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UID:news326@dhlab.philhist.unibas.ch
DTSTAMP;TZID=Europe/Zurich:20191125T162611
DTSTART;TZID=Europe/Zurich:20191212T000000
SUMMARY:Doctoral Training School "Distant Reading - Tools and Methods"
DESCRIPTION:Distant reading\, driven by the development of digital technolo
 gy in the human sciences\, has emerged as one of the most prolific approac
 hes to literary texts. Maps\, graphics and trees\, in Moretti's (2005) wor
 ds\, allow us to reread famous works in a new way\, or to look at large am
 ounts of texts that have long been forgotten. However\, often\, approaches
  to distant reading disregard the acquisition of the data to be observed: 
 Where do they come from? How are they created?\\r\\nOur training school pr
 oposes to return to the crucial stage of data acquisition\, focusing on de
 tails of the production chain of literary data. During the two-day course\
 , we will start with OCR (optical character recognition)\, which makes it 
 possible to transform an image into machine-readable text\, addressing the
  difficulties introduced by the variation of graphic systems or the materi
 ality of old artifacts. The second - decisive - step is the encoding in XM
 L-TEI\, which transforms the text into a usable database and allows to add
  more information to the text (e.g.\, author\, gender\, period) for ensuin
 g analysis. The third and final step is the analysis with R\, which allows
  hypotheses to be tested and patterns to be explored by analysing and visu
 alising data.\\r\\nThis course is part of a collective work carried out wi
 thin the European COST "Distant reading" project of which the organizers a
 re the Swiss representatives.\\r\\nWith a strong emphasis on practical exp
 erience\, this training school is geared towards building the framework fo
 r a first multilingual Swiss literary corpus (French\, Italian and German)
 . Tasks participating in its construction during the training school will 
 provide an opportunity to discuss pertainent issues.\\r\\nThe working lang
 uage of the training school is English\, knowledge of at least one of the 
 three languages of the literary data (French\, Italian\, German) is also r
 equired.\\r\\nRegistration process: Target group of the training school ar
 e doctoral students affiliated with the universities of Basel\, Bern\, Fri
 bourg\, Geneva\, Neuchâtel and Lausanne as well as from the EPFL. Post-do
 c researchers can apply via a short email pending registration of PhD stud
 ents who have priority.\\r\\nPlease register by sending an email to alexan
 dre.camus@unil.ch [mailto:alexandre.camus@unil.ch]\\r\\nParticipation is f
 ree of charge for doctoral students. All travel and accommodation expenses
  are covered by the doctoral program.
X-ALT-DESC:<p>Distant reading\, driven by the development of digital techno
 logy in the human sciences\, has emerged as one of the most prolific appro
 aches to literary texts. Maps\, graphics and trees\, in Moretti's (2005) w
 ords\, allow us to reread famous works in a new way\, or to look at large 
 amounts of texts that have long been forgotten. However\, often\, approach
 es to distant reading disregard the acquisition of the data to be observed
 : Where do they come from? How are they created?</p>\n<p>Our training scho
 ol proposes to return to the crucial stage of data acquisition\, focusing 
 on details of the production chain of literary data. During the two-day co
 urse\, we will start with OCR (optical character recognition)\, which make
 s it possible to transform an image into machine-readable text\, addressin
 g the difficulties introduced by the variation of graphic systems or the m
 ateriality of old artifacts. The second - decisive - step is the encoding 
 in XML-TEI\, which transforms the text into a usable database and allows t
 o add more information to the text (e.g.\, author\, gender\, period) for e
 nsuing analysis. The third and final step is the analysis with R\, which a
 llows hypotheses to be tested and patterns to be explored by analysing and
  visualising data.</p>\n<p>This course is part of a collective work carrie
 d out within the European COST &quot\;Distant reading&quot\; project of wh
 ich the organizers are the Swiss representatives.</p>\n<p>With a strong em
 phasis on practical experience\, this training school is geared towards bu
 ilding the framework for a first multilingual Swiss literary corpus (Frenc
 h\, Italian and German). Tasks participating in its construction during th
 e training school will provide an opportunity to discuss pertainent issues
 .</p>\n<p>The working language of the training school is English\, knowled
 ge of at least one of the three languages of the literary data (French\, I
 talian\, German) is also required.</p>\n<p>Registration process: Target gr
 oup of the training school are doctoral students affiliated with the unive
 rsities of Basel\, Bern\, Fribourg\, Geneva\, Neuchâtel and Lausanne as w
 ell as from the EPFL. Post-doc researchers can apply via a short email pen
 ding registration of PhD students who have priority.</p>\n<p>Please regist
 er by sending an email to <a href="mailto:alexandre.camus@unil.ch">alexand
 re.camus@unil.ch</a></p>\n<p>Participation is free of charge for doctoral 
 students. All travel and accommodation expenses are covered by the doctora
 l program.</p>
DTEND;TZID=Europe/Zurich:20191213T000000
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