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mixed-format event agenda agenda analysis

ICLR - Workshops - Integrating Generative and Experimental Platforms for Biomolecular Design

This mixed-format event agenda in Technology / AI / Startup shows 30 visible agenda rows from iclr.cc and scores 38/100: a thin but inspectable design signal. The clearest public signals sit in Future-of-Work Fit and Participation Architecture; the main limits are Follow Through and Network Design. Visible mechanisms include Participant work, Feedback, Network design, and Learning transfer. The public record does not show follow-up or tracking, so the score should be read as design intent rather than durable... A practical reading: For a reader, this is a comparison record more than a model to copy: it reads as a mixed-format event agenda, with the strongest visible signal in future-of-work fit and participation architecture and the biggest open question around follow through and network design. The practical test is whether the published agenda connects the room to post-event continuation and evidence. This page is an original public-evidence analysis, not a copy of the source agenda or an endorsement of the event. The score places the visible agenda in the thin outcome architecture band. The strongest visible pillars are Future-of-Work Fit, Participation Architecture, and Learning Transfer; the thinnest visible pillars are Follow Through, Network Design, and Personalization. Visible mechanisms include Participant work, Feedback, Network design, and Learning transfer. The extracted agenda preview includes 57 visible rows. The most common formats are Unknown, Presentation, and Poster Session; the most common inferred purposes are Unknown, Knowledge Transfer, and Showcase.

Primary source evidence: iclr.cc ↗ · Archived copy (2026-02-17)

Eight-pillar fingerprint

Hover any pillar to see what it measures and, where it scored low, what the agenda is missing.

Participation Architecture?50
Participation Architecture - 50/100. Participant work, contribution, interaction, and alternatives to passive broadcast.
Follow Through?5
Follow Through - 5/100. Owners, dates, commitments, progress checks, and accountability after the room.Missing: Add named owners, dates, implementation checkpoints, and a visible post-event continuation path.
Problem Specificity?43
Problem Specificity - 43/100. A clear costly problem, objective, decision, or performance target.
Personalization?38
Personalization - 38/100. Role, path, goal, preparation, or connection tailoring for participants.Missing: Create role-based paths, prepared questions, tailored breakouts, or participant-specific next steps.
Network Design?16
Network Design - 16/100. Structured weak ties, bridge-building, mixers, and relationship persistence.Missing: Replace generic networking blocks with designed introductions, ask-offer exchanges, peer groups, or bridge-building rituals.
Learning Transfer?45
Learning Transfer - 45/100. Applied practice, feedback, workplace use, refreshers, and 30-90 day transfer.
Evidence Maturity?45
Evidence Maturity - 45/100. Baseline, comparison, follow-up, isolation, and attribution confidence.
Future-of-Work Fit?61
Future-of-Work Fit - 61/100. Value against time, hybrid reality, accessibility, AI, and meeting load.

Fix the gaps

Field-tested exercises matched to this agenda's weakest pillars, from the exercise library.

Agenda Preview

The actual agenda we captured. Every block is classified by format and purpose. Open any block to see how we read it; the colored edge shows whether it is participant work, broadcast, logistics, or a showcase.

Room vs wrapper

11 percent of the 57 classified blocks put participants to work; the rest broadcast, show, or handle logistics. That mix is what drives the participation score.

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Participant workBroadcastShowcaseLogistics
all eventBlog Track PostersPoster sessionShowcase+
Format · ShowcasePoster sessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisOutcome inferred from formatInferred from format
all eventWorkshopsWorkshopParticipant work+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisParticipant work is implied by the formatInferred from format
all eventWorkshopWorkshopParticipant work+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisParticipant work is implied by the formatInferred from format
5:50 PMOpening Remarks VideoOpeningOrientation+
Format · BroadcastOpeningFormat not classified from the source; treated as a broadcast block by default.
Evidence basisNo participant output visible from this rowRead from source, no work signal
6:00 PMKotaro Tsuboyama VideoPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
6:30 PMFlorian Hollfelder VideoPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
7:00 PMCoffee break 1BreakPacing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisOutcome inferred from formatInferred from format
7:15 PMReinforcement learning on structure-conditioned categorical diffusion for protein inverse folding Yasha Ektefaie ⋅ Olivia Viessmann ⋅ Siddharth Narayanan ⋅ Drew Dresser ⋅ J. Kim ⋅ Armen Mkrtchyan VideoPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
7:30 PMProgrammable Protein Stabilization with Language Model-Derived Peptide Guides Lauren Hong ⋅ Tian Wang ⋅ Divya Srijay ⋅ Howard Liu ⋅ Rio Watson ⋅ Lin Zhao ⋅ Sophia Vincoff ⋅ Tianlai Chen ⋅ Kseniia Kholina ⋅ Shrey Goel ⋅ Matthew DeLisa ⋅ Pranam Chatterjee VideoPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
7:45 PMEquiJump: Protein Dynamics Simulation via SO(3)-Equivariant Stochastic Interpolants Allan Costa ⋅ Ilan Mitnikov ⋅ Franco Pellegrini ⋅ Ameya Daigavane ⋅ Mario Geiger ⋅ Zhonglin Cao ⋅ Karsten Kreis ⋅ Tess Smidt ⋅ Emine Kucukbenli ⋅ JOSEPH JACOBSON VideoPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
8:00 PMPreventing cell-to-cell tranmission of disordered proto-fibrils of α-Synuclein Akshay Chenna Video LinkPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
8:05 PMInverse problems with experiment-guided AlphaFold Sai Advaith Maddipatla ⋅ Nadav Bojan ⋅ Meital Bojan ⋅ Sanketh Vedula ⋅ Ailie Marx ⋅ Paul Schanda ⋅ Alexander Bronstein VideoPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
8:10 PMCompositional Flows for 3D Molecule and Synthesis Pathway Co-design Tony Shen ⋅ Seonghwan Seo ⋅ Ross Irwin ⋅ Kieran Didi ⋅ Simon Olsson ⋅ Woo Youn Kim ⋅ Martin Ester VideoPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
8:15 PMPoster session 1Poster sessionShowcase+
Format · ShowcasePoster sessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisOutcome inferred from formatInferred from format
9:15 PMLunch break (catering provided)BreakPacing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisOutcome inferred from formatInferred from format
10:00 PMCharlotte Bunne VideoPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
10:30 PMFast and Accurate Antibody Sequence Design via Structure Retrieval Xingyi Zhang ⋅ Kun XIE ⋅ Ningqiao Huang ⋅ Wei Liu ⋅ Peilin Zhao ⋅ Sibo WANG ⋅ Kangfei Zhao ⋅ Biaobin Jiang VideoPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
10:45 PMMultiplexed DNA Assembly from Oligo-pools Shaozhong Zou ⋅ zhien wu ⋅ Chunfu Xu VideoPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
11:00 PMDecoding the Mechanistic Impact of Genetic Variation on Regulatory Sequences with Deep Learning Evan Seitz ⋅ Peter Koo ⋅ Justin Kinney ⋅ David McCandlish Video LinkPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
11:15 PMA generalized protein design foundation model enables generation of functional de novo proteins Timothy Riley ⋅ Oleg Matusovsky ⋅ Mohammad Parsa ⋅ Pourya Kalantari ⋅ Kooshiar Azimian ⋅ Kathy Wei VideoPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
11:20 PMSOAPI: Siamese-guided generation of Off-Target-Avoiding Protein Interactions Sophia Vincoff ⋅ Oscar Davis ⋅ Alexander Tong ⋅ Joey Bose ⋅ Pranam Chatterjee VideoPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
11:25 PMCoffee break 2BreakPacing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisOutcome inferred from formatInferred from format
11:35 PMMichael SchaarschmidtPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
12:05 AMPanel discussion VideoPanelDiscussion+
Format · BroadcastPanelExperts discuss while the audience watches. Surfaces perspective but rarely creates participant work.
Evidence basisNo participant output visible from this rowRead from source, no work signal
1:20 AMPoster session 2 & seed grant pitchingPoster sessionShowcase+
Format · ShowcasePoster sessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisOutcome inferred from formatInferred from format
2:20 AMClosing remarks & awardsClosingOrientation+
Format · BroadcastClosingFormat not classified from the source; treated as a broadcast block by default.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventMol-MoE: Training Preference-Guided Routers for Molecule Generation Diego Calanzone ⋅ Pierluca D'Oro ⋅ Pierre-Luc Bacon LinkTrainingSkill building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisParticipant work is implied by the formatInferred from format
all eventMain ConferenceUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventBlog Track PostersPoster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
all eventWorkshopsWorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventCommunityUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventWorkshopWorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventTimezone: America/LosAngelesUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
5:50 PMOpening Remarks VideoOpening RemarksOrientation+
Format · BroadcastOpening RemarksFraming or welcome from the stage. Orients the room, not participatory.
Evidence basisMediumRead from source
6:00 PMKotaro Tsuboyama VideoUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
6:30 PMFlorian Hollfelder VideoUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
7:00 PMCoffee break 1BreakWellbeing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisMediumRead from source
7:15 PMReinforcement learning on structure-conditioned categorical diffusion for protein inverse folding Yasha Ektefaie ⋅ Olivia Viessmann ⋅ Siddharth Narayanan ⋅ Drew Dresser ⋅ J. Kim ⋅ Armen Mkrtchyan VideoUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
7:30 PMProgrammable Protein Stabilization with Language Model-Derived Peptide Guides Lauren Hong ⋅ Tian Wang ⋅ Divya Srijay ⋅ Howard Liu ⋅ Rio Watson ⋅ Lin Zhao ⋅ Sophia Vincoff ⋅ Tianlai Chen ⋅ Kseniia Kholina ⋅ Shrey Goel ⋅ Matthew DeLisa ⋅ Pranam Chatterjee VideoUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
7:45 PMEquiJump: Protein Dynamics Simulation via SO(3)-Equivariant Stochastic Interpolants Allan Costa ⋅ Ilan Mitnikov ⋅ Franco Pellegrini ⋅ Ameya Daigavane ⋅ Mario Geiger ⋅ Zhonglin Cao ⋅ Karsten Kreis ⋅ Tess Smidt ⋅ Emine Kucukbenli ⋅ JOSEPH JACOBSON VideoUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
8:00 PMPreventing cell-to-cell tranmission of disordered proto-fibrils of α-Synuclein Akshay Chenna Video LinkUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
8:05 PMInverse problems with experiment-guided AlphaFold Sai Advaith Maddipatla ⋅ Nadav Bojan ⋅ Meital Bojan ⋅ Sanketh Vedula ⋅ Ailie Marx ⋅ Paul Schanda ⋅ Alexander Bronstein VideoUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
8:10 PMCompositional Flows for 3D Molecule and Synthesis Pathway Co-design Tony Shen ⋅ Seonghwan Seo ⋅ Ross Irwin ⋅ Kieran Didi ⋅ Simon Olsson ⋅ Woo Youn Kim ⋅ Martin Ester VideoUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
8:15 PMPoster session 1Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
9:15 PMLunch break (catering provided)MealWellbeing+
Format · LogisticsMealA pacing block. Can carry unstructured networking, not scored as participant work.
Evidence basisMediumRead from source
10:00 PMCharlotte Bunne VideoUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
10:30 PMFast and Accurate Antibody Sequence Design via Structure Retrieval Xingyi Zhang ⋅ Kun XIE ⋅ Ningqiao Huang ⋅ Wei Liu ⋅ Peilin Zhao ⋅ Sibo WANG ⋅ Kangfei Zhao ⋅ Biaobin Jiang VideoUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
10:45 PMMultiplexed DNA Assembly from Oligo-pools Shaozhong Zou ⋅ zhien wu ⋅ Chunfu Xu VideoUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
11:00 PMDecoding the Mechanistic Impact of Genetic Variation on Regulatory Sequences with Deep Learning Evan Seitz ⋅ Peter Koo ⋅ Justin Kinney ⋅ David McCandlish Video LinkUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
11:15 PMA generalized protein design foundation model enables generation of functional de novo proteins Timothy Riley ⋅ Oleg Matusovsky ⋅ Mohammad Parsa ⋅ Pourya Kalantari ⋅ Kooshiar Azimian ⋅ Kathy Wei VideoUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
11:20 PMSOAPI: Siamese-guided generation of Off-Target-Avoiding Protein Interactions Sophia Vincoff ⋅ Oscar Davis ⋅ Alexander Tong ⋅ Joey Bose ⋅ Pranam Chatterjee VideoUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
11:25 PMCoffee break 2BreakWellbeing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisMediumRead from source
11:35 PMMichael SchaarschmidtUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
12:05 AMPanel discussion VideoPanelDeliberation+
Format · BroadcastPanelExperts discuss while the audience watches. Surfaces perspective but rarely creates participant work.
Evidence basisMediumRead from source
1:20 AMPoster session 2 & seed grant pitchingPoster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
2:20 AMClosing remarks & awardsClosing RemarksOrientation+
Format · BroadcastClosing RemarksClosing framing from the stage. Wraps the event, not participatory.
Evidence basisMediumRead from source
all eventMol-MoE: Training Preference-Guided Routers for Molecule Generation Diego Calanzone ⋅ Pierluca D'Oro ⋅ Pierre-Luc Bacon LinkTrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source

The Full Reading

Why It Ranks This Way +

Calibrated from GES design 38/100 and verified 38/100 with no fourth-loop cap.

Reader Takeaway. For a reader, this is a comparison record more than a model to copy: it reads as a mixed-format event agenda, with the strongest visible signal in future-of-work fit and participation architecture and the biggest open question around follow through and network design. The practical test is whether the published agenda connects the room to post-event continuation and evidence.

Strongest signals: Future-of-Work Fit, Participation Architecture, and Learning Transfer. Weakest signals: Follow Through, Network Design, and Personalization.

How This Agenda Could Improve +
  • Add named owners, dates, implementation checkpoints, and a visible post-event continuation path.
  • Replace generic networking blocks with designed introductions, ask-offer exchanges, peer groups, or bridge-building rituals.
  • Create role-based paths, prepared questions, tailored breakouts, or participant-specific next steps.

Fastest next move: Add named owners, dated next steps, and a visible continuation path before treating the event as outcome-ready.

Role-Specific Reading +

Event owner lens

Use this record to benchmark whether a comparable event makes the work after the room visible. The score is 38/100, so the next move is to benchmark the weakest pillars before repeating the format.

Sponsor lens

Look beyond exposure. Strong sponsor value would show qualified interaction, problem work, buyer learning, customer evidence, or follow-up. The practical sponsor move is to look for structured introductions, buyer-seller fit, and relationship persistence.

Designer lens

The agenda is useful as a pattern sample from iclr.cc. Redesign attention should go first to the lowest-scoring pillars; in practice, turn the thinnest agenda blocks into participant work.

Executive lens

Treat the visible agenda as an operating plan. The executive move is to require owners, dates, and evidence before treating the event as strategic. If owners, proof, and follow-through are not visible, the public record does not yet prove strategic movement.

Aggregator lens

Treat the source URL as evidence, not decoration. The data-product move is to label the source boundary clearly before ranking the record before ranking or syndicating the record.

What GES Means Here +

The Gathering Effectiveness Score is a strict 0-100 public-evidence reading of the agenda across eight pillars. It rewards visible participant work, follow-through, transfer, network design, and proof mechanisms more than polish, speaker fame, attendance, or satisfaction.

Visible mechanisms: Participant work, Feedback, Network design, Learning transfer.

Evidence boundary: Scores reflect visible agenda/source evidence and should not be read as proof of causal event impact.

Limitations, Score Caps, and Review Flags +

Limitations

  • No visible follow-up, progress monitoring, or longitudinal tracking.
  • No baseline measurement is visible.

Score caps

  • No fourth-loop score cap applied.

Review flags

  • No source-backed follow-up, validation, baseline, tracking, or impact evidence.
  • No tracking, validation, feedback, or impact measurement found in the visible source text.
  • Original category was unknown; publication category is inferred.
Is this proof the event worked? +

No. This is a strict public-evidence reading of the agenda. Proof would require baseline, comparison, follow-up, attribution, and impact evidence beyond the listing.

What should a reader inspect first? +

Start with the source URL, then compare the eight pillar scores against the agenda rows. The biggest opportunities usually sit in follow-through, evidence maturity, and participant work.

Why publish weak records? +

Weak records are part of the map. They show where public agendas still describe sessions and speakers more often than outcomes, commitments, transfer, or proof.

How should I use the rows? +

Read the agenda rows as the visible design trace: formats, purposes, and evidence labels show what the public source made inspectable, not everything that happened in the room. This is a source-grounded interpretation of the public agenda record, not a copy of the source, and not an endorsement of the event.

Embed the verified badge +

This record is in the hand-verified gold set. Copy the snippet below to embed the verified badge on your own site.

<a href="https://unitedwetransform.com/events/evt_2025_iclr_workshops_integrating_generative_and_experimental_platforms_for_biomol"><img src="https://unitedwetransform.com/badge/ges-verified.svg" alt="GES verified by United We Transform" height="40"></a>

Where To Go Next

Compare this agenda against other Technology / AI / Startup events scored on the same eight pillars.