• National Academies Kicks Off Open Science Study, AIP, July 27, 2017.


  • Why scientists must share their research code, Nature, Sept 13, 2016.


  • Honored to be appointed an affiliate scholar with Stanford Law School's Center for Internet and Society, Jan 6, 2015.


  • Le Monde calling for open algorithms (in French): Ouvrir les algorithmes pour comprendre et améliorer les traitements dont nous sommes objet, Dec 26 2014.

  • My co-edited book Privacy, Big Data, and the Public Good reviewed by Science, The big data debate," Nov 2014.

  • Interview by Dave Levine of Hearsay Culture, on Privacy, Big Data, and the Public Good reviewed by Science, Show # 218 - Julia Lane and Prof. Victoria Stodden, co-editors of Privacy, Big Data, and the Public Good: Frameworks for Engagement, Oct 2014.

  • My co-edited book Implementing Reproducible Research reviewed by the Journal of Statistical Software, link and paper, Oct 2014.

  • A Deeper Web for Science, Computation Institute & The University of Chicago, May 2014.

  • My answer to the Edge Annual Question: "Reproducibility," January 2014.


  • A piece in The Record, Columbia's newspaper: "A Statistician Intent on Sharing Research To Promote Better Science," Dec 2013.

  • Quoted in The Scientist: "Retracing Steps," Nov 2013.

  • I was interviewed by David Levine about my research on software patents and science in his latest Hearsay Culture podcast (download mp3 directly here), Oct 2013.

  • In The Economist article, " Unreliable research: Trouble at the lab," Oct 19, 2013.

  • Quoted in American Physical Society News, Open Access Mandate Will Include Raw Data, Oct 2013.

  • Quoted in Stanford Responds to Looming Open Access Directive, July 16, 2013.

  • Press Release from the Congressional Committee on Science, Space, and Technology, March 5, 2013. Subcommittee Discusses Benefits of Open Access to Research Data and Challenges in Implementation.
    Dr. Victoria Stodden described the broad value open data has in pushing American innovation and competitiveness. "Making research data and software conveniently available also has valuable corollary effects beyond validating the original associated published results. Other researchers can use them for new research, linking datasets and augmenting results in other areas, or applying the software and methods to new research applications. These powerful benefits will accelerate scientific discovery. Benefits can also accrue to private industry. Again, data and software availability permit business to apply these methods to their own research problems, link with their own datasets, and accelerate innovation and economic growth. American competitiveness can only be increased as we increase the integrity of our scholarly record, and as we make access to scientific innovations, data, and their implementation broadly available to other researchers and to industry."

  • My answer to the Edge Annual Question "What should we be worried about?": "Where did you get that fact?," January, 2013.


  • in The Atlantic: "Buggy Software: Achilles Heel of Big-Data-Powered Science?," Dec 7, 2012.

  • quoted in International Science Grid This Week: "How can computational science surpass the software error plateau?," Nov 28, 2012.

  • quoted in the UCLA Daily Bruin: "Data analysis competition Datafest combines statistics with speed," May 6, 2012.

  • The Edge Annual Question Center: What is your favorite deep, elegant, or beautiful explanation? "Fact, Fiction, and Our Probabilistic World," January, 2012.

  • "Scientists, Share Secrets or Lose Funding," with Sam Arbesman, Bloomberg View, Jan 10, 2012.


  • quoted in Science Magazine: "To Replicate or Not to Replicate?," Dec 2, 2011.

  • Interviewed on Open Science by the Digital Curation Center in advance of their upcoming conference: "IDCC11 Preview: An interview with Victoria Stodden | Digital Curation Centre," Nov 25, 2011.

  • My talk on "Truth" and the 2009 Yale Roundtable recommendations mentioned: The Whole and Nothing But, Nov 15 2011.

  • Interview by Simply Statistics blog: Victoria Stodden, Nov 4 2011.

  • The Times Higher Education: my work on citizen science is mentioned: "Powered by the people," Oct 11, 2011.

  • Open Knowledge Foundation, discussing my Open Science Summit keynote: OKFN at Open Science Summit 2011 #oss2011 - Day 1, Oct 27, 2011.

  • The Times Higher Education: my graduate course on reproducible research is mentioned: "Systems Failure," May 5, 2011.

  • BioMed Central Blog: "Open Research Computation – reproducible computational research," Feb 28, 2011.

  • The Edge Annual Question Center: "Phase Transitions And 'Scale Transitions:' Conceptualizing Unexpected Changes Due To Scale," January, 2011.


  • The 2009 Yale Roundtable recommendations mentioned in Nature News: "Computational science: ...Error", Oct 13 2010.

  • Letter to the Editor, Cancer Letter,
    IOM Study A Much-Needed Step For "Omic" Research:
    To the Editor:
    The study of "omics" is a laudable and much-need step on the part of the IOM (The Cancer Letter, Oct. 22). I hope the committee chooses to include open verification of computational results in its proposed implementation of analytical validation.
    The majority of published computational research today has not been reproduced nor independently verified--in part because this is essentially impossible without access to the underlying data and code.
    Particularly when such research is to be the basis for clinical trials, it is important for the underlying methodologies that produced the results to be made openly available in sufficient detail to permit replication of the results. The consequences of not doing so can be dire, as we have just seen with the attempts to replicate the published computational results that engendered the now-suspended cancer clinical trials at Duke University.
    What is needed is the establishment of open repositories for associated data and code (if these repositories do not already exist) and version labeling that ties together specific instances of code, data, and results.
    This extra step of repository creation will permit the evaluation of the committee's recommended criteria for predictive models intended to form the basis for clinical trials, as well as the dissemination of the methodologies and data required for verification of the published results by the community.

  • Seed Magazine blog, Science is Culture: Reproducible Research. Aug 31, 2010.

  • Reason Magazine, "Scenes from the Open Science Summit", July 30, 2010.

  • Singularity Hub, "Open Science Summit 2010 -- Thursday Review", July 30, 2010.

  • A Thinker to Watch: Victoria Stodden and the Future of Scientific Research by Hope Leman of the Pacific Northwest Chapter of the Medical Library Association, April 15, 2010.

  • Guest post with Chris Wiggins, "Data and Code Sharing Roundtable," on mloss.org, the maching learning open source software blog, January 26, 2010.

  • Quoted in "Keeping Computers from Ending Science's Reproducibility", Ars Technica, January 22, 2010.


  • ITConversations.org: Interviews with Innovators, "Reproducibility of Computational Science,"
  • September 30, 2009.
    Blurb: "If you're a writer, a musician, or an artist, you can use Creative Commons licenses to share your digital works. But how can scientists license their work for sharing? In this conversation, Victoria Stodden -- a fellow with Science Commons -- explains to host Jon Udell why scientific output is different and how Science Commons aims to help scientists share it freely."
    Download mp3.

  • I gave a talk at the 3rd IEEE/ACM International Conference on Information and Communication Technologies and Development, in Doha, Qatar, in April and appeared in the Qatar Tribune.