Call for Chapters: Data Analytics in Digital Humanities

Monday, February 29, 2016 (All day)

Data Analytics in Digital Humanities

Editor: Dr. Shalin Hai-Jew, Kansas State University, haijes@gmail.com (and 1-785-532-5262)
Publisher: Springer Science + Business Media
Theme: Of late, the “digital humanities” have come to the fore with researchers, academics, and students using digital means to advance their humanities work. These efforts include endeavors to:

  • annotate, present, and share raw data and digitized artifacts and processed information through Web-facing digital archives and databases;
  • model human experiences digitally through virtual spaces and games;
  • collect and analyze data from heterogeneous sources;
  • code data;
  • query the data and information (manually and computationally);
  • extract models;
  • pose questions;
  • challenge cultural and historical understandings;
  • reconfigure current constructs / challenge power and privilege, and
  • broaden ways to knowing and being.

This text will focus on a range of technology tools and methods used for research and data analytics in the digital humanities, with particular focuses on local domain-specific applied theories, techniques, and approaches, as well as more global methods.

Book audience: Researchers, academics, practitioners, and students in higher education
Chapters: Research papers, meta-analyses, case studies, technology-based tutorials, and concept papers
About imagery: Please note that Springer has strict limits on the amount of imagery that may be included, with a maximum of 1-2 per paper. 
Manuscript preparation details: https://www.springer.com/gp/authors-editors/book-authors-editors/manuscriptpreparation/5636 

A Tentative Table of Contents (TOC) 

  1. Exploratory research in the digital humanities
    1. Principles
    2. Theories
    3. Theoretical and practical approaches
    4. “Best practices”
    5. Standards
    6. Structuring questions and approaches 
  2. Research technologies and the digital humanities
    1. Mobile devices
    2. Applications
    3. Multimedia equipment (for data capture and sharing)
    4. Sensors
    5. Social platforms
    6. Augmented spaces
    7. WWW and Internet
    8. Search engines, browser add-ons
    9. Data sources
    10. XML tagging tools
    11. Network graphing tools
    12. Mapping tools
    13. Machine-based authoring tools
    14. Open-source tools (such as those on the Dirt Directory) / proprietary tools
    15. Game design tools
  3. (Raw) data types (and data representations)
    1. Metadata
    2. Trace data / log data
    3. Content data
    4. Multimedia
    5. Text corpuses (and marginalia)
    6. Coding annotations and markups
    7. Gray literature
    8. JSON
    9. XML
    10. Other types
  4. (Processed) data types
    1. Profiles
    2. Collections
    3. Data structures
    4. Image sets
    5. Video sets
    6. Games
    7. Simulations
  5. Data preparation standards and practices
    1. Digitization of analog sources (transcoding) 
    2. Born-digital contents
    3. Tagging (of text and multimedia)
    4. XML tagging for machine-based research and visualizations
    5. Data curation
    6. Data provenance
    7. Data indexing
    8. Data archival and preservation (and data inheritance and re-use)
  6. Research technologies and related methods of knowledge creation in the digital humanities
    1. Data management tools
    2. Data interfaces
    3. Data dashboards
    4. Digital content analysis (coding, encoding, decoding, recoding)
      1. Text analysis
        1. Stylometry
        2. Author identification / attribution
        3. Text mining
        4. Machine (distant) reading / text summarization
      2. Image analysis
        1. Visual semiotics
        2. Visual rhetoric
        3. Image mining
      3. Multimedia analysis (of videos, of simulations, of games, and others)
        1. Video mining
        2. Game studies 
    5. Network analysis (social networks, content networks)
    6. Geospatiality and geographical mapping (digital cartography)
    7. 3D reconstruction
    8. GIS applications 
    9. Sensor research
    10. Autocoding (unsupervised, semi-supervised, and supervised machine learning)
    11. Data-related modeling
    12. Machine learning
    13. Mass - macro (and / or micro) crowd-sourced; communal (communities of practice, research teams)
  7. Direct research practices in the digital humanities
    1. Transmedia studies
    2. Culturomics
    3. Computational linguistics, and others
    4. Online surveys, panels, focus groups, e-Delphi studies
    5. Crowdsourcing
    6. Social activism and digital humanities research 
  8. Data capture and datafication
    1. Data scraping the WWW and Internet
    2. Social media platforms (and resulting data types, JSON, XML, and others…and their uses) 
      1. Microblogging sites
      2. Online crowd-sourced encyclopedias
      3. Online social networking (OSNs)
      4. Survey sites
      5. Image-sharing sites
      6. Audio-sharing (old-school podcast) sites
      7. Video-sharing sites
      8. Tagging sites
      9. http (Web) networks, and others
    3. Socio-technical systems 
  9. Exploratory big data and the digital humanities
    1. Data sets acquisition and management 
    2. Data streams
    3. Technologies and related methods
    4. Applications
  10. Digital collections, galleries, libraries, and repositories
    1. Web 3.0 publishing and sharing sites
    2. Presentation software for online collections
  11. Data representations and displays
    1. Data visualizations
    2. Graphs
    3. Maps
    4. Motion-based visualizations
    5. Interactive data representations, and others
  12. Data ethics in the digital humanities
  13. Humanistic values in data analytics in the digital humanities
  14. Data verification / validation / forensics in the digital humanities
  15. Real-world cases 
  16. Knowledge creation and outputs in the digital humanities
  17. Methods for challenging and countering exploratory research assertions in the digital humanities

* The above is only a suggested potential TOC. Other topics are welcome. 

Deadlines: 

  1. Feb. 29, 2016 Submission of chapter proposals (200 - 500 words) via email 
  2. March 15, 2016 Submission of full draft chapter (10-30 pp. single-spaced, maximum 2 images / figures / tables) 
  3. March 31, 2016 Return of feedback from double-blind peer reviews (2 minimum); decision notification 
  4. April 30, 2016 Revised chapters due (with brief summary of changes); related images due 
  5. May 15, 2016 Final notification of acceptance 
  6. June 15, 2016 Final submittal of chapter, related images, contracts, and other related elements 
  7. Note: Publication is slated for some time after August 2016. 

Note: Please feel free to share this Call for Chapters broadly.

Call for Chapters: Data Analytics in Digital Humanities
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