2026 · project
HackAgents BIU 2026
The faculty news item identifies Simonovsky as a co-lead of an event in which teams built AI agents.[17]
AI-agent prototyping event coordination
Alexandra Simonovsky
אלכסנדרה סימנובסקי
Identity: provisionalA Bar-Ilan Engineering page identifies Dr. Alexandra Simonovsky and a separate faculty item names her as a HackAgents BIU 2026 co-lead; the bounded search did not establish a research publication identity. [16][17]
Documented foundation
Research & experience
A Bar-Ilan Engineering page identifies Dr. Alexandra Simonovsky, and a faculty news item identifies her as a co-lead of the 2026 HackAgents event; a teaching role, research appointment and publication record were not verified.[16][17]
AI-agent hackathon coordination
CV and official profile
Only sparse institutional identity and event pages were found; no CV or research profile was verified.[16][17]
Selected work
Representative records, not a complete publication list. Metadata confirms attribution; it does not independently replicate a result.
Patent evidence
0 catalogued patent records
Coverage: No attributable record found in this search
Identity remains provisional. The official Hebrew faculty page names Alexandra Simonovsky and exposes the Litinsky surname in its institutional alias; this is a search lead, not proof of another legal inventor identity. English Simonovsky/Litinsky/Litinski and Hebrew searches produced no inspected attributable patent. No inference of patent absence; full research identity and any prior affiliations/CV remain unresolved.
No publication records verified in this search; this does not establish absence of patents.
Original report snapshot
Original evidence: not verified
No attributable patent record was verified in the bounded search; identity ambiguity makes negative inference especially unsafe.
Records are counted separately from identified families. Author-reported entries are labelled and may still need publication verification. Inventorship, publication-time applicant and current ownership are different facts. No legal-status, patentability or freedom-to-operate conclusion is made.
Scores prioritize research fit from 1–10; they are not probabilities.
Review: Reviewed with limitations
Proposed capability matches, not confirmed relationships. Scores are analyst judgments with low forecast confidence; researcher interests, capacity and feasibility need confirmation.
Internal connections
10 candidates
Connection 1
Hila Chalutz-Ben Gal
Identity check needed: Conditional proposal: confirm the researcher identity and research interests before assessing this match.
Proposal hypothesis: Conditional on confirming Simonovsky's identity and role, her documented AI-agent event coordination could support a cohort protocol designed by Chalutz-Ben Gal for studying prototype use.[16][17][22][23]
First test and score details
First test
Conditional proposed first test: After confirmation, prepare a voluntary workshop task and pre/post skill rubric using synthetic examples; pilot rubric clarity before recruitment.
Score components
- complementarity
- 2
- feasible first test
- 2
- topic overlap
- 1
Why this rank
Rank 1/10; fit 5/10 (1 topic overlap + 2 complementarity + 2 feasible first test). New pairing outside the frozen portfolio co-member graph. Simonovsky is proposed for coordination only; no research, teaching or people-analytics expertise is inferred. Equal scores use existing-first, then stable researcher ID.
Conditions
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work. Conditional: confirm Alexandra Simonovsky identity and current role before any team assignment. Evidence supports AI-agent event coordination only; research appointment, teaching role and technical research expertise are not verified. Excluded from confirmed-team claims.
Connection 2
Jacob Goldberger
Identity check needed: Conditional proposal: confirm the researcher identity and research interests before assessing this match.
Proposal hypothesis: Conditional on confirmation, Simonovsky's event-coordination experience could support a prototype clinic with uncertainty-evaluation tasks designed by Goldberger.[16][17][75][76]
First test and score details
First test
Conditional proposed first test: After identity confirmation, prepare synthetic prediction examples and test whether a common submission form captures errors and confidence consistently.
Score components
- complementarity
- 2
- feasible first test
- 2
- topic overlap
- 1
Why this rank
Rank 2/10; fit 5/10 (1 topic overlap + 2 complementarity + 2 feasible first test). New pairing outside the frozen portfolio co-member graph. Goldberger owns the scientific evaluation; no machine-learning specialization is inferred for Simonovsky. Equal scores use existing-first, then stable researcher ID.
Conditions
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work. Conditional: confirm Alexandra Simonovsky identity and current role before any team assignment. Evidence supports AI-agent event coordination only; research appointment, teaching role and technical research expertise are not verified. Excluded from confirmed-team claims.
Connection 3
Ori Ernst
Identity check needed: Conditional proposal: confirm the researcher identity and research interests before assessing this match.
Proposal hypothesis: Conditional on confirmation, Simonovsky could coordinate an agent-prototype exercise whose source-alignment task and scientific rubric are defined by Ernst.[16][17][93][94][95]
First test and score details
First test
Conditional proposed first test: After identity confirmation, package ten open-text summary tasks with source passages and pilot whether teams can submit auditable outputs.
Score components
- complementarity
- 2
- feasible first test
- 2
- topic overlap
- 1
Why this rank
Rank 3/10; fit 5/10 (1 topic overlap + 2 complementarity + 2 feasible first test). New pairing outside the frozen portfolio co-member graph. Event coordination is documented; NLP research capability and evaluator expertise are not established for Simonovsky. Equal scores use existing-first, then stable researcher ID.
Conditions
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work. Conditional: confirm Alexandra Simonovsky identity and current role before any team assignment. Evidence supports AI-agent event coordination only; research appointment, teaching role and technical research expertise are not verified. Excluded from confirmed-team claims.
Show 7 moreShow fewer internal connections
Connection 4
Ran Gelles
Identity check needed: Conditional proposal: confirm the researcher identity and research interests before assessing this match.
Proposal hypothesis: Conditional on confirmation, Simonovsky could coordinate an agent-prototype reliability workshop where Gelles defines message-corruption and correctness tests.[16][17][57][58]
First test and score details
First test
Conditional proposed first test: After identity confirmation, prepare a toy agent exchange with fixed corruptions and a reproducibility checklist for completed tasks.
Score components
- complementarity
- 2
- feasible first test
- 1
- topic overlap
- 1
Why this rank
Rank 4/10; fit 4/10 (1 topic overlap + 2 complementarity + 1 feasible first test). New pairing outside the frozen portfolio co-member graph. The proposal uses coordination capability only; protocol theory and technical mentoring capability are not attributed to Simonovsky. Equal scores use existing-first, then stable researcher ID.
Conditions
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work. Conditional: confirm Alexandra Simonovsky identity and current role before any team assignment. Evidence supports AI-agent event coordination only; research appointment, teaching role and technical research expertise are not verified. Excluded from confirmed-team claims.
Connection 5
Shahar Somin
Identity check needed: Conditional proposal: confirm the researcher identity and research interests before assessing this match.
Proposal hypothesis: Conditional on confirmation, Simonovsky could coordinate a synthetic event-analysis challenge while Somin supplies the temporal-network task and evaluation.[16][17][64][65]
First test and score details
First test
Conditional proposed first test: After identity confirmation, package artificial coordination and non-coordination traces and pilot the clarity of labels and submission requirements.
Score components
- complementarity
- 2
- feasible first test
- 1
- topic overlap
- 1
Why this rank
Rank 5/10; fit 4/10 (1 topic overlap + 2 complementarity + 1 feasible first test). New pairing outside the frozen portfolio co-member graph. No real identity matching or inferred network-science expertise for Simonovsky is proposed. Equal scores use existing-first, then stable researcher ID.
Conditions
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work. Conditional: confirm Alexandra Simonovsky identity and current role before any team assignment. Evidence supports AI-agent event coordination only; research appointment, teaching role and technical research expertise are not verified. Excluded from confirmed-team claims.
Connection 6
Ethan Fetaya
Identity check needed: Conditional proposal: confirm the researcher identity and research interests before assessing this match.
Proposal hypothesis: Conditional on confirmation, Simonovsky could coordinate prototype submissions for a robustness challenge whose adversarial tasks are designed by Fetaya.[16][17][73]
First test and score details
First test
Conditional proposed first test: After identity confirmation, draft a sandboxed challenge with fixed benign corruptions and a scoring rubric; test the instructions on sample outputs.
Score components
- complementarity
- 2
- feasible first test
- 1
- topic overlap
- 1
Why this rank
Rank 6/10; fit 4/10 (1 topic overlap + 2 complementarity + 1 feasible first test). New pairing outside the frozen portfolio co-member graph. The technical evaluation belongs to Fetaya; coordination experience does not establish AI-safety research expertise. Equal scores use existing-first, then stable researcher ID.
Conditions
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work. Conditional: confirm Alexandra Simonovsky identity and current role before any team assignment. Evidence supports AI-agent event coordination only; research appointment, teaching role and technical research expertise are not verified. Excluded from confirmed-team claims.
Connection 7
Gonen Singer
Identity check needed: Conditional proposal: confirm the researcher identity and research interests before assessing this match.
Proposal hypothesis: Conditional on confirmation, Simonovsky could coordinate an agent-prototype event where Singer supplies a resource-allocation simulation as the challenge.[16][17][79][80]
First test and score details
First test
Conditional proposed first test: After identity confirmation, package a synthetic queue and fixed cost function; pilot a submission checklist that records cost and unmet demand.
Score components
- complementarity
- 2
- feasible first test
- 1
- topic overlap
- 1
Why this rank
Rank 7/10; fit 4/10 (1 topic overlap + 2 complementarity + 1 feasible first test). New pairing outside the frozen portfolio co-member graph. Coordination is the only evidenced Simonovsky capability; operational research and algorithm design are not assigned to her. Equal scores use existing-first, then stable researcher ID.
Conditions
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work. Conditional: confirm Alexandra Simonovsky identity and current role before any team assignment. Evidence supports AI-agent event coordination only; research appointment, teaching role and technical research expertise are not verified. Excluded from confirmed-team claims.
Connection 8
Izack Cohen
Identity check needed: Conditional proposal: confirm the researcher identity and research interests before assessing this match.
Proposal hypothesis: Conditional on confirmation, Simonovsky could organize a bounded process-modelling prototype exercise specified by Izack Cohen.[16][17][97][98]
First test and score details
First test
Conditional proposed first test: After identity confirmation, create a workshop brief around one synthetic bottleneck with a common event-log format and reproducibility checklist.
Score components
- complementarity
- 2
- feasible first test
- 1
- topic overlap
- 1
Why this rank
Rank 8/10; fit 4/10 (1 topic overlap + 2 complementarity + 1 feasible first test). New pairing outside the frozen portfolio co-member graph. The process model and scientific interpretation belong to Izack Cohen, not to an inferred Simonovsky research role. Equal scores use existing-first, then stable researcher ID.
Conditions
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work. Conditional: confirm Alexandra Simonovsky identity and current role before any team assignment. Evidence supports AI-agent event coordination only; research appointment, teaching role and technical research expertise are not verified. Excluded from confirmed-team claims.
Connection 9
Leonid Yavits
Identity check needed: Conditional proposal: confirm the researcher identity and research interests before assessing this match.
Proposal hypothesis: Conditional on confirmation, Simonovsky could coordinate a reproducible prototype exercise using a small compute workload specified by Yavits.[16][17][104][105]
First test and score details
First test
Conditional proposed first test: After identity confirmation, prepare a software-only workload brief and common latency/memory-report template; pilot whether submissions are comparable.
Score components
- complementarity
- 2
- feasible first test
- 1
- topic overlap
- 1
Why this rank
Rank 9/10; fit 4/10 (1 topic overlap + 2 complementarity + 1 feasible first test). New pairing outside the frozen portfolio co-member graph. No access to hardware, research appointment or computer-architecture expertise is inferred for Simonovsky. Equal scores use existing-first, then stable researcher ID.
Conditions
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work. Conditional: confirm Alexandra Simonovsky identity and current role before any team assignment. Evidence supports AI-agent event coordination only; research appointment, teaching role and technical research expertise are not verified. Excluded from confirmed-team claims.
Connection 10
Ilan Reuven Cohen
Identity check needed: Conditional proposal: confirm the researcher identity and research interests before assessing this match.
Proposal hypothesis: Conditional on confirmation, Simonovsky could coordinate prototype teams around an online allocation problem designed by Ilan Cohen.[16][17][119][120]
First test and score details
First test
Conditional proposed first test: After identity confirmation, draft a fixed arrival-stream exercise and checklist for reporting regret and constraint violations before recruiting teams.
Score components
- complementarity
- 2
- feasible first test
- 1
- topic overlap
- 1
Why this rank
Rank 10/10; fit 4/10 (1 topic overlap + 2 complementarity + 1 feasible first test). New pairing outside the frozen portfolio co-member graph. This is conditional event participation, not evidence of algorithmic or economics expertise for Simonovsky. Equal scores use existing-first, then stable researcher ID.
Conditions
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work. Conditional: confirm Alexandra Simonovsky identity and current role before any team assignment. Evidence supports AI-agent event coordination only; research appointment, teaching role and technical research expertise are not verified. Excluded from confirmed-team claims.
External connections
10 candidates
Connection 1
Chris Piech
Stanford University
Original proposal
Identity check needed: Conditional proposal: confirm the researcher identity and research interests before assessing this match.
Piech's Stanford profile combines computer science, AI and research on how people learn, complementing the observed instructional and prototyping role; this is a proposed match only.[16][17][18][485]
First test and score details
First test
Identity confirmation needed. Only after confirming the intended role and appointing a qualified scientific lead, draft one prototype-task rubric and score ten synthetic responses with known error types. Compare agreement with an independently authored answer key; a later human-annotation pilot requires confirmed evaluators. The provisional subject could coordinate materials if that role is confirmed, not supply teaching or algorithmic expertise.
Score components
- complementarity
- 2
- feasible first test
- 2
- topic overlap
- 1
Why this rank
Rank 1/10 after semantic revision; analyst score 5 = max(1, 1+2+2): topic overlap 1/4, complementarity 2/3, feasible first test 2/3. The proposed bridge is conditional coordination of an evaluation exercise with an education-method lead; neither researcher identity nor teaching expertise is established for the subject. The experiment, numerical inputs or identity/scope needs confirmation before execution. Original remains first under these components; original status breaks equal-score ties only, without a prestige bonus.
Conditions
Conditional proposal: identity confirmation needed before this match is interpreted as researcher expertise. The inspected evidence supports event coordination only; it does not confirm AI/education research expertise. Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified. Post-review scope: The proposed bridge is conditional coordination of an evaluation exercise with an education-method lead; neither researcher identity nor teaching expertise is established for the subject. This revised proposal awaits independent targeted re-review; simulated outcomes would establish model behavior only, not biological, clinical or deployed benefit.
Connection 2
Erik Brynjolfsson
Stanford University
Identity check needed: Conditional proposal: confirm the researcher identity and research interests before assessing this match.
Proposed capability match for Alexandra Simonovsky with Erik Brynjolfsson: Conditional task-workflow coordination is closer to the stated prototype context than an algorithm contribution, but real productivity evaluation requires a separate study lead and protocol.[16][17][24][443]
First test and score details
First test
Identity confirmation needed. Only after confirming the intended role and appointing a qualified scientific lead, specify an assistance-on/off task workflow using ten synthetic task logs with separate execution, verification and rework times. Compare the same quality-adjusted-time formula across arms and test sensitivity to error penalties. Do not estimate real productivity or skill-group effects from these logs.
Score components
- complementarity
- 2
- feasible first test
- 1
- topic overlap
- 1
Why this rank
Rank 2/10 after semantic revision; analyst score 4 = max(1, 1+2+1): topic overlap 1/4, complementarity 2/3, feasible first test 1/3. Conditional task-workflow coordination is closer to the stated prototype context than an algorithm contribution, but real productivity evaluation requires a separate study lead and protocol. The experiment, numerical inputs or identity/scope needs confirmation before execution.
Conditions
Conditional proposal: identity confirmation needed before this match is interpreted as researcher expertise. The inspected evidence supports event coordination only; it does not confirm AI/education research expertise. Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified. Post-review scope: Conditional task-workflow coordination is closer to the stated prototype context than an algorithm contribution, but real productivity evaluation requires a separate study lead and protocol. This revised proposal awaits independent targeted re-review; simulated outcomes would establish model behavior only, not biological, clinical or deployed benefit.
Connection 3
Yarin Gal
University of Oxford
Identity check needed: Conditional proposal: confirm the researcher identity and research interests before assessing this match.
Proposed capability match for Alexandra Simonovsky with Yarin Gal: Uncertainty evaluation is a conditional technical work package that could be coordinated; the available subject evidence supplies no machine-learning expertise.[16][17][78][452]
First test and score details
First test
Identity confirmation needed. Only after confirming the intended role and appointing a qualified scientific lead, make a toy response table with answer labels and stipulated confidence values, compare temperature calibration with unchanged confidence on a held-out subset, and report calibration error and abstention risk. The subject's possible role is arranging the evaluation artifacts after confirmation; model design belongs to the scientific lead.
Score components
- complementarity
- 2
- feasible first test
- 2
- topic overlap
- 0
Why this rank
Rank 3/10 after semantic revision; analyst score 4 = max(1, 0+2+2): topic overlap 0/4, complementarity 2/3, feasible first test 2/3. Uncertainty evaluation is a conditional technical work package that could be coordinated; the available subject evidence supplies no machine-learning expertise. The experiment, numerical inputs or identity/scope needs confirmation before execution.
Conditions
Conditional proposal: identity confirmation needed before this match is interpreted as researcher expertise. The inspected evidence supports event coordination only; it does not confirm AI/education research expertise. Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified. Post-review scope: Uncertainty evaluation is a conditional technical work package that could be coordinated; the available subject evidence supplies no machine-learning expertise. This revised proposal awaits independent targeted re-review; simulated outcomes would establish model behavior only, not biological, clinical or deployed benefit.
Show 7 moreShow fewer external connections
Connection 4
Dan Jurafsky
Stanford University
Identity check needed: Conditional proposal: confirm the researcher identity and research interests before assessing this match.
Proposed capability match for Alexandra Simonovsky with Dan Jurafsky: A language-evaluation materials role may fit a confirmed coordination brief, while linguistic validity and model interpretation require a separate qualified lead.[16][17][464]
First test and score details
First test
Identity confirmation needed. Only after confirming the intended role and appointing a qualified scientific lead, construct ten paired prompts with identical supporting passages but different politeness or social framing and an answer key. Compare supported-answer consistency with unchanged prompts, keeping model and decoding settings fixed. A language-method lead must review whether the wording pairs preserve meaning.
Score components
- complementarity
- 1
- feasible first test
- 2
- topic overlap
- 1
Why this rank
Rank 4/10 after semantic revision; analyst score 4 = max(1, 1+1+2): topic overlap 1/4, complementarity 1/3, feasible first test 2/3. A language-evaluation materials role may fit a confirmed coordination brief, while linguistic validity and model interpretation require a separate qualified lead. The experiment, numerical inputs or identity/scope needs confirmation before execution.
Conditions
Conditional proposal: identity confirmation needed before this match is interpreted as researcher expertise. The inspected evidence supports event coordination only; it does not confirm AI/education research expertise. Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified. The official page lists sabbatical during 2026-2027; availability is not inferred. Post-review scope: A language-evaluation materials role may fit a confirmed coordination brief, while linguistic validity and model interpretation require a separate qualified lead. This revised proposal awaits independent targeted re-review; simulated outcomes would establish model behavior only, not biological, clinical or deployed benefit.
Connection 5
Mirella Lapata
University of Edinburgh
Identity check needed: Conditional proposal: confirm the researcher identity and research interests before assessing this match.
Proposed capability match for Alexandra Simonovsky with Mirella Lapata: Document-evaluation coordination is a conditional role, but reliable source-labelled materials and expert assessment are not yet confirmed.[16][17][96][467]
First test and score details
First test
Identity confirmation needed. Only after confirming the intended role and appointing a qualified scientific lead, scope a document-synthesis task and annotate a tiny synthetic document set for source-supported propositions. Compare extractive and generative summaries using that same proposition key and input budget. Establish who can independently assess the annotations before claiming a usable evaluation.
Score components
- complementarity
- 2
- feasible first test
- 1
- topic overlap
- 1
Why this rank
Rank 5/10 after semantic revision; analyst score 4 = max(1, 1+2+1): topic overlap 1/4, complementarity 2/3, feasible first test 1/3. Document-evaluation coordination is a conditional role, but reliable source-labelled materials and expert assessment are not yet confirmed. The experiment, numerical inputs or identity/scope needs confirmation before execution.
Conditions
Conditional proposal: identity confirmation needed before this match is interpreted as researcher expertise. The inspected evidence supports event coordination only; it does not confirm AI/education research expertise. Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified. Post-review scope: Document-evaluation coordination is a conditional role, but reliable source-labelled materials and expert assessment are not yet confirmed. This revised proposal awaits independent targeted re-review; simulated outcomes would establish model behavior only, not biological, clinical or deployed benefit.
Connection 6
Susan Athey
Stanford University
Identity check needed: Conditional proposal: confirm the researcher identity and research interests before assessing this match.
Proposed capability match for Alexandra Simonovsky with Susan Athey: A causal study-design branch requires a confirmed research brief, scientific lead and participant protocol; the event-coordination evidence establishes no economics overlap.[16][17][433]
First test and score details
First test
Identity confirmation needed. Only after confirming the intended role and appointing a qualified scientific lead, write a toy randomized-task-assistance design with treatment defined as assistance on/off, outcome defined as time plus error penalties, and simulated assignment/outcomes. Check whether an average-effect estimator recovers a planted effect under attrition. This tests study-design bookkeeping, not benefits to actual participants.
Score components
- complementarity
- 2
- feasible first test
- 1
- topic overlap
- 0
Why this rank
Rank 6/10 after semantic revision; analyst score 3 = max(1, 0+2+1): topic overlap 0/4, complementarity 2/3, feasible first test 1/3. A causal study-design branch requires a confirmed research brief, scientific lead and participant protocol; the event-coordination evidence establishes no economics overlap. The experiment, numerical inputs or identity/scope needs confirmation before execution.
Conditions
Conditional proposal: identity confirmation needed before this match is interpreted as researcher expertise. The inspected evidence supports event coordination only; it does not confirm AI/education research expertise. Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified. Post-review scope: A causal study-design branch requires a confirmed research brief, scientific lead and participant protocol; the event-coordination evidence establishes no economics overlap. This revised proposal awaits independent targeted re-review; simulated outcomes would establish model behavior only, not biological, clinical or deployed benefit.
Connection 7
Christopher Manning
Stanford University
Identity check needed: Conditional proposal: confirm the researcher identity and research interests before assessing this match.
Proposed capability match for Alexandra Simonovsky with Christopher Manning: An entailment-engineering work package could be organized only under a confirmed technical brief; current subject evidence gives no NLP or algorithmic overlap.[16][17][472]
First test and score details
First test
Identity confirmation needed. Only after confirming the intended role and appointing a qualified scientific lead, build a small synthetic passage/assertion set with explicit entailment and contradiction labels. Compare lexical retrieval with an entailment-aware pipeline at equal candidate-set size by retrieval recall and unsupported-assertion rate. First confirm that a technical evidence-evaluation project and lead exist.
Score components
- complementarity
- 2
- feasible first test
- 1
- topic overlap
- 0
Why this rank
Rank 7/10 after semantic revision; analyst score 3 = max(1, 0+2+1): topic overlap 0/4, complementarity 2/3, feasible first test 1/3. An entailment-engineering work package could be organized only under a confirmed technical brief; current subject evidence gives no NLP or algorithmic overlap. The experiment, numerical inputs or identity/scope needs confirmation before execution.
Conditions
Conditional proposal: identity confirmation needed before this match is interpreted as researcher expertise. The inspected evidence supports event coordination only; it does not confirm AI/education research expertise. Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified. Post-review scope: An entailment-engineering work package could be organized only under a confirmed technical brief; current subject evidence gives no NLP or algorithmic overlap. This revised proposal awaits independent targeted re-review; simulated outcomes would establish model behavior only, not biological, clinical or deployed benefit.
Connection 8
Michael Mitzenmacher
Harvard University
Identity check needed: Conditional proposal: confirm the researcher identity and research interests before assessing this match.
Proposed capability match for Alexandra Simonovsky with Michael Mitzenmacher: Scheduling is an indirect infrastructure contribution, not documented subject expertise or a substitute for evaluating prototype answers.[16][17][101][478]
First test and score details
First test
Identity confirmation needed. Only after confirming the intended role and appointing a qualified scientific lead, decide whether prototype execution has a scheduling bottleneck. If yes, simulate ten tasks with explicit arrival times, service demands and two workers; compare FIFO with shortest-job-first on the same trace by completion time and starvation. Treat this solely as execution infrastructure, not response-quality evaluation.
Score components
- complementarity
- 1
- feasible first test
- 2
- topic overlap
- 0
Why this rank
Rank 8/10 after semantic revision; analyst score 3 = max(1, 0+1+2): topic overlap 0/4, complementarity 1/3, feasible first test 2/3. Scheduling is an indirect infrastructure contribution, not documented subject expertise or a substitute for evaluating prototype answers. The experiment, numerical inputs or identity/scope needs confirmation before execution.
Conditions
Conditional proposal: identity confirmation needed before this match is interpreted as researcher expertise. The inspected evidence supports event coordination only; it does not confirm AI/education research expertise. Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified. Post-review scope: Scheduling is an indirect infrastructure contribution, not documented subject expertise or a substitute for evaluating prototype answers. This revised proposal awaits independent targeted re-review; simulated outcomes would establish model behavior only, not biological, clinical or deployed benefit.
Connection 9
Kathleen M. Carley
Carnegie Mellon University
Identity check needed: Conditional proposal: confirm the researcher identity and research interests before assessing this match.
Proposed capability match for Alexandra Simonovsky with Kathleen M. Carley: A network-analysis branch is remote from documented event coordination and requires an explicitly chosen graph and event definition; no social-network research ability is inferred.[16][17][66][445]
First test and score details
First test
Identity confirmation needed. Only after confirming the intended role and appointing a qualified scientific lead, decide whether interaction-network analysis is actually in scope. If so, construct a tiny timestamped agent-message graph with planted duplicate-message bursts and matched activity rates; compare a burst detector with shuffled-time controls by planted-event detection error. Stop if the project has no meaningful interaction network.
Score components
- complementarity
- 1
- feasible first test
- 1
- topic overlap
- 0
Why this rank
Rank 9/10 after semantic revision; analyst score 2 = max(1, 0+1+1): topic overlap 0/4, complementarity 1/3, feasible first test 1/3. A network-analysis branch is remote from documented event coordination and requires an explicitly chosen graph and event definition; no social-network research ability is inferred. The experiment, numerical inputs or identity/scope needs confirmation before execution.
Conditions
Conditional proposal: identity confirmation needed before this match is interpreted as researcher expertise. The inspected evidence supports event coordination only; it does not confirm AI/education research expertise. Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified. Post-review scope: A network-analysis branch is remote from documented event coordination and requires an explicitly chosen graph and event definition; no social-network research ability is inferred. This revised proposal awaits independent targeted re-review; simulated outcomes would establish model behavior only, not biological, clinical or deployed benefit.
Connection 10
Gregory Wornell
Massachusetts Institute of Technology
Identity check needed: Conditional proposal: confirm the researcher identity and research interests before assessing this match.
Proposed capability match for Alexandra Simonovsky with Gregory Wornell: Task-oriented compression is a distant conditional methods branch whose decision target remains to be agreed; coordination evidence does not establish information-theory ability.[16][17][110][503]
First test and score details
First test
Identity confirmation needed. Only after confirming the intended role and appointing a qualified scientific lead, define a concrete evidence-compression task before modelling it: binary proposition labels, source snippets and a fixed byte budget. On a small synthetic table compare selected snippets with uniform truncation by retained true propositions and false support. Stop unless a scientific lead accepts this decision model.
Score components
- complementarity
- 1
- feasible first test
- 1
- topic overlap
- 0
Why this rank
Rank 10/10 after semantic revision; analyst score 2 = max(1, 0+1+1): topic overlap 0/4, complementarity 1/3, feasible first test 1/3. Task-oriented compression is a distant conditional methods branch whose decision target remains to be agreed; coordination evidence does not establish information-theory ability. The experiment, numerical inputs or identity/scope needs confirmation before execution.
Conditions
Conditional proposal: identity confirmation needed before this match is interpreted as researcher expertise. The inspected evidence supports event coordination only; it does not confirm AI/education research expertise. Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified. Post-review scope: Task-oriented compression is a distant conditional methods branch whose decision target remains to be agreed; coordination evidence does not establish information-theory ability. This revised proposal awaits independent targeted re-review; simulated outcomes would establish model behavior only, not biological, clinical or deployed benefit.
Evidence & open questions
- Research appointment, full English name form, CV, publications and patents remain unresolved.
Inspect claim ratings and independent review
Alexandra Simonovsky is documented on a Bar-Ilan Engineering identity page and as a co-lead of an AI-agent hackathon; teaching and research roles were not verified. [16][17]
Moderate confidenceReview: reviewedTeaching role, research appointment, publications and the surname alias remain unresolved.
Review record
- profiles_c: supports. The revised claim now matches the opened originals: the sparse official page verifies Simonovsky's name and Litinsky email alias, the event page verifies co-leadership, and teaching and research roles remain explicitly unverified.
Hypothesis: Simonovsky could help structure evidence-based evaluation for AI-agent prototypes in a future event. [17][18]
Low confidenceReview: reviewedHer research remit, governance role and ability to lead a study must be confirmed before planning.
Review record
- profiles_c: supports. The revised, bounded hypothesis is grounded in Simonovsky's verified AI-agent event co-leadership and Piech's computing-education and learning-evaluation expertise; it no longer asserts a teaching role or first-year mathematics scope.