[DHKO] FW: CFP - AI & Society - “When data turns into archives: making digital records more accessible with AI” (fwd)

[Thomas Gramstad]

---------- Forwarded message ----------
Date: Mon, 12 Feb 2024 14:44:15 +0000
From: Camilla Holm Soelseth via DHKO <dhko+camil_at_oslomet.no at gaggle.email>
To: dhko.list at dhko.no
Subject: [DHKO] FW: CFP - AI & Society - “When data turns into archives: making
     digital records more accessible with AI”
Resent-From: <thomas.gramstad at ub.uio.no>


Mulig av interesse for noen her 😊


CFP: When data turns into archives: making digital records more accessible with AI

From: LUSTRE Network <LUSTRE-NETWORK at JISCMAIL.AC.UK> On Behalf Of Lise Jaillant
Sent: Monday, February 12, 2024 1:17 PM
To: LUSTRE-NETWORK at JISCMAIL.AC.UK
Subject: CFP - AI & Society - “When data turns into archives: making digital records more accessible with AI”

Dear all,

I am pleased to let you know that the special issue “When data turns into archives: making digital records more accessible with AI” has been accepted in the journal AI & Society.

The Call for Papers can be found here:

https://link.springer.com/journal/146/updates/26671434

The overall aim of this special issue is to explore how AI can help improve the preservation, access and usability of digital and born-digital archives. It focuses on the perspective and the challenges that AI can offer in unlocking archival data in various sectors (including government).

Bringing together digital humanists and social scientists, AI experts, professionals in Information Management, archivists, librarians, and museum professionals, this special issue welcomes contributions that explore themes including, but not limited to:

_AI applied to archival data created by government, cultural heritage organizations or other institutions;
_“Digital Heap” and the issue of disorganized data;
_Making archival data more accessible for public good;
_Risks associated with AI applied to born-digital records;
_Mitigating these risks: AI and ethics /Designing responsible AI systems;
_Research methods (including AI approaches) to use archival data;
_Qualitative approaches, for example to survey professional attitudes towards AI and archives.

IMPORTANT DATES:

Abstract submission: 30th June 2024
Manuscript submission: 30th September 2024

For inquiries and to submit your abstract (300 words) by email, please contact l.jaillant[at] lboro.ac.uk

The proposed special issue is a key research output of the LUSTRE project funded by the Arts and Humanities Research Council (AHRC) in the UK. The overall aim of the LUSTRE project is to connect policy makers with computer scientists, digital humanists and professionals in the GLAM sector (Galleries, Libraries, Archives and Museums). More information on the project can be found on our website: https://lustre-network.net/

Best wishes,

Dr Lise Jaillant | Reader in Digital Humanities
School of Social Sciences and Humanities | Loughborough University

Recent AHRC-funded projects:


   1.  LUSTRE<https://lustre-network.net/> (Unlocking our Digital Past with AI), in partnership with the Cabinet Office
   2.  EyCon<https://eycon.hypotheses.org/> (Visual AI and Early Conflict Photography) in partnership with French researchers
   3.  AEOLIAN<https://www.aeolian-network.net/> (UK/ US: AI for Cultural Organizations)

Latest articles: https://www.lisejaillant.com/p/articles-and-book-chapters.html

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DHKO - Nasjonalt forskningsnettverk for digital humaniora og kulturorganisasjon

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