Event owner lens
Use this record to benchmark whether a comparable event makes the work after the room visible. The score is 43/100, so the next move is to benchmark the weakest pillars before repeating the format.
technology ai startup agenda agenda analysis
2026 Conference - Workshops at ICLR 2026
This technology ai startup agenda in Academic / Research / Science shows 31 visible agenda rows from recursive-workshop.github.io and scores 43/100: a moderate design signal with incomplete evidence. The clearest public signals sit in Future-of-Work Fit and Participation Architecture; the main limits are Follow Through and Personalization. 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... A practical reading: For a reader, this is a comparison record more than a model to copy: it reads as a technology ai startup agenda, with the strongest visible signal in future-of-work fit and participation architecture and the biggest open question around follow through and personalization. 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 moderate design signal band. The strongest visible pillars are Future-of-Work Fit, Participation Architecture, and Learning Transfer; the thinnest visible pillars are Follow Through, Personalization, and Network Design. Visible mechanisms include Participant work, Feedback, Network design, and Learning transfer. The extracted agenda preview includes 57 visible rows. The most common formats are Presentation, Panel, and Workshop; the most common inferred purposes are Knowledge Transfer, Showcase, and Co Creation.
Eight-pillar fingerprint
Hover any pillar to see what it measures and, where it scored low, what the agenda is missing.
Participation Architecture?55
Participation Architecture - 55/100. 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?49
Problem Specificity - 49/100. A clear costly problem, objective, decision, or performance target.
Personalization?34
Personalization - 34/100. 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?44
Network Design - 44/100. 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?50
Learning Transfer - 50/100. 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?68
Future-of-Work Fit - 68/100. 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.
Follow Through (5/100)
Exercises that strengthen it: Mental Toughness Workshop • WorkshopBank · 15% Solutions • WorkshopBank · Network Patches
Personalization (34/100)
Exercises that strengthen it: Journey Mapping • WorkshopBank · Group Energiser & Perspective-Changing Exercise - Paradigm... · Photo Storytelling
Network Design (44/100)
Exercises that strengthen it: Fun Trust-Building Group Game for Team Connection - Izzat... · Exciting Group Trust Activity for Building Confidence... · PFP: September 2005
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
21 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.
Participant workBroadcastShowcaseLogistics
all eventICLR 2026 Workshop: AI with Recursive Self-ImprovementWorkshopParticipant 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 eventWorkshop Day: April 26WorkshopParticipant 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 eventWorkshop day: April 26, 2026WorkshopParticipant 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 eventAll accepted papers will be presented in an extended poster session; a small number will be selected for spotlight oral presentations.Poster sessionShowcase+
Format · ShowcasePoster sessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisOutcome inferred from formatInferred from format
all eventSubmit on OpenReview View Accepted PapersPresentationKnowledge 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
08:00 - 08:50Poster Session 1 / Networking All audiencePoster sessionShowcase+
Format · ShowcasePoster sessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisOutcome inferred from formatInferred from format
08:50 - 09:00Opening Remarks OrganizersOpeningOrientation+
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
09:00 - 09:30Invited Talk 1 Louis KirschPresentationKnowledge 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
09:30 - 10:00Oral Session I (2 talks, 10 minutes each + transition) #1 Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning #2 Contextual Drag: How Errors in the Context Affect LLM ReasoningPresentationKnowledge 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
10:00 - 10:30Poster Session 2 / Networking / Coffee Break All audienceBreakShowcase+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisOutcome inferred from formatInferred from format
10:30 - 11:00Invited Talk 2 Chelsea FinnPresentationKnowledge 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 - 11:30Invited Talk 3 Bing LiuPresentationKnowledge 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
11:30 - 12:00Invited Talk 4 Sergey LevinePresentationKnowledge 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
12:00 - 12:30Poster Session 3 / Networking / LunchMealShowcase+
Format · LogisticsMealA pacing block. Can carry unstructured networking, not scored as participant work.
Evidence basisOutcome inferred from formatInferred from format
12:30 - 13:00Invited Talk 5 Jeff ClunePresentationKnowledge 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
13:00 - 13:10Transition / NetworkingNetworkingRelationship building+
Format · LogisticsNetworkingUnstructured mixing. Can carry incidental connection, but is not scored as designed network work.
Evidence basisOutcome inferred from formatInferred from format
13:10 - 14:00Super Stars Panel Julian Schrittwieser, Richard Socher, Yuandong Tian, Matej Balog, Ming-Hsuan Yang, Vladlen Koltun; Moderator: Jürgen SchmidhuberPanelDiscussion+
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
14:00 - 14:30Invited Talk 6 Bang LiuPresentationKnowledge 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
14:30 - 15:00Invited Talk 7 Yu Su (Ohio State University, NeoCognition)PresentationKnowledge 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
15:00 - 15:30Invited Talk 8 Yuandong TianPresentationKnowledge 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
15:30 - 15:50Oral Session II (2 talks, 10 minutes each) #3 Learning to Continually Learn via Meta-learning Agentic Memory Designs #4 PostTrainBench: Can LLM Agents Automate LLM Post-Training?TrainingSkill 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
15:50 - 16:40Open-Talk Panel Philipp Krähenbühl, Devon Hjelm, Ran Xu, Yi Lu, Yilun Du, Dmitrii Khizbullin; Moderator: Rong ZouPanelDiscussion+
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
16:40 - 17:10Awarding & Closing Remarks OrganizersClosingOrientation+
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 eventPanelistsPanelDiscussion+
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
1:10 PM - 2:00 PMSuper Stars Panel ( )PanelDiscussion+
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
3:50 PM - 4:40 PMOpen-Talk Panel ( )PanelDiscussion+
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
all eventICLR 2026 Workshop: AI with Recursive Self-ImprovementWorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventWorkshop Day: April 26WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventSubmit on OpenReviewUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventBem-vindos! We’re the ICLR 2026 Workshop on AI with Recursive Self-Improvement (RSI 2026), possibly the world's first workshop dedicated exclusively to RSI , held alongside ICLR 2026 in Rio de Janeiro (April 23 to 27, 2026; workshop day April 26; room 101 - D). The timing couldn't be better.WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventThis workshop brings together researchers working on recursive self improving AI across omni models, multimodal agents, robotics, and scientific discovery. We focus on practical advances such as critique and reward driven learning, test time adaptation, experience accumulation, and governed model updates.WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventWorkshop day: April 26, 2026WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventAll accepted papers will be presented in an extended poster session; a small number will be selected for spotlight oral presentations.Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
all eventBoth tracks follow ICLR 2026 Workshop submission and review requirements. Accepted tiny papers may be featured on the workshop website. The reviewing process is single-blind and managed through OpenReview; AI-generated papers are not allowed, however, due to the nature of the workshop, AI-generated artifacts used as part of the work (e.g., demos, systems, or experiments) are allowed, but must be clearly disclosed, and papers must follow the Policies on Large Language Model Usage at ICLR 2026, including the disclosure of LLM usage.WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventSubmit on OpenReview View Accepted PapersUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
08:00 - 08:50Poster Session 1 / Networking All audiencePoster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
08:50 - 09:00Opening Remarks OrganizersOpening RemarksOrientation+
Format · BroadcastOpening RemarksFraming or welcome from the stage. Orients the room, not participatory.
Evidence basisMediumRead from source
09:00 - 09:30Invited Talk 1 Louis KirschPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
09:30 - 10:00Oral Session I (2 talks, 10 minutes each + transition) #1 Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning #2 Contextual Drag: How Errors in the Context Affect LLM ReasoningPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
10:00 - 10:30Poster Session 2 / Networking / Coffee Break All audiencePoster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
10:30 - 11:00Invited Talk 2 Chelsea FinnPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
11:00 - 11:30Invited Talk 3 Bing LiuPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
11:30 - 12:00Invited Talk 4 Sergey LevinePresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
12:00 - 12:30Poster Session 3 / Networking / LunchPoster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
12:30 - 13:00Invited Talk 5 Jeff ClunePresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
13:00 - 13:10Transition / NetworkingNetworkingRelationship Building+
Format · LogisticsNetworkingUnstructured mixing. Can carry incidental connection, but is not scored as designed network work.
Evidence basisMediumRead from source
13:10 - 14:00Super Stars Panel Julian Schrittwieser, Richard Socher, Yuandong Tian, Matej Balog, Ming-Hsuan Yang, Vladlen Koltun; Moderator: Jürgen SchmidhuberPanelDeliberation+
Format · BroadcastPanelExperts discuss while the audience watches. Surfaces perspective but rarely creates participant work.
Evidence basisMediumRead from source
14:00 - 14:30Invited Talk 6 Bang LiuPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
14:30 - 15:00Invited Talk 7 Yu Su (Ohio State University, NeoCognition)PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
15:00 - 15:30Invited Talk 8 Yuandong TianPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
15:30 - 15:50Oral Session II (2 talks, 10 minutes each) #3 Learning to Continually Learn via Meta-learning Agentic Memory Designs #4 PostTrainBench: Can LLM Agents Automate LLM Post-Training?TrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
15:50 - 16:40Open-Talk Panel Philipp Krähenbühl, Devon Hjelm, Ran Xu, Yi Lu, Yilun Du, Dmitrii Khizbullin; Moderator: Rong ZouPanelDeliberation+
Format · BroadcastPanelExperts discuss while the audience watches. Surfaces perspective but rarely creates participant work.
Evidence basisMediumRead from source
16:40 - 17:10Awarding & Closing Remarks OrganizersClosing RemarksOrientation+
Format · BroadcastClosing RemarksClosing framing from the stage. Wraps the event, not participatory.
Evidence basisMediumRead from source
all eventPanelistsPanelDeliberation+
Format · BroadcastPanelExperts discuss while the audience watches. Surfaces perspective but rarely creates participant work.
Evidence basisMediumRead from source
1:10 PM - 2:00 PMSuper Stars Panel ( )PanelDeliberation+
Format · BroadcastPanelExperts discuss while the audience watches. Surfaces perspective but rarely creates participant work.
Evidence basisMediumRead from source
all eventYuandong TianStealth StartupEx. Director of Meta FAIR, working on post-training, now co-founding a stealth startup, and also writing sci-fi. 23K+ citations.TrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
3:50 PM - 4:40 PMOpen-Talk Panel ( )PanelDeliberation+
Format · BroadcastPanelExperts discuss while the audience watches. Surfaces perspective but rarely creates participant work.
Evidence basisMediumRead from source
The Full Reading
Why It Ranks This Way +
Calibrated from GES design 44/100 and verified 44/100, then capped for no visible follow-up, tracking, or impact mechanism.
Reader Takeaway. For a reader, this is a comparison record more than a model to copy: it reads as a technology ai startup agenda, with the strongest visible signal in future-of-work fit and participation architecture and the biggest open question around follow through and personalization. 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, Personalization, and Network Design.
How This Agenda Could Improve +
- Add named owners, dates, implementation checkpoints, and a visible post-event continuation path.
- Create role-based paths, prepared questions, tailored breakouts, or participant-specific next steps.
- Replace generic networking blocks with designed introductions, ask-offer exchanges, peer groups, or bridge-building rituals.
Fastest next move: Add named owners, dated next steps, and a visible continuation path before treating the event as outcome-ready.
Role-Specific Reading +
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 recursive-workshop.github.io. 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
- 42: No visible follow-up, tracking, or impact mechanism.
Review flags
- Fourth-loop score cap: No visible follow-up, tracking, or impact mechanism.
- No source-backed follow-up, validation, baseline, tracking, or impact evidence.
- No tracking, validation, feedback, or impact measurement found in the visible source text.
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_2026_2026_conference_workshops_at_iclr_2026_jan_13_2026_iclr_2026_workshop_on_ai"><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 Academic / Research / Science events scored on the same eight pillars.