Signing the Joint Laboratory Agreement for the establishment and management of the Joint Lab in Social and Human-Centred Computing were (seated, L-R) Professor Archan Misra, Vice Provost (Research), SMU, and Dr Lim Keng Hui, Executive Director, Social Sciences and Technology Horizontal Technology Programme Office and Institute of High Performance Computing, A*STAR. Both are Co-Directors of the SMU-A*STAR Joint Lab in Social and Human-Centred Computing. Witnessing the signing were (standing, L-R) SMU Provost Professor Timothy Clark, Mr Peter Ho, Chairman of the Social Science Research Council, and Professor Andy Hor, Deputy Chief Executive (Research), A*STAR.
SINGAPORE – The Singapore Management University (SMU) and the Agency for Science, Technology and Research (A*STAR) have established a Joint Lab in Social and Human-Centred Computing to build globally competitive research capabilities for Singapore to address people-centric issues in the human health and potential, and the urban solutions and sustainability domains. This multidisciplinary effort will harness complementary strengths from both organisations to conduct research that integrates social sciences and humanities disciplines with advances in computational intelligence and digital technologies. The joint lab will begin with two key research focus areas: computational social science, and human-AI synergy with a view to benefit policy-makers and social agencies, and enable the use of AI-based assistive technologies for human tasks. The capabilities developed are also relevant for industry interested in market research and understanding consumer opinion, or companies working in health and social care ranging from start-ups to multinational companies.
With a total investment of S$10 million, the joint lab will build capabilities and develop research outcomes and impactful tools that can be used to support Singapore’s public sector and industries. The joint lab will be led by co-directors Prof. Archan Misra, Vice Provost (Research), SMU, and Dr Lim Keng Hui, Executive Director of A*STAR’s Social Sciences and Technology Horizontal Technology Programme Office (SST HTPO) and the Institute of High Performance Computing (IHPC).
The joint lab was launched by Mr Peter Ho, Chairman of the Social Science Research Council (SSRC). SSRC serves as a focal point for efforts to develop talent and strengthen social science and humanities research that benefits social and economic development in Singapore and the Asian region.
Professor Timothy Clark, SMU Provost said, “The joint lab embodies both A*STAR’s and SMU’s aspiration to harness our mutual strengths to conduct research that integrates the social sciences and humanities disciplines with advances in digital technologies and computational tools. I am confident that we will be able to make multiple impactful contributions to Singapore’s Research, Innovation and Enterprise (RIE) 2025 agenda, promoting objectives such as social cohesion and successful ageing-in-place.”
Professor Andy Hor, Deputy Chief Executive (Research), A*STAR, said, “In the past, understanding human behaviour helped companies design better interfaces for technology applications. Today, we want to understand or even anticipate human behaviour by leveraging computational methods and AI for deeper insights at the individual, group and societal levels. The SMU-A*STAR joint lab combines our complementary research strengths to advance interdisciplinary R&D that can address national priorities.”
Advancing Research in Computational Social Science and Human-AI Synergy
The first research area, computational social science, will focus on people-centric issues in adaptability, resilience, and social cohesion. This involves using computational methods to understand the factors that could affect people’s adaptability and resilience to different situations and challenges; examining the extent to which digital content (e.g. news and social media) could lead to diverging opinions and conflict among different groups of people; and exploring novel ways to identify communities of humans with deep similarities or differences in latent values or worldviews.
The second area of research in human-AI synergy will develop AI technologies that address real-life problems in ways that exceed the capabilities of AI or humans alone, and realise interactive, intelligent systems that can serve people better. A key idea in this pillar is to harness human-AI synergy to tackle real-life tasks by judiciously combining human capabilities with AI-enhanced technologies for situational understanding and assistance. Some of the initial workstreams include developing human-aware AI to assist the elderly in activities of daily living, automate wellness measures for ageing in place, as well as provide interactive digital tools for engaging seniors and promoting active living.
Other potential research areas for the joint lab include adaption to changes at work and work re-design, effective learning and transfer of skills, understanding social and psychological capital, and sustainable living amidst evolving environmental and economic challenges.
Combining Multi-disciplinary Research Capabilities for Impactful Outcomes
In computational social science, SMU’s expertise in social and behaviour sciences will be combined with A*STAR IHPC’s expertise in the integration of social science with computational modelling to create new knowledge and innovative solutions. Both organisations will also harness their collective strengths in social media analysis, social psychology, network analysis, natural language processing, and AI, as well as extensive experience in research into diverse societal challenges such as media bias, polarisation and fake news across many online platforms and regions.
For human-AI synergy, A*STAR’s Institute for Infocomm Research (I2R), IHPC and SMU will combine their expertise in AI, particularly natural language processing, computer vision and cognitive AI, to develop more advanced AI algorithms for human-intent comprehension through natural verbal, visual and gestural cues. In addition, their expertise in edge computing allows the execution of more efficient AI models on small, mobile devices to enable real-time interaction and collaboration between humans and AI systems. These collective expertise in human-computer interaction will contribute to the design of human-machine interfaces to make their interactions more natural and effective in out-of-the-lab settings.
Media Release_SMU-ASTAR Joint Lab in Social and Human-Centred Computing_26 Apr 2022_FINAL.pdf
Originally published at https://news.smu.edu.sg/news/2022/04/26/new-smu-astar-joint-lab-social-human-centred-computing-tackle-national-challenges
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