Upcoming talks and travel

Poster for a talk at Trinity College Dublin with illustrations of a man working in a factory and a soldier in a trench with sandbags and barbed wire
Trinity lecture poster

Get in touch if you'd like to meet for a chat about crowdsourcing / digital participation, digital scholarship, digital humanities or AI / machine learning in libraries, archives and museums! Or, indeed, the Museum Data Service, though the MDS contact page might be a better bet.

I'll be at the Digital Humanities 2026 conference in Seoul, South Korea at the end of July. Say hi if you'll be there too!

I was at Digital Humanities 2025 in Lisbon July 14 – 19, presenting with the British Library's Universal Viewer team and on a panel.

In September 2025 I was part of a residency at the Lorenz Center in Leiden for 'Enriching Digital Heritage with LLMs and Linked Open Data', and presented online in a programme on 'Múza, nebo hrůza? AI v literatuře, knihovnách a kultuře vůbec' at the Knihovny současnosti 2025 (Contemporary Libraries 2025) conference.

I also gave a keynote at the first RIDLE:HE (Research in Digital Learning in Higher Education) conference in Newcastle.

Previous activities are listed on '2024, an overview', etc.

Recent books

I'm currently working on chapters for the final Living with Machines book.

Chapter 5: Analysing the language of mechanisation in nineteenth-century British newspapers by Barbara McGillivray, Nilo Pedrazzini, Arianna Ciula, Jon Lawrence, Tiffany Ong, Mia Ridge, Miguel Vieira is now online for 'early access'.

In January 2023, Collaborative Historical Research in the Age of Big Data: Lessons from an Interdisciplinary Project by Ruth Ahnert, Emma Griffin, me and Giorgia Tolfo was published by Cambridge University Press.

In 2021 I wrote another book with 15 or so brilliant co-authors: The Collective Wisdom Handbook: perspectives on crowdsourcing in cultural heritage

My edited volume on 'Crowdsourcing our Cultural Heritage' for Ashgate, featuring chapters from some of the most amazing people working in the field was published in October 2014 and reprinted a few times subsequently. You can read my introduction on the OU repository: Crowdsourcing Our Cultural Heritage: Introduction.

By day, I usually at work at home at the British Library, so drop me a line if you'd like to meet for coffee and a chat. My availability for events is limited, but you can drop me a line if you'd like to book me for an event.

Some recent papers

Some publications are listed or accessible at my ORCID page, my Open University repository page, Humanities Commons page, Zenodo, and my Zotero page.

This page is rarely up-to-date or complete, but here's a summary of talks, fellowships, writing, etc in 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012 and 2011. You can also follow me on twitter (@mia_out) mastodon @mia@hcommons.social / https://hcommons.social/@mia for updates. I'm also on bluesky @miaout.bsky.social.

Previous papers are generally listed at miaridge.com or on my blog, Open Objects.

DH20206 presentation: A never-ending story: supporting access to museum and library collections (in the UK)

I'm posting my DH2026 talk abstract here, as they can be slightly hard to find in the huge official book of abstracts. You can access and cite the Book of Abstracts at https://doi.org/10.5281/zenodo.21495909

Mia Ridge, British Library, United Kingdom; Museum Data Service, United Kingdom

Arran Rees, Museum Data Service, United Kingdom

Ross Parry, University of Leicester, United Kingdom

In 2016, the Culture White Paper set out the UK government's 'ambition and strategy for the cultural sectors'. It included a vision of users enjoying 'a seamless experience online', with the ability 'to access particular collections in depth as well as search across all collections (Department for Digital, Culture, Media & Sport 2016)'.

In 2026, users have many options for accessing UK cultural heritage collections online, but the experience is far from seamless. Infrastructure for digital cultural heritage is a patchwork of open access images on non-profit platforms, paywalls and commercial databases, research datasets and various forms of 'free to view' collections – some collections can be accessed in depth, others only as metadata or catalogue records, while others have no online presence (Gosling et al. 2022). Searching across all collections is impossible.

Focusing on access to UK museum and library collections, this paper discusses two significant components of the UK's digital cultural heritage access for researchers.

The first is an aggregator of museum collections data, while the second is a brief description of the many options for accessing digitised items from the British Library. It closes with a call to support the long-term preservation and sustainability of cultural heritage collections online.

Aggregating museum collection data: introducing the Museum Data Service

The museum sector in the UK, as in many regions, is highly diverse. Large, national institutions can publish collection records with images, rich metadata and more via specialist websites and APIs, while tiny local or specialist museums might not be able to easily access their own collections records. While some of the estimated 80 million catalogue records held in c. 1700 accredited museums are available online, they were difficult to find and lacked persistent identifiers (Gosling et al. 2022). Finding museum records required using hundreds of websites with dozens of different interfaces, and collating museum collections for research at scale was almost impossible.

To address this challenge, the Museum Data Service (MDS) was launched in September 2024 to connect and share all the object records across all UK museums, large and small.  The MDS offers UK museums, and institutions with museum-like collections, the ability to share their object records with other museums, researchers and the public, on their own terms.

The MDS platform responds to the sector's difficulties using earlier aggregation platforms (such as Culture Grid and Europeana), particularly the difficulties museums had in exporting collections data and formatting it for aggregation. Sharing records with Europeana requires organisations to prepare their data by mapping their records to the Europeana Data Model (Europeana PRO, n.d.). In contrast, the MDS works with each contributing museum's own levels of technical capacity – it acknowledges the reality of the inconsistent approaches to data standards across the sector and accepts data in any format. The MDS team maps incoming fields to align them with the ‘Spectrum Units of Information’ names, without reformatting or standardising the data.  Museums can choose an appropriate Creative Commons licence for their dataset, reflecting their own access policies and attitude to risk management; this is also designed to encourage wider uptake by museums.

The real benefit of the MDS for Digital Humanities researchers is the meaningful connections it enables between museum collections and researchers (Parry et al. 2025). The MDS lets anyone search for types of collections, or specific types of objects within hundreds of museum collections. A user-friendly search interface enables detailed searches and sets of search results can be exported to support ongoing research by individuals. A specialist API supports the creation of bespoke datasets to support data analysis and modelling in heritage studies, for example to study questions of bias in cataloguing.

The fact that MDS does not ask collections to use a standard schema reduces the barriers to participation for museums. This also means that researchers can have access to the unique raw records that make up museum data, rather than a 'cleaned' version (Rawson and Muñoz 2016). The MDS does not make assumptions about the types of data that researchers might want, and it does not attempt to meet every need in the heritage sector. Rather, it aims to be an intrinsic part of a wider ecosystem for museum and heritage information, including participation in academic research projects (Bailey-Ross et al. 2024; Bailey et al. 2024). However, the MDS acknowledges that some researchers would prefer a slightly more standardised version of the data and is exploring options for this.

We hope to inspire future research using the museum data available on the platform, and to understand how the MDS might be developed to support emerging computational methods and Digital Humanities research questions.

The paradox of access enabled by commercial digitisation

While many nations have funded the digitisation of their national collections, organisations in the UK have been required by successive governments to seek public-private partnerships to digitise their collections. Under these deals, commercial companies who pay for collections digitisation can charge for access to those collections for a certain number of years. While research or direct government funding has paid for a certain amount of digitisation in the past, it is dwarfed by commercial funding. As a blog post by a British Library curator puts it:

'It has long been the goal of the British Library to make some of its digitised newspapers freely available online, but we also want to see the BNA [British Newspaper Archive] succeed as it has been doing, without which we could not have reached such a huge collection overall of digitised newspapers, nor the rate at which they are being produced (currently around half a million pages are being added to the BNA every month).' (McKernan 2021)

While most material digitised by commercial companies is eventually made more freely available, paywalls are one important factor in the fragmentation of access to collections. This was extensively documented in a Digital Collections Audit commissioned for the AHRC-funded research programme Towards a National Collection (TaNC) (Gosling et al. 2022).

The variety of sources of access to digitised collections from the British Library as in September 2023 helps illustrate this point.  The British Library's websites and catalogues hosted hundreds of thousands digitised books, manuscripts, 3D objects and sound files. Open access images and metadata were also available on Flickr Commons, Europeana and Wikimedia Commons. Newspapers were available on the British Newspaper Archive. Other commercial databases held selected other items, while other items were available via union catalogues. The Library's Research Repository had more open access items, from digitised images to datasets created via research projects like Living with Machines.  A large backlog of items was being processed for publication online. Altogether, this made answering an apparently simple enquiry about the availability of a particular item or collection online surprisingly complex.

However, this patchwork of platforms had one positive effect. While library users lost access to online catalogues, digitised and born-digital collections and the many services hosted by the British Library in a ransomware attack in October 2023, collections hosted on commercial and non-profit third-party platforms (including the Research Repository) continued to be available. The saying 'Lots of Copies Keep Stuff Safe' has never been more pertinent.

At the time of writing, the UK government is again investing in digital infrastructure, including the TaNC project and its successor, N-RICH. N-RICH has commissioned a range of activities to  'examine the scope, costs, risks, impacts and benefits of a future digital research infrastructure for cultural heritage in the UK' (Towards a National Collection 2025).

Digital records are fragile: the need to fund long-term access

Enabling access to collections online is one thing. Sustaining that access in the longer-term is another. The ransomware attack that took out most of the British Library's services was just the most dramatic incident that reduced online access to collections. Websites and platforms gradually disappearing when funding ends has eroded earlier digitisation efforts (Dunning 2009). For example, the results of the first big digitisation effort in the UK, the New Opportunities Fund c. 2000 – 2004, have long since been lost. Culture Grid, the UK's aggregator for Europeana, itself built on an earlier no-longer-supported project (the Peoples Network Discover Service), failed to find a sustainable financial model in the 2010s (Gosling 2019; Poole 2015).

More recently, collections sites have struggled to stay online through surges of bots scraping their sites to feed AI models. For example, the British Library's Research Repository was being scraped so heavily that it effectively experienced a Denial of Service attack until the team were able to put preventative measures in place.

Resourcing digital preservation and sustainability is not easy. In order to make the MDS a relatively lean operation, an early decision was made to exclude images and other media from the data aggregated. In addition to reducing financial costs, this reduces the environmental overhead of the service. However, not only does this add additional retrieval steps for researchers wanting to access images, it also means that the MDS cannot act as a backup of last resort for museums who lose access to their image assets.

Looking back over the long history of digitisation in museums, libraries and archives in the UK, it is clear that new economic models are needed to ensure the long-term availability of digital cultural heritage collections. Coming up with these models will require creativity and persuasive powers worthy of the collections they would protect.

References

  • Bailey, Rebecca, Javier Pereda, Chris Michaels, and Tom Callahan. 2024. Unlocking the Potential of Digital Collections. A Call to Action. Arts and Humanities Research Council. https://doi.org/10.5281/zenodo.13838916.
  • Bailey-Ross, Claire, Emily Burgess, and Panagiotis Papageorgiou. 2024. User Research: UK Gallery, Library, Archive and Museum  (GLAM) Digital Collections Infrastructure. Towards a National Collection. https://doi.org/10.5281/zenodo.12751226.
  • British Library. 2024. Learning Lessons from the Cyber-Attack: British Library Cyber Incident Review. British Library. https://www.bl.uk/home/british-library-cyber-incident-review-8-march-2024.pdf/.
  • Department for Digital, Culture, Media & Sport. 2016. The Culture White Paper. Department for Digital, Culture, Media & Sport. https://www.gov.uk/government/publications/culture-white-paper.
  • Dunning, Alastair. 2009. ‘Digitising the Past: Next Steps for Public-Sector Digitisation’. Digital Information-Order Or Anarchy? http://eprints.rclis.org/handle/10760/18048.
  • Europeana PRO. n.d. ‘Europeana Data Model’. Accessed 7 May 2026. https://pro.europeana.eu/page/edm-documentation.
  • Gosling, Kevin. 2019. ‘Nothing New except What Has Been Forgotten’. Collections Trust, November 27. https://collectionstrust.org.uk/blog/nothing-new-except-what-has-been-forgotten/.
  • Gosling, Kevin, Gordon McKenna, and Adrian Cooper. 2022. Digital Collections Audit. Towards a National Collection. Collections Trust. https://doi.org/10.5281/zenodo.6379581.
  • McKernan, Luke. 2021. ‘Free to View Online Newspapers’. The Newsroom Blog, August 9. https://blogs-archive.bl.uk/thenewsroom/2021/08/free-to-view-online-newspapers.html.
  • Parry, Ross, Stef De Sabbata, Andrew Ellis, Helen Hardy, and Mia Ridge. 2025. ‘A Framework for Sustainable and Scalable Cultural Data Integration and Analysis: Using the Large Dataset of the Museum Data Service’. 2025 11th International Symposium on System Security, Safety, and Reliability (ISSSR), April, 417–24. https://doi.org/10.1109/ISSSR65654.2025.00062.
  • Poole, Nick. 2015. ‘Guest Blog: Aggregation & the Culture Grid’. Museums Computer Group, May 31. https://museumscomputergroup.org.uk/culture-grid/.
  • Rawson, Katie, and Trevor Muñoz. 2016. ‘Against Cleaning’. Curating Menus, July 6. http://www.curatingmenus.org/articles/against-cleaning/.
  • ‘Spectrum’. n.d. Collections Trust. Accessed 7 May 2026. https://collectionstrust.org.uk/spectrum/.
  • Towards a National Collection. 2025. ‘N-RICH Prototype’. July. https://www.nationalcollection.org.uk/n-rich-prototype.

Forthcoming article in the Journal of Victorian Culture

I'm very excited to share the abstract for a forthcoming article in the Journal of Victorian Culture!

Seeing Library Collections Through New Lenses: The Potential of Large-Scale Digital Collections

Digital collections have fundamentally transformed historical research, enabling search with extraordinary precision across vast archives. While challenges such as including limited digitization, transcription errors, and infrastructure vulnerabilities remain, significant progress has been achieved through national collections, open platforms and innovative research projects. For example, The Alan Turing Institute and British Library's Living with Machines project (2018-23) demonstrated how interdisciplinary collaboration between historians, data scientists, and library professionals can develop powerful tools for analysing huge collections at scale.

Emerging technologies, including Machine Learning and Large Language Models, are making sophisticated computational methods accessible to historians. However, research still requires careful attention to the documentation of digitization processes, selection biases, and technical constraints. The characteristics of historical records – ambiguous, incomplete, subjective and inconsistent – represent both challenges and opportunities for computational methods. Approaches for presenting historical records must resist oversimplification and retain their contextual richness.

The future of digital history depends on historians actively engaging with and shaping these technologies. Through continued collaboration between cultural heritage institutions and researchers, the field can ensure that large-scale digital collections serve historical scholarship's values while enabling innovative research methodologies.

2024 – an overview

In January 2024 I presented with Kaspar Beelen at a virtual Research Colloquium on Digital History at the Humboldt-Universität zu Berlin / Forschungskolloquiums "Digital History" an der Humboldt-Universität zu Berlin: 'Das interdisziplinär ausgerichtete Projekt untersuchte mithilfe von Machine-Learning-Ansätzen den Einfluss der industrielle Revolution und insbesondere der Technologien auf das menschliche Leben anhand verschiedener Quellenkorpora, wie digitalisierten Zeitungen, Volkszählungen oder Karten.' The video is online.

I also gave a talk online for the Home Office's Data & Information Week with Karen Tingay (Head of Data and Methods, Office for Statistics Regulation).

I was in Australia (Melbourne, Ballina, Brisbane) in February-March. In February 2024 I took part in a panel on 'The Machines looking back at us' at the Future of Arts, Culture & Technology Symposium (FACT 2024) at ACMI, in Melbourne, Australia.

The videos from ACMI's FACT symposium are up on their website, with automatic transcripts for each session. My presentation is here in the longer panel session; you can also watch Jessamy Gee's graphic notation from the session being created in real time.

Graphical notation drawn during a conference session by Jessamy Gee. Points include 'our role is to help people answer questions'

I presented at the State Library of Victoria for a 'Digital Salon' on 'Technology & Experimentation: From the Lab to the Library’ on February 19.

On Feb 27 I spoke online at AI4LAM’s Australia and Aotearoa New Zealand chapter webinar on ’Models for Collaboration – GLAM and ML/AI Technologies’.

The video of my keynote, 'Evolutionary Innovations: Collections as Data in the AI era' for Making Meaning 2024 at the State Library of Queensland in March is now online.

Straight into work when I got back to the UK for our British Library / Guardian collaboration on 'Safeguarding Tomorrow: The impact of AI in media & information industries'. I was on a panel on 'messy data in the age of “intelligent” machines' at Jisc DigiFest (online) the same week.

In April I gave a keynote on 'Machine Learning for Collections' at the University of Cambridge Cultural Heritage Data School, and had a great time talking to the students and staff there. I'll also spoke at an event for the Association for Manuscripts and Archives in Research Collections (AMARC).

In May, videos about the Living with Machines projects were published, including Living with Machines: Exhibition and Living with Machines: Crowdsourcing.

In early June I travelled to Dundee, Scotland as one of the CILIPS Annual Conference 2024 keynotes. A brief immersion in the world of Scottish libraries was a refreshing diversion from the ongoing issues at work. My keynote, 'Playing with boundaries: collections, crowdsourcing and machines' is now online. I blogged about 'Outreach and marketing for crowdsourcing tasks' for the Living with Machines site (the project had finished, but it was the easiest way to make the work citeable).

Keynote 1- Playing with boundaries: collections, crowdsourcing and machines, Dr Mia Ridge, Digital Curator, The British Library

I was in DC / Virginia in early August for Digital Humanities 2024 (DH2024). On Tuesday I participated in a pre-conference workshop 'Teaching Machine Learning in the Digital Humanities'; on Thursday I was on a panel 'Reinventions and Responsibilities in the Age of AI' and did a poster: 'Treasures on an island? Challenges for integrating volunteer and AI-enriched metadata into GLAM systems' on the Friday.

I was in Luxembourg September 3 – 6 for the International Federation of Public History (IFPH)'s annual conference, presenting with Charlie Morgan on oral histories and AI in libraries.

I was in Kraków for "Converging Realms: Law, Technology, and Society in the Age of Ethical and Multi-Agent AI" 26-27 September, 2024 then travelled overland across Poland and Sweden to Göteborg to keynote at DigiKult on 1 – 3 October.

On November 5th I convened a panel on 'AI in Libraries: Beyond the Hype' for Libraries in Leeds, and blogged about 'Collaborating to improve usability: the Universal Viewer project' with Scott Jenson.

In December I was at the British School at Athens for a talk on libraries and AI. I wrote blog posts on AI (and machine learning, etc) with British Library collections and 'Open cultural data – an open GLAM perspective at the British Library'.

Listening with machines? The challenges of AI for oral history and digital public history in libraries

A photo of the Belval campus of the University of Luxembourg, with a sculpture of a large disk on tripod legs and a conference poster in the foreground

A conference paper I wrote with Charlie Morgan for IFPH2024, the 7th World Conference of the International Federation for Public History, in September 2024.

Abstracts weren't available in the conference programme so I've posted ours below. The abstract was written in November 2023, before we knew how much the ransomware attack in October 2023 was going to make our work with digital and digitised collections difficult-to-impossible for the next year or two.

Listening with machines? The challenges of AI for oral history and digital public history in libraries

Mia Ridge, Digital Curator, British Library; Charlie Morgan, Oral History Archivist, British Library

Almost every aspect of our personal and professional lives has been affected by 'AI' and machine-learning based tools. Digital public history is no exception. How does AI change the types of experiences that libraries, museums and archives can create for the public? How does it change our understanding of participatory history when family and community historians might want to use AI tools with digitised or born digital collections? What does it mean to share authority and co-create ‘knowledge’ with machine learning products, especially AI tools that see the world through the lens of Silicon Valley’s capitalist ‘winner takes all’ attitude?

This presentation shares work at the British Library on an AI Strategy and Ethical Guide for digital scholarship, with a particular focus on the implications of AI for archived oral historians. It will include a case study of the use and applicability of corpus linguistic and digital humanities tools to search interviews, identify themes and select sections of audio for close listening. We will also consider the lessons from this case study for our AI strategy more broadly.

What are the ethical, practical and research implications of using AI to transcribe, summarise or analyse oral histories? What is the Library's role, and that of other professional bodies, in providing guidance for research students and others conducting or analysing interviews on platforms with built-in AI tools (for example, Microsoft Teams / OpenAI's Whisper), or exploring how AI could make oral histories more accessible and discoverable? How might AI tools change processes for quality checking records, and how should AI-generated metadata, transcriptions and descriptions be labelled?

This work builds on previous considerations of the implications of AI for digital public history projects, challenging established models for working with crowdsourcing, user-generated content, and other forms of digital participatory history.