Year: 2026
Type: article
Abstract: The Accelerated Discovery Orchestrator (ado) is a Python package that addresses a recurring challenge in research software development: implementing common capabilities for design of experiments (DoE) and execution of related computational experiment campaigns.These cross-cutting capabilities span methodology (design-space specification, sampling, analysis), interface (CLI and configuration management), execution (parallel and scale-out), and data (sharing, provenance, and reuse).ado delivers these capabilities across domains through a lightweight plugin model, where integrating new components can be as simple as decorating a Python function.This is enabled by ado's core abstraction: the Discovery Space.Out-of-the-box, ado includes state-of-the-art optimization algorithms and predictive modeling tools, alongside experiments targeting foundation-model performance.Our aim is for ado to become a focal point for developing and consuming advanced capabilities for defining and executing experiment campaigns.
DOI: 10.21105/joss.10304
Authors: Michael A. Johnston, Alessandro Pomponio
Institutions: IBM (Ireland), IBM Research - Ireland
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
Funder: European Commission
OpenAlex ID: W4415183864
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