Event owner lens
Use this record to benchmark whether a comparable event makes the work after the room visible. The score is 33/100, so the next move is to benchmark the weakest pillars before repeating the format.
applied learning or working session agenda analysis
Ladisworkshop 2021
This applied learning or working session in Technology / AI / Startup shows 24 visible agenda rows from ladisworkshop.org and scores 33/100: a thin but inspectable design signal. 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, 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 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 post-event continuation and evidence. This page is an original public-evidence analysis, not a copy of the source agenda or an endorsement of the event. The score places the visible agenda in the thin outcome architecture band. The strongest visible pillars are Participation Architecture, Future-of-Work Fit, and Evidence Maturity; the thinnest visible pillars are Follow Through, Network Design, and Learning Transfer. Visible mechanisms include Participant work, Network design, and Learning transfer. The extracted agenda preview includes 36 visible rows. The most common formats are Unknown, Presentation, and Workshop; the most common inferred purposes are Knowledge Transfer, Unknown, and Expert Framing.
Eight-pillar fingerprint
Hover any pillar to see what it measures and, where it scored low, what the agenda is missing.
Participation Architecture?52
Participation Architecture - 52/100. 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?34
Problem Specificity - 34/100. A clear costly problem, objective, decision, or performance target.
Personalization?33
Personalization - 33/100. Role, path, goal, preparation, or connection tailoring for participants.
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?32
Learning Transfer - 32/100. Applied practice, feedback, workplace use, refreshers, and 30-90 day transfer.Missing: Build transfer into the agenda through practice, feedback, job aids, reflection, and 30-90 day use cases.
Evidence Maturity?38
Evidence Maturity - 38/100. Baseline, comparison, follow-up, isolation, and attribution confidence.
Future-of-Work Fit?49
Future-of-Work Fit - 49/100. 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
Learning Transfer (32/100)
Exercises that strengthen it: Team Challenge Activity for Group Problem-Solving: Don't... · Thrilling, Quick Elimination Game to Boost Energy - Match... · Creative Brain Teaser & Fun Geometric Team Puzzle - T-Puzzle
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
17 percent of the 36 classified blocks put participants to work; the rest broadcast, show, or handle logistics. That mix is what drives the participation score.
Participant workBroadcastShowcaseLogistics
all eventDistributed systems and middleware are at the epicenter of large-scale data centers, cloud computing infrastructures, scalable web services, and data analytics. The 12th Workshop on Large Scale Distributed Systems and Middleware (LADIS) aims to bring...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
16:00LADIS 2021 will take place in conjunction with EuroSys 2021 via Zoom on Monday, April 26th, 2021 from BST - BST ( ET).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
all eventThe program is on Sched and below. Sign up for EuroSys’21 free of charge here.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
16:00 to 16:50Session 1: Blockchain scalabilityWorkshopKnowledge transfer+
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
16:50 to 17:0017:00 to 17:50 Keynote (Joint with PaPoC)KeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
17:00 to 17:50Keynote (Joint with PaPoC)KeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
17:50 to 18:0018:00 to 19:15 Session 2: Large-scale ML & graph processingPresentationKnowledge 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
18:00 to 19:15Session 2: Large-scale ML & graph processingPresentationKnowledge 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
19:15 to 19:45Open discussions/hallroom conversations/breakBreakPacing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisOutcome inferred from formatInferred from format
19:45 to 20:45Session 3: Scalable and consistent data processing and storageWorkshopKnowledge transfer+
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
20:45 to 21:00Detailed programPresentationKnowledge 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 event2018 (@PODC, Royal Holloway, University of London, UK)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
all eventDistributed systems and middleware are at the epicenter of large-scale data centers, cloud computing infrastructures, scalable web services, and data analytics. The 12th Workshop on Large Scale Distributed Systems and Middleware (LADIS) aims to bring together a select group of researchers and professionals in the field to surface their work in an engaging virtual workshop atmosphere. Join us!WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
16:00 LADIS 2021 will take place in conjunction with EuroSys 2021 via Zoom on Monday, April 26th, 2021 from BST - BST ( ET).UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
all eventThe program is on Sched and below. Sign up for EuroSys’21 free of charge here.UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
16:00 to 16:50Session 1: Blockchain scalabilityPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
16:50 to 17:00 17:00 to 17:50 Keynote (Joint with PaPoC)KeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
17:00 to 17:50Keynote (Joint with PaPoC)KeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
17:50 to 18:00 18:00 to 19:15 Session 2: Large-scale ML & graph processingPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
18:00 to 19:15Session 2: Large-scale ML & graph processingPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
19:15 to 19:45 Open discussions/hallroom conversations/breakBreakWellbeing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisMediumRead from source
19:45 to 20:45Session 3: Scalable and consistent data processing and storagePresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
20:45 to 21:00 Detailed programUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
all eventBefore Ethereum, many would have scoffed at the very notion of decentralized finance. Now, it’s one of the most hyped areas of fintech. Ava Labs is building upon that momentum with a breakthrough in consensus protocols - Avalanche - to usher in a new era of finance defined by velocity, efficient use of capital, security against bad actors, and preservation of network value. This talk will focus on the Avalanche network and the Internet of Finance being built upon it.BreakWellbeing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisMediumRead from source
all eventEmin Gün Sirer is Co-founder and CEO at Ava Labs and a Professor of Computer Science at Cornell University, where his research focuses on operating systems, networking, and distributed systems. He is well-known for having implemented the first currency that used Proof-of-Work (PoW) to mint coins, as well as his research on selfish mining, characterizing the scale and centralization of existing cryptocurrencies, and having proposed the leading protocols for on-chain and off-chain scaling. He is the Co-Director of the Initiative for Cryptocurrencies and Smart Contracts (IC3), which aims to move blockchain-based applications from whiteboards and proofs-of-concept to tomorrow’s fast and reliable financial systemsNetworkingRelationship Building+
Format · LogisticsNetworkingUnstructured mixing. Can carry incidental connection, but is not scored as designed network work.
Evidence basisMediumRead from source
all eventScaling deep learning to a large cluster of workers is challenging due to high communication overheads that data-parallelism entails. This talk describes our efforts to rein in distributed deep learning’s communication bottlenecks. We describe SwitchML, the state-of-the-art in-network aggregation system for collective communication using programmable network switches. We introduce OmniReduce, an efficient streaming aggregation system that exploits sparsity to maximize effective bandwidth use. We touch on our work to develop compressed gradient communication algorithms that perform efficiently and adapt to network conditions. Lastly, we take a broad look at the challenges to accelerated decentralized training in the federated learning setting where heterogeneity is an intrinsic property of the environment.TrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventMarco Canini does not know what the next big thing will be. But he’s sure that our next-gen computing and networking infrastructure must be a viable platform for it and avoid stifling innovation. Marco’s research spans a number of areas in computer systems, including distributed systems, large-scale/cloud computing and computer networking with emphasis on programmable networks. His current focus is on designing better systems support for AI/ML and providing practical implementations deployable in the real-world.NetworkingRelationship Building+
Format · LogisticsNetworkingUnstructured mixing. Can carry incidental connection, but is not scored as designed network work.
Evidence basisMediumRead from source
all eventThe next generation of AI applications will continuously interact with the environment and learn from these interactions. These applications impose new and demanding systems requirements, both in terms of performance and flexibility. In this paper, we consider these requirements and present Ray - a distributed system to address them. Ray implements a unified interface that can express both task-parallel and actor-based computations, supported by a single dynamic execution engine. To meet the performance requirements, Ray employs a distributed scheduler and a distributed and fault-tolerant store to manage the system’s control state. In our experiments, we demonstrate scaling beyond 1.8 million tasks per second and better performance than existing specialized systems for several challenging reinforcement learning applications.DemoShowcase+
Format · Participant workDemoA hands-on or applied walkthrough that invites attendee questions and direct engagement.
Evidence basisMediumRead from source
all event2010 (@PODC, Zurich, Switzerland)UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all event2011 (@VLDB, Seattle, WA)UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all event2012 (@PODC, Madeira, Portugal)UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all event2013 (@SOSP, Farmington, PA)UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all event2014 (MSR, Cambridge, UK)UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all event2015 (@SOSP, Monterey, CA)UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all event2017 (@EuroSys, Serbia)UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all event2018 (@PODC, Royal Holloway, University of London, UK)UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
The Full Reading
Why It Ranks This Way +
Calibrated from GES design 32/100 and verified 32/100 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 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 post-event continuation and evidence.
Strongest signals: Participation Architecture, Future-of-Work Fit, and Evidence Maturity. Weakest signals: Follow Through, Network Design, and Learning Transfer.
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.
- Build transfer into the agenda through practice, feedback, job aids, reflection, and 30-90 day use cases.
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 ladisworkshop.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, 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.
- Passive stage formats dominate the visible agenda.
- No baseline measurement is visible.
Score caps
- No fourth-loop score cap applied.
Review flags
- No source-backed follow-up, validation, baseline, tracking, or impact evidence.
- No tracking, validation, feedback, or impact measurement found in the visible source text.
- High cleanup rate: many extracted rows were hidden or merged as fragments.
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_2021_software_imdea_org_conferences_papoc17_program_shtml_joint_session_with_lad"><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.