{"schema_version":1,"assessment_id":"eoa_inverse_innovation_exp03_opportunity320_20260801","source_experiment_id":"eoa_inverse_innovation_exp03_full320_20260801","cell_id":"deadweight_loss_reduction__astronomy_astrophysics","archetype_slug":"deadweight_loss_reduction","domain_slug":"astronomy_astrophysics","title":"Bounded Reallocation of Otherwise-Expiring Telescope Time","opportunity_summary":"Prequalify compatible standby programs and allow an observatory scheduling authority to reassign voluntarily released, still-usable observing slots under published safeguards. The candidate could recover productive observations without weakening scientific review or safety constraints, but the existence and size of recoverable overlap remain unverified hypotheses.","adopter_authorizer":"The adopting operator is the observatory scheduling authority and operations staff; authorization rests with that authority under policies approved by the time-allocation committee and institutional governance bodies.","scores":{"meaningful_impact":{"score":3,"rationale":"Recovering scientifically usable time could produce meaningful additional observations from fixed capacity, but the packet provides no evidence about how often usable slots expire or how much compatible unmet demand exists."},"stakeholder_pull":{"score":2,"rationale":"The packet identifies observatory staff, investigators, alternate programs, and research communities as affected parties, but contains no evidence that any of them have requested this mechanism or regard stale allocation as a material operational problem."},"incremental_advantage":{"score":3,"rationale":"Prequalification, systematic compatibility matching, and conditional transfer rules plausibly improve on manual phone or email fallback, but no comparative evidence shows better recovery after staff burden, disruption, quality, and access incidence are counted."},"distinctiveness_plausibility":{"score":2,"rationale":"The proposed composition is specific and testable, but prior art is explicitly unsearched and the packet acknowledges that existing queue, service, or dynamic scheduling practices may overlap substantially."},"technical_implementability":{"score":4,"rationale":"A voluntary, single-instrument workflow using eligibility, readiness, compatibility, notification, monitoring, and rollback rules appears technically bounded; uncertainty remains about data integration, response latency, and operations workload."},"adoption_authority_feasibility":{"score":4,"rationale":"The packet identifies the scheduling authority and necessary governance approval, limits eligibility to already-reviewed programs, and provides explicit exclusions and rollback conditions. Policy approval and awardee acceptance are not yet demonstrated."},"evidence_readiness":{"score":4,"rationale":"Idle-slot, release, completion, compatibility, and reassignment records provide a concrete retrospective test, followed only if warranted by a bounded comparison pilot. Record completeness and reliable classification of usable downtime remain uncertain."},"safety_net_benefit":{"score":3,"rationale":"The standby pool could preserve expiring opportunities for qualified programs while retaining safety, merit, and proprietary-data protections, but rapid-response requirements could instead favor highly staffed repeat participants unless access incidence is controlled."},"scalability":{"score":3,"rationale":"Published rules and compatibility matching could be reused across cycles or instruments, but telescope time is nonfungible and observatory-specific constraints, governance, staffing, and instrument modes may limit transferability."}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"10K_TO_50K","scope":"Retrospective analysis of one prior cycle for one observatory and one low-risk instrument or scheduling mode, including data extraction, downtime classification, compatibility reconstruction, staff validation, and a prespecified comparison with baseline handling.","confidence":"MODERATE","assumptions":["Relevant scheduling, release, weather, fault, completion, and proposal-readiness records already exist.","Analysis can use existing institutional data access without new hardware or extensive compliance review.","The study requires limited analyst, scheduler, scientist, and governance staff time."]},"initial_deployment_startup":{"band_2026_usd":"50K_TO_250K","scope":"Design and configure a one-instrument standby-pool system, including eligibility and priority rules, compatibility fields, notification or matching workflow, audit logging, access controls, staff training, and governance approval.","confidence":"LOW","assumptions":["Existing scheduling software can be extended rather than replaced.","No safety-critical instrument-control automation is introduced.","Legal, proprietary-data, and institutional review remain limited to an internal operational pilot."]},"operational_launch":{"band_2026_usd":"50K_TO_250K","scope":"Run and evaluate one bounded observing-cycle pilot with voluntary releases, prequalified alternates, scheduler oversight, incident monitoring, baseline comparison, access-incidence review, and rollback capacity.","confidence":"LOW","assumptions":["The pilot covers one observatory and one low-risk mode.","Human approval remains required for every reassignment.","The band includes incremental operations coverage and independent evaluation but excludes major telescope or instrument upgrades."]},"annual_recurring":{"band_2026_usd":"50K_TO_250K","scope":"Maintain a limited operational program through standby-pool administration, readiness checks, scheduler coverage, software support, governance review, quality monitoring, and periodic fairness and burden audits.","confidence":"LOW","assumptions":["Usage remains limited to a small number of instruments or scheduling modes.","Existing observatory personnel absorb part, but not all, of the workload.","No evidence yet establishes reassignment volume, required after-hours coverage, or automation needs."]}},"research_burden":"MODERATE","earliest_credible_horizon":"3_TO_12_MONTHS","pipeline_gates":{"recognizable_externally_supportable_problem":{"status":"UNCERTAIN","reason":"The packet specifies an observable and falsifiable loss mechanism, but labels it a hypothesis and supplies no external evidence that usable released capacity materially overlaps with compatible ready demand."},"identifiable_adopter_or_authorizer":{"status":"YES","reason":"The observatory scheduling authority is explicitly identified as operator, acting under policy approved by the time-allocation committee and institutional governance bodies."},"distinct_testable_incremental_claim":{"status":"YES","reason":"The candidate claims that prequalification plus conditional reassignment will outperform fixed-cycle allocation and manual fallback on usable-hour or approved-observation completion, net of burden, disruption, quality, and access effects."},"bounded_next_evidence_step":{"status":"YES","reason":"One prior-cycle retrospective analysis is bounded, non-deploying, decision-relevant, and can falsify the problem by finding no material overlap after physical and safety downtime are excluded."},"no_unresolved_safety_or_authority_stop":{"status":"YES","reason":"The candidate preserves scientific and technical review, forbids overrides of safety and instrument constraints, names the approving bodies, and specifies immediate halt and rollback triggers. Actual approval is still required before any pilot."},"implementation_cost_scope_and_range":{"status":"UNCERTAIN","reason":"The candidate bounds a one-instrument workflow, allowing provisional resource bands, but does not disclose current software capability, record quality, staffing model, review requirements, or after-hours operating needs."}},"blocking_evidence":["No measured evidence establishes material overlap between usable released slots and qualified, ready, technically compatible unmet programs.","The net improvement over manual fallback is unknown after operations labor, disruption, scientific quality, original-program completion, and access incidence are included.","Existing observatory queue, service, dynamic-scheduling, or reassignment practices are unsearched, leaving the incremental mechanism and evaluation contribution uncertain.","The completeness and comparability of release, downtime, readiness, compatibility, completion, and reassignment records are unknown."],"next_evidence_step":"For one prior observing cycle and one low-risk instrument or mode, prespecify usability and compatibility rules, classify every late-released or abandoned block, and compare observed baseline disposition with a blinded or rules-based simulated standby match. Stop if records cannot reliably distinguish usable capacity or if no material overlap remains after weather, faults, geometry, calibration, personnel, and safety exclusions; proceed to pilot design only if recoverable completion remains after estimated staff burden and access-incidence checks.","research_questions":["What fraction of released or apparently idle time remained scientifically and technically usable after all physical, personnel, calibration, and safety exclusions?","For that usable time, how often was at least one already-approved program ready and compatible within the required response window?","How much additional usable-hour or approved-observation completion would rules-based reassignment provide relative to manual fallback after operations cost and disruption?","Would readiness and rapid-response requirements systematically concentrate reassigned time among highly staffed or repeat-participant teams?","Which existing scheduling practices already provide equivalent queueing, service observing, conditional transfers, or compatibility matching?","What policy changes and data-system modifications would the identified authority require for a reversible one-mode pilot?","Which thresholds for safety events, original-award degradation, staff burden, scientific quality, and access disparity should trigger rollback?"] ,"recommendation":"VALIDATE_PROBLEM_FIRST","uncertainty_constraints":["All prevalence, recoverable-capacity, demand-overlap, effect-size, and stakeholder-pull claims remain unsupported hypotheses.","World novelty and distinctiveness cannot be assessed because prior art and current observatory practice are explicitly unsearched.","Cost bands are resource-equivalent planning ranges, not estimates based on a known observatory technology stack or staffing model.","Scalability cannot be inferred across instruments or observatories because compatibility, governance, and scheduling constraints may differ materially.","No live deployment is warranted by the sealed evidence; the retrospective comparison must precede any prospective pilot."],"closed_book_prior_art_boundary":"No conclusion is made about novelty, prevalence, market size, realized impact, or existing observatory implementations. The sealed packet states that prior art is unsearched; any resemblance to queue scheduling, service observing, target-of-opportunity systems, standby lists, or dynamic allocation must be resolved through external research."}