Event owner lens
Use this record to benchmark whether a comparable event makes the work after the room visible. The score is 47/100, so the next move is to benchmark the weakest pillars before repeating the format.
applied learning or working session agenda analysis
2026 Conference - Workshops at ICLR 2026
This applied learning or working session in Technology / AI / Startup shows 50 visible agenda rows from data-fm-iclr2026.github.io and scores 47/100: a moderate design signal with incomplete evidence. The clearest public signals sit in Participation Architecture and Future-of-Work Fit; the main limits are Follow Through and Network Design. Visible mechanisms include Participant work, Feedback, Impact evidence, and Network design. Follow-through or tracking is at least visible enough to inspect, though causal... A practical reading: For a reader, this is a useful but still incomplete public example: it reads as an applied learning or working session, with the strongest visible signal in participation architecture and future-of-work fit and the biggest open question around follow through and network design. The practical test is whether the published agenda connects the room to execution quality beyond the public agenda. 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 Participation Architecture, Future-of-Work Fit, and Problem Specificity; the thinnest visible pillars are Follow Through, Network Design, and Personalization. Visible mechanisms include Participant work, Feedback, Impact evidence, Network design, and Learning transfer. The extracted agenda preview includes 87 visible rows. The most common formats are Workshop, Presentation, and Training; the most common inferred purposes are Skill Building, Knowledge Transfer, 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?77
Participation Architecture - 77/100. 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?63
Problem Specificity - 63/100. A clear costly problem, objective, decision, or performance target.
Personalization?45
Personalization - 45/100. 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?63
Learning Transfer - 63/100. Applied practice, feedback, workplace use, refreshers, and 30-90 day transfer.
Evidence Maturity?54
Evidence Maturity - 54/100. Baseline, comparison, follow-up, isolation, and attribution confidence.
Future-of-Work Fit?65
Future-of-Work Fit - 65/100. 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
Network Design (16/100)
Exercises that strengthen it: Fun Trust-Building Group Game for Team Connection - Izzat... · Exciting Group Trust Activity for Building Confidence... · PFP: September 2005
Personalization (45/100)
Exercises that strengthen it: Journey Mapping • WorkshopBank · Group Energiser & Perspective-Changing Exercise - Paradigm... · Photo Storytelling
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
53 percent of the 87 classified blocks put participants to work; the rest broadcast, show, or handle logistics. That mix is what drives the participation score.
Participant workBroadcastShowcaseLogistics
all event3rd Workshop on Navigating and Addressing Data Problems for Foundation ModelsWorkshopParticipant 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 event🎉 Thank you for attending! The workshop took place on April 26th, 2026 in Rio de Janeiro.WorkshopParticipant 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 event📌 The CFP and the workshop have concluded. See the Awards and Accepted Papers sections below.WorkshopParticipant 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
11:59pmCamera-ready Deadline: ~~April 1st, 2026, 11:59pmAoE~~ - PassedPresentationKnowledge 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
all eventCram Less to Fit More: Training Data Pruning Improves Memorization of FactsTrainingSkill 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 eventCram Less to Fit More: Training Data Pruning Improves Memorization of Facts🏆 Best PaperTrainingSkill 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 eventMulti-Modal Data Mixtures via Latent Space Coupling for Vision-Language Model TrainingTrainingSkill 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 eventThe complete list of accepted papers is available on OpenReview.WorkshopParticipant 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 event3. Language Self-Play For Data-Free TrainingTrainingSkill 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 event5. DUMP: Distribution-Level Curriculum Learning for RL-based LLM Post-trainingTrainingSkill 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 event22. ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of MultilingualityTrainingSkill 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 event28. OPUS: Towards Principled and Scalable Data Selection for Large Language Model Pre-training in Every IterationWorkshopSkill building+
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 event35. combating data laundering in llm trainingTrainingSkill 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 event36. Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts OralTrainingSkill 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 event43. Toward Evaluating Model Collapse in LLMs: Insights from Continual PretrainingTrainingSkill 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 event124. Verifying the Verifiers: Failure Attribution for Benchmark Diagnostics and Training Data CurationTrainingSkill building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisSession topic references decisions or metrics; event-level follow-through is not shownRead from source
all eventWorkshop ProgramWorkshopParticipant 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
9am-5pmWorkshop Schedule (04/26/2026, )WorkshopParticipant 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 event📹 Talk recordings are available on theICLR virtual workshop page.WorkshopParticipant 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
9:00 - 9:10 AMOpening Remarks 📖OpeningOrientation+
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
9:10 - 9:40 AMInvited Talk: Baharan Mirzasoleiman 🤝🗣️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
9:40 - 10:10 AMInvited Talk: Sewon Min 🤝🗣️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
10:10 - 10:30 AMCoffee Break ☕BreakPacing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisOutcome inferred from formatInferred from format
10:30 - 10:45 AMOral Presentation 1: Mayee Chen 📊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
10:45 - 11:00 AMOral Presentation 2: Fazl Barez 📊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
11:00 - 11:15 AMOral Presentation 3: Kunal Talwar 📊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
11:15 AM - 12:00 PMPoster Session I 🪧Poster sessionShowcase+
Format · ShowcasePoster sessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisOutcome inferred from formatInferred from format
12:00 - 1:30 PMLunch Break 🍲BreakPacing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisOutcome inferred from formatInferred from format
1:30 - 2:00 PMInvited Talk: Juan Carlos Niebles 🤝🗣️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
2:00 - 2:15 PMOral Presentation 4: Jacqueline He 📊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
2:15 - 2:30 PMOral Presentation 5: Arshia Afzal 📊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
2:30 - 2:45 PMOral Presentation 6: Maximilian Idahl 📊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
3:20 - 3:50 PMInvited Talk: Fred Sala 🤝🗣️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
3:50 - 4:05 PMIndustry Lightning Talk: Snorkel AI 👥💬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
4:05 - 4:10 PMClosing Remarks 📗ClosingOrientation+
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
4:10 - 5:00+ Poster Session II 🪧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 eventWorkshop OrganizersWorkshopParticipant 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 event3rd Workshop on Navigating and Addressing Data Problems for Foundation ModelsWorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all event🎉 Thank you for attending! The workshop took place on April 26th, 2026 in Rio de Janeiro.WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventFoundation models (FMs) continue to progress rapidly, with advances in reasoning, multimodal understanding and generation, and emerging agentic behaviors. These developments rely on increasingly diverse forms of data, including large-scale pre-training corpora; post-training data such as instruction, preference, reasoning, and multi-turn interaction traces; aligned multimodal datasets; and high-quality synthetic data throughout the pipeline. As reliance on broad and heterogeneous data sources grows, longstanding challenges in curation, attribution, copyright, privacy, fairness, safety, and evaluation have become more pressing. Understanding and improving the data layer is now a central scientific and engineering priority for the next generation of FMs.TrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventBuilding on the success of the previous two editions (DPFM @ ICLR 2024 and DATA-FM @ ICLR 2025), the 3rd DATA-FM workshop aimed to deepen a principled understanding of data challenges across the FM pipeline. We welcomed a broad community of participants, including researchers and engineers working on pre-training, post-training, multimodality, and agentic systems; experts in law, policy, and economics; and practitioners from industry, including frontier labs and startups. Our goal was to clarify emerging data problems, identify actionable research opportunities, and foster interdisciplinary collaboration toward a more rigorous and responsible data ecosystem for AI.Opening RemarksOrientation+
Format · BroadcastOpening RemarksFraming or welcome from the stage. Orients the room, not participatory.
Evidence basisMediumRead from source
all event📌 The CFP and the workshop have concluded. See the Awards and Accepted Papers sections below.WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
11:59pmCamera-ready Deadline: ~~April 1st, 2026, 11:59pmAoE~~ - PassedUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
all eventRegular submissions may be research or position papers. All submissions are handled through OpenReview and must be anonymized for double-blind review. Papers should be no more than 10 pages (excluding references) and follow the Overleaf template adapted from ICLR. An optional appendix of any length may be included at the end of the draft after the references.UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventOur workshop does not have formal proceedings, i.e., it is non-archival. Accepted papers and their review comments will be posted on OpenReview in public (after the end of the review process), while rejected and withdrawn papers and their reviews will remain private.WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all event[Submission on previous conference papers] We allow submissions that have been accepted at major machine learning conferences within one year of ICLR 2026 (i.e., after May 2025), including papers recently accepted to the ICLR 2026 main conference. However, as workshops are primarily intended to showcase novel or ongoing research, submissions based on previously published work may be deprioritized for oral presentations.WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all event[Submission on previous journal papers] For work published in journals, we leave it to the authors to assess the novelty and relevance of the submission for the community. While the machine learning field moves quickly, this workshop aims to be inclusive of subareas that may progress at a different pace and values contributions that emphasize fundamental and long-lasting research.WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventSince 2025, ICLR has discontinued the separate “Tiny Papers” track, and is instead requiring each workshop to accept short (3 to 5 pages in ICLR format, exact page length to be determined by each workshop) paper submissions, with an eye towards inclusion; see https://iclr.cc/Conferences/2025/CallForTinyPapers for a history of the ICLR tiny papers initiative. Authors of these papers will be earmarked for potential funding from ICLR, but need to submit a separate application for Financial Assistance that evaluates their eligibility. This application for Financial Assistance to attend ICLR 2026 will become available on https://iclr.cc/Conferences/2026/ at the beginning of February and close early March.WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventBuilding on last year's practice, our workshop continues to welcome short paper submissions intended to support underrepresented, under-resourced, and early-career researchers who may not yet have the means to submit full papers. This track is intended for work at the early stages of a project: for example, a concise but self-contained theoretical result, a novel observation from preliminary experiments, or a fresh perspective on an existing problem. The goal is to foster early-stage ideas and provide a platform for researchers to receive constructive feedback and guidance as they develop their work further.Opening RemarksOrientation+
Format · BroadcastOpening RemarksFraming or welcome from the stage. Orients the room, not participatory.
Evidence basisMediumRead from source
all eventShort papers will be peer reviewed. Submissions should be anonymized , 3 to 5 pages long (excluding references), using the same submission portal in OpenReview and following the same Overleaf template . In addition, please clearly add a tag [Short] at the beginning of the submission title.UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventThe workshop program committee plays an important role in identifying and giving feedback on up-and-coming work that would most benefit from discussion and visibility at the workshop. To sustain our review and program selection processes, we expect at least one author of each submitted paper to volunteer to participate as a reviewer for the DATA-FM 2026 workshop.WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventCram Less to Fit More: Training Data Pruning Improves Memorization of FactsTrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventCram Less to Fit More: Training Data Pruning Improves Memorization of Facts🏆 Best PaperTrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventMulti-Modal Data Mixtures via Latent Space Coupling for Vision-Language Model TrainingTrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventTo promote diversity, equity, and inclusion, the workshop offered a limited number of free full ICLR 2026 conference registrations for early-career researchers and students, with priority given to early-career attendees. Application deadline: ~~March 10th, 2026 AoE~~ - closed.WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventThe workshop valued high-quality peer review and offered a limited number of free full ICLR 2026 conference registrations for reviewers who provided exceptional reviews. This was a self-nominated award. Application deadline: ~~March 10th, 2026 AoE~~ - closed.WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventThe complete list of accepted papers is available on OpenReview.UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all event2. MixtureVitae: Open Web-Scale Pretraining Dataset With High Quality Instruction and Reasoning Data Built from Permissive-First Text SourcesTrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all event3. Language Self-Play For Data-Free TrainingTrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all event5. DUMP: Distribution-Level Curriculum Learning for RL-based LLM Post-trainingTrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all event22. ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of MultilingualityTrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all event28. OPUS: Towards Principled and Scalable Data Selection for Large Language Model Pre-training in Every IterationTrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all event35. COMBATING DATA LAUNDERING IN LLM TRAININGTrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all event36. Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts OralTrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all event43. Toward Evaluating Model Collapse in LLMs: Insights from Continual PretrainingTrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all event124. Verifying the Verifiers: Failure Attribution for Benchmark Diagnostics and Training Data CurationTrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventWorkshop ProgramWorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
9am-5pmWorkshop Schedule (04/26/2026, )WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all event📹 Talk recordings are available on theICLR virtual workshop page.WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
9:00 - 9:10 AMOpening Remarks 📖Opening RemarksOrientation+
Format · BroadcastOpening RemarksFraming or welcome from the stage. Orients the room, not participatory.
Evidence basisMediumRead from source
9:10 - 9:40 AMInvited Talk: Baharan Mirzasoleiman 🤝🗣️PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
9:40 - 10:10 AMInvited Talk: Sewon Min 🤝🗣️PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
10:10 - 10:30 AMCoffee Break ☕BreakWellbeing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisMediumRead from source
10:30 - 10:45 AMOral Presentation 1: Mayee Chen 📊PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
10:45 - 11:00 AMOral Presentation 2: Fazl Barez 📊PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
11:00 - 11:15 AMOral Presentation 3: Kunal Talwar 📊PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
11:15 AM - 12:00 PMPoster Session I 🪧Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
12:00 - 1:30 PMLunch Break 🍲MealWellbeing+
Format · LogisticsMealA pacing block. Can carry unstructured networking, not scored as participant work.
Evidence basisMediumRead from source
1:30 - 2:00 PMInvited Talk: Juan Carlos Niebles 🤝🗣️PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
2:00 - 2:15 PMOral Presentation 4: Jacqueline He 📊PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
2:15 - 2:30 PMOral Presentation 5: Arshia Afzal 📊PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
2:30 - 2:45 PMOral Presentation 6: Maximilian Idahl 📊PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
3:20 - 3:50 PMInvited Talk: Fred Sala 🤝🗣️PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
3:50 - 4:05 PMIndustry Lightning Talk: Snorkel AI 👥💬PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
4:05 - 4:10 PMClosing Remarks 📗Closing RemarksOrientation+
Format · BroadcastClosing RemarksClosing framing from the stage. Wraps the event, not participatory.
Evidence basisMediumRead from source
4:10 - 5:00+ Poster Session II 🪧Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
all eventWorkshop OrganizersWorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
The Full Reading
Why It Ranks This Way +
Calibrated from GES design 48/100 and verified 48/100 with no fourth-loop cap.
Reader Takeaway. For a reader, this is a useful but still incomplete public example: it reads as an applied learning or working session, with the strongest visible signal in participation architecture and future-of-work fit and the biggest open question around follow through and network design. The practical test is whether the published agenda connects the room to execution quality beyond the public agenda.
Strongest signals: Participation Architecture, Future-of-Work Fit, and Problem Specificity. 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 +
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 data-fm-iclr2026.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, Impact evidence, 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 baseline measurement is visible.
Score caps
- No fourth-loop score cap applied.
Review flags
- 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_3rd_workshop_on_navigati"><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.