Automated Experimentation


Editors-in-Chief

  • Dietlind Gerloff, UC Santa Cruz
  • Siu-wai Leung, University of Macau
  • David Robertson, University of Edinburgh

Articles

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Aims & scope


Automated Experimentation is an open access journal that encompasses high-quality research on all aspects of the automation of clusters of experiments for high throughput, particularly (but not exclusively) in the fields of biomedicine and biomedical informatics.

Automated Experimentation will cease to be published by BioMed Central as of 1st February, 2012. BioMed Central will continue to host an archive of all articles previously published in the journal and all articles published in Automated Experimentation during its time with BioMed Central will remain fully searchable via the BioMed Central website.

From the Editors

With deep theoretical roots in, massive informatics tools for, and visionary goals of scientific research, Automated Experimentation (AE) or biomedical sciences has been emerging in the latest and next generation biomedical informatics. By automating non-creative research processes, AE is generating and testing exhaustive data. By designing creative research processes, AE is hypothesizing and verifying new theories. AE does provide exciting models, cycles, workflows, platforms, and paradigms for scientific discoveries and knowledge sharing through the distributed networks of machines and people. Why do we limit ourselves in doing uninteresting research routines? Why not break new ground for AE and expand the horizons of science? Together we are making and sharing new knowledge in a new way - Automated Experimentation.

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  • PubMed Central
  • Scopus

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ISSN: 1759-4499