Events

Harnessing the Power of Crowd for Human-Centered Computing and AI Systems​

Harnessing the Power of Crowd for Human-Centered Computing and AI Systems Speaker Prof. Dong Wang, Professor, School of Information Sciences at the University of Illinois at Urbana Champaign (UIUC) Chaired byDr Lee Yi-Chieh, Assistant Professor, School of Computing 12 Dec 2025, 2:00 PM to 3:30 PM SR7, COM1-02-07 Abstract:The advent of online social media, the […]

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Workshop on Dependencies, Partnerships & Digital Bridges – Reimagining Cooperation between Europe and the Global South​

Workshop on Dependencies, Partnerships & Digital Bridges – Reimagining Cooperation between Europe and the Global South 01 December 2025, 09:00 am – 12:30 pm Online (Zoom) Registration link: Webinar Registration – Zoom Co-Organisers: German Federal Foreign Office; German Embassy in Singapore; Digital Transformation Lab (DigiTraL) of the German Institute for Global and Area Studies (GIGA);

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Awareness and Autonomy in Sociotechnical Systems

Awareness and Autonomy in Sociotechnical Systems Speaker Prof. Karrie G. Karahalios, Professor, MIT Media Lab Chaired byDr LEE Yi-Chieh, Assistant Professor, School of Computing 21 November 2025, 2:00 PM to 3:30 PM SR21, COM3 02-60 Abstract:Sociotechnical systems enable large-scale connection and the dissemination of timely, engaging information. However, these systems are shaped by complex, often

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AI Voice in Online Video Platforms: A Multimodal Perspective on Content Creation and Consumption

AI Voice in Online Video Platforms: A Multimodal Perspective on Content Creation and Consumption Speaker Assistant Professor Mi Zhou, University of British ColumbiaChaired byAssociate Professor Qiao Dandan, School of Computing 5 September 2025, 10:30 AM – 12 PM COM1-02-13, Video Conference Room Abstract:Major user-generated content (UGC) platforms like TikTok have introduced AI-generated voice to assist

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NUS CSSH Research Symposium

NUS CSSH Research Symposium 29 July – 30 July 2025 LT 52, Level 2, Stephen Riady Centre, 2 College Avenue West We are excited to announce that the Centre for Computational Social Science and Humanities (CSSH) at NUS will be hosting its Inaugural Research Symposium on July 29–30, 2025! This one-of-a-kind event will bring together

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The Changing Agricultural Ecosystems in Southeast Asia

Speaker: Assistant Professor Xiangzhong (Remi) Luo 28th April 2025 3pm to 4.30pm AS7 06-42, FASS Shaw Foundation Building, Research Division Seminar Room (or Zoom) Register In person or Zoom Abstract:Since the late 20th century, Southeast Asia has emerged as a global hotspot for land use and land cover change, marked by widespread deforestation in favour of agricultural

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Combining Machine Learning with Econometric Analysis

Speaker: Prof. Mochen YANG (University of Minnesota) 21 March 2025, Friday | 10:30am – 12pm (SGT) Zoom (Click here to register!) Abstract:Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empiricalstrategy uses predictive modeling techniques to “mine” variables of interest from available data, then includes those variables

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Social Media and Well-being: Impact of TikTok on Screentime and Sleep Patterns​

Speaker: Dr Saharsh Agarwal, Assistant Professor, Indian School of BusinessChaired by: Dr CHEN Nan, Assistant Professor, School of Computing 12 Feb 2025, Wednesday, 10:30 AM to 12:00 PM SR3, COM1-02-12 Abstract:In this paper, we investigate the behavioral changes associated with TikTok adoption, focusing on its impact on screen time, nighttime phone usage, sleep patterns, and

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Combining Machine Learning with Econometric Analysis

Speaker: Prof. Mochen YANG,  Date: 20 November 2024, Wednesday, 10:00 am -11:30 am (SG Time) Venue: Zoomhttps://nus-sg.zoom.us/j/88968866545?pwd=ZPJzciamBGg41VVNc4zQxOS0W9pVcW.1Meeting ID: 889 6886 6545Passcode: 506223   Abstract: Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy uses predictive modeling techniques to “mine” variables of interest from available data,

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