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Fantastic Futures 2024 presentation

Closing the loop: integrating enriched metadata into collections platforms The AI4LAM community calls and annual Fantastic Futures conferences present a rich picture of the many ways that people are using AI and machine learning to enhance collections records. But what happens to the data generated by these projects? Ingesting enhanced data appropriately and responsibly into […]

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DH2024 poster: Treasures on an island? Challenges for integrating volunteer and AI-enriched metadata into GLAM systems

We present original research from a survey of projects currently seeking to integrate enriched data with GLAM systems.

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DH2023 talk online

Challenges, opportunities, and recommendations for the future of crowdsourcing in cultural heritage This video features the presentation "Challenges, opportunities, and recommendations for the future of crowdsourcing in cultural heritage: a White Paper" by Mia Ridge, Meghan Ferriter and Samantha Blickhan, presented at the ADHO Digital Humanities Conference 2023 (#DH2023) in Graz, which was hosted by […]

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Integrating enriched metadata into collections platforms

What happens to data enriched by crowdsourcing, machine learning/AI, or a combination of methods? We ran a survey from March 20 to April 30 2024 to help find out. We were interested in the barriers and successes for projects trying to incorporate enriched data into collections systems (such as catalogues or discovery platforms). We're analysing […]

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AI4LAM talk: Reality bytes – what happens to crowdsourced / AI data?

We're presenting on the AI4LAM Community Call for April 2024. Reality bytes: What happens after your crowdsourcing or AI projects? Our abstract: There's a long history of successful crowdsourcing projects around the world. However, many of these projects struggle with a critical, final aspect of their project: integrating data created or enriched by online volunteers […]

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Survey: integrating volunteer and AI-enriched metadata into collections systems

What happens to data enriched by crowdsourcing, machine learning/AI, or a combination of methods? [Update – early results are shared at Integrating enriched metadata into collections platforms] We are conducting a study that explores projects' successes and challenges in incorporating enriched data into catalogues or other core digital collections platforms in libraries, museums and archives. We're […]

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New Release: Collective Wisdom White Paper

We are delighted to share with you our Collective Wisdom White Paper focused on 5 core recommendations. This White Paper draws on the collaboratively-written Collective Wisdom Handbook: Perspectives on crowdsourcing in cultural heritage (the Handbook), and two follow-up workshops on ‘advanced questions for crowdsourcing in cultural heritage and the digital humanities’, in addition to the […]

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References for our Collective Wisdom Handbook

We were asked about our references recently, so thought a general post might help others looking for articles, projects and other information we cited in The Collective Wisdom Handbook: Perspectives on Crowdsourcing in Cultural Heritage. Our references are published as part of the online Handbook. While you can download or view them there, you might […]

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How have you used the Collective Wisdom Handbook?

In the now more than two years(!) since we kicked off our Book Sprint in March 2021, we have had wonderful experiences among our team of authors using the Collective Wisdom Handbook to create new crowdsourcing projects as well as teach and communicate about crowdsourcing via workshops, presentations, etc. In order to get a better […]

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Case studies in the Collective Wisdom Handbook

A working document from our book production process that might be a useful index to find specific case studies within the final book. Chapter title Case Study Title Topics/Coverage Projects Mentioned Choosing Tasks and Platforms Case Study: Concordia/By the People design principles Values-led design By the People program at the Library of Congress Choosing Tasks […]

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