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    24th of November Workshop registration is open!

    The Estonian Maritime Museum and The Tallinn University are pleased to invite everyone interested to the workshop

    Digital Data in the Service of Cultural Heritage”,

    which will take place on the 24th and 25th of November 2021 online via Zoom.

    Programme

    Day 1

    9:45 Welcome Speech

    10:00 – 11:20 Session 1: Using and managing big datasets in cultural heritage (Chair Dr Brandon Braun)

    10:00 Joys and Sorrows of using Open Data of Museums Public Portal: Case Study on building Origin Map of Museum Items

    Liisi Taimre, Independent Scholar

    10:20 Using a machine learning model to assess the preservation of museum objects: project SÄLLI

    Kurmo Konsa, Pallas University of Applied Sciences, Estonia; Meri Liis Treimann, STACC (Software Technology and Applications Competence Center), Estonia; Kristiina Piirisild, The National Heritage Board, Estonia

    10:40 The Online Database of the Athenian Agora Excavations

    Aspasia Efstathiou, Assistant Registrar, Agora Excavations, American School of Classical Studies at Athens, Greece

    11:00 – 11:20 Questions

    11:20 – 11:30 Break

    11:30 – 12:50 Session 2: Novel uses of digital data and technologies in archaeology and cultural heritage (Chair Dr Katerina Velentza)

    11:30 How LIDAR data helps to discover new hillforts in Latvia

    Jānis Meinerts, Latvian Academy of Culture

    11:50 Deep-Sea archaeology in the Exclusive Economic Zone of Cyprus

    Achilles Iasonos, Oxford University Alumni Scholar, UK & Cyprus

    12:10 What data is missing on pictorial heritage and how to crowdsource it. The experience of Ajapaik platform.

    Vahur Puik, Estonian Photographic Heritage Society

    12:30 – 12:50 Questions

    12:50 – 14:00 Break

    14:00 – 15:30 Session 3: Historical and cultural analysis through digital data (Chair Ivar Treffner)

    14:00 Exploring Soviet Newsreels 1927-1994 Using a Cultural Data Analytics Approach

    Mila Oiva, CUDAN Open Lab, Tallinn University, Estonia; Ksenia Mukhina, CUDAN Open Lab, Tallinn University, Estonia; Vejune Zemaityte, CUDAN Open Lab, Tallinn University, Estonia; Daniel Chávez Heras, King’s College, London, UK; Maximilian Schich, CUDAN Open Lab, Tallinn University, Estonia.

    14:20 A storm in May 1872 and researching it using digitalised newspapers

    Anna Liiv, Tallinn University, Estonia

    14:50 Distant reading the climate of the past

    Krister Kruusmaa, Ecole Nationale des Chartes (Université Paris Sciences et Lettres) and University of Tallinn, France and Estonia

    15:10 – 15:30 Questions

    15:30 – 15:45 Break

    15:45 – 17:00 Keynote by Pat Tanner (Traditional Boats of Ireland Project) “From Data Capture to Digital Reconstruction”

    Day 2

    9.00-10.00 Keynote by Maximillian Schich (CUDAN Open Lab, Tallinn University) “Cultural Data Analytics”

    10.00-12.30 Workshop

    The aim of the second day data hackathon, organized by Andres Karjus (Tallinn University), is to create fertile soil for future collaborations, bringing together domain expertise with technical know-how from digital humanities and cultural data analytics. The hackathon starts off with a beginner-friendly practical workshop, with the purpose of providing common ground for people coming from possibly very different disciplines, in the form of a common (programming) language. 

    12.30-13.30 Break

    13.30-18.30 Workshop and Hackathon

    Due to the current situation with the COVID-19 pandemic, we have decided to host a workshop via Zoom. We will keep you up-dated on the situation.

    Participation is free of charge

    Day 1, 24th November free webinar registration is here: https://us06web.zoom.us/meeting/register/tZUqcO6urjMtG9IbW_ZTk9J0OKkSxyNl574h (after registering, you will receive a confirmation email containing information about joining the meeting)

    Day 2, 25th November (workshop-hackathon). Day 2 (workshop-hackathon) registration has been closed.

    Please feel free to contact us at merearheoloogia@meremuuseum.ee

    Meie veebilehe kasutamise jätkamisega nõustute veebilehe põhifunktsioonide toimimiseks ja kasutaja eelistuste salvestamiseks vajalike küpsiste kasutamisega.

    Salvesta Lisainfo