Thematic Track
Frontier Science and Responsible AI
Indicative Topics
Example
Bilingual ID–CN scientific models; evaluation benchmarks for RAG; protocols for compute/CO₂e reporting.
theory/experiment/computation; machine learning for science; multimodal & multilingual (ID–CN) GenAI; retrieval‑augmented generation with grounded citations; evaluation & benchmarking; hallucination mitigation; agentic scientific workflows; open & reproducible science (code/data availability); efficient/green AI (compute budget reporting, distillation, sparse/low‑rank); data provenance, privacy, security, and AI safety.
Advances in basic/applied science and AI as a scientific enabler that is safe, ethical, and resource‑efficient.
Technology and Digital Infrastructure for Transformation
interoperable data/IoT; edge–cloud architectures; cybersecurity; digital twins; robotics & automation; scientific instrumentation; advanced materials & manufacturing; scientific computing & pipelines; collaborative ID–CN data architectures; open data and open tooling platforms.
Example
Energy‑efficient edge AI for predictive maintenance; Cross‑vendor industrial data platforms; Reproducible instrumentation pipelines.
Engineering, systems, and platforms that connect research to implementation.
Indicative Topics
Sustainable Development and Socio‑Environmental Resilience
Science‑based development that is environmentally considerate, socially just, and resilient (not limited to “low‑carbon”).
resource governance; food–water–land systems; biodiversity & nature‑based solutions; inclusive smart cities & villages; circular economy; risk & disaster management; financing for sustainable innovation; policy & political economy for adoption of environmentally friendly technologies.
Example
circular‑economy living labs; coastal NbS with co‑benefit metrics; financing instruments for locally adapted science‑technology solutions.
Intelligent Systems
Data & Computing
Open Platforms
Security & Manufacturing
Indicative Topics
Health, Biomedicine and Precision Public Health
Indicative Topics
AI/ML for biomedicine & health; disease surveillance & early warning; environmental & climate health; digital health & interoperability; clinical trials & real‑world evidence; data ethics & security; One Health; inequities & access; education & health literacy.
Example
Foundation models for radiology/dermatology (ID–CN); Environment‑linked early warning systems; EHR interoperability with privacy‑preserving methods
Note:
Health as a pillar of sustainability—from omics to data‑driven public health.
Field of Study
Policy & Governance
Sustainable Finance & Economics
STEM
Energy & Industrial Technologies
Cities, Infrastructure & Built Environment
Earth, Climate & Land Systems
Health & Biomedicine
Society, Culture & Linguistics
research / innovation finance, market instruments, data economy
regulation, standards, STS, international cooperation
RE, storage, smart grids, process electrification, sustainable materials, industrial AI/IoT, industrial cybersecurity
physics, chemistry, biology, mathematics, scientific computing, instrumentation, advanced materials & manufacturing, robotics, photonics
climate, biodiversity, ecosystem services, sustainable agriculture/fisheries/forestry, food–water security, NbS
social resilience, science communication, education, creative economy, linguistics, cross-cultural collaboration.
spatial planning, mobility, smart districts, digital twins, resilient digital infrastructure
public health, epidemiology, digital health, precision medicine, One Health