LIBLICENSE-L Archives

LibLicense-L Discussion Forum

LIBLICENSE-L@LISTSERV.CRL.EDU

Options: Use Forum View

Use Monospaced Font
Show HTML Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Subject:
From:
LIBLICENSE <[log in to unmask]>
Reply To:
LibLicense-L Discussion Forum <[log in to unmask]>
Date:
Sun, 14 Jul 2019 15:55:33 -0400
Content-Type:
multipart/alternative
Parts/Attachments:
text/plain (867 bytes) , text/html (1877 bytes)
From: "Jim O'Donnell" <[log in to unmask]>
Date: Sun, 14 Jul 2019 12:32:39 -0700

In the 1980s, Don Swanson of the University of Chicago (
https://en.wikipedia.org/wiki/Don_R._Swanson) was a pioneer of advancing
science through literature review -- going back over the published
literature to see what had been missed.  Thought of him when I saw this:

https://www.vice.com/en_us/article/neagpb/ai-trained-on-old-scientific-papers-makes-discoveries-humans-missed

Enter text and data mining and artificial intelligence.  I particularly
like the part about looking at the literature pre-2009 to see if the method
would have predicted discoveries post-2009 and it seems to have done so.
This is relevant for the need to ensure reasonable TDM terms in the
licenses libraries sign with publishers.  We need their content for more
than traditional current *or* historic awareness.

Jim O'Donnell
ASU


ATOM RSS1 RSS2