IIADMS:Leading the Future of Data Science, Building a Global Intelligent Ecosystem

The International Institute of Advanced Data Management (IIADMS)

As a Hong Kong-based, globally connected non-profit academic platform, IIADMS is founded and led by Mr. William P. Hu, former World Bank Chief Technology Officer, and brings together international thought leaders including Dr. David Wu, Mr. Huan Ma, and Professor Guochao Peng. The Institute is committed to building a dual-driven framework of "Cognitive Science + Practical Applications" in data management.

To date, IIADMS has established strategic partnerships with 20+ global organizations, including the Shanghai Cooperation Organization (SCO) and the International Data Spaces Association (IDSA), and has initiated multiple groundbreaking research initiatives in the field of data science.

The International Institute of Advanced Data Management (IIADMS) focuses on six core research areas to drive theoretical innovation and industry integration:

1. Data Spectrum Analysis

Pioneering cross-industry data interoperability difficulty visualization maps

2. Trusted Data Spaces

Building a "data usable but invisible" security framework combining blockchain + federated learning

3. Data Strategy Empowerment

Developing paradigmatic pathways for enterprise digital transformation and upgrading

4. AI & Artificial Intelligence

Researching the impact of generative AI and other AI tools on the digital economy

5. Digital Behavioral Economics

Exploring the influence of human-data interaction behaviors on the digital economy

6. RWA Innovation Practice

Investigating data capitalization and issuance methods to advance digital financialization.

Global Network

Established research branches in the UK, Japan, and New Zealand, with Germany and Singapore under active preparation.

Domestic Matrix
Covers 7 key regional research centers across strategic locations including East China (Zhejiang), Northwest China (Xi'an), and North China (Tianjin).

Industry-Academia Integration
Operates vertical-sector research hubs (e.g., smart mobility, tea industry) to develop industry transformation benchmarks.

Global Collaborations & Knowledge Initiatives

The International Institute of Advanced Data Management (IIADMS) partners with the SCO Multifunctional Economic and Trade Platform - Data Assets Comprehensive Service Committee, Asia-Pacific Artificial Intelligence Association (AAIA), Dun & Bradstreet Global Commercial Data Network, Global Data Elements 50 Forum, and International Data Spaces Association (IDSA) to co-develop cutting-edge research projects on data elements. These initiatives aim to:

Transform research outcomes into practical frameworks

Cultivate professional talent pipelines through targeted education & training programs

Advancing Trusted Data Spaces
IIADMS actively promotes the development of trusted data space ecosystems, supporting cross-border data space seminars with global partners to:

Facilitate frontier knowledge exchange

Accelerate the global advancement of data element commercialization.