Home | About | Subscribe | Search | Member Area |
Humanist Discussion Group, Vol. 33, No. 125. Department of Digital Humanities, King's College London Hosted by King's Digital Lab www.dhhumanist.org Submit to: humanist@dhhumanist.org [1] From: Marta ArosioSubject: Wikimedia Summer School (25) [2] From: Mark Hedges Subject: FW: Computational Archival Science Workshop at IEEE Big Data 2019 - call for papers (36) --[1]------------------------------------------------------------------------ Date: 2019-07-08 12:49:15+00:00 From: Marta Arosio Subject: Wikimedia Summer School Dear colleagues, I am delighted to invite you to the first editon of the Summer school "Wikimedia projects for digital humanities" organized by Wikimedia Italia, Italian chapter of the Wikimedia Foundation. The course will be kept from 9th to 13th of September in Milan and will be in Italian. It will be focused on the four main Wikimedia projects that interest cultural institutions (Wikipedia, Wikidata, Wikimedia Commons and Wikisource) and on tools designed to build activities on them and to monitor impacts on public. A large part will be given to practical activities and to the exploration of the more recent ideas about big data handling and analysis, linked open data sets, archive design and public engagement. Please contact me for any further equiry. With thanks and Best wishes Marta Arosio GLAM Project Officer Wikimedia Italia --[2]------------------------------------------------------------------------ Date: 2019-07-08 10:27:54+00:00 From: Mark Hedges Subject: FW: Computational Archival Science Workshop at IEEE Big Data 2019 - call for papers Computational Archival Science (CAS) Workshop #4 at IEEE Big Data 2019 (Los Angeles) - call for papers The organizers of the Computational Archival Science (CAS) Workshop at IEEE Big Data 2019 have issued a formal call for papers. This is the 4th workshop at IEEE Big Data addressing Computational Archival Science, following on from workshops in 2016(D.C.), 2017 (Boston), and 2018 (Seattle). All papers accepted for the workshop will be included in the Conference Proceedings published by the IEEE Computer Society Press, made available at the conference, which takes place Dec. 9 - 12, 2019 in Los Angeles, CA, USA. This day-long workshop will explore the conjunction (and its consequences) of emerging methods and technologies around big data with archival practice and new forms of analysis and historical, social, scientific, and cultural research engagement with archives. We aim to identify and evaluate current trends, requirements, and potential in these areas, to examine the new questions that they can provoke, and to help determine possible research agendas for the evolution of computational archival science in the coming years. At the same time, we will address the questions and concerns scholarship is raising about the interpretation of 'big data' and the uses to which it is put, in particular appraising the challenges of producing quality -- meaning, knowledge and value -- from quantity, tracing data and analytic provenance across complex 'big data' platforms and knowledge production ecosystems, and addressing data privacy issues. Important dates: * Oct 1, 2019: Due date for full workshop papers submission * Oct 22, 2019: Notification of paper acceptance to authors * Nov 10, 2019: Camera-ready version of accepted papers * Dec 9 - 12, 2019: Workshop [exact date TBD] See the full workshop CFP (https://dcicblog.umd.edu/cas/ieee-big-data-2019-4th- cas-workshop/) to learn more, including suggested research topics and submission instructions. _______________________________________________ Unsubscribe at: http://dhhumanist.org/Restricted List posts to: humanist@dhhumanist.org List info and archives at at: http://dhhumanist.org Listmember interface at: http://dhhumanist.org/Restricted/ Subscribe at: http://dhhumanist.org/membership_form.php
Editor: Willard McCarty (King's College London, U.K.; Western Sydney University, Australia)
Software designer: Malgosia Askanas (Mind-Crafts)
This site is maintained under a service level agreement by King's Digital Lab.