Training opportunities with COST-ARKWORK

COST Action on Archaeological practices and knowledge work in the digital environment (ARKWORK) is organising a Training school in Studying Archaeological fieldwork, knowledge production, and the digital environment in Athens, Nov 6-10, 2017. The call for trainees is open until July 3, 2017 and more information bout the school with instructions how to apply can be found at https://www.arkwork.eu/wp-content/uploads/2017/05/Callfortrainees_Arkwor... Trainees can be awarded a grant of upto 800€ for covering accommodation and travelling costs. The school is open for everyone and both senior and early career researchers and practitioners are encouraged to apply.

COST-ARKWORK has also announced a call for Short Term Scientific missions (i.e. research/training visits in COST jargon) with a possibility to get funding for short visits to institutions in participating COST countries (check the ARKWORK website for participating countries) with an agenda that is relevant for the action.

Archaeology and Archaeological Information in the Digital Society shows how the digitization of archaeological information, tools and workflows, and their interplay with both old and new non-digital practices throughout the archaeological information process, affect the outcomes of archaeological work, and in the end, our general understanding of the human past.

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COST-ARKWORK is a network funded by the COST scheme that brings together the multidisciplinary work of researchers of archaeological practices in the field of archaeological knowledge production and use. The aim of the network is to make a major push forward in the current state-of-the-art in knowing how archaeological knowledge is produced, how it is used and how to maximise its positive impact in the society.

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CApturing Paradata for documenTing data creation and Use for the REsearch of the future (CAPTURE) investigates what information about the creation and use of research data that is paradata) is needed and how to capture enough of that information to make the data reusable in the future. 

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