BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:OT-ST-WS-14 Preparation and processing of textual data - AI-assist
 ed application of Digital Humanities tools
DTSTART:20261001T080000Z
DTEND:20261001T130000Z
DTSTAMP:20260819T231400Z
UID:indico-event-22@events.bremen-research.de
CONTACT:data-train@vw.uni-bremen.de\;+49 (421) 218 60043
DESCRIPTION:Speakers: Data Train UBRA (U Bremen Research Alliance)\n\nBack
 ground\nRapidly growing quantities of well-available digital textual data 
 are the basis for a scientific field that has developed in recent years - 
 the digital humanities. As with all types of data in general\, textual dat
 a should be carefully sourced\, created and prepared. This course is for a
 nyone who wants to approach the topic of textual data preparation and proc
 essing.\nLearning contents\nAfter an introduction to Digital Humanities\, 
 we will practice a generic "standard" workflow using free\, generic softwa
 re tools that are well applicable within a multidud of domains. The workfl
 ow includes these steps: Data acquisition\, Data Refinement using OpenRefi
 ne\, and creating network visualizations using Gephi. If necessary or if t
 here is still time\, we write a few lines of Python code in Jupyter.\nLear
 ning objectives\n\nRecognize the power of automated data acquisition\nGain
 ing first proficiency applying the software tools OpenRefine\, and Gephi\n
 Being able to write a few lines of Python code in Jupyter \n\nPrior knowl
 edge\nNo specific requirements\, a general interest in learning new tools.
 \nTechnical requirements\n\nOwn laptop\n\nConnection to Wifi via eduroam o
 r equivalent access (see: https://www.uni-bremen.de/en/zfn/wifi/overview-w
 ifi)\n\nInstallation of the latest versions of OpenRefine\, and Gephi (par
 ticipants will receive installation instructions prior to the workshop)\nI
 f you do not have any programming environment (e.g. Python\, R\, Rstudio\,
  etc.) installed on your computer\, you can use web-based options: For exa
 mple\, participants with access to the Uni Bremen ZfN Services can use the
  Uni Bremen JupyterHub. Alternatively\, participants from Germany can use 
 the NFDI JupyterHub.\n\n \nThe Lecturer\n\n\n\n\nDr. Manfred Nölte\nDigi
 tal Humanities Advisor and Subject Librarian for Mathematics and Computer 
 Science at the State and University Library Bremen\n\n \n\n\n\n\n \n\n\n
 \n \nFind out more about the Data Train lecturers on our website.\n \nTh
 is event is organized by\n\n\nhttps://events.bremen-research.de/event/22/
LOCATION:Room 2.2070/2.2090 (2. floor) (Unicom 2 (Haus Oxford))
URL:https://events.bremen-research.de/event/22/
END:VEVENT
END:VCALENDAR