Workshop for participants at the 2013 Faculty of Arts and Education HDR Summer School (Deakin University)

1. EVIDENTLY:
NEW HUMANITIES SCHOLARSHIP
Professor Deb Verhoeven
@bestqualitycrab
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2. ONE GOOD TURN…
Deserves another … and another … and …
• spatial turn • material turn
• linguistic turn • neuro-scientific turn
• performative turn • computational turn
• non-human turn • ecological turn
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3. THE METHODOLOGICAL TURN
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4. THE NEW HUMANITIES
• Digital humanities • Object-oriented humanities
• Spatial humanities • Economies of the humanities
• New materialism • Algorithmic humanities
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5. RESEARCH METHODOLOGY
workshop
1. Identify the first three steps you will take to find answers
to/explore your thesis problem/question?
2. Who will you talk to in order to get started with your research?
3. What types of evidence will you use to answer your question?
4. What resources will you need to answer your question?
5. What tools and techniques will you use (name at least three)?
6. How will you know when you have solved your problem?
7. What new information or knowledge will you have? What will be
different? Will anything have changed?
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6. DISSEMINATION AND IMPACT
workshop
1. How will you communicate your research results to
others?
2. How will this research contribute to the development
of your research track?
3. How does this research align with Deakin’s strategic
goals?
4. How will this research contribute to the your
professional and/or creative industries?
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7. METHODOLOGY?
• A systemic approach to solving a problem
• Incorporates the use of tools, techniques,
infrastructure
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8. HUMANITIES NETWORKED INFRASTRUCTURE
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9. NATIONAL E-RESEARCH
COLLABORATION TOOLS AND
RESOURCES (NECTAR)
• NeCTAR is a $47 million dollar, Australian Government
project, conducted as part of the Super Science
initiative and financed by the Education Investment
Fund. The University of Melbourne is the lead agent,
chosen by the Commonwealth Government.
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10. VIRTUAL LABORATORY PROGRAM
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11. VIRTUAL LABORATORY
Illustrations: Steven Hayes
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12. HUMANITIES INFRASTRUCTURE VIRTUAL
ENVIRONMENT (HIVE)
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19. THE HUNI VL WILL:
• Enable humanities researchers to work with cultural datasets more
efficiently and effectively, and on a larger scale than is presently possible;
• Encourage the systematic sharing of research data between humanities
researchers (including the cultural dataset curators themselves), the
community and cultural institutions;
• Encourage a higher level of cross-disciplinary and interdisciplinary
research, both within the humanities/creative arts and between the
humanities/creative arts and other disciplines, and the wider public;
• Support innovative methodologies such as network analysis, game theory
and ‘virtual history’ that rely on large-scale datasets; and
• Ensure that Australian cultural datasets and the research associated with
them become part of the emerging international Linked Open Data
environment.
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20. HUMANITIES RESEARCH?
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21. HUMANITIES RESEARCH LIFECYCLE
John Unsworth (2000) Scholarly Primitives: What methods do humanities researchers have
in common, and how might our tools reflect this? Kings College, London:
http://www3.isrl.illinois.edu/~unsworth/Kings.5-00/primitives.html
1. Discovering 5. Sampling
2. Annotating 6. Illustrating
3. Comparing 7. Representing
4. Referring
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22. SHORTER VERSION
University of Minnesota Libraries (2006) A multidimensional framework for academic
support: final report” Minneapolis: http://purl.umn.edu/5540
1. Discover
2. Gather
3. Create
4. Share
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23. HUNI FRAMEWORK
• Discovering (encounter, search and browse);
• Analysing (collecting, annotating, visualizing and mapping);
• Sharing (collaborating, publishing, citing and referencing).
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24. SERENDIPITY
The X-factor of humanities research
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25. ACCIDENTALLY (ON PURPOSE)
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26. UNDERSTANDING SERENDIPITY
Daniel Liestman, “Chance in the Midst of Design”, RQ 31 (Summer 1992)
Accident Sage
• Coincidence • Perseverance
• Prevenient grace • Altamirage
• Synchronicity • Sagacity
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27. ANYTHING ELSE?
Interdisciplinarity as a serendipity technique
Social networking and crowdsourcing
Databases
Ways of reading and writing
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28. GOOGLE SEARCH
Stephen Ramsay (2010) The hermeneutics of screwing around:
Or what do you do with a million books: http://lenz.unl.edu/
“The thing they manage to In the end you’re left with a
get right is, regrettably, the landscape in which the wheel ruts
one thing that is least likely of your roaming intellect are
to turn up something not increasingly deepened by habit,
already prescripted by your training, and preconception. Seek
existing network of and ye shall find. Unfortunately
associations. you won’t find much else.”
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29. David Ellis (1993), “Modeling the information-seeking patterns of academic researchers: A
grounded theory approach” Library Quarterly 63; 469-486
• Starting (using contacts) • Differentiating (using differences
• Chaining (following chains between sources to evaluate
of citations) quality)
• Browsing (semi-directed • Monitoring (following particular
searching) sources)
• Extracting (going through a
particular source)
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30. BERRYPICKING
Marcia J. Bates (1989), “The design of browsing and berrypicking
techniques for the online search interface”, Online Review 13
• Bit at a time retrieval • “each new piece of
• Differs from traditional model of information they encounter
search in that the question is gives them new ideas and
evolving and the search process is directions to follow and
also dynamic using a wide variety consequently a new conception
of search techniques and sources. of the query”
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31. RECURSIVE PROCESSES
Serendipity as a non-linear research technique
• Starting point is not often • Research is an exploratory,
a narrow question but a generative activity (not a
large and unwieldly topic summary of facts) in which
that is refined over repeated research objects are always
and evolving techniques
part of larger conversations
(i.e. need to adopt a rhetorical
disposition)
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32. CODE OF CONDUCT FOR SERENDIPITOUS
RESEARCH OPPORTUNITIES
King’s College, London
• This policy only applies to staff and PhD students • Please note that the researcher must sign up to
at King’s College London conducting research with the code of conduct before the unanticipated
human participants. The code of conduct is research opportunity has been encountered; it is
applicable to staff and PhD research only. not possible for researchers to use data gained
from an unanticipated research opportunity if
• Unanticipated research is defined as they were not signed up to the code of conduct
opportunities for gathering information which have prior to the encounter.
not been created by the researcher and which
could not have been reasonably anticipated by the • In addition to this it should be noted that any
researcher. This definition cannot be applied to new research opportunity involving human
research with vulnerable individuals or children, or participants that is generated as a result of an
to the use of prepared materials (such as unanticipated encounter will not be covered by
questionnaires), and it cannot be applied to the terms of the code of conduct, and as such
research which in any way falls under the remit of would need to go for formal ethical review as per
the NHS. the normal procedures.
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33. CHANCE FAVORS THE THE PREPARED MIND
Dans les champs de l'observation le hasard ne favorise que les esprits préparés.
In the fields of observation chance
favors only the prepared mind.
Louis Pasteur
Lecture, University of Lille
(7 December 1854)
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34. CHANCE FAVOURS THE CONNECTED MIND
HTTP://YOUTU.BE/NUGRZGDBPFU
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