Singapore Management University School of Law’s Centre for AI and Data Governance using AI to predict population vulnerability for the elderly
With the rapid spread of the pandemic which has infected more than 14 million globally to date, the world is grappling with control measures to stop the virus from further proliferation.
Since 2018, the Paris Peace Forum (PPF) has brought together Heads of State, Government and international organizations with civil society and the private sector together to conceive new forms of collective action for global challenges. The third edition in 2020 themed “Bouncing back to a better world” will focus on projects and initiatives aimed at addressing COVID-19 and improving collective resilience of the world population.
Taking place in November 2020, international projects shortlisted by the PPF’s Selection Committee which comprises renowned experts from key institutions of global governance will receive support for upscaling along four dimensions, namely policy and advocacy; communication and visibility; partnerships and funding; and organisation.
The Singapore Management University (SMU) has responded to its Call for Projects with research initiatives currently undertaken by the SMU School of Law’s Centre for AI and Data Governance (CAIDG) and the School of Information Systems (SIS). These projects leverage the development of intelligent technology to improve social distancing measures and identification of vulnerable populations, which may be challenging to manage using physical human means.
Innovation from SMU School of Law’s Centre for AI and Data Governance
CAIDG’s research focuses on post-pandemic eldercare. Using AI and big data innovation, it will provide a diagnostic risk modeling tool that helps predict population vulnerability for the elderly, especially in low and middle-income countries. read more
Source: Singapore Management University