AEOLIAN (Artificial intelligence for cultural organisations)
AEOLIAN (Artificial intelligence for cultural organisations)
批准号:
AH/V009443/1
负责人:
Lise Jaillant
金额:
$7.46万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2021
资助国家:
英国
项目状态:
已结题
起止时间:
2021 至 --
中文摘要
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英文摘要
How can we unlock "dark" digital archives closed to the public? What is the role of Artificial Intelligence (AI) in making digitised and born-digital cultural records more accessible to users, on both sides of the Atlantic? AEOLIAN (Artificial intelligence for cultural organisations) focuses on born-digital and digitised collections that are currently closed to researchers and other users due to privacy concerns, copyright and other issues. Archives are meant to be used, not locked away. In order to unlock cultural assets, we need to work across disciplines and harness the latest technology. AEOLIAN brings together Digital Humanists, Computer Scientists, archivists and other stakeholders to transform the access and use of born-digital and digitised collections which are currently hidden away. Analysing vast amounts of data cannot be done manually: automation is no longer a choice, it is a necessity. Artificial Intelligence can be used to improve access to non-confidential materials through sensitivity review, for example by distinguishing between personal and business emails. AEOLIAN aims to unlock born-digital and digitised collections and open them up to a large number of users. Access to digital archives is essential, but we also need to anticipate the moment when born-digital records will be more accessible. To make sense of this mass of data, new methodologies are urgently needed, combining traditional methods in the humanities with data-rich approaches. Collaborations between humanities scholars, computer scientists, archivists and other stakeholders are therefore essential to make archives more accessible, but also to design new methodologies to analyse huge amounts of data.AI and machine learning create opportunities, but also challenges, for libraries, archives and museums. The project will address larger questions in the humanities - including ethical and social considerations at the centre of current debates on AI and digital technologies.The AEOLIAN project will lead to the following research outputs:_6 online workshops , which will result in the creation of an international network of theorists and practitioners working with born-digital and digitised archives. _5 case studies of US and UK cultural organisations . These case studies will feed into an open-access 100-page report for an interdisciplinary audience outlining avenues for future research._2 collections of essays published as special issue of journal or edited collection. The final report will offer a roadmap on born-digital and digitised cultural assets, based on 5 case studies of specific collections in the UK and US and detailed interviews. Crucially, it will also develop specific ideas for interdisciplinary research areas to solve the issue of access to digital cultural assets, which could form the basis of future research initiatives.Archives are of course not reserved to academic researchers. The online workshops and the website will foster public engagement on the topic of the changing nature of archival collections (from print to digital) in the twenty-first century.The website will keep track of all the project activities in the form of presentation materials from all workshop participants, video recordings of workshop presentations, and case studies that will then feed into the final report. Associated social media will help us connect with interested parties - in academia, archival institutions and beyond.
期刊论文(10)
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科研奖励(0)
会议论文
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DOI:
10.1145/3594727
发表时间:
2023-04
期刊:
ACM Journal on Computing and Cultural Heritage
影响因子:
2.4
作者:
[Gustavo Candela;J. Pereda;Dolores Sáez;Pilar Escobar;Alexander Sánchez;Andrés Villa Torres;Albert A. Palacios;Kelly S. Mcdonough;Patricia Murrieta-Flores]
通讯作者:
Gustavo Candela;J. Pereda;Dolores Sáez;Pilar Escobar;Alexander Sánchez;Andrés Villa Torres;Albert A. Palacios;Kelly S. Mcdonough;Patricia Murrieta-Flores
(Mis)Matching Metadata: Improving Accessibility in Digital Visual Archives through the EyCon Project
DOI:
10.1145/3594726
发表时间:
2023-05
期刊:
ACM Journal on Computing and Cultural Heritage
影响因子:
2.4
作者:
[Katherine Aske;Marina Giardinetti]
通讯作者:
Katherine Aske;Marina Giardinetti
DOI:
10.1108/jd-01-2022-0029
发表时间:
2023-02
期刊:
Journal of Documentation
影响因子:
2.1
作者:
[Dilawar Ali;Kenzo Milleville;S. Verstockt;N. van de Weghe;Sally Chambers;Julie M. Birkholz]
通讯作者:
Dilawar Ali;Kenzo Milleville;S. Verstockt;N. van de Weghe;Sally Chambers;Julie M. Birkholz
The Library Catalogue as Dataset: Exploring Data Science Approaches to Analyse Collections at Scale
图书馆目录作为数据集:探索大规模分析馆藏的数据科学方法
DOI:
--
发表时间:
2022
期刊:
影响因子:
--
作者:
[Havens L]
通讯作者:
Havens L
Positioning Paradata: A Conceptual Frame for AI Processual Documentation in Archives and Recordkeeping Contexts
定位 Paradata:档案和记录保存环境中人工智能流程文档的概念框架
DOI:
10.1145/3594728
发表时间:
2023
期刊:
Journal on Computing and Cultural Heritage
影响因子:
--
作者:
[Cameron S]
通讯作者:
Cameron S
共 9 条
Unlocking our Digital Past with Artificial Intelligence (LUSTRE)
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批准号:AH/X003132/1
-
项目类别:Research Grant
-
资助金额:$10.28万
-
财政年份:2022
-
负责人:Lise Jaillant
-
依托单位:
EyCon (Visual AI and Early Conflict Photography)
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批准号:AH/W008408/1
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项目类别:Research Grant
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资助金额:$12.88万
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财政年份:2022
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负责人:Lise Jaillant
-
依托单位:
AURA (Archives in the UK/ Republic of Ireland & AI): Bringing together Digital Humanists, Computer Scientists & stakeholders to unlock cultural assets
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批准号:AH/V002341/1
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项目类别:Research Grant
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资助金额:$3.08万
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财政年份:2020
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负责人:Lise Jaillant
-
依托单位:
Survival of the Weakest: Preserving and Analysing Born-Digital Records to Understand How Small Poetry Publishers Survive in the Global Marketplace
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批准号:AH/R00773X/1
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项目类别:Fellowship
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资助金额:$24.84万
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财政年份:2018
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负责人:Lise Jaillant
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依托单位:
海外基金