Research funding in the Global North has become an increasingly competitive space where demonstrable real-world impact is paramount for any research proposal to have a realistic chance of being funded. As a multi-sector, multi-partner, inter-disciplinary research centre with a global focus, GDI Hub is well placed to influence the mission of research funders and to access a diverse and cross-disciplinary funding pool in order to further our mission.
The Hub is developing at pace to become the world’s leading research center on disability innovation. We have therefore adopted four research principles that any potential activities must encompass, that are in line with our overall vision, mission, and objectives. GDI Hub research projects must:
- Have disabled people at the center of the research project life cycle, from design to delivery
- Be ambitious and innovative in scope
- Be created with interdisciplinary teams, utilizing expertise from across GDI Hub partner
- Leverage international partnerships to maximize global reach
GDI Hub’s Academic Research Centre is led by our Academic Director at University College London (UCL).
We are very keen to have a mixture of academic and non-academic papers at this workshop therefore, we would like to invite additional contributions in the format of a social paper OR a standard 4-page CHI extended abstract. Social papers are maximum one page in length and act as a CV for networking. These can be submitted by anyone interested in the area of accessibility and gaming. We have extended the deadline to the 1st of October.
Fit-for-purpose, affordable body-powered prostheses is designing upper limb prostheses that are both low cost and fit for their purpose and circumstance. The project is funded through the Engineering and Physical Sciences Research Council (EPSRC) and National Institute for Health Research (NIHR) Global Challenges Research Fund.
A research project to understand how and when manual wheelchair users need and use power assistance and to determine if fuel cell technology is suitable for the power requirements of assistive technology, specifically wheelchairs.
Ongoing research where we have developed a new technique for wheelchair localisation and surface determination using a fusion of GPS/IMU information and machine learning. Data captured helps wheelchair users travel in a more effective ways and share data to demonstrate accessibility issues and encourage improvements.