Minutes of networking breaks
Two 50-minute breaks make room for the conversations that short coffee queues cannot.
From scientific possibility to reproducible progress.
Scientific models. Experimental evidence. Research that moves forward.
Conceptual scientific artwork · Not a representation of an actual experiment
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.
Leave with a sharper view of which AI-enabled research workflows are ready to test, how to evaluate them and who to collaborate with.
Two 50-minute breaks make room for the conversations that short coffee queues cannot.
One workflow, clear evidence and a strict handover. Follow up with the people who matter.
Discussion around practical trade-offs, with curated questions and multiple perspectives.
Explore the shared challenges across materials, chemistry, biology and engineering, without losing the depth of each discipline.
How to assess capabilities, domain fit and failure modes before committing a research workflow.
Connect candidate generation to physical measurements and experimental feedback.
Explore the systems, controls and human oversight behind autonomous experimentation.
Build traceable datasets and evidence that other teams can test and reuse.
Combine learned models with scientific constraints and established numerical methods.
Match infrastructure choices to research needs, cost and reproducibility requirements.
Align incentives, rights and responsibilities across organisations.
Recognise uncertainty, evaluate risks and define where human judgement remains essential.
Programme proposal. All times are Singapore time, UTC+8. Session topics and sequencing may change before launch.
Meet the community before the programme begins.
What would count as meaningful progress in AI-enabled science?
Where scientific foundation models are useful, where they fail and how to test their claims.
Researchers and industrial R&D leaders discuss evidence, reproducibility and the cost of a wrong prediction.
50 minutes for refreshments, introductions and focused follow-up conversations.
Four companies, ten minutes each: data preparation, simulation, model evaluation and laboratory automation. No standalone Q&A.
How to connect predictions, automated experiments and human scientific judgement.
A practical checklist for hypotheses, baselines, validation and stop/go decisions.
A 60-minute lunch break, included in the delegate pass.
What transfers across scientific domains, and what still requires deep domain expertise?
Three companies, ten minutes each. Show the workflow, measured evidence and limitations. No standalone Q&A.
50 minutes to continue technical conversations and meet relevant partners.
Industry–university collaboration, data rights, intellectual property, funding and shared infrastructure.
Choose a discussion on experimental validation, data readiness, lab automation or translation partnerships.
Opt-in small-group and one-to-one introductions. Scheduling and participation are subject to mutual consent.
What to test next, what evidence to demand and how to continue the conversation on Day 2.
Company demos are 10 minutes each with no standalone Q&A. Academic Research Spotlights have a separate editorial format. Panel questions are curated by the moderator.
We welcome research leaders, scientific founders, pharma and biotech practitioners, laboratory teams and implementation leaders. Propose a research spotlight, panel contribution or ten-minute Innovation Demo. Submissions will be assessed for evidence, relevance and practical value. A commercial relationship does not guarantee an editorial speaking slot.
Prepare a speaker proposalAn academic or non-company scientific contributor explains one important advance, its evidence and limitations. All company-affiliated solo presentations are limited to ten-minute Innovation Demos.
Show one use case, one workflow and measurable evidence. Strict handover to the next presenter, with no standalone Q&A. Continue the conversation during networking.
A moderated conversation built around a real decision, conflicting evidence and practical trade-offs. Audience questions are curated within the panel.
Small-group discussion around a defined challenge, producing a short list of next actions rather than another slide presentation.
Built for scientific depth and industry relevance. The programme is intended for people making research, technology and investment decisions.
Principal investigators, research directors, laboratory heads, computational scientists and research engineers
R&D leaders in materials, chemicals, energy, advanced manufacturing, semiconductors and life sciences
Scientific software, foundation-model, compute, cloud, simulation, data and laboratory automation teams
Research policy, funding, innovation, translation and economic development teams
Deep-tech entrepreneurs, venture investors, technology-transfer and corporate innovation teams
Two complementary conferences. Choose the day most relevant to your work, or connect scientific discovery with drug discovery across both days.
Attend AI for Science Asia on day 1.
Attend AI for Science Asia and AIDD Asia. USD 190 less than two separate one-day passes.
Proposed delegate pricing. Registration is not yet open. Any applicable taxes and booking terms will be stated before payment. Travel and accommodation are excluded. Private sessions do not guarantee a meeting with any named person.
Sponsorship is available alongside paid delegate passes. Show a relevant capability, support useful discussion and build relationships with consent.
A tailored presence across the two-day programme, with clearly disclosed branding, a demonstration opportunity subject to programme review, and opt-in networking participation. Any demonstration position is subject to editorial approval and shared programme capacity.
Focused visibility with the scientific discovery or drug discovery audience, a demonstration position and a compact meeting area, subject to venue confirmation. Any demonstration position is subject to editorial approval and shared programme capacity.
A ten-minute demonstration and a space for follow-up conversations. Show practical evidence rather than a long product presentation. Any demonstration position is subject to editorial approval and shared programme capacity.
Packages, availability and pricing are by proposal. No sponsor, partner or institutional endorsement is confirmed. Delegate details are not sold or shared without appropriate consent. Demonstration slots are limited to seven per day across all sponsorship tiers, subject to programme review and availability.
A non-commercial collaboration route for research institutions, professional communities and relevant associations. Every partnership requires separate agreement.
Discuss a partnershipRegistration is not yet open. Email Escom Events’ organiser contact to express interest, propose a contribution or discuss sponsorship. Please name AI for Science Asia Singapore 2027 in your enquiry.
This preview does not collect personal information or process payments. The organiser will confirm the official registration route and terms before booking opens.
These links open an email draft to mike.li@escom-events.com. Nothing is sent until you review and send it.
Clear facts, visible status and no assumptions about confirmations. Last reviewed 30 October 2026.
1 June 2027 · proposed in Singapore. Singapore venue to be confirmed. The programme, exact dates and venue remain proposed until the organiser publishes confirmation. Please do not book non-refundable travel on this basis.
The proposed price is USD 390 for one conference day or USD 590 for both AI for Science Asia and AIDD Asia. Registration is not yet open. Applicable taxes, payment terms and cancellation conditions will be stated before booking.
Admission on booked days, lunch, participating speakers’ available conference materials, morning and afternoon networking, and access to private networking sessions subject to scheduling and mutual consent. Travel and accommodation are not included.
Yes. Select the one-day pass for AI for Science Asia, or choose the two-day pass to attend both conferences. A one-day pass does not include the other conference day.
Prepare your name, role, organisation, proposed session format, talk title, 150-word abstract, relevant evidence and commercial disclosures. Contact Escom Events and state the conference name. Applications are assessed on relevance and evidence; a submission does not guarantee acceptance.
No speaker or institutional partnership is confirmed in this proposal. Names in the separate organiser research pack are invitation targets, not announced speakers. The conferences are independently organised by Escom Events under World AI Ready.
No. Company Innovation Demos are ten minutes each, with a strict handover and no standalone Q&A. Technical and commercial follow-up belongs in the networking breaks. Moderated panels can include curated audience questions.
This source preview includes a local conference guide that retrieves approved information. It does not use a live language model. An optional server-side AI adapter is included for an authorised operator to configure before launch. Do not enter sensitive personal or research information.
No. This is an independent Escom Events conference proposal. It is not the A*STAR AI in Drug Discovery (AIDD) programme and does not imply government, university or other institutional endorsement.
Also interested in AI for drug discovery? Continue on Day 2 with AIDD Asia, where biological validation, medicinal chemistry and clinical translation take centre stage.
Questions stay in this page. Do not enter confidential information.