We use cookies on this website to collect anonymous usage statistics. By clicking "Accept", you are giving your consent for us to set cookies.
For more information, please see our Privacy Policy.

Decline Accept

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.
  • What Works: The What Works project focuses on research related to the AT2030 programme, aiming to answer specific questions and gather insights.
  • Mobile & Emerging Technology: Mobile and emerging technologies are enhancing assistive devices with features like text-to-speech and eye-gaze control, improving accessibility. However, questions persist about the effectiveness of mobile devices as assistive technology.
  • Fellowship Programme: Our Fellowships programme will accelerate emerging talent, helping to answer key research questions.

Latest

  • Bridging the Mobile Disability Gap: advancing access and use of mobile as assistive technology

    GSMA
    Dec. 4, 2025
    10am GMT

    Explore the power of mobile driven inclusion, as we welcome researchers, innovators and the mobile industry to reflect on the future of mobile, the Mobile Disability Gap, and how a Mobile as Assistive Technologies can change lives. Accessible digital products and services are progressing at pace, yet this means little if people with disabilities are unable to access mobile phones, the data to power services, or the skills to maximise use. Getting internet-enabled, accessible first devices into people’s hands and supporting their application matters. In this session leading researchers from GMSA and the Global Disability Innovation Hub (GDI Hub) will share new evidence and insights.

    Register

  • ASR Kenya

    Global Disability Innovation Hub
    Nov. 17, 2025
    Kenya

    The Centre for Digital and Language Inclusion (CDLI) has finalised the second phase of its groundbreaking initiative to develop inclusive Automatic Speech Recognition (ASR) systems for individuals with non-standard or impaired speech in African languages. This effort aims to close the digital divide for people with speech impairments and marks a major milestone following a successful pilot in Ghana.

  • Mumbai, India. Prime Minister Keir Starmer and Indian Prime Minister Narendra Modi look at carpets while arriving at JioWorld Fintech conference at the Bandra Kurla Complex. Picture by Simon Dawson / No 10 Downing Street Cover Image

    UCL joins UK Prime Minister India visit and unveils new technology collaborations

    UCL
    Oct. 10, 2025
    India, United Kingdom

    UCL President & Provost Dr Michael Spence has joined UK Prime Minister Sir Keir Starmer’s first official visit to India this week, advancing UCL’s strategic collaborations across technology and innovation.

    Publisher Link
  • A poster of the Automatic speech recognition and voice cloning session Cover Image

    Empower Conference: Automatic Speech Recognition & Voice Cloning

    Global Disability Innovation Hub, Richard Cave
    Oct. 3, 2025
    India

    Change or loss of natural voice is likely for many people living with progressive neurological conditions such as MND/ALS, Parkinson’s Disease, MSA, PSP and many others. Also, for people living with the effects of head and neck cancer, trauma. And for many others, they may have never had natural voice to communicate with, for example some people with cerebral palsy. Is this situation, text to speech (or picture to speech) apps are sometimes used, using a synthesised voice that frequently sounds very different to how a person sounded or should be represented.

  • Sex and Gender in AT2030 V2 funded projects Involving Primary Data cover page Cover Image

    Sex and Gender in AT2030 V2 funded projects Involving Primary Data

    Dr Dilisha Patel, Elizabeth Mc Guinness
    Sept. 30, 2025
    Global
    Academic Research Publications

    The UK International Development funded AT2030 programme, which focuses on improving access to Assistive Technology (AT) across more than 40 countries, has reached over 37 million people till the end of AT2030 V2. As AT2030 enters its third phase (v3), an evaluation of its past work from 2019-2024 (v2) highlights the need for improved inclusion of sex and gender-disaggregated data in its research outputs.

    PDF