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Scholarly Primitives of Scholarly Meetings: A DH-Inspired Exploration of the Virtual Incunabular in the Time of COVID 19

Authors: Edmond, Jennifer; Basaraba, Nicole; Doran, Michelle; Garnett, Vicky; Grile, Courtney Helen; Papaki, Eliza; Tóth-Czifra, Erzsébet;

Scholarly Primitives of Scholarly Meetings: A DH-Inspired Exploration of the Virtual Incunabular in the Time of COVID 19

Country
France
Related Organizations
Keywords

Digital Humanities, Arts & sciences humaines =\textgreater Archéologie, Virtual scholarly events, Scholarly primitives, COVID-19, [SHS] Humanities and Social Sciences, Scholarly meetings, [SHS]Humanities and Social Sciences

13 references, page 1 of 2

Abusaada H. and Elshater A. 2020 Abusaada, H., and Elshater, A. “COVID-19 Challenge, Information Technologies, and Smart Cities: Considerations for Well-Being.” International Journal of Community Well-Being 3, no. 3 (September 1, 2020): 417-24.

https://doi.org/10.1007/s42413-020-00068-5.

Anderson, S. et al. 2010 Anderson, S., Blanke, T., and Dunn S. “Methodological commons: arts and humanities eScience fundamentals”. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 368: 1925 (2010), pp. 3779-3796.

http://rsta.royalsocietypublishing.org/content/368/1925/3779.short.

Barnes, L. 2020 Barnes, L. “Moving a Workshop Online: What Works and What Doesn't?” COPIM, March 26, 2020. https://doi.org/10.21428/785a6451.370f67b5.

Boudreau. K. et al. 2017. Boudreau, Kevin J., Tom Brady, Ina Ganguli, Patrick Gaule, Eva Guinan, Anthony Hollenberg, and Karim R. Lakhani. “A Field Experiment on Search Costs and the Formation of Scientific Collaborations.” The Review of Economics and Statistics 99, no. 4 (October 2017): 565-76. https://doi.org/10.1162/REST_a_00676.

Byrd N. (forthcoming). Byrd, N. “Online Conferences: Some History, Methods, and Benefits.” In Rockwell, G., Miya, C., and Rossier, O. (eds.) Right Research: Modelling Sustainable Research Practices in the Anthropocene. United Kingdom: Open Book Publishers. Preprint version also available at: https://philpapers.org/rec/BYROCS Costley J. 2020 Costley, J., Fanguy, M., Lange, C., and Baldwin, M. “The Effects of Video Lecture Viewing Strategies on Cognitive Load.” Journal of Computing in Higher Education, April 6, 2020. https://doi.org/10.1007/s12528-020-09254-y.

Crane G. et al. (2006) Crane G., Bamman, D., Cerrato, L., Jones, A., Mimno, D., Packel, A., Sculley, D., Weaver, G., “Beyond Digital Incunabula: Modeling the Next Generation of Digital Libraries.” In: Gonzalo J., Thanos C., Verdejo M.F., Carrasco R.C. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2006. Lecture Notes in Computer Science, vol 4172. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11863878_30 DM2E 2015 Hennicke, S., Gradmann S., Dill, K., Tschumpel, G., Thoden, K., Morbindoni C.

and Pichler, A. D3.4 - Research Report on DH Scholarly Primitives. 2015.

https://dm2e.eu/files/D3.4_2.0_Research_Report_on_DH_Scholarly_Primitives_150402.pdf.

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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