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Humanist Discussion Group, Vol. 33, No. 640.
Department of Digital Humanities, King's College London
Hosted by King's Digital Lab
www.dhhumanist.org
Submit to: humanist@dhhumanist.org
[1] From: heather froehlich
Subject: CFP: Digital Forum at the British Association for Victorian Studies (summer 2020) (49)
[2] From: Fabio Bellavia
Subject: Call for Papers - ICPR2020 workshop on "Fine Art Pattern Extraction and Recognition" (FAPER2020) (114)
[3] From: Daniel Wilson
Subject: Humanist Posting / Turing event (57)
--[1]------------------------------------------------------------------------
Date: 2020-02-28 20:42:51+00:00
From: heather froehlich
Subject: CFP: Digital Forum at the British Association for Victorian Studies (summer 2020)
Dear all,
The British Association of Victorian Studies invites proposals for the
Digital Forum at their 2020 conference. Full details are available
below, and at https://bavs2020.com/digital-forum/
(https://bavs2020.com/digital-forum/):
Digital resources and methods are quickly becoming indispensable in
Victorian studies - and many other fields. Whether you consider yourself
part of the digital humanities or not, you are likely to have used a
digital resource / tool in some form or other. This might be an
electronic catalogue or display interface of periodicals, newspapers,
letters or novels. It might be a digital map of historical or fictional
events. Or you might be at the forefront of the digital development,
leading the creation of new types of visualisations or interactive
resources. The fact is that this is a time of immense change in many
humanities disciplines with technological innovation providing both
opportunities and challenges. In the digital world in which we conduct
our research, it is vital that we actively engage with both
opportunities and challenges - and the BAVS 2020 Digital Forum offers a
platform for this.
There will be a roundtable with short presentations, followed by a
session where you can present resources and tools that you are
developing and / or learn about digital projects by others.
We invite you to join us for an insightful event!
To submit a proposal, please use this form:
https://docs.google.com/forms/d/e/1FAIpQLSdf7VgOSSRCMEwTY7DZ5Y9hUndB08XlJIN9bM0e
OdgNpZ6c-A/viewform.
Deadline for submissions: 17 March (please note that we have extended
the original deadline so as not to conflict with the UCU's Industrial
Action).
Contact curator Professor Michaela Mahlberg or the conference organisers
with any questions at bavs2020@contacts.bham.ac.uk .
Yours,
Heather Froehlich
--
Dr Heather Froehlich
w // http://hfroehli.ch
(http://hfroehli.ch/)"
t // @heatherfro
--[2]------------------------------------------------------------------------
Date: 2020-02-28 12:53:14+00:00
From: Fabio Bellavia
Subject: Call for Papers - ICPR2020 workshop on "Fine Art Pattern Extraction and Recognition" (FAPER2020)
Call for Papers -- FAPER2020
International Workshop on Fine Art Pattern Extraction and Recognition
F A P E R 2 0 2 0
workshop in conjunction with the
25th International Conference on Pattern Recognition (ICPR2020)
Milan, Italy, September 13-18, 2020
>>> https://sites.google.com/view/faper-workshop/ <<<
*** Submission deadline: June 15, 2020 ***
- Submission link: https://easychair.org/conferences/?conf=faper2020 -
_______________________________________________________________________
=== Aim & Scope ===
Cultural heritage, in particular fine art, has invaluable importance for
the cultural, historic, and economic growth of our societies. Fine art
is developed primarily for aesthetic purposes, and it is mainly
concerned with paintings, sculptures, and architectures. In the last few
years, due to technology improvements and drastically declining costs, a
large-scale digitization effort has been made, leading to a growing
availability of large digitized fine art collections. This availability,
along with the recent advancements in pattern recognition and computer
vision, has opened new opportunities for computer science researchers to
assist the art community with automatic tools to analyse and further
understand fine arts. Among the other benefits, a deeper understanding
of fine arts has the potential to make them more accessible to a wider
population, both in terms of fruition and creation, thus supporting the
spread of culture.
The ability to recognize meaningful patterns in fine art inherently
falls within the domain of human perception, and this perception can be
extremely hard to conceptualize. Thus, visual-related features, such as
those automatically learned by deep learning models, can be the key to
tackling problems of extracting useful representations from low-level
colour and texture features. These representations can assist in various
art-related tasks, ranging from object detection in paintings to
artistic style categorization, useful for examples in museum and art
gallery websites.
The aim of the workshop is to provide an international forum for those
who wish to present advancements in the state of the art, innovative
research, ongoing projects, and academic and industrial reports on the
application of visual pattern extraction and recognition for the better
understanding and fruition of fine arts. The workshop solicits
contributions from diverse areas such as pattern recognition, computer
vision, artificial intelligence and image processing.
=== Topics ===
Topics of interest include, but are not limited to:
- Application of machine learning and deep learning to cultural heritage
- Computer vision and multimedia data
- Generative adversarial networks for artistic data
- Augmented and virtual reality for cultural heritage
- 3D reconstruction of historical artifacts
- Historical document analysis
- Content-based retrieval in the art domain
- Speech, audio and music analysis from historical archives
- Digitally enriched museum visits
- Smart interactive experiences in cultural sites
- Projects, products or prototypes for cultural heritage restoration,
preservation and fruition
=== Submission guidelines ===
Submissions must be formatted in accordance with the Springer's Computer
Science Proceedings guidelines. The following paper categories are welcome:
- Full papers (12-15 pages, including references)
- Short papers (6-8 pages, including references)
Accepted manuscripts will be included in the ICPR 2020 Workshop
Proceedings Springer volume. Once accepted, at least one author is
expected to attend the event and orally present the paper. Authors of
selected papers will be invited to extend and improve their
contributions for a Special Issue of the Journal of Imaging (MDPI).
=== Important Dates ===
- June 15th 2020 - workshop submission deadline
- July 15th 2020 - author notification
- July 30th 2020 - camera-ready submission
- Aug. 15th 2020 - finalized workshop program
- Sept. 18th 2020 - workshop day
=== Organizing committee ===
Gennaro Vessio (University of Bari, Italy)
Giovanna Castellano (University of Bari, Italy)
Fabio Bellavia (University of Palermo, Italy)
=== Venue ===
The workshop will be hosted at Milan Congress Center (Mi.Co.), which is
located in Piazzale Carlo Magno 1, Milan, Italy.
_________________________________________________________
Contacts: gennaro.vessio@uniba.it
giovanna.castellano@uniba.it
fabio.bellavia@unipa.it
Workshop: https://sites.google.com/view/faper-workshop/
ICPR2020: https://www.micc.unifi.it/icpr2020/
--[3]------------------------------------------------------------------------
Date: 2020-02-28 12:32:16+00:00
From: Daniel Wilson
Subject: Humanist Posting / Turing event
List members may be interested in the following event at the Alan Turing
Institute. Registration at Eventbrite.
https://www.eventbrite.co.uk/e/data-driven-history-with-jo-guldi-
tickets-94838387169
___
Data-Driven History: Text Mining the History of Property Law in the
Debates of Britain's Parliament, 1806-1911
This talk offers a case-study of a multi-level, AI-driven research on a
major problem in history: the story of property law in the modern world.
It applies topic modeling, n-gram analysis, skip grams, phrase
detection, sentiment analysis, guided vocabularies, geoparsing, and
dynamic topic models to understand the changing valences of how
contemporaries discussed the ownership and inhabitation of property over
time. On the basis of these quantitative approaches, the project derives
a new history of property, challenging conservative accounts of the
history of property law that describe a set of principles unchanged
since Locke, much like Newton's discovery of gravity.
Please note that refreshments will not be served, however there is a
cafe within the British Library where beverages can be purchased ahead
of the talk.
About the speaker
Jo Guldi (https://www.joguldi.com/) is one of the foremost
practitioners of digital history. In 2014, she co-authored The History
Manifesto, an open-access pamphlet on using text-mining to look at
history over long time periods. She is also PI of The Unaffordable
World, a $1 million NSF grant to apply NLP to investigate long-term
questions of property in the parliamentary debates of Great Britain.
Most recently, she has authored several papers on the measurement of
time, identifying discontinuities in the historical record, nesting
topic models, and the principle of "Critical Search," a model of
humanities-style critical thinking applied to questions of big data.
Schedule:
3pm Presentation
4pm Q&A
4.20pm Coffee/Tea & Networking
5pm End
This event is part of The Alan Turing Institute's Living With Machines
project (funded by AHRC)
Tweet us @LivingwMachines
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