About the Journal
Causality - Automation and Computer Engineering in Industry (caui3) is a bilingual, digitally distributed, indexed scientific journal. The journal specializes in publishing cutting-edge research in related transdisciplinary fields, including industrial automation, artificial intelligence, autonomous systems, control theory, sustainable and mechatronic systems, operations research, strategic management, technological entrepreneurship, and Education 4.0.
Causality subjects submitted manuscripts to a rigorous external evaluation process using the double-blind peer review method. Unconditional adherence to this methodological protocol ensures the objectivity, reliability, impartiality, and transparency of the editorial decision.
The editorial direction of Causality is supported by Editorial Puruhá through Supercias-Ecuador. ISSN: 3073-1518, DOI: 10.70929/caui3
Current Issue
Vol. 2 No. 2 (2026): Developments in Automation, Materials, and Contemporary Design
This issue of the journal “Causalidad” brings forth a collection of research studies that address the transformation of the productive sector, precision agriculture, and the preservation of cultural heritage from technical, scientific, and interdisciplinary perspectives. Through an approach that balances the development of digital technologies with the environmental management of resources, the selected papers present concrete advances in process automation, modeling, and advanced manufacturing, as well as in the assessment of sustainability in materials engineering.
We cordially invite you to review in detail, examine, and download the contributions in this issue, confident that their experimental evidence and methodologies will serve as valuable input for strengthening research and technology transfer.
Franklin Samaniego Riera, PhD.
Editor-in-Chief
Published:
2026-07-31
