luncheon address for the 2013 Underhill Graduate Student Colloquium at Carleton University

1. Becoming a Digital Humanist
Shawn Graham, Carleton University,
@electricarchaeo
http://wallpaperswa.com/Art_Design/Abstract/abstract_fractals_circles_1920x1080_wallpape
r_1294/download_1024x768

3. Excavation of the amphitheatre, Forum Novum, ca 1999.
British Museum.
Prima Porta Augustus, appearing for some reason on this
website: http://lazio.italiaguida.it/cmsx.asp?IDPg=17

4.  Of course, google has the
wrong Shawn Graham
listed for my book.

5. (turns out, there’s
even a song about
living out of a
suitcase,
http://www.british-
caledonian.com/Mike
_Hancock.html)

6.  What Teaching High School Teaches You

8.  Postdoc in Roman Archaeology, U Manitoba
 ‘We don’t know what you’re doing….
but it sounds cool. So let’s see what happens next!’
 Key conferences lead to key moments
 Brock – game based learning
 RWU – 3 person band, established our own liberal arts
college
 NCC – heritage inventory of Gatineau Park
 It’s possible to eat, if you put enough things together

9.  1st Digital Humanities Workshop
 Turns out, I was a digital humanist
 Review of my project by senior figures in the field,
advice given, received!
 Leads to Electric Archaeology

10.  No definitions today. However, you might
enjoy Elijah Meeks’ presentation,
http://j.mp/WGPauN :

11.  Research blogging, data sharing, open access
Builds presence
Builds profile
Builds contacts
Opens your career
to serendipity

12.  Civ IV Teaching
 HeritageCrowd
 Things change very fast in the digital world.
Documenting what doesn’t work, and why, is
of enormous value.
 Digital work ought to be Public work.

13.  What will yours be?
http://cymonsgames.com/twisty/

14.  Stop being afraid. Put yourself out there.
 Blog.
 Tweet.
 Share drafts.
 Toss ideas out there.
 Fail gloriously, Fail in public.

15.  Let’s do some data mining and find out.

16.  (but you should also google alt-ac jobs too)

19.  (explore the corpus for yourself here: http://j.mp/WsJWbm )

20.  Use network analysis to identify the words doing
the heavy lifting
 Extract all pairs of words, and turn into a network
 Fortunately, this is what computers are made for.
 Look for patterns of similar linkages (ie, identify
subnetworks)
 Look for words that connect the entire corpus
together (betweenness centrality)

21.  Three major groups emerge.
 Group 1, with words with highest betweenness scores
CSS MODS (Netadata Object Description Schema)
PHP XHTML
Digital University Libraries
Ruby CLIR (Council on Library and Information
METS (Metadata encoding and transmission Resources)
standard) University of Alberta
United States North America
Python Drupal
MLS (Master of Library Science) XML
New York MARC
MySQL Duke University

22. Human Resources
London Department
UK Computer Science
CV BCE
Head of School
Dublin Faculty of Humanities
Europe European
University of Amsterdam
Ireland MA
ICT Italy
Department of Digital
Humanities
Department of
History

23. CRC (Canada Research Canadian
Chair) Quebec
ETCL (Electronic Textual Cultures
Canada Laboratory, U Victoria)
Waterloo Montreal
TEI (Text Encoding Concordia
Initiative) University of Waterloo
SSHRC DHSI (Digital Humanities Summer Institute
Stratford
Victoria Faculty of Arts
Canada Research Chair Stratford Campus
Skype
Digital Humanities
Summer Institute
University of Victoria

24.  Technique decomposes each advertisement
into a series of 10 bins of constituent words,
based on a Bayesian probability
 Ie, it imagines that if all you had were 10 bins
of words, you could write the first
advertisement with 40% bin 1, 23 % bin 2, 12 %
bin 3, and so on.
 Thus, each bin represents the constituent
‘topics’ or ‘discourses’ .

25. .
technology learning programs communication education students design
based include technologies
2.
research media studies candidates information university professor faculty
candidate interdisciplinary
3.
research humanities college relevant work post candidate project
international successful
4.
digital library collections university management preservation archives
special knowledge standards
5.
humanities data year html postdoctoral social fellow visualization hastac
project
6.
digital libraries experience development services projects systems web
support data
7.
university digital research graduate teaching humanities program
department position english
8.
experience position work degree required information job years open
related
9.
applications history digital unregistered html converter department version
application total
10.
project skills version converter knowledge ability working html
unregistered including

28.  Get on Twitter.
 Follow DH’ers whose work intrigues you.
 Get in touch.
 Share often, share widely.
 Don’t be afraid to open the black box and look
inside.
 Learn a couple of techniques.
 Go to a THATCamp.

29. It’s a way of looking at the world, the tools we use to do that, and the
way those tools affect what we see.
So remember:
…but….