Abstracts due 19 Feb 2027 · Full papers due 5 Mar 2027 · Notification 28 May 2027 · Early registration closes 30 Jun 2027 · Doctoral consortium — 12 places · 20 travel bursaries available · All sessions streamed · Proceedings indexed in Scopus and DBLP
ITADA 2027 27
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ITADA 2027 invites original research on the evaluation, governance and responsible deployment of artificial intelligence and data-analytical systems. Methodological contributions, empirical studies, replications, negative results and evidence-grounded position papers are all in scope. Every submission receives at least three double-anonymous reviews, a seven-day rebuttal window and a meta-review by the track chair.

01 / TRACKS

Tracks

  • A

    Measurement & Evaluation

    Benchmarks, construct validity, calibration, audit methodology and the statistics of model comparison. Chair: Dr. Ines Marchetti, Politecnico di Milano.

  • B

    Data, Provenance & Privacy

    Corpus documentation, licensing and consent, differential privacy, synthetic data and data-quality analytics. Chair: Dr. Tomás Ferreira, INESC-TEC Porto.

  • C

    Governance & Human Oversight

    Regulation, contestability, institutional deployment studies and the sociotechnical evaluation of oversight. Chair: Dr. Nadia Haddad, KU Leuven.

01 / TOPICS

Topics

  • Auditing and external evaluation of deployed models
  • Causal inference for accountable decision systems
  • Uncertainty quantification and calibration
  • Data provenance, licensing and consent metadata
  • Fairness under distribution shift and feedback
  • Privacy-preserving analytics and synthetic data
  • Interpretability that survives peer scrutiny
  • Documentation standards for corpora and models
  • Human oversight and contestability of decisions
  • Post-deployment monitoring and drift detection
  • Reproducibility and research-artefact evaluation
  • Benchmark validity and construct measurement
  • Governance of analytics in the public sector
  • Environmental accounting for large-scale training
  • Evaluation of retrieval and agentic pipelines
  • Statistical methods for algorithmic redress

01 / CATEGORIES

Categories

Category Length Review Published in
Full paper 10 pages 3 reviews + rebuttal Proceedings
Short paper 6 pages 3 reviews Proceedings
Doctoral consortium 4 pages + supervisor letter 2 reviews + mentor match Companion volume
Replication / negative result 8 pages 3 reviews + artefact check Proceedings
Poster & demo 2-page extended abstract 2 reviews Companion volume
Workshop proposal 3 pages Chairs' review Not published