Print

Print


NONCONFIDENTIAL // EXTERNAL
I am interested! I could attend the Indiana area meeting.

Cheers,
Anna

----
Anna Oates
Scholarly Communication and Discovery Services Librarian
Research Department
Federal Reserve Bank of St. Louis 
(314) 444-4644

-----Original Message-----
From: Code for Libraries <[log in to unmask]> On Behalf Of Pikas, Christina K.
Sent: Friday, October 26, 2018 10:42 AM
To: [log in to unmask]
Subject: [External] Re: [CODE4LIB] natural language processing, text mining, and machine learning at the university of notre dame

I'm interested and would attend a DC area meeting. 
Christina

------
Christina K. Pikas, BS, MLS, PhD
Librarian
The Johns Hopkins University Applied Physics Laboratory
Baltimore: 443.778.4812
D.C.: 240.228.4812
[log in to unmask]



-----Original Message-----
From: Code for Libraries <[log in to unmask]> On Behalf Of Eric Lease Morgan
Sent: Friday, October 26, 2018 11:07 AM
To: [log in to unmask]
Subject: [CODE4LIB] natural language processing, text mining, and machine learning at the university of notre dame

The library here at the University of Notre Dame has been awarded a grant from the IMLS on the topic of natural language processing, text mining, and machine learning, and in the end we will be looking for possible partnerships with others who want to exploit these same technologies.

Here is a blurb describing our planning grant:

  Investigating the national need for library based topic modeling
  discovery systems [1]

  The University of Notre Dame is seeking an IMLS planning grant to
  convene a diverse community during the 2019 calendar year that
  will contribute to conceptualization of digital tools that
  support the creation and dissemination of cross-disciplinary
  research. The grant would enable us to conduct a series of
  workshops as venues for the collaboration of domain experts,
  librarians, and computer science specialists.

  The goals are to understand their unique current practices and to
  identify possibilities to use topic modeling and NLP to enhance
  or augment current library classification in order to meet
  current cross-disciplinary research needs. The target community
  includes small and large and public and academic libraries and
  institutions.

To accomplish our goals we will be hosting four regional, day-long meetings in Notre Dame, Palo Alto, New York City, and Washington, DC during the next six to nine months. Each meeting will be attended by: 1) content experts from any number of different domains (political science, economics, history, etc.), 2) computer scientists, 3) and librarians. The meetings will be a combination of show & tell, discussions, and hands-on activities. By the end of each meeting we hope to answer two questions. To what degree do you think things like NLP can be used to better facilitate cross-disciplinary research? And if so, then what set of prioritized features/functions do think are desirable?

We will then write the obligatory white paper, do our best to disseminate the results, and if successful, look for partners who would like to help create the desirable system.

Watch this space for further details, but if you think you might want to participate or have any suggestions, then please do not hesitate to drop me a line.

[1] a complete description of the grant is available from the IMLS - https://www.imls.gov/grants/awarded/lg-72-18-0221-18

--
Eric Lease Morgan
Digital Initiatives Librarian, Navari Family Center for Digital Scholarship Hesburgh Libraries

University of Notre Dame
250E Hesburgh Library
Notre Dame, IN 46556
o: 574-631-8604
e: [log in to unmask]
w: cds.library.nd.edu