Risk, Metrics, and Governance in Synthetic Data
Structured synthetic data is presented as a maturing technology for privacy preservation that facilitates compliance with data protection regulations. The difficulty of defining when such data can be considered anonymous under existing legal frameworks is highlighted, given the absence of a universal standard, even as emerging best practices begin to…
Zero Trust Gap Analysis for Health Technology
This document examines cybersecurity gaps within healthcare technology frameworks, analyzing weaknesses in outdated infrastructure, cloud deployments, and connected medical devices. Conventional boundary-focused security approaches fail to counter sophisticated threats targeting healthcare entities, including encryption-based extortion, social manipulation, and unauthorized data extraction. This analysis reveals how identity-centric verification models, employing persistent…
AI Meets the V-Model: Why It Is Not A Luxury, But A Necessity
Artificial intelligence (AI) is rapidly changing the automotive industry. Advanced driver-assistance systems (ADAS) features, such as hands-free driving, intelligent braking, and real-time traffic sign recognition, driven by machine learning, are no longer science fiction. However, despite the excitement surrounding AI, a significant challenge has emerged: how can the automotive industry…