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academic research science agenda agenda analysis

Program Committee

This academic research science agenda in Academic / Research / Science shows 80 visible agenda rows from 2025.ijcai.org and scores 29/100: a weak visible outcome architecture. The clearest public signals sit in Learning Transfer and Future-of-Work Fit; 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... A practical reading: For a reader, this is a comparison record more than a model to copy: it reads as an academic research science agenda, with the strongest visible signal in learning transfer 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 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 weak visible effectiveness evidence band. The strongest visible pillars are Learning Transfer, Future-of-Work Fit, and Problem Specificity; the thinnest visible pillars are Follow Through, Network Design, and Personalization. Visible mechanisms include Participant work, Feedback, Network design, Learning transfer, and Personalization. The extracted agenda preview includes 80 visible rows. The most common formats are Presentation, Poster Session, and Demo; the most common inferred purposes are Showcase, Knowledge Transfer, and Skill Building.

Primary source evidence: 2025.ijcai.org ↗

Eight-pillar fingerprint

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

Participation Architecture?39
Participation Architecture - 39/100. 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?32
Personalization - 32/100. 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?55
Learning Transfer - 55/100. Applied practice, feedback, workplace use, refreshers, and 30-90 day transfer.
Evidence Maturity?35
Evidence Maturity - 35/100. Baseline, comparison, follow-up, isolation, and attribution confidence.
Future-of-Work Fit?44
Future-of-Work Fit - 44/100. 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 80 classified blocks put participants to work; the rest broadcast, show, or handle logistics. That mix is what drives the participation score.

9
36
35
Participant workBroadcastShowcaseLogistics
10:00Location: Montreal Day: August 21st Time: Session: KRR: Learning and reasoningPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n83 to board n87Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
15:00Location: Montreal Day: August 21st Time: Session: Knowledge Representation and Reasoning (4/4)PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n71 to board n77Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
10:00Location: Montreal Day: August 22nd Time: Session: Computer Vision (3/3)PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n3 to board n4Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
all eventExisting deep neural network (DNN)-based blind image quality assessment (BIQA) methods primarily rely on human-rated datasets for training. However, collecting human labels is extremely time-consuming and labor-intensive, posing a significant bottleneck for practical applications. To address this challenge, we propose a Deep opinion-Unaware BIQA model by learning and adapting from Multiple Annotators, termed DUBMA, thereby eliminating the need for human annotations. Specifically, we first generate a large-scale set of distorted image pairs and then assign relative quality rankings using existing full-reference IQA models. The resulting dataset is subsequently employed for training our DUBMA.TrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
14:00Location: Montreal Day: August 20th Time: Session: Computer vision (2/3)PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n1 to board n5Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
15:00Location: Montreal Day: August 21st Time: Session: ML: Reinforcement Learning (2/2)PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n27 to board n33Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
14:00Location: Montreal Day: August 20th Time: Session: RoboticsPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n72 to board n76Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
10:00Location: Montreal Day: August 21st Time: Session: GTEP: Noncooperative gamesPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n58 to board n61Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
11:30Location: Montreal Day: August 21st Time: Session: Planning and Scheduling (4/5)PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n92 to board n96Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
14:00Location: Montreal Day: August 20th Time: Session: Agent-based and Multi-agent Systems (2/3)PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n65 to board n71Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
11:30Location: Montreal Day: August 21st Time: Session: GTEP: Fair divisionPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n67 to board n70Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
11:30Location: Montreal Day: August 19th Time: Session: GTEP: Computational social choice (1/2)PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n15 to board n18Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
15:00Location: Montreal Day: August 19th Time: Session: Game Theory and Economic ParadigmsPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n9 to board n14Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
11:30Location: Montreal Day: August 19th Time: Session: ML: Difussion ModelsPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n60 to board n61Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
all event567: Integrating Independent Layer-Wise Rank Selection with Low-Rank SVD Training for Model Compression: A Theory-Driven Approach PreprintTrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
14:00Location: Montreal Day: August 20th Time: Session: Machine Learning (3/4)PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n15 to board n21Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
10:00Location: Montreal Day: August 21st Time: Session: CV: attacksPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n4 to board n6Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
11:30Location: Montreal Day: August 19th Time: Session: Computer Vision (1/3)PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n4 to board n8Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
10:00Location: Montreal Day: August 20th Time: Session: Planning and Scheduling (3/5)PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n50 to board n54Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
10:00Location: Montreal Day: August 22nd Time: Session: Natural Language Processing (1/2)PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n5 to board n7Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
15:00Location: Montreal Day: August 21st Time: Session: CV: videosPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n1 to board n3Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
10:00Location: Montreal Day: August 20th Time: Session: Constraint Satisfaction and Optimization (2/3)PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n55 to board n58Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
11:30Location: Montreal Day: August 19th Time: Session: Uncertainty in AIPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n37 to board n41Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
11:30Location: Montreal Day: August 21st Time: Session: CV: BenchmarksPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n7 to board n9Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
15:00Location: Montreal Day: August 21st Time: Session: ML: Large Language ModelsPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
15:00Location: Montreal Day: August 19th Time: Session: Planning and Scheduling (2/5)PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n74 to board n80Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
all eventThis paper investigates fundamental aspects of Hierarchical Task Network (HTN) planning by systematically exploring recursive arrangements of primitive task networks. Working within a general framework that aligns with recently identified ACKERMANN-complete HTN problems, we map the computational complexity across various recursive configurations, revealing a rich complexity landscape. Through a novel proof technique that we call selective action nullification with state preservation, we demonstrate that even a highly restricted class of regular HTN problems remains PSPACE-complete, establishing a profound connection to classical planning. We hope these findings contribute to a deeper and broader understanding of the theoretical foundations of HTN planning.DemoShowcase+
Format · Participant workDemoA hands-on or applied walkthrough that invites attendee questions and direct engagement.
Evidence basisMediumRead from source
15:00Location: Montreal Day: August 19th Time: Session: KRR: ArgumentationPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n30 to board n36Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
14:00Location: Montreal Day: August 20th Time: Session: Game TheoryPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n59 to board n64Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
all eventHowever, these approaches can only reason about a pre-defined set of goals, and time-consuming training is needed for new emerging goals.TrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
10:00Location: Montreal Day: August 21st Time: Session: ML: Explainable/Interpretable machine learningPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n34 to board n38Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
all eventIn experiments on image classification in multiple instance learning and text classification using language models, we demonstrate that the HiFAs and LoFAs estimated by the proposed method are accurate, faithful to the behaviors of the black-box models, and provide consistent explanations.DemoShowcase+
Format · Participant workDemoA hands-on or applied walkthrough that invites attendee questions and direct engagement.
Evidence basisMediumRead from source
15:00Location: Montreal Day: August 21st Time: Session: DM: Graph Data MiningPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n39 to board n42Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
15:00Location: Montreal Day: August 19th Time: Session: Machine Learning (1/4)PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n47 to board n53Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
14:00Location: Montreal Day: August 20th Time: Session: ML: time series, sequences and signalsPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n6 to board n11Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
10:00Location: Montreal Day: August 21st Time: Session: AI Ethics, Trust, Fairness (2/3)PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n107 to board n108Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
all eventThis paper introduces a game-theoretic framework for restoring consistency in propositional bases. The process is modeled as an interactive dialogue between two agents: a Proponent, who seeks to isolate a unique, consistent subset by posing strategic questions, and an Opponent, who aims to obstruct that goal through adversarial responses. We show that this framework provides a foundation for quantifying the effort involved in restoring consistency, revealing a connection between this effort and entropy in information theory. Focusing on the case where consistency is achieved by isolating a single maximal consistent subset, we establish links between the structure and number of such subsets and the existence of winning strategies. Finally, we demonstrate how the quantified restoration effort can serve as a basis for measuring inconsistency.DemoShowcase+
Format · Participant workDemoA hands-on or applied walkthrough that invites attendee questions and direct engagement.
Evidence basisMediumRead from source
all event1691: Deep Learning-Based Pedestrian Simulation with Limited Real-World Training Data: An Evaluation Framework PreprintTrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
11:30Location: Montreal Day: August 22nd Time: Session: Game Theory and Economic ParadigmsPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n17 to board n19Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
11:30Location: Montreal Day: August 22nd Time: Session: Natural Language Processing (2/2)PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n8 to board n10Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
all eventThis paper introduces a general framework that generates grammars for target representation languages, enabling the translation of problems stated in CNL into formal representations. The related system, CNLWizard, offers a flexible, high-level approach to defining desired grammars, significantly reducing the time and effort needed to create custom grammars. Finally, we demonstrate the system's effectiveness through an experimental analysis.DemoShowcase+
Format · Participant workDemoA hands-on or applied walkthrough that invites attendee questions and direct engagement.
Evidence basisMediumRead from source
15:00Location: Montreal Day: August 19th Time: Session: Agent-based and Multi-agent Systems (1/3)PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n19 to board n24Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
all eventEmpirical results demonstrate that the novel solutions consistently outperform existing alternatives for non-stratified programs.DemoShowcase+
Format · Participant workDemoA hands-on or applied walkthrough that invites attendee questions and direct engagement.
Evidence basisMediumRead from source
15:00Location: Montreal Day: August 19th Time: Session: ML: Reinforcement learning (1/2)PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n54 to board n59Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
11:30Location: Montreal Day: August 22nd Time: Session: SearchPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPoster board placement. Any available position within this range: From board n27 to board n29Poster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source

The Full Reading

Why It Ranks This Way +

Calibrated from GES design 34/100 and verified 34/100 with no fourth-loop cap.

Reader Takeaway. For a reader, this is a comparison record more than a model to copy: it reads as an academic research science agenda, with the strongest visible signal in learning transfer 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 post-event continuation and evidence.

Strongest signals: Learning Transfer, 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 +

Event owner lens

Use this record to benchmark whether a comparable event makes the work after the room visible. The score is 29/100, 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 2025.ijcai.org. 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, Personalization.

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.
  • Satisfaction/NPS signal found, but it is excluded from effectiveness scoring.
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.

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Where To Go Next

Compare this agenda against other Academic / Research / Science events scored on the same eight pillars.