Nowadays, the world is embarking on a process of transformation in the underlying dynamics of the digital ecosystem. With the aim of mitigating systematic cyber risks and reshaping the global competition landscape of digital industries, the developed countries are pushing the paradigm shift in the underlying dynamics of the digital ecosystems. Thorough research on this subject holds immense significance for boosting China's strength in cyber, digital, and intelligent development. Focusing on major developed countries, this study integrates literature reviews, intelligence analysis, and comparison study to investigate the essence, driving factors, primary objectives, and outlook of this shift. Drawing upon the fundamental principles of a paradigm shift, the study explores the core features of this underlying-dynamics shift, spanning aspects like mindset, methodology, practical norms, advancement strategies, security commitments, and ecological incubation models. Additionally, it delineates emerging trends, technological frameworks, and associated governance principles related to this paradigm shift. Challenges faced by developed countries' transformation strategies are discussed, along with the enabling advantages of China's endogenous security and safety (ESS) theory. The research puts forward five recommendations: (1) leveraging the first-mover advantage of the ESS theory to overcome limitations; (2) addressing pain points in critical areas of digital transformation; (3) maximizing the advantages of the large-scale domestic market by introducing more effective industrial policies to bolster novel paradigm shifts; (4) renewing the concept of personal training by cultivating responsible developers with "security-by-design" capabilities; and (5) enhancing the trustworthiness of Chinese digital products through technological innovation, thus facilitating China's Going Global initiative.

The digital economy has become a prevailing trend in contemporary development. Establishing a national unified data-element market is crucial for advancing the digital economy and accelerating the formation of a new development pattern. This study explores the concept and implications of a unified data-element market. Considering the current status of the data-element market, this study summarizes the challenges faced in building such a market in China, including issues related to the institutional system, infrastructure, technical services, and market standards. A multi-layered data-element market structure is constructed, and a targeted framework for China's unified data-element market is proposed, along with key points for building a market ecosystem, transaction platforms, and support systems. Moreover, the study proposes a "two-stage, four-step" development path, emphasizing the high-quality supply and secure storage management of data elements during the market infrastructure construction stage, as well as the efficient trading circulation and practical application performance during the scenario-driven service stage. Furthermore, it is recommended to increase policy support, strengthen infrastructure construction, standardize data norms, break down data barriers, and foster a favorable ecosystem to expedite the establishment of a healthy, stable, and efficient data market, thereby promoting the high-quality development of the digital economy.

The digital economy encompasses both the industrialization of digital technologies and the digital transformation of industries. Digital industrialization serves as the foundation of the digital economy and acts as a driving force for the digital transformation of industries. This study employs problem-oriented approaches, comprehensive gap analysis, and the combination of qualitative and quantitative methods to explore the tasks and approaches for the high-quality development of digital industrialization in China. The study systematically analyzes the policy guidance, technological advancement, and industrial practices of digital industrialization in major economies around the world. It examines the status, gaps, and weaknesses regarding digital industrialization in China, identifies the primary issues affecting the high-quality development of digital industrialization, and proposes key tasks and policy recommendations for promoting the high-quality development of China's digital economy. Specifically, efforts should focus on building a coordinated development system between the central and local governments, strengthening the research and development of common key technologies to promote the deep integration of technological and industrial innovations, and improving the innovation ecosystem of digital industrialization to promote the coordinated development of various innovation entities in digital industrialization. Furthermore, policy recommendations include constructing a technical framework for the value realization of digital factors, strengthening the construction of talent teams to build a highland for talent innovation in digital industrialization, and conducting deep international cooperation in digital industrialization to share the achievements of the digital age with countries along the Belt and Road.

Under the impetus of the paradigm shift driven by the global digital ecosystem, cybersecurity has become a critical issue of ever-increasing importance. This study provides an in-depth analysis of the current state and future trends of cybersecurity strategies and methods, offering a comprehensive assessment of the changes in the global cybersecurity landscape. It details the development of international cybersecurity strategies, with a focus on the policies of the United States and the European Union. The study also explores mainstream cybersecurity methods such as cyber resilience, security by design, and zero trust, as well as China's original theories on endogenous safety and security and the mimic defense technology. Based on this, this study points out that the cybersecurity development in China has advantages such as a vast-market application scenario, a complete information industry chain, a systematic talent training system, and original technical theories. However, there is still room for improvement in security responsibility allocation mechanisms, legal system completeness, and security standards development. The study recommends accelerating the formulation of cybersecurity policies and regulations with Chinese characteristics, constructing a cybersecurity architecture based ons endogenous safety and security, and shifting cybersecurity responsibilities from the user side to the manufacturing side. These measures aim to provide strong support for establishing a comprehensive cybersecurity responsibility and quality control system, enhancing the overall security of digital products.

The data and computing convergent network (DCCN) is an intelligent communication network infrastructure tailored for data space applications. It promotes data space construction, data elements circulation, and integration of computing power and data. It also provides technical support for economic growth related to data rights, data circulation, and data transactions. This study defines the DCCN, outlines the key functions of its data plane, control plane, and orchestration layer, reviews the macro development requirements of the DCCN, and discusses the current development status and international trends of DCCN technologies. It further studies key DCCN components and technologies, including end sides, internal networking of data centers, data center exits, communication among data centers, networking among computing centers, networking between data and computing centers, control layers, orchestration layers, and security systems. Moreover, the study introduces application scenarios and cases of DCCNs, including east‒west data-center interconnections, computing power networks in urban areas, industrial extranet interconnections, energy facility interconnections, and industry-scale large models. Research also covers the challenges of developing DCCNs, based on which, we propose the following suggestions for developing the DCCN: (1) establishing public specialized networks that support the high-quality development of industry-scale large models; (2) promoting the construction of DCCN-based scientific facilities, serving national scientific development; (3) using the DCCN to promote applications in data spaces; (4) carrying out large-scale collaboration among computing facilities to overcome the bottleneck of insufficient computing capability at a single point. The suggestions aim to provide references for the development of DCCN infrastructures.

The concept of data as a new factor of production is a significant theoretical innovation put forward by China, based on a precise understanding and prediction of global technological development trends. With the market-oriented allocation reform of data elements as the main line, cultivating a national integrated data market to promote data utilization is the general program for the innovative development of China's data elements. It introduces the fundamental theory of a data field and examines key technologies such as cross-domain data management, data encapsulation, low-entropy data circulation, penetration security, and fusion processing technology. Moreover, the study analyzes engineering practice cases of data fields in health scenarios, proposes innovative application scenarios and engineering practice paradigms for data fields, and looks forward to the prospects in the fundamental theory, key technologies, engineering practices, and ecological construction of data fields, aiming to provide theoretical and practice guidance for data field development and support the modernization of the digital economy and social governance.

As the new round of scientific and technological revolution and the industrial transformation accelerate, data has become a new key factor of production, profoundly changing the way of production, life, and social governance. Constructing a data space to promote the safe and orderly circulation of data and the efficient realization of data values has been highly concerned by all sectors of society. This study sorts out the relevant research and practical experiences in data space in China and abroad, and proposes four types of data space from a driving factor perspective: strategy-leading, technology-driven, demand-driven, and ecological-enabling. Additionally, it summarizes four construction modes: "government-led + data infrastructure," "technology innovation + data development and utilization," "scenario-driven + industrial transformation and upgrading," and "service cooperation + digital city construction." Furthermore, the following suggestions are proposed: improving the policy support mechanism, strengthening key technologies, deepening the development of application systems, and launching pilot demonstration projects, thus to provide references for China to construct an internationally advanced data space with Chinese characteristics.

China is deepening its digital transformation and promoting a data-driven action plan, proposing new requirements for the construction of data infrastructure. Like conventional information infrastructure types, data infrastructure needs to possess an anti-surveying-and-mapping capability to avoid being detected in one-way and transparent manners. The anti-surveying-and-mapping capability of data infrastructure has become a fundamental requirement for data space security, directly related to the information security of a country, society, and individuals. This study outlines the basic concepts of data infrastructure surveying-and-mapping and anti-surveying-and-mapping, analyzes the development status, major characteristics, and key problems of mainstream anti-surveying-and-mapping technologies, and proposes the theory, methods, and key technologies of anti-surveying-and-mapping with endogenous security, to solve the key problem of inherent measurability of data assets under the existing network architecture. To this end, the following suggestions are proposed: strengthening research on the basic theories and key technologies regarding data space anti-surveying-and-mapping; taking anti-surveying-and-mapping capability as the basic requirement of national data infrastructure construction; and increasing support for key technology research, industry incubation, multidisciplinary integration, and industry-university-research collaboration.

In the digital era, the challenges of data sovereignty and the conflict between personal data privacy protection and efficient access are becoming more pronounced. As a critical foundational support for resolving this contradiction, the digital identity framework holds significant research values. Based on a review of the research and development trends in cross-border digital identity authentication models, this study proposes a decentralized, distributed framework for cross-border identity authentication. The framework incorporates a data classification and grading strategy, and features three core components: a blockchain-based decentralized identity management mechanism, a universal certification pool model for dynamic data attribute classification and grading, and privacy protection and access control strategies. These components are designed to overcome the trust and compliance issues inherent in traditional centralized models in cross-border scenarios. Furthermore, this study delves into the application challenges of the cross-border digital identity authentication framework, such as the efficiency and accuracy of attribute association and heterogeneous grading, and the strategic interaction of trust boundaries for attribute authorization between cross-border parties. It refines corresponding solutions from the perspectives of application encapsulation of the authentication framework through application programming interface (API) models, evaluation criteria for the authentication framework, and implementation pathways. The proposed framework not only provides practical references for cross-border digital identity authentication but also offers new technical insights and implementation pathways for establishing unified standards and security protocols for cross-border data flow.