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The Digital Humanities have arrived at a moment when digital Big
Data is becoming more readily available, opening exciting new
avenues of inquiry but also new challenges. This pioneering book
describes and demonstrates the ways these data can be explored to
construct cultural heritage knowledge, for research and in teaching
and learning. It helps humanities scholars to grasp Big Data in
order to do their work, whether that means understanding the
underlying algorithms at work in search engines, or designing and
using their own tools to process large amounts of
information.Demonstrating what digital tools have to offer and also
what 'digital' does to how we understand the past, the authors
introduce the many different tools and developing approaches in Big
Data for historical and humanistic scholarship, show how to use
them, what to be wary of, and discuss the kinds of questions and
new perspectives this new macroscopic perspective opens up.
Authored 'live' online with ongoing feedback from the wider digital
history community, Exploring Big Historical Data breaks new ground
and sets the direction for the conversation into the future. It
represents the current state-of-the-art thinking in the field and
exemplifies the way that digital work can enhance public engagement
in the humanities.Exploring Big Historical Data should be the go-to
resource for undergraduate and graduate students confronted by a
vast corpus of data, and researchers encountering these methods for
the first time. It will also offer a helping hand to the interested
individual seeking to make sense of genealogical data or digitized
newspapers, and even the local historical society who are trying to
see the value in digitizing their holdings.The companion website to
Exploring Big Historical Data can be found at
www.themacroscope.org/. On this site you will find code, a
discussion forum, essays, and datafiles that accompany this book.
The Digital Humanities have arrived at a moment when digital Big
Data is becoming more readily available, opening exciting new
avenues of inquiry but also new challenges. This pioneering book
describes and demonstrates the ways these data can be explored to
construct cultural heritage knowledge, for research and in teaching
and learning. It helps humanities scholars to grasp Big Data in
order to do their work, whether that means understanding the
underlying algorithms at work in search engines, or designing and
using their own tools to process large amounts of
information.Demonstrating what digital tools have to offer and also
what 'digital' does to how we understand the past, the authors
introduce the many different tools and developing approaches in Big
Data for historical and humanistic scholarship, show how to use
them, what to be wary of, and discuss the kinds of questions and
new perspectives this new macroscopic perspective opens up.
Authored 'live' online with ongoing feedback from the wider digital
history community, Exploring Big Historical Data breaks new ground
and sets the direction for the conversation into the future. It
represents the current state-of-the-art thinking in the field and
exemplifies the way that digital work can enhance public engagement
in the humanities.Exploring Big Historical Data should be the go-to
resource for undergraduate and graduate students confronted by a
vast corpus of data, and researchers encountering these methods for
the first time. It will also offer a helping hand to the interested
individual seeking to make sense of genealogical data or digitized
newspapers, and even the local historical society who are trying to
see the value in digitizing their holdings.The companion website to
Exploring Big Historical Data can be found at
www.themacroscope.org/. On this site you will find code, a
discussion forum, essays, and datafiles that accompany this book.
People buy and sell human remains online. Most of this trade these
days is over social media. In a study of this ‘bone trade’, how
it works, and why it matters, the authors review and use a variety
of methods drawn from the digital humanities to analyze the sheer
volume of social media posts in search of answers to questions
regarding this online bone trade. The answers speak to how the 21st
century understands and constructs ‘heritage’ more generally:
each person their own expert, yet seeking community and validation,
and like the major encyclopedic museums, built on a kind of digital
neocolonialist othering of the dead.
The use of computation in archaeology is a kind of magic, a way of
heightening the archaeological imagination. Agent-based modelling
allows archaeologists to test the 'just-so' stories they tell about
the past. It requires a formalization of the story so that it can
be represented as a simulation; researchers are then able to
explore the unintended consequences or emergent outcomes of stories
about the past. Agent-based models are one end of a spectrum that,
at the opposite side, ends with video games. This volume explores
this spectrum in the context of Roman archaeology, addressing the
strengths, weaknesses, and opportunities of a formalized approach
to computation and archaeogaming.
Every day, more and more kinds of historical data become available,
opening exciting new avenues of inquiry but also new challenges.
This updated and expanded book describes and demonstrates the ways
these data can be explored to construct cultural heritage
knowledge, for research and in teaching and learning. It helps
humanities scholars to grasp Big Data in order to do their work,
whether that means understanding the underlying algorithms at work
in search engines or designing and using their own tools to process
large amounts of information.Demonstrating what digital tools have
to offer and also what 'digital' does to how we understand the
past, the authors introduce the many different tools and developing
approaches in Big Data for historical and humanistic scholarship,
show how to use them, what to be wary of, and discuss the kinds of
questions and new perspectives this new macroscopic perspective
opens up. Originally authored 'live' online with ongoing feedback
from the wider digital history community, Exploring Big Historical
Data breaks new ground and sets the direction for the conversation
into the future.Exploring Big Historical Data should be the go-to
resource for undergraduate and graduate students confronted by a
vast corpus of data, and researchers encountering these methods for
the first time. It will also offer a helping hand to the interested
individual seeking to make sense of genealogical data or digitized
newspapers, and even the local historical society who are trying to
see the value in digitizing their holdings.
The use of computation in archaeology is a kind of magic, a way of
heightening the archaeological imagination. Agent-based modelling
allows archaeologists to test the 'just-so' stories they tell about
the past. It requires a formalization of the story so that it can
be represented as a simulation; researchers are then able to
explore the unintended consequences or emergent outcomes of stories
about the past. Agent-based models are one end of a spectrum that,
at the opposite side, ends with video games. This volume explores
this spectrum in the context of Roman archaeology, addressing the
strengths, weaknesses, and opportunities of a formalized approach
to computation and archaeogaming.
Every day, more and more kinds of historical data become available,
opening exciting new avenues of inquiry but also new challenges.
This updated and expanded book describes and demonstrates the ways
these data can be explored to construct cultural heritage
knowledge, for research and in teaching and learning. It helps
humanities scholars to grasp Big Data in order to do their work,
whether that means understanding the underlying algorithms at work
in search engines or designing and using their own tools to process
large amounts of information.Demonstrating what digital tools have
to offer and also what 'digital' does to how we understand the
past, the authors introduce the many different tools and developing
approaches in Big Data for historical and humanistic scholarship,
show how to use them, what to be wary of, and discuss the kinds of
questions and new perspectives this new macroscopic perspective
opens up. Originally authored 'live' online with ongoing feedback
from the wider digital history community, Exploring Big Historical
Data breaks new ground and sets the direction for the conversation
into the future.Exploring Big Historical Data should be the go-to
resource for undergraduate and graduate students confronted by a
vast corpus of data, and researchers encountering these methods for
the first time. It will also offer a helping hand to the interested
individual seeking to make sense of genealogical data or digitized
newspapers, and even the local historical society who are trying to
see the value in digitizing their holdings.
The growth of the city of Rome was dependent on its ability to
exploit successfully the human and natural resources of its
hinterland. Although this eventually expanded to incorporate the
entire Mediterranean seaboard, the resources of the Tiber Valley
originally nourished the city and continued to do so despite the
growth in imports from elswhere in the Roman world. This study
examines the way the Tiber Valley functioned in terms of its
economic and social geography, as evidenced by the organisation and
dynamics of the brick industry.
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