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What
is Humanities Data?
10:00
- 11:30 | Monday
15 April | Digital
Scholarship Centre
When
we talk about data,
we are often
referring to
quantitative
information gathered
in the sciences
through observation
and measurement. Yet
across the
humanities
disciplines,
datasets also play a
key role in enabling
researchers to
answer important
questions in their
fields. For
instance, we might
examine archival
metadata,
geographical data,
or population
records to
contextualise our
research. We might
also describe the
literary, artistic,
and historical
sources we study as
datasets themselves.
In this workshop, we
will examine the
types of data we
encounter in the
humanities,
particularly when
conducting digital
research. We will
also explore where
we might find
datasets, how we
might examine them,
and why we might
want to do so.
Whether you are new
to digital
humanities
scholarship or are
simply seeking to
enhance your data
literacy, this
workshop provides an
opportunity to
consider how
engaging with
diverse datasets
could enhance your
research.
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Workshop
on Epistemic
Network
Analysis
14:00
- 16:30 |
Tuesday 30
April | Digital
Scholarship
Centre
This
hands-on
workshop, run
by Professor
David
Williamson
Shaffer
(University of
Wisconsin-Madison) introduces
participants
to the
principles of
Quantitative
Ethnography
(QE), an
approach to
analyzing Big
Data that goes
beyond the old
dichotomy of
qualitative
and
quantitative
methods and
past simple
mixtures of
methods. The
workshop
focuses on
Epistemic
Network
Analysis
(ENA), a tool
for modeling
complex and
collaborative
thinking
within a QE
framework. ENA
models how
humans make
meaning of
events in the
world using in
large- and
small-scale
datasets on
many kinds,
including
logfiles,
transcripts of
structured and
semi-structured interviews, simulations, chat, email, and social media.
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Understanding
Learning in
the World
of
AI
16:00 - 17:30 |
Wednesday 1
May | Digital
Scholarship
Centre
Join
us for a
Project Deep
Dive run in
collaboration
with the
Edinburgh
Futures
Institute's
Centre for
Technomoral
Futures. ChatGPT and the
other new
advances in
artificial
intelligence
have the
potential to
change work,
education, and
even what it
means to
“think” in the
first place.
In this talk,
Professor
David Shaffer
looks at what
AI is (and
isn’t), its
impact on what
and how we
learn, and how
AI can change
what it means
to do
research.
David Williamson
Shaffer is the
Sears Bascom
Professor of
Learning
Analytics in
the Department
of Educational
Psychology, a
Data
Philosopher at
the Wisconsin
Center for
Education
Research, and
Director of
the Center for
Research on
Complex
Thinking at
the University
of
Wisconsin-Madison.
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PhD
& ECR
Social
18:00
- 20:00 |
Thursday 2
May | Inspace
Are
you a PhD
student or
Early Career
Researcher in
the College of
Arts
Humanities and
Social
Sciences? Are
you keen to
develop
relationships
and build
connections
with other
CAHSS
researchers?
Join us for
our PhD &
ECR Social!
The Centre for
Data, Culture
& Society
supports
data-driven
and applied
digital
research
across the
College. Since
our launch in
2019, we have
created an
environment in
which
data-driven
research can
grow and
thrive,
providing
opportunities
for
collaboration,
inspiration
and support in
the form of
events,
advice,
training and
resources. We
bring
researchers
together to
build networks
and create
connections. Join us for
some food and
a few drinks,
a chance to
meet other
PhDs and ECRs
in the CDCS
community and
to find out
how we can
support your
research.
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Silent
Disco:
Introduction
to Text
Analysis
14:00 - 16:00 |
Monday 22
April | Online
The
amount of
textual data
available to
us grows each
day,
comprising a
huge resource
which is
potentially of
tremendous
value. This
workshop will
introduce the
process of
extracting
meaningful
structured
data and
information
from text.
Participants will use
Python and
NLTK (Natural
Language
Toolkit) for
the retrieval
of basic
textual
information
such as:
- Word
frequencies
- Plots
of frequency
distributions
- Common
word pairs
- Part
of Speech
tagging
The
workshop will
take place via
Microsoft
Teams in a
‘Silent Disco’
format.
Participants
will work on
the tutorial
at their own
pace. The
facilitator
will be
available via
Teams Chat to
reply to any
questions that
arise during
the workshop,
and to help
with
installation,
troubleshooting or other issues.
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Spring Data/Culture
Workshop:
Search inside
maps with
MapReader
10:00
- 17:00 |
Tuesday 30
April -
Wednesday 1
May | The Alan
Turing
Institute,
London
This
hands-on
workshop will
introduce
attendees to
MapReader, a
tool for
searching the
visual content
of large map
collections
with computer
vision and
machine
learning
methods. This
workshop aims
to bring
together
historians and
others with an
interest in
using
digitised
historical map
collections as
primary
sources for
digitally-inflected
research. By
bringing
together peers
working in
this space,
the aim is to
learn about
and discuss
ways to
encourage open
research in
the humanities
through skill
development
and shared
digital
resources and
infrastructure. This event is part of a new pilot initiative at The Alan
Turing
Institute
supported by
the AHRC,
Data/Culture:
Building
sustainable
communities
around Arts
and Humanities
datasets and
software.
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Independent Accounts:
Stories of
Expertise and
Politics in
the New York
City Budget
since 1989
10:00
- 12:00 |
Monday 13 May
| High School
Yards, Hybrid
Join
the University
of Edinburgh
and the
University of
Glasgow for a
seminar by Dan
Bouk,
Professor of
History and
Chair of the
Department of
History,
Colgate
University.
He researches
bureaucracies,
quantification, and other modern things shrouded in cloaks of boringness
that structure
the experience
of being a
human in
society. His
latest book,
Democracy's
Data, was
among the New
York Times'
100 notable
books for
2022. His
research blog
is at
shroudedincloaksofboringness.com.
This event is
co-hosted/sponsored by Science Technology and Innovation Studies (STIS);
Institute for
the Study of
Science
Technology
and Innovation
(ISSTI);
Centre for
Science,
Knowledge and
Policy at
Edinburgh
(SKAPE); EFI
Critical Data
Studies
Research
Cluster;
University of
Glasgow
Economic and
Social
History.
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