Inicioddh20 : Data and Digital Humanities 2020

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Publicado el lunes 11 de mayo de 2020 por Anastasia Giardinelli

Resumen

The digital humanities offer a particularly rich research field of studies for data processing, apart from those of the hard sciences and the social sciences. Indeed, the humanities are rarely subject to privacy principles (privacy by design, GDPR…) that affect most social science works and are not just about digital or binary data. Moreover, in DH the data pre-exist and are most often already known if they are not collected and formalized. In this specific context, we propose in this track to question the practices resulting from the constitution of corpus and uses of data in humanities.

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Presentation

As of today, the organizing committee is still deciding on the final format (on-line, hybrid, etc) and the impact on the organization and registration fees. What is certain is that the conference will be held and the papers will be published. So there is still time to submit your proposal!

The digital humanities offer a particularly rich research field of studies for data processing, apart from those of the hard sciences and the social sciences. Indeed, the humanities are rarely subject to privacy principles (privacy by design, GDPR…) that affect most social science works and are not just about digital or binary data. Moreover, in DH the data pre-exist and are most often already known if they are not collected and formalized. In this specific context, we propose in this track to question the practices resulting from the constitution of corpus and uses of data in humanities.

This track is intended to be interdisciplinary to cover various aspects of the humanities that use various models, methods, and analyses for the cross-fertilization of knowledge. With regard to the reuse of research-generated data, its implementation is encouraged with developments in open and reproducible science. For example, we propose to analyze links between political and social injunctions to data sharing, the requirements of funding organizations, and the reality of Humanities issues. We also wish to discuss methods of controlling the quality of the data whether they are “captured” (i.e. Drucker’s “capta”) or “produced” as well as the possibility of “linking” them with each other and with authoritative organisms, vocabularies, and description schemes.

So, what will be the new uses of research data to consider in Humanities? When and how to prepare to share the data produced? Finally, what are the pitfalls to avoid?

Main topics

Contributions may address one or more of the following topics

  • Visualization of humanities data for the answer to scientific questions (questions of ethics, graphic semiology ...).
  • Mathematics and humanities (statistics, clustering ...).
  • Natural Language Processing (NLP) and the humanities.
  • Emergence of research questions in humanities through digital methods.
  • Cartography and the humanities.
  • Data identified and linked in humanities (LOD).
  • Methodology and modeling in digital humanities: the importance of maieutic (Socratic method).
  • Practices of sharing data from digital humanities.
  • Multidisciplinary point of view dealing with humanities’ data: Methodological and epistemic negotiations.

Submission Categories and Process

As a part of DTUC’20, ddh20 invites submissions in the following categories:

  • Long Papers :

Dedicated to long and mid-term research and experiences. The extension ranges from 4 to 6 pages.

  • Short Papers :

Ongoing projects, simulations, tests, experiments, self-critique and reflection. Extension: 2 to 4 pages.

  • Posters :

Innovative discoveries, new systems and approaches. Extension: 2-page description.

  • Demos :

Interactive systems, novel interfaces, emergent approaches to human-computer interaction. Extension: 2 pages description.

Submission Format

Please use the ACM Master Template to prepare your proposal.

Important: At the first step you are required to submit as an anonymous author for peer-reviewing. That is, leave in blank the Author and Affiliation text of the template. If your proposal is accepted, you will then prepare a final version with your full name and contact details.

To submit go to : https://ddh20.sciencesconf.org/index/unauthorized

Evaluation Process

  • All the proposals submitted to any of the five tracks of DTUC’20 follow a rigorous double-blind evaluation process. This means that both submitters and reviewers are anonymized during the reviewing process.
  • The reviewing team consists of members of the scientific committee, whose composition includes scholars, engineers, technicians, specialists, and artists, depending on the track.
  • Any submitted paper that includes affiliation information will be automatically discarded for review.
  • Instead of submitting initial abstracts, proposals must be sent in a ready-to-print format from the beginning of the evaluation process. This allows to concentrate directly on the content, the research results, the scientific argumentation and methodology.
  • The paper review criteria is based on originality, accordance to the theme and topics, scientific/technical contribution, and clarity of presentation.
  • Accepted submissions will have the opportunity to make amendments and corrections suggested by the reviewers. Only at this phase, papers are allowed to display affiliation information.

Registration and Publication

  • At least one author of accepted proposals is expected to register for the conference.
  • Accepted submissions will be published in the DTUC’20 book of proceedings.

Important dates

  • Paper Submission: The deadline for submitting proposals has been extended to June 7, 2020. (previously : May 14, 2020)

As of today, the organizing committee is still deciding on the final format (on-line, hybrid, etc) and the impact on the organization and registration fees. What is certain is that the conference will be held and the papers will be published. So there is still time to submit your proposal!

  • Congress: 15, 16 and 17 October 2020
  • Early registration: August 1, 2020
  • Camera-ready papers due : July 16, 2020
  • Notification to authors: June 29, 2020

Scientific Committee

Bibliography

  • Abiteboul, S., & Dowek, G. (2017). Le temps des algorithmes. Le pommier.
  • Bailey, C. D. (2014). Psychopathy, Academic Accountants’ Attitudes toward Unethical Research Practices, and Publication Success. The Accounting Review, 90(4), 1307‑1332. https://doi.org/10.2308/accr-50970
  • Bertin, J (1967) Sémiologie Graphique. Les diagrammes, les réseaux, les cartes. With Marc Barbut [et al.]. Paris: Gauthier-Villars. (Translation 1983. Semiology of Graphics by William J. Berg).
  • Borgman, C. L. (2010). The digital future is now: A call to action for the humanities.
  • Busa, R. (1974). Index Thomisticus Sancti Thomae Aquinatis Operum Omnium Indices Et Concordantiae in Quibus Verborum Omnium Et Singulorum Formae Et Lemmata Cum Suis Frequentiis Et Contextibus Variis Modis Referuntur.
  • Busa, R. (1980). The annals of humanities computing: The index thomisticus. Computers and the Humanities, 14(2), 83–90.
  • Cardon, D. (2015). A quoi rêvent les algorithmes. Nos vies à l’heure du Big Data. Paris: Le Seuil.
  • Castets-Renard, C., & Gandon, N. (2016). Open data des données de la recherche publique : entre réformes législatives et retour d’expérience sur un guide pratique à destination des chercheurs. LEGICOM, N° 56(1), 67‑75.
  • Drucker, J. (2011). Humanities approaches to graphical display. Digital Humanities Quarterly, 5(1), 1–21.
  • Gandon, F., Sabou, M., & Sack, H. (2017). Weaving a Web of linked resources. Semantic Web, 8(6), 767-772.
  • Gingras, Y. (2018). Les transformations de la production du savoir : de l’unité de connaissance à l’unité comptable. Zilsel, 4(2), 139‑152.
  • Kaplan, F. (2015). A map for big data research in digital humanities. Frontiers in digital humanities, 2(1).
  • Kembellec, G., & Broudoux, E. (Eds.). (2017). Reading and Writing Knowledge in Scientific Communities: Digital Humanities and Knowledge Construction. John Wiley & Sons.
  • Lemercier, C., & Zalc, C. (2019). Quantitative Methods in the Humanities: An Introduction. University of Virginia Press.
  • McCarty, W. (2016). Collaborative research in the digital humanities. In Collaborative Research in the Digital Humanities (pp. 13-22). Routledge.
  • Molloy, J. C. (2011). The open knowledge foundation: open data means better science. PLoS biology, 9(12), e1001195.
  • Schöch, C. (2013). Big? smart? clean? messy? Data in the humanities. Journal of digital humanities, 2(3), 2-13

Lugares

  • Hammamet, Túnez

Fecha(s)

  • domingo 07 de junio de 2020

Palabras claves

  • digital humanities, socratic method, data, TAL, data visualisation

Contactos

  • Gérald Kembellec
    courriel : gerald [dot] kembellec [at] cnam [dot] fr

Fuente de la información

  • Gérald Kembellec
    courriel : gerald [dot] kembellec [at] cnam [dot] fr

Para citar este anuncio

« ddh20 : Data and Digital Humanities 2020 », Convocatoria de ponencias, Calenda, Publicado el lunes 11 de mayo de 2020, https://calenda.org/777969

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