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How JSTOR Labs Applies (Some) Methods & Tools from Digital Scholarship - SSP Philadelphia

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In this talk, part of a panel entitled "Innovative Research and Creative Output: From Ideas to Impact," I describe the affinities between JSTOR Labs and digital scholarship. With examples from JSTOR Labs projects, I explore how we have used distant-reading and natural language processing tools such as topic modeling. I also discuss how we speak to and benefit from multidisciplinarity.

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How JSTOR Labs Applies (Some) Methods & Tools from Digital Scholarship - SSP Philadelphia

  1. 1. HOW JSTOR LABS APPLIES (SOME) METHODS & TOOLS FROM DIGITAL SCHOLARSHIP SSP Philadelphia Innovative Research & Creative Output: From Ideas to Impact Oct 30, 2017 @abhumphreys Alex Humphreys, JSTOR Labs
  2. 2. ITHAKA is a not-for-profit organization that helps the academic community use digital technologies to preserve the scholarly record and to advance research and teaching in sustainable ways. JSTOR is a not-for-profit digital library of academic journals, books, and primary sources. Ithaka S+R is a not-for-profit research and consulting service that helps academic, cultural, and publishing communities thrive in the digital environment. Portico is a not-for-profit preservation service for digital publications, including electronic journals, books, and historical collections. Artstor provides 2+ million high-quality images and digital asset management software to enhance scholarship and teaching.
  3. 3. JSTOR Labs works with partner publishers, libraries and labs to create tools for researchers, teachers and students that are immediately useful – and a little bit magical.
  4. 4. Partnerships
  5. 5. labs.jstor.org/shakespeare UNDERSTANDING SHAKESPEARE Pick a play. Click a line. Instantly see articles on JSTOR that quote that line.
  6. 6. Multidisciplinarity
  7. 7. SUSTAINABILITY Navigate an interdisciplinary terrain, with Topic Pages and Influential Articles as road signs. labs.jstor.org/sustainability
  8. 8. A MULTIDISCIPLINARY TEAM Biz
  9. 9. Hypothesis-Driven Development
  10. 10. ITERATING, ITERATING, ITERATING, ITERATING, ITERA
  11. 11. Topic Modeling
  12. 12. REIMAGINING THE MONOGRAPH Can we improve the experience and value of long-form scholarship? Aug-Sep: User Research Oct: Workshop Nov: Build Prototype Dec: Release Paper/Prototype
  13. 13. labs.jstor.org/topicgraph TOPICGRAPH Understand at a glance the topics covered in a book. Jump straight to pages about topics you’re researching.
  14. 14. More Topic Modeling + Entity Recognition
  15. 15. www.jstor.org/analyze TEXT ANALYZER Use your own document to search for articles and books.
  16. 16. Even More Topic Modeling + Entity Recognition + Linked Open Data
  17. 17. THE NEW THING No tagline yet. It’s new. www.notliveyet.com
  18. 18. Thank you Alex Humphreys Director, JSTOR Labs ITHAKA labs.jstor.org @abhumphreys alex.humphreys@ithaka.org
  19. 19. APPENDIX (OPEN IN CASE OF NO INTERNET CONNECTION)

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