Strong Collaboration: International Institute for Advanced Data Management Study and the Shanghai Cooperation Organization Jointly Promote New Developments in Data Elements

Introduction

1. Data Element Circulation and Digital Economy Capacity Building

According to the 'White Paper on Data Element Circulation in the SCO Economic and Trade Logistics Industry' released in 2023, the SCO is dedicated to enhancing digital economy capacity building among member states, improving the supply and demand of data element circulation. The white paper points out that to narrow the gap in digital economic development among member states and promote balanced and fair circulation of data elements, the SCO is strengthening technical training and exchange among member states, promoting the unification of data standards, and establishing and improving the legal system for data protection. These measures are crucial for building an open, inclusive, and secure environment for data circulation.

2. Promotion of the 'National Data Brain' Solution

On January 12, 2021, the SCO Secretariat and Shenzhen Thousand Cities Algorithm Cloud Technology Co., Ltd. (TCSA) jointly held a promotion meeting for the solution titled 'Building a National Data Brain to Drive Social Stability and Economic Revitalization.' TCSA's proposed 'National Data Brain' solution aims to assist cooperating countries in establishing a national-level macroeconomic digital system, driving sustained economic growth through data. This solution has not only gained recognition from international institutions such as the World Bank and the International Monetary Fund but has also been implemented in multiple countries, demonstrating its significant role in enhancing national data management capabilities.

3. Digital Agriculture and Green Development

During the 2024 Global Digital Business Conference held from October 19 to 20, 2024, experts and entrepreneurs engaged in in-depth discussions on topics such as digital agriculture and green finance. Yi Weiguo, Director of the Urban and Rural Ecological Green Integration Management Committee of the China Green Development Association, emphasized the important role of green finance in promoting the digital transformation of agriculture at the conference. This indicates that the SCO not only values the development of traditional agriculture but also actively seeks to promote the sustainable development of agriculture through digital technology, which aligns well with the concept of a data-driven society advocated by IIADMS.

IIADMS consistently adheres to the core research logic of "people and data" and has a solid foundation in cutting-edge fields such as data strategy, data spectrum, data behavioral economics, AI artificial intelligence, and data scenario design.

1. Data Strategy

In terms of data strategy, IIADMS has explored the development of business models and the dual flywheel logic, effectively helping enterprises or units achieve digital transformation and development, transforming them into data-driven entities. Our research results have been applied in multiple enterprises, significantly enhancing their data management and business operation efficiency.

2. Data Spectrum

IIADMS has compiled the development status of data across various industries and fields both domestically and internationally, creating a data spectrum and waveform chart that clearly defines the data reserves, quality, and development status of different industries. These research findings provide policymakers and businesses with a clear blueprint for data development, aiding them in making more precise and efficient data-driven decisions.

3. Data Behavioral Economics

IIADMS combines the impact of human behavior on the digital economy and the influence of digital business model design on human behavior. In collaboration with British research centers, we are advancing the publication of related papers. These studies not only enrich the academic knowledge system but also offer critical theoretical support for practical applications.

4. AI Artificial Intelligence

In the AI artificial intelligence research area, IIADMS is actively exploring the implementation paths of AI agents to better fit the development of the data age and truly serve humanity. Our research focuses on how to make AI technology more humanized and intelligent, thus playing a greater role in various industries.

5. Data Scenario Design

Combining previous research knowledge and achievements, IIADMS has successfully established a complete theoretical system, methodology, and algorithm for scenario design, capable of finding scenarios where data can maximize its value based on the data type and industry characteristics of enterprises.

1. Data Scenario Design and Smart City Construction

Background: Member states of the SCO generally face urban management challenges due to the accelerating pace of urbanization, making smart city construction a focal point. Data scenario design can effectively improve urban management efficiency and service quality by integrating data with real-world application scenarios.

Opportunities:

• Smart Transportation: Optimize traffic flow management using big data analysis and machine learning technologies to reduce congestion and enhance traffic safety.

• Smart Security: Improve urban security prevention capabilities through video surveillance, facial recognition, and big data analysis.

• Smart Public Services: Develop intelligent government service platforms to simplify citizen procedures and enhance government service efficiency.

Expected Outcomes:

• Improve urban management levels in member states and enhance the quality of life for citizens.

• Form replicable and scalable smart city solutions to aid the urban development of member states.

2. Data Strategy and Digital Economy Capacity Building

Background: There is considerable potential for development in the digital economy among SCO member states, but they face issues such as non-uniform data standards and data security. Research in data strategy can help member states formulate long-term data development plans and promote the healthy development of the digital economy.

Opportunities:

• Data Standard Setting: Assist member states in formulating unified data standards and norms to promote data interoperability.

• Data Security and Privacy Protection: Research and promote advanced data security technologies and privacy protection mechanisms to ensure data security.

• Policy Recommendations and Training: Provide policy recommendations for data strategy planning and conduct training programs in data management and application to enhance the data management capabilities of member states.

Expected Outcomes:

• Establish a unified data standard system to promote data sharing and cooperation among member states.

• Increase the competitiveness of member states in the digital economy and promote regional economic integration.

3. Data Behavioral Economics and Agricultural Digitization

Background: Agriculture is a vital industry for SCO member states, and digital transformation is crucial for improving agricultural production efficiency and ensuring food safety. Data behavioral economics can provide scientific evidence for agricultural policy formulation by analyzing consumer behavior and market trends.

Opportunities:

• Precision Agriculture: Implement precise monitoring and management of crop growth environments using big data analysis and IoT technology to increase agricultural production efficiency.

• Optimization of Agricultural Product Supply Chains: Optimize agricultural product supply chains through data analysis to reduce intermediate links and lower logistics costs.

• Market Forecasting and Risk Management: Study changes in the demand for agricultural products to provide market forecasts and risk management advice, helping farmers avoid market risks.

Expected Outcomes:

• Enhance the level of intelligence in agricultural production in member states and increase farmer income.

• Promote the healthy development of agricultural product markets and ensure food safety.

4. AI Artificial Intelligence and Industry 4.0

Background: SCO member states have broad cooperation foundations in the manufacturing sector, and the advancement of Industry 4.0 will bring new development opportunities. The application of AI artificial intelligence technology can significantly enhance the intelligence level and production efficiency of manufacturing.

Opportunities:

• Smart Manufacturing: Research and promote smart manufacturing technologies to boost the automation and intelligence levels of manufacturing in member states.

• Smart Logistics: Optimize logistics management using AI technology to improve logistics efficiency and reduce costs.

• Construction of Industrial Internet Platforms: Assist member states in building industrial internet platforms to achieve interconnectivity of production equipment and enhance production coordination capabilities.

Expected Outcomes:

• Promote the transformation and upgrading of manufacturing in member states and enhance international competitiveness.

• Form a complete ecosystem of smart manufacturing to promote industrial chain cooperation among member states.

As a leading research institution in the field of international data management, IIADMS will continue to closely monitor the dynamics of the SCO in the areas of data management and application. Through technological innovation and service innovation, we aim to contribute positively to promoting data cooperation and exchange among SCO member states. We believe that through our joint efforts, we can create a brighter future in the context of the new era of data-driven development. IIADMS looks forward to deepening cooperation with the SCO and its member states in areas such as data scenario design, data strategy, data behavioral economics, and AI artificial intelligence, exploring new directions in data management and application together, and achieving mutual benefits and win-win outcomes.

About Us

The International Institute for Advanced Data Management Study Limited —— abbreviated as IIADMS, is a non-profit, supplier-independent institution initiated by Mr. Hu Benli, the current chairman of DAMA China, and others. IIADMS is committed to advancing research in data and data management-related fields and continuously exploring new knowledge and best practices related to data. It strives to become a world-class platform for the exchange of knowledge on data management theory and practice. IIADMS is willing to cooperate with famous forums at home and abroad in various forms to discuss traditional and frontier topics related to data management, sharing the research results of IIADMS with these forums.

Contact Us

WeChat Official Account: IIADMS

Website: http://www.iiadms.com/

Email: study@iiadms.com