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Fwd: Text & Data Mining Inquiry

  • This topic has 0 replies, 1 voice, and was last updated 1 year, 8 months ago by Matthew K. Gold.
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    • September 22, 2023 at 9:08 am #4845
      Matthew K. Gold
      Keymaster

      ———- Forwarded message ———
      From: Christian Howard-Sukhil <christian@authorsalliance.org>
      Date: Wed, Sep 20, 2023 at 1:17 PM
      Subject: Text & Data Mining Inquiry
      To: <nycdigitalhumanities@gmail.com>

      To whom it may concern,

      I thought the below request might be of interest to members of the New York
      City Digital Humanities Group. Would you be willing to circulate the below
      email to members of your listserv?

      Many thanks,
      Christian

      —

      Dear all,

      My name is Christian Howard-Sukhil, and I am the Text & Data Mining Legal
      Fellow at a non-profit organization called Authors Alliance
      <https://www.authorsalliance.org/&gt;. Authors Alliance has received a grant
      from the Mellon Foundation to learn about how academic researchers are
      using Text and Data Mining (TDM) in their research. TDM is known by several
      other names in the academy, including topic modeling, distant reading, text
      mining for Digital Humanities, and textual analysis and data mining. The
      project examines how academics engage in TDM for their research as well as
      difficulties (especially legal issues) that such researchers face in
      conducting their studies.

      As part of these efforts, we are seeking information from TDM practitioners
      and support staff to help us understand how they engage in TDM, barriers
      that they have faced in conducting such research, and ways in which their
      TDM research could be improved.

      If you are an academic researcher or support staff engaged in TDM and you
      are willing to have a 30-45 minute Zoom conversation to discuss your
      experiences, please book a time to chat here
      <https://chsukhil.youcanbook.me/&gt;. Alternatively, feel free to email me
      directly at christian@authorsalliance.org to schedule a meeting. We are
      happy to keep your information confidential if preferred.

      Your willingness to share your experiences could materially affect future
      laws surrounding Text and Data Mining for academic researchers, so any
      information that you are willing to share would be greatly appreciated.

      Please also feel free to forward this email to other scholars you may know
      who are engaged in TDM.

      Please don’t hesitate to reach out if you have any questions or would like
      additional information.

      Thank you,

      Christian

      —
      *Christian Howard-Sukhil*, PhD
      *she/her/hers*
      Text & Data Mining Legal Fellow, Authors Alliance
      J.D. Candidate, UC Berkeley, School of Law
      E: christian@authorsalliance.org

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