Introduction

In response to the new opportunities and challenges presented by the digital intelligence era to global higher education, Peking University has collaborated with 32 universities worldwide to establish the Digital Intelligence International Development Education Alliance (DI-IDEA). Pursuant to the arrangements made by the Alliance, we are pleased to announce the launch of the Global Digital Intelligence Education Innovation Competition.

This competition aims to enhance communication and collaboration among member universities of the Alliance and extend these interactions to include other universities worldwide.

Through this competition, we seek to promote teaching and learning and explore new paradigms for the nurturing of innovative talent for the digital intelligence era. The competition is divided into Al for Science, Al for Education, and Al for Learning.

DI-IDEA Members
*The member list is alphabetically sorted by English name
American University of Sharjah Cairo University Digital Education Futures Initiative, University of Cambridge
Fudan University Harbin Institute of Technology King's College London
Korea University Lanzhou University Lingnan University
Mahidol University Nanyang Technological University Nanjing University
Peking University (DI-IDEA Secretariat) Shanghai Jiao Tong University Singapore University of Social Sciences
Southeast University Sun Yat-sen University Taejae University
The Chinese University of Hong Kong The London School of Economics and Political Science The University of Hong Kong
University of Auckland University of Campinas University of Cape Town
University of Macau University of Malaya University of Science and Technology of China
University of Strathclyde Vietnam National University, Hanoi Wuhan University
Xi’an Jiaotong University Zhejiang University
Competition Format
DP Technology, and several other companies provided support and technical platforms for various tracks (Welcome to use the platforms: DP Technology).
AI for Science
Innovation Track
Sustainable Development and Cultural Preservation Track
Application Development Track

With the rapid advancement of artificial intelligence, AI has achieved human-comparable performance in cognition and perception.AI4S is set to accelerate humanity’s understanding of nature, addressing critical challenges in medicine, energy, and materials science.

  • Intelligent Experimentation
  • Geoinformatics
  • .High-Performance Computing

Intelligent Experimentation

This topic focuses on the automation and intelligent control of organic chemical synthesis. Participants will use laboratory control software, provided components, and experimental protocols to design and implement automated synthesis workflows.

Geoinformatics

This topic invites participants to explore innovative applications of aerospace information combined with AI and big data. Teams will define their own problems and propose creative, feasible solutions with societal impact. The focus is on advancing AI-powered aerospace data processing and analysis in areas such as agriculture, forestry, transportation, and urban governance.

High-Performance Computing

This topic focuses on the high-performance optimization of large AI for Science models, addressing challenges in adapting and optimizing them for various hardware platforms. Participants are required to deploy workflows on domestic hardware, optimizing algorithms or adaptation strategies to enhance performance while maintaining a certain level of effectiveness.

AI for Education
Innovation Track
Sustainable Development and Cultural Preservation Track
Application Development Track

The rapid evolution of artificial intelligence (AI) is transforming the landscape of education, offering unprecedented opportunities to enhance teaching, learning, and assessment. While much attention has focused on the implications of AI for students, there is an equally vital need to empower educators to harness these technologies creatively and critically.

The competition is open to individuals or teams working in any higher education context or disciplinary setting. Entries may involve the application of existing technologies in novel contexts or the development of new technologies to address an educational challenge. What is essential, however, is that the project involves not just a ‘vision’ or a ‘demonstration’ of the potential of AI in education, but reports on its implementation and evaluation in an authentic educational setting.

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Eligibility for Participation
  1. 1
    AI for Science: Participants must be full-time undergraduate, master’s, or doctoral students at institutions of higher education, or individuals who graduated from or left such institutions within the last three years (after January 1, 2022). The status of being a student is determined as of the official announcement date of the competition.
    AI for Education: Participants must hold teaching roles in higher education institution (university or college) which may be academic, vocation, or pre-professional in character.While teams may include non-teaching staff (e.g. working in teaching support, learning technology development, library and learning resources) the team lead must have a teaching responsibility. Postgraduate students who are involved in teaching are eligible for entry.
  2. 2
    Each participating team may have no more than ten members, with no more than five members from the same institution of higher education. Each individual may join only one project in the AI4S Track.
  3. 3
    Each participating team can choose whether to appoint instructors, with a maximum of three allowed.
  4. 4
    Detailed personal identification information, team details, and instructors information will be collected in the semifinal stage for eligibility verification.
  5. 5
    During the competition, if any submitted materials are found to be false, or if any participants are caught plagiarizing or violating others’ intellectual property, the participants involved will be disqualified.
  6. 6
    Personnel involved in topic compilation and those with access to data from the competition organizers and technical support teams, as well as their close relatives, are prohibited from participating.
Competition Schedule
*The schedule is based on Beijing time. The Organizing Committee reserves the right to update the competition schedule and format as necessary.
  • AI for Science
    Intelligent Experimentation
  • AI for Science
    Geoinformatics
  • AI for Science
    High-Performance Computing
  • AI for Education
  • Registration
  • 04/20/2025 - 05/31/2025
  • 04/20/2025 - 05/31/2025
  • 04/20/2025 - 05/31/2025
  • 04/20/2025 - 05/31/2025
  • Preliminary Round
  • 04/20/2025 - 06/15/2025
  • 04/20/2025 - 06/15/2025
  • 04/20/2025 - 06/15/2025
  • 04/20/2025 - 09/12/2025
  • Semi-final Round
  • 06/30/2025 - 08/31/2025
  • 06/30/2025 - 08/31/2025
  • 06/30/2025 - 08/31/2025
  • ————
  • Final Round
  • September to October
  • September to October
  • September to October
  • End of September
    specific date to be announced later
  • Award Ceremony
  • Early November 2025
    (Beijing)
  • Early November 2025
    (Beijing)
  • Early November 2025
    (Beijing)
  • Early November 2025
    (Beijing)
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