Big Humanities Data: Workshop Program

IEEE Big Data 2013, Workshop 2: “Big Data and the Humanities”

Location: Santa Clara, CA on Oct. 8, 2013

markhedgesblanke_PHOTOmarciano_PHOTO
Mark Hedges — Tobias Blanke — Richard Marciano


9:30-9:50 Coffee


9:50-12:00 First Session (130 mins – 10 mins intro plus 6 full papers)

  1. Infectious Texts: Modeling Text Reuse in Nineteenth-Century Newspapers (David Smith, Ryan Cordell, Elizabeth Maddock Dillon: Northeastern U., USA)
  2. Mapping Mutable Genres in Structurally Complex Volumes (Ted Underwood, Michael Black, Loretta Auvil, Boris Capitanu: U. Illinois Urbana-Champaign, USA)
  3. The Royal Birth of 2013: Analysing and Visualising Public Sentiment in the UK Using Twitter (Vu Dung Nguyen, Blesson Varghese, Adam Barker: U. of St. Andrews, UK)
  4. VisualPage: Towards Large Scale Analysis of Nineteenth-Century Print Culture (Neal Audenaert, Natalie Houston: Texas A&M and U. Houston, USA)
  5. A Case Study on Entity Resolution for Distant Processing of Big Humanities Data (Weijia Xu, Maria Esteva, Jessica Trlogan, Todd Swinson: U. of Texas at Austin, USA)
  6. A Concept of Generic Workspace for Big Data Processing in Humanities (Jedrzej Rybicki, Benedikt von St. Vieth, Daniel Mallmann: Juelich Supercomputing Centre, GE)member_115175992

12:00-13:20 Lunch (not provided)


13.20-15:20 Second Session (120 mins – 3 full papers plus 6 short papers)

Projects from ‘Digging into Data’ program:

  1. Visualization and Rhetoric: Key Concerns for Utilizing Big Data in Humanities Research (Kathleen Kerr, Bernice Hausman, Samah Gad, Waqas Javed: Virginia Tech and General Electric / Global Research, USA)
  2. CKM: A Shared Visual Analytical Tool for Large-Scale Analysis of Audio-Video Interviews (Lu Xiao, Yan Luo, Steven High: U. of Western Ontario and Concordia U., CANADA)
  3. Digging into Human Rights Violations: Data Modeling Collective Memory (Ben Miller, Ayush Shrestha, Jason Derby, Jennifer Olive, Fuxin Li, Yanjun Zhao, Karthikeyan Umapathy: Georgia State U. and U. North Florida and Georgia Institute of Technology, USA)

Short papers:

  1. Bibliographic Records as Humanities Big Data (Andrew Prescott: King’s College London, UK)
  2. Back to our Data – Experiments with NoSQL Technologies in the Humanities (Tobias Blanke, Michael Bryant, Mark Hedges: King’s College London, UK)
  3. Customising Geoparsing and Georeferencing for Historical Texts (C.J. Rupp, Paul Rayson, Alistair Baron, Christopher Donaldson, Ian Gregory, Andrew Hardie, Patricia Murrieta-Flores: Lancaster U., UK)
  4. The Human Face of Crowdsourcing: A Citizen-led Crowdsourcing Case Study (Sheryl Grant, Kristan Shawgo, Richard Marciano, Jeff Heard, Priscilla Ndiaye: UNC Chapel Hill, Duke U., Asheville, NC, USA)
  5. Humanities ‘Big Data’: Myths, Challenges, and Lessons (Amalia S. Levi: U. Maryland, USA)
  6. Robustness of Emotion Extraction from 20th Century English Books (Alberto Acerbi, Vasileios Lampos, Alexander Bentley: U. Bristol, UK and U. Sheffield, UK)

15:20-15:40 Coffee


15:40-17:40 Third Session (120 mins – 2 papers plus panel)

  1. The Curious Identity of Michael Field and its Implications for Humanities Research with the Semantic Web (Susan Brown, John Simpson: U. Alberta, CANADA)
  2. From Assets to Stories via the Google Cultural Institute Platform (William Seales, Steve Crossan, Mark Yoshitake, Sertan Girgin: Google, FR and U. Kentucky, USA)

16:20-17:40 Panel session and discussion on the future of big data in the humanities

Chairs: Tobias Blanke, Richard Marciano

  • Brett Bobley: NEH Office of Digital Humanities, USA (empty chair – US Gov. shutdown)
  • Andrew Prescott: AHRC Theme Fellow for the ‘Digital Transformations’, UK
  • William Seales: Google Cultural Institute, University of Wisconsin-Madison, USA
  • Barry Smith: AHRC Theme Fellow for the ‘Science and Culture’, UK
  • Ted Underwood: University of Illinois, Urbana-Champaign, USA
  • Christie Walker, Strategy & Development Manager for the AHRC’s History, Thought and Systems of Belief team, UK
  • panel_1_PHOTO panel_5_PHOTO panel_2_PHOTO panel_3_PHOTO panel_4_PHOTO crowd_panel_PHOTO

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