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.

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. 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. 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. Partnerships

5. labs.jstor.org/shakespeare
UNDERSTANDING SHAKESPEARE
Pick a play. Click a line. Instantly see articles on JSTOR
that quote that line.

6. Multidisciplinarity

7. SUSTAINABILITY
Navigate an interdisciplinary terrain, with Topic
Pages and Influential Articles as road signs.
labs.jstor.org/sustainability

8. A MULTIDISCIPLINARY TEAM
Biz

9. Hypothesis-Driven Development

10. ITERATING, ITERATING, ITERATING, ITERATING, ITERA

11. Topic Modeling

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. 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. More Topic Modeling
+ Entity Recognition

15. www.jstor.org/analyze
TEXT ANALYZER
Use your own document to search for articles and books.

16. Even More Topic Modeling
+ Entity Recognition
+ Linked Open Data

17. THE NEW THING
No tagline yet. It’s new.
www.notliveyet.com

18. Thank you
Alex Humphreys
Director, JSTOR Labs
ITHAKA
labs.jstor.org
@abhumphreys
alex.humphreys@ithaka.org

19. APPENDIX
(OPEN IN CASE OF
NO INTERNET CONNECTION)