Andrew Lee Hufton

About

I am supporter of the open science movement and a stronger believer that the outputs of publicly-funded research should be available to all. At the same time, openness must be achieved in a way that values quality and innovation, builds public trust and respects global diversity. I would like to think that the challenges we face in scholarly publishing have analogs in broader society, and that our efforts to make research publishing more equitable and open will have positive impacts beyond the scholarly sphere.

I currently work for Cell Press as the Editor-in-Chief of Patterns. Previously, I launched Scientific Data, an open-access, data-focused journal from Nature. I served as the Chief Editor of that journal until March 2021.

For parts of 2021 and 2022, I worked as the scientific coordinator for the WiLDSI project at the Leibniz-Institut DSMZ, which is helping give the scientific community a voice in consequential international negotiations related to the sharing of genetic data from biodiversity. I continue to participate as a member of the DSI Scientific Network.

I received my PhD from Stanford University in 2006, and did postdoctoral work at the Max Planck Institute for Molecular Genetics in Berlin. My research included topics in developmental genetics, computational biology and genome evolution.

Employment

Employment history is unavailable.

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (33)

• Don’t black box your research
  Patterns 2026 DOI: 10.1016/j.patter.2026.101663
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• Cite what you read, read what you cite
  Patterns 2025 DOI: 10.1016/j.patter.2025.101344
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• Open-source software for data science
  Patterns 2025 DOI: 10.1016/j.patter.2025.101324
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• Affirming our commitment to diversity, equity, and inclusion
  Patterns 2025 DOI: 10.1016/j.patter.2025.101204
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• How we measure our impact
  Patterns 2025 DOI: 10.1016/j.patter.2024.101152
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• Balancing innovation and integrity in peer review
  Patterns 2024 DOI: 10.1016/j.patter.2024.101061
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• From scraped to published
  Patterns 2024 DOI: 10.1016/j.patter.2024.100953
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• Looking forward to the new year
  Patterns 2024 DOI: 10.1016/j.patter.2023.100916
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• On the transparency of large AI models
  Patterns 2023 DOI: 10.1016/j.patter.2023.100797
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• Reproducibility in ecology and evolution: Minimum standards for data and code
  Ecology and Evolution 2023 DOI: 10.1002/ece3.9961
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• No artificial intelligence authors, for now
  Patterns 2023 DOI: 10.1016/j.patter.2023.100731
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• Staying the course
  Patterns 2023 DOI: 10.1016/j.patter.2023.100690
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• Checklist - Editorial Reference Handbook
  OSF 2023 DOI: 10.17605/osf.io/w3jg8
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• Flowchart - Editorial Reference Handbook
  OSF 2023 DOI: 10.17605/osf.io/knqzu
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• Global Action on Biodiversity May Hinge on Genetic Data Sharing Agreement
  Jacqueline Batley, Andrew L. Hufton, Guilherme Oliveira +1 more
  Advanced Genetics 2022 DOI: 10.1002/ggn2.202200031
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• Multilateral benefit-sharing from digital sequence information will support both science and biodiversity conservation
  Nature Communications 2022 DOI: 10.1038/s41467-022-28594-0
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• Multilateral benefit-sharing from digital sequence information will support both science and biodiversity conservation
  OpenAlex 2022 DOI: 10.60692/aqbew-zzv31
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• Multilateral benefit-sharing from digital sequence information will support both science and biodiversity conservation
  OpenAlex 2022 DOI: 10.60692/xx908-ca228
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• Open access: a technical assessment for the debate on benefit-sharing and digital sequence information
  2022 DOI: 10.5281/ZENODO.5838273
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• Compatible or Incompatible? DSI, Open Access and Benefit-sharing
  2021 DOI: 10.31235/osf.io/nw8g9
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