# AI for Science Asia Singapore 2027

Programme proposal for review. Dates, venue, speakers and partners are not confirmed.

AI for Science Asia brings researchers, laboratory leaders, technology builders and industry decision-makers together to examine how AI can improve scientific discovery. The programme connects advances in scientific models with the work required to use them: reliable data, experimental validation, compute, reproducibility and research partnerships. Across materials, chemistry, biology and engineering, the focus is on evidence that can move from a model to a real scientific outcome.

## Event facts

Date: 1 June 2027 · proposed

Location: Singapore. Venue to be confirmed.

Organiser: Escom Events. Brand: World AI Ready.

Proposed pricing: USD 390 one day, USD 590 both conferences. Registration not open.

## Topics

- Scientific foundation models and domain-specific reasoning
- AI-guided materials and chemical discovery
- Self-driving laboratories and closed-loop experimentation
- Scientific data quality, provenance and reproducibility
- Physics-informed modelling and scientific simulation
- Research compute, infrastructure and sustainable scaling
- Research translation, intellectual property and industry partnerships
- Responsible deployment and the limits of scientific AI

## Draft agenda

- 08:30–09:00 Registration and coffee: Meet the community before the programme begins.
- 09:00–09:10 Opening perspective: What would count as meaningful progress in AI-enabled science?
- 09:10–09:30 Research Spotlight · Models that lead to experiments: Where scientific foundation models are useful, where they fail and how to test their claims.
- 09:30–10:10 Decision Panel · Beyond the benchmark: Researchers and industrial R&D leaders discuss evidence, reproducibility and the cost of a wrong prediction.
- 10:10–11:00 Networking break: 50 minutes for refreshments, introductions and focused follow-up conversations.
- 11:00–11:40 Innovation Demos · The scientific workflow: Four companies, ten minutes each: data preparation, simulation, model evaluation and laboratory automation. No standalone Q&A.
- 11:40–12:20 Decision Panel · Closing the loop in the laboratory: How to connect predictions, automated experiments and human scientific judgement.
- 12:20–12:30 Evidence briefing · Designing a useful pilot: A practical checklist for hypotheses, baselines, validation and stop/go decisions.
- 12:30–13:30 Lunch and open networking: A 60-minute lunch break, included in the delegate pass.
- 13:30–14:10 Decision Panel · Materials, chemistry and engineering: What transfers across scientific domains, and what still requires deep domain expertise?
- 14:10–14:40 Innovation Demos · From discovery to deployment: Three companies, ten minutes each. Show the workflow, measured evidence and limitations. No standalone Q&A.
- 14:40–15:30 Networking break: 50 minutes to continue technical conversations and meet relevant partners.
- 15:30–16:10 Decision Panel · Who owns the next scientific breakthrough?: Industry–university collaboration, data rights, intellectual property, funding and shared infrastructure.
- 16:10–16:40 Working Roundtables · Your next research workflow: Choose a discussion on experimental validation, data readiness, lab automation or translation partnerships.
- 16:40–17:10 Private networking sessions: Opt-in small-group and one-to-one introductions. Scheduling and participation are subject to mutual consent.
- 17:10–17:20 Closing synthesis: What to test next, what evidence to demand and how to continue the conversation on Day 2.

## Included

- Admission to the selected conference day or both days with a two-day pass
- Lunch on each booked day
- Conference materials made available by participating speakers
- Morning and afternoon networking sessions
- Access to private networking sessions on booked days, subject to scheduling and participant consent

## Important status

No speakers or institutional endorsements confirmed. This is an independent Escom Events proposal. Last reviewed 30 October 2026.