British Library is delighted to host its annual Open and Engaged Conference on Monday 21 October, in-person and online, as part of the International Open Access Week. The Conference is supported by the Arts and Humanities Research Council (AHRC) and Research Libraries UK (RLUK).  

 

Open and Engaged 2024: Empowering Communities to Thrive in Open Scholarship will centre leveraging the power of communities in the axis of open scholarship, open infrastructure, emerging technologies, collections as data, equity and integrity, skills development and sustainable models to elevate research of all kinds for the public good. We take a cross sectoral approach to the conference programme – unifying around shared-values for openness – by reflecting on practices within research libraries both in higher education and GLAM (Galleries, Libraries, Archives, Museums) sectors as well as the national and public libraries.  

Open and Engaged 2024 is supported by the Arts and Humanities Research Council (AHRC) and Research Libraries UK (RLUK). Everyone interested in the conference topics is welcome to join us on Monday, 21 October! 

This will be a hybrid event taking place at the British Library’s Knowledge Centre in St. Pancras, London, and streamed online for those unable to attend in-person. 

 

Registration

Please register for Open and Engaged 2024 by filling out this form. Registration will close on Friday 4 October for in-person attendance and Thursday 17 October for online attendance at 18:00 BST.  

Registrants will be contacted with details for either in-person attendance or a link to access the online stream closer to the event. 

 

Provisional Programme 

09:30 Registration for in-person attendees 

10:00 Welcome remarks 

10:10 Opening keynote panel: Cross disciplinary approach to open scholarship 

• Dr Paola Castaño, Research Fellow, University of Exeter 

• Hugh Shanahan, Professor of Open Science, Royal Holloway University of London 

• Jane Winters, Professor of Digital Humanities & Director of the Digital Humanities Research Hub, University of London 

10:50 Equity and inclusivity in the age of artificial intelligence (AI) 

11:40 Break 

12:10 Enabling collections as data: From policy to practice  

13:00 Lunch 

13:45 Open repositories for research of all kinds 

15:15 Deepening partnership through shared values 

16:15 Closing keynote: Future role of libraries as open and inclusive digital (and physical) spaces 

16:45 Closing remarks  

17:00 Networking session  

19:00 End 

 

The hashtag for the event is #OpenEngaged on social media platform of your choice. If you have any questions, please contact us at [email protected].  

This blog post is by Dr Adi Keinan-Schoonbaert, Digital Curator for Asian and African Collections, British Library. She's on Mastodon as @[email protected]. 

 

Earlier this month, I had the pleasure of attending the “Charting the European D-SEA: Digital Scholarship in East Asian Studies” conference held at the Berlin State Library (Staatsbibliothek zu Berlin), also known as the Stabi. The conference, held on 11-12 July 2024, aimed to fill a gap in the European digital scholarship landscape by creating a research community and a space for knowledge exchange on digital scholarship issues across humanities disciplines concerned with East Asian regions and languages.

The event was a dynamic fusion of workshops, presentations and panel discussions. Over three days of workshops (8-10 July), participants were introduced to key digital methods, resources, and databases. These sessions aimed to transmit practical knowledge in digital scholarship, focusing on East Asian collections and data. The subsequent two days were dedicated to the conference proper, featuring a broad range of presentations on various themes.

The reading room in the Berlin State Library, Haus Potsdamer Straße

 

DH and East Asian Studies in Europe and Beyond

Conference organisers Jing Hu and Brent Ho from the Stabi, and Shih-Pei Chen and Dagmar Schäfer from the Max Planck Institute for the History of Science (MPIWG), set the stage for an enriching exchange of ideas and knowledge. The diversity of topics covered was impressive – from the more established digital resources and research tools to AI applications in historical research – the sessions provided a comprehensive overview of the current state and future directions of the field.

There were so many excellent presentations – and I often wished I could clone myself to attend parallel sessions! As expected, there was much focus on working with AI – machine learning and generative AI – and their potential in historical and humanities research. AI technologies offer powerful tools for data analysis and pattern recognition, and can significantly enhance research capabilities.

Damian Mandzunowski (Heidelberg University) talked about using AI to extract and analyse information from Chinese Comics

 

Shaojian Li (Renmin University of China) looked into automating the classification of pattern images using deep learning

One notable session was "Reflections on Deep Learning & Generative AI," chaired by Brent Ho and discussed by Clemens Neudecker. The roundtable highlighted the evolving role of AI in humanities research. Calvin Yeh from MPIWG discussed AI's potential to augment, rather than just automate, research processes. He shared intriguing examples of using AI tools like ChatGPT to simulate group discussions and suggest research actions. Hongsu Wang from Harvard University presented on the use of Large Language Models and traditional Transformers in the China Biographical Database (CBDB) project, demonstrating the effectiveness of these models in data extraction and standardisation.

Calvin Yeh (MPIWG) discussed AI for “Augmentation, not only Automation” and experimented with ChatGPT discussing a research approach, designing a research process and simulating a group discussion

 

Hongsu Wang (Harvard University) talked about extracting and standardising data using LLMs and traditional Transformers in the CBDB project – here showcasing Jeffrey Tharsen’s research to create a network graph using a prompt in ChatGPT

 

Exploring the Stabi

Our group tour in the Stabi was a personal highlight for me. This historic library, part of the Prussian Cultural Heritage Foundation, is renowned for its extensive collections and commitment to making digitised materials publicly accessible. The library operates from two major public sites – Haus Unter Den Linden and Haus Potsdamer Straße. Tours of both locations were available, but I chose to explore the more recent building, designed by Hans Scharoun and located in the Kulturforum on Potsdamer Straße in West Berlin – the history and architecture of which is fascinating.

A group of the conference delegates enjoying the tour of SBB’s Haus Potsdamer Straße

I really enjoyed catching up with old colleagues and making new connections with fellow scholars passionate about East Asian digital humanities!

To conclude

In conclusion, the Charting European D-SEA Conference at the Stabi was an enriching experience, providing deep insights into the integration of digital methods in East Asian studies. It provided valuable insights into the advancements in digital scholarship and allowed me to connect with a global community of scholars. The combination of traditional and more recent digital practices, coupled with the forward-looking discussions on AI and deep learning, made this conference a significant milestone in the field. I look forward to seeing how these conversations evolve and contribute to the broader landscape of digital humanities.

 

Digital Curator Mia Ridge writes... I was invited to chair a session on 'AI and the digital humanities' at CILIP's 2024 conference with Ciaran Talbot (Associate Director AI & Ideas Adoption, University of Manchester Library) and Glen Robson (IIIF Technical Co-ordinator, International Image Interoperability Framework Consortium). Here's a quick post with some reflections on themes in the presentations and the audience Q&A.

CILIP's photo of our session

I presented a brief overview of some of the natural language processing (NLP) and computer vision methods in the Living with Machines project. That project and other work at the British Library showed that researchers can create innovative Digital Humanities methods and improve collections data with current AI / machine learning tools. But is there a gap between 'utilities' and 'cutting edge research' that AI can't (yet) fill for libraries?

AI (machine learning) makes library, museum and archive collections more accessible in two key ways. Firstly, more and better metadata and links across collections can make individual items more discoverable (e.g. identifying places mentioned in text; visual search to find similar images). Secondly, thinking of 'collections as data' and sharing datasets for research lets others find insights and inspiration.

Some of the value in AI might lie in the marketing power of the term - we've had the technical ability to view collections across silos for some time, but the institutional will might have lagged behind. Identifying the real gaps that AI can meet is hard, cross-institutional work - you need to understand what time-consuming work could be automated with ML/AI. Ciaran's talk gave a sense of the collaborative, co-creative effort required to understand actual processes and real problems and devise ways to optimise them. An 'anarchy' phase might be part of that process, and a roadmap can help set a shared vision as you work out where AI tools will actually save time or just create more but different work.

Glen gave some great examples of how IIIF can help organisations and researchers, and how AI tools might work with IIIF collections. He highlighted the intellectual property questions that 'open access' collections being mined for AI models raises, and pointed people to HaveIBeenTrained to see if their collections have been scraped.

I was struck by the delicate balance between maintaining trust and secure provenance while also supporting creative and playful uses of AI in collections. Labelling generative AI images and texts is vital. Detecting subtle errors and structural biases requires effort and expertise. As a sector, we need to keep learning, talking and collaborating to understand what generative AI means for users and collection holders.

The first question from the audience was about the environmental impact of AI. I was able to say that our work-in-progress principles for AI at the British Library ask people to consider the environmental impact of AI (not just its carbon footprint, but also water usage and rare minerals mining) in balance with other questions of public value for proposed experiments and projects. Ciaran said that Manchester have appointed a sustainability manager, which is probably something we'll see more of in future. There was a question about what employers are looking for in library and informatics students; about where to go for information and inspiration about AI in libraries (AI4LAM is a good start); and about how to update people's perceptions of libraries and the skills of library professionals.

Thanks to everyone at CILIP for all the work they put into the conference, and the fantastic AV team working in the keynote room at the Birmingham Hilton Metropole.