December 12-13, 2024 - Hybrid workshop
A focused forum for Data Engineering, Computation and Trust, connecting applied research on verified data systems, reproducible analytics and accountable AI workflows.
Publication Track
Accepted papers are listed with article identifiers, abstracts, keywords, citation text and individual publication pages.
Editorial Flow
The submission page collects author metadata and exports a CSV packet for editorial review and recordkeeping.
Research Scope
DECaT centers on data reliability, computational auditability, evidence graphs and trustworthy analytics in applied settings.
DECaT 2024 invites research that makes computational systems easier to inspect, validate and reproduce. The workshop welcomes empirical studies, applied systems papers, benchmark reports, short position papers and practitioner case studies.
Primary topics include trustworthy data engineering, computational accountability, human-centered audit workflows, provenance modeling, data drift controls, secure analytics and reproducible decision support.
Proceedings Volume
The site includes proceedings pages and sample publication records that can be replaced with final accepted manuscripts before public deployment.
Open volumeDECaT-2024-01
Evaluation framework for checking pipeline integrity, risk controls and reproducibility.
DECaT-2024-02
Graph-based approach for linking data lineage, review notes and validation outcomes.