Publications

Our recent one-day workshop brought together a diverse group of stakeholders to examine the challenges and opportunities in wheelchair repair services. By engaging multiple perspectives, we gained valuable insights into how improved repair processes can enhance service delivery, empower users, and support sustainability efforts.

Key discussions focused on the urgent need to address data gaps in repair practices, promote user involvement, and shift towards systems that prioritise repair and maintenance. Innovative ideas, such as creating digital profiles for wheelchairs and using AI to predict breakdowns, were explored as ways to streamline repair services and improve user autonomy.

Going forward, collaboration between manufacturers, healthcare providers, and users will be essential to building a more sustainable, user-centred approach to wheelchair repairs.

Read the full report to learn more about the ideas and strategies shared during the workshop.

Our recent one-day workshop brought together a diverse group of stakeholders to explore the critical role of repair in the assistive technology sector. Through a range of perspectives, we uncovered valuable insights into how repair can drive sustainability, improve service delivery, and empower users.

Key discussions centered on the urgent need for a systemic shift toward more repairable and modular designs alongside regulatory changes and innovative frameworks that support efficient repair services. We also highlighted the importance of better data on repair practices and the need for transparency and user engagement.

As we look ahead, the conversation must include all stakeholders, particularly the users themselves. This collaborative approach will be vital to building a more sustainable and repairable future for assistive technology.

Read the full report to learn more about the insights and strategies shared during the workshop.

This report was prepared by Global Disability Innovation (GDI) Hub for the Disability Unit in the Cabinet Office His Majesty’s Government (HMG). The report presents findings from a Country Capacity Assessment (CCA) of AT access in England. Findings illustrate a complex state of AT in England. While delivery systems tend to provide quality products that have a strong, positive impact on people’s lives, processes are often slow and stressful for users and providers alike. Startlingly, there is also an AT access gap of 31% of disabled people not having the assistive products they need to flourish, thrive, or even participate in daily life.

This paper starts by synthesising how AI might change how we learn and teach, focusing specifically on the case of personalised learning companions, and then move to discuss some socio-technical features that will be crucial for avoiding the perils of these AI systems worldwide (and perhaps ensuring their success). This paper also discusses the potential of using AI together with free, participatory and democratic resources, such as Wikipedia, Open Educational Resources and open-source tools. We also emphasise the need for collectively designing human-centered, transparent, interactive and collaborative AI-based algorithms that empower and give complete agency to stakeholders, as well as support new emerging pedagogies.

The informational needs of people are highly contextual and can depend on many different factors such as their current knowledge state, interests and goals [1, 2, 3]. However, an effective information retrieval companion should minimise the human effort required in i) expressing a human information need and ii) navigating a lengthy result set. Using topical representations of the user history (e.g. [4]) can immensely help formulating zero shot queries and refining short user queries that enable proactive information retrieval (IR). While the world has digital textual information in abundance, it can often be noisy (e.g. extracted through Automatic Speech Recognition (ASR), PDF text extraction etc.), leading to state-of-the-art neural models being highly sensitive to the noise producing sub-optimal results [5]. This demands denoising steps to refine both query and document representation. In this paper, we argue that Wikipedia, an openly available encyclopedia, can be a humanly intuitive knowledge base [6] that has the potential to provide the world view many noisy information Retrieval systems need.

This article was featured in Nature and discusses tools that help visually impaired scientists read data and Journals. Innovation Manager, Daniel Hajas, was interviewed as part of this piece and highlights the need for an ecosystem approach, and access to data / visualisations for blind members of the research and science community.