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Kalani craig digital humanities intro for AJS apr 18 2016


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An intro to digital humanities for the Association for Jewish Studies

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Kalani craig digital humanities intro for AJS apr 18 2016

  1. 1. A brief intro to Digital Humanities Kalani Craig Clinical Assistant Professor Indiana University— Bloomington @kalanicraig Around DH in 80 Days © 2014 Alex Gil
  2. 2. “Digital” in Arts & Humanities  Computational tools in humanities tasks  Why is it useful?  Ask new questions  Ask bigger questions  Interact with the objects of your research in previously impossible ways  Put students and readers in the driver’s seat
  3. 3. This will make my research better Yes No This will be really cool BUT…
  4. 4. Digitization (aka “Scanning”) Transform • Convert to digital • Optical Character Recognition (OCR) • Manual transcription • Create new artifacts Present • Which version? • In what format? • To whom? • With markup? Preserve • In digital form • Is this creation? • In analog form
  5. 5. Fancy scanning Digital Humanities In Practice, “Image processing in the digital humanities”
  6. 6. Data Mining (aka “Distant Reading”) Text Mining • Word clouds • N-grams • Topic Modeling • Corpus linguistics Natural Language Processing • Treebanking & part of- speech tagging • Latent Semantic Analysis • Named Entity Recognition • Sentiment Analysis Image analysis & processing • Image similarity • Text-as-images • ….?
  7. 7. Word Clouds & n-grams  It's valuable to lemmatize (or stem) text for the purposes of text mining because it provides a more consistent set of words with which to work. This can be particularly important for languages that are under supported in one analytical tool but well supported in another.
  8. 8. MALLET AntConc Topic Modeling & Corpus Linguistics
  9. 9. Treebanking & Part-of-Speech (PoS)
  10. 10. Computer Vision Prose Poetry
  11. 11. Spatial Analysis (aka “Maps”) Neogeography • Points, lines & polygons on a map • Minimal interaction • Approachable tools Georectified historical maps • Stretch to fit lat/long • Someday, maybe stretch lat/long to fit historical map Humanities GIS • More complex mapped data with • Statistics • Visualization • Multiple data sets • Cartograms
  12. 12. 2012 U.S. Elections Majority vote by state Majority vote by county Actual-vote cartogram © 2012 M. E. J. Newman
  13. 13. Historical GIS
  14. 14. Network analysis (aka “Relationships”) People and things Words and concepts Places and Timelines
  15. 15. The elements of a network Elijah Meeks,
  16. 16. Data visualization writ large
  17. 17. Augmented Reality Virtual exhibits & analysis 3D reconstructions & flyovers Reproductions
  18. 18. Hammered metal with niello Laser cut acrylic with paint The Fuller Brooch (9th c Anglo-Saxon) The British Museum, 1952,0404.1
  19. 19.  Nearby colleagues  Regional unconferences via  Your major professional organization  HILT (Indianapolis) and DHSI (Vancouver BC) Local community Virtual community  Twitter  DiRT   The Programming Historian Collaboration and Community  Your library  Books  Franco Moretti, Graphs, Maps, Trees and Distant Reading  Matthew Jockers, Macroanalysis  Todd Presner, David Shepard, and Yoh Kawano, HyperCities  Your students (we’ll get to that)
  20. 20. Troubleshooting
  21. 21. “Digital” in your Arts & Humanities  How might your research change?  Are you struggling to find a question in a flood of documents?  Do you have a question that can’t be answered using traditional means?  Do you have an answer that needs verification on a larger scale?  Who is your public? How does they fit into this?  Can you use digital methodology to present more succinctly?  From a different, more engaging perspective?  Given your new questions, your consideration of audience, will you  create new things?  analyze existing research objects?  both?
  22. 22. KALANI CRAIG | @kalanicraig |