2. Inquire

Generate new evidence & insights.

We answer critical research questions and develop foundational methodologies, addressing intersectional challenges and research and evidence gaps. Led by GDI Hub at University College London, with academic and community partners globally, this cluster will answer critical research questions and develop foundational methodologies to support the evidence base for best practices in assistive technology provision in low- and middle-income countries. 

Sub-Programmes

  • Data and Evidence Portal: Our Data and Evidence portal combines research from the Rapid Assessments of Assistive Technology and various global studies. The portal aims to improve access to life-changing assistive technology for all by providing access to data and evidence for government policymakers, INGOs, OPDs, and specialised agencies, enabling informed, evidence-based decisions.
  • What Works: Wrap around, programme wide research across the entirety of the AT2030 programme using an interactive, responsive methodology which builds realist analysis to identify the underlying generative causal mechanisms that explain how outcomes were caused and how context influences these outcomes and is designed for programmes that are complex.
  • Mobile & Emerging Technology: Mobile and emerging technologies are enhancing assistive devices with features like text-to-speech and eye-gaze control, improving accessibility. The ‘Mobile as AT’ project has influenced mobile phone developers to improve accessibility and is informing other programmes, such as FCDO’s AI for Development (AI4D). Building on this learning, the Centre for Digital Language Inclusion (CDLI), co-funded by Google.org, is now harnessing the power of AI and the potential of communication solutions to change lives. The CDLI is developing inclusive solutions for people with communication difficulties and trains people how to use them. They are collecting datasets of non-standard speech to build Automatic Speech Recognition models, enabling disabled people with communication barriers to take advantage of Automatic Speech Recognition software.

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