IDEAS home Printed from https://ideas.repec.org/a/bla/jinfst/v73y2022i2p188-203.html
   My bibliography  Save this article

Digital humanities in the iSchool

Author

Listed:
  • John A. Walsh
  • Peter J. Cobb
  • Wayne de Fremery
  • Koraljka Golub
  • Humphrey Keah
  • Jeonghyun Kim
  • Joseph Kiplang'at
  • Ying‐Hsang Liu
  • Simon Mahony
  • Sam G. Oh
  • Chris Alen Sula
  • Ted Underwood
  • Xiaoguang Wang

Abstract

The interdisciplinary field known as digital humanities (DH) is represented in various forms in the teaching and research practiced in iSchools. Building on the work of an iSchools organization committee charged with exploring digital humanities curricula, we present findings from a series of related studies exploring aspects of DH teaching, education, and research in iSchools, often in collaboration with other units and disciplines. Through a survey of iSchool programs and an online DH course registry, we investigate the various education models for DH training found in iSchools, followed by a detailed look at DH courses and curricula, explored through analysis of course syllabi and course descriptions. We take a brief look at collaborative disciplines with which iSchools cooperate on DH research projects or in offering DH education. Next, we explore DH careers through an analysis of relevant job advertisements. Finally, we offer some observations about the management and administrative challenges and opportunities related to offering a new iSchool DH program. Our results provide a snapshot of the current state of digital humanities in iSchools which may usefully inform the design and evolution of new DH programs, degrees, and related initiatives.

Suggested Citation

  • John A. Walsh & Peter J. Cobb & Wayne de Fremery & Koraljka Golub & Humphrey Keah & Jeonghyun Kim & Joseph Kiplang'at & Ying‐Hsang Liu & Simon Mahony & Sam G. Oh & Chris Alen Sula & Ted Underwood & Xi, 2022. "Digital humanities in the iSchool," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(2), pages 188-203, February.
    • Handle: RePEc:bla:jinfst:v:73:y:2022:i:2:p:188-203
    DOI: 10.1002/asi.24535
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.24535
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asi.24535?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Andrea Wiggins & Steven Sawyer, 2012. "Intellectual diversity and the faculty composition of iSchools," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(1), pages 8-21, January.
    2. Margaret E. Roberts & Brandon M. Stewart & Edoardo M. Airoldi, 2016. "A Model of Text for Experimentation in the Social Sciences," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(515), pages 988-1003, July.
    3. Andrea Wiggins & Steven Sawyer, 2012. "Intellectual diversity and the faculty composition of iSchools," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(1), pages 8-21, January.
    4. Tanya E. Clement & Daniel Carter, 2017. "Connecting theory and practice in digital humanities information work," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(6), pages 1385-1396, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Baik, Jeeyun Sophia & Famularo, Jordan, 2024. "Contextual integrity of loyalty programs, compromised? Interrogating consumer health data practices and networked actors in the U.S. retail sector," Telecommunications Policy, Elsevier, vol. 48(7).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zuo, Zhiya & Zhao, Kang, 2018. "The more multidisciplinary the better? – The prevalence and interdisciplinarity of research collaborations in multidisciplinary institutions," Journal of Informetrics, Elsevier, vol. 12(3), pages 736-756.
    2. Fan Jiang & Nian Cai Liu, 2020. "New wine in old bottles? Examining institutional hierarchy in laureate mobility networks, 1900–2017," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1291-1304, November.
    3. Zhu, Yongjun & Yan, Erjia, 2017. "Examining academic ranking and inequality in library and information science through faculty hiring networks," Journal of Informetrics, Elsevier, vol. 11(2), pages 641-654.
    4. Zuo, Zhiya & Zhao, Kang & Ni, Chaoqun, 2019. "Standing on the shoulders of giants?—Faculty hiring in information schools," Journal of Informetrics, Elsevier, vol. 13(1), pages 341-353.
    5. Shalini R. Urs & Mohamed Minhaj, 2023. "Evolution of data science and its education in iSchools: An impressionistic study using curriculum analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(6), pages 606-622, June.
    6. Wenjing Lyu & Yuanhao Huang & Jin Liu, 2024. "The multifaceted influence of multidisciplinary background on placement and academic progression of faculty," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-21, December.
    7. Dalton Lopes Martins & Daniela Lucas da Silva Lemos & Luis Felipe Rosa de Oliveira & Joyce Siqueira & Danielle do Carmo & Vinicius Nunes Medeiros, 2023. "Information organization and representation in digital cultural heritage in Brazil: Systematic mapping of information infrastructure in digital collections for data science applications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(6), pages 707-726, June.
    8. Palaniswamy, Nethra & Parthasarathy, Ramya & Rao, Vijayendra, 2019. "Unheard voices: The challenge of inducing women’s civic speech," World Development, Elsevier, vol. 115(C), pages 64-77.
    9. Dejian Yu & Bo Xiang & Zhuoya Pan, 2024. "Combining text analytics and network path extraction to trace CSR in the social sciences: Intellectual structures and diffusion trajectories," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(5), pages 4532-4554, September.
    10. Sandra Wankmüller, 2023. "A comparison of approaches for imbalanced classification problems in the context of retrieving relevant documents for an analysis," Journal of Computational Social Science, Springer, vol. 6(1), pages 91-163, April.
    11. Bai, Shizhen & Yu, Dingyao & Han, Chunjia & Yang, Mu & Gupta, Brij B. & Arya, Varsha & Panigrahi, Prabin Kumar & Tang, Rui & He, Hao & Zhao, Jiayuan, 2024. "Warmth trumps competence? Uncovering the influence of multimodal AI anthropomorphic interaction experience on intelligent service evaluation: Insights from the high-evoked automated social presence," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
    12. Yuxiang Chris Zhao & Jingwen Lian & Yan Zhang & Shijie Song & Xinlin Yao, 2024. "Value co‐creation in cultural heritage information practices: Literature review and future agenda: An Annual Review of Information Science and Technology (ARIST) paper," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 75(3), pages 298-323, March.
    13. Sallin, Aurelién, 2021. "Estimating returns to special education: combining machine learning and text analysis to address confounding," Economics Working Paper Series 2109, University of St. Gallen, School of Economics and Political Science.
    14. Das, Kallol & Patel, Jayesh D. & Sharma, Anuj & Shukla, Yupal, 2023. "Creativity in marketing: Examining the intellectual structure using scientometric analysis and topic modeling," Journal of Business Research, Elsevier, vol. 154(C).
    15. Dimitrios Kanelis & Pierre L. Siklos, 2025. "The ECB press conference statement: deriving a new sentiment indicator for the euro area," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 652-664, January.
    16. Dehler-Holland, Joris & Okoh, Marvin & Keles, Dogan, 2022. "Assessing technology legitimacy with topic models and sentiment analysis – The case of wind power in Germany," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    17. Sumeet Sahay & Hemant Kumar Kaushik & Shikha Singh, 2023. "Discovering themes and trends in electricity supply chain area research," OPSEARCH, Springer;Operational Research Society of India, vol. 60(3), pages 1525-1560, September.
    18. Marc Burri & Daniel Kaufmann, 2024. "Measuring multiple monetary policy shocks based on heteroscedasticity," IRENE Working Papers 24-03, IRENE Institute of Economic Research.
    19. Dehler-Holland, Joris & Schumacher, Kira & Fichtner, Wolf, 2021. "Topic Modeling Uncovers Shifts in Media Framing of the German Renewable Energy Act," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 2(1).
    20. Marcel Fratzscher & Tobias Heidland & Lukas Menkhoff & Lucio Sarno & Maik Schmeling, 2023. "Foreign Exchange Intervention: A New Database," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(4), pages 852-884, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jinfst:v:73:y:2022:i:2:p:188-203. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.