SISCMULiving Analytics is a new joint research initiative between Singapore Management University (SMU) and Carnegie Mellon University (CMU) to conduct research on behavioural and social network analytics and behavioural experiments so as to discover and harness the laws of information network evolution for networks of people, organisations and businesses. Read more about Research Priorities and Essence of Living Analytics.

Given its interdisciplinary nature, LARC involves faculty and students across the various academic units of SMU and CMU. Learn more about the faculty participating in LARC. The lead academic units coordinating the LARC partnership are the School of Information Systems at SMU and the Heinz College at Carnegie Mellon.

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Upcoming/Recent LARC Activities

5 Oct 2015 LARC Research Seminar on Modeling and Exploiting Review Helpfulness for Summarization by Diane LITMAN.
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6 – 9 Dec 2015 LARC & NTU-LILY IEEE/WIC/ACM Web Intelligence and Intelligent Agent Technology Conference 2015
(WI-IAT 2015), Singapore.
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3 – 7 Sep 2016 31st IEEE/ACM International Conference on Automated Software Engineering 2016 (ASE 2016),
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Latest News


Ask Tech in Asia: Has technology changed the Singapore General Election?
TechinAsiaTechnology removed restrictions on accessibility to media, making content generation much easier, sometimes even crowdsourced. The sheer number of online blogs can also be quickly gauged by looking at the number of news sources and articles built by a team of researchers from Living Analytics Research Centre, Singapore Management University for this General Election. Read More

Campaigning in Cyberspace
GE2015Social media has helped to generate interest and draw crowds to rallies during the 2011 election campaign but it is playing an even bigger role this time, with platforms such as Facebook, Twitter, WhatsApp, Instagram, and even news portals. At Singapore Management University, Professor of Information Systems and Director of Living Analytics Research Centre, Professor LIM Ee-Peng and his team has been monitoring the Twitter traffic of Singaporeans and netizens during the 2011 polls and the current campaign on how much attention paid to respective political user accounts and how netizens shared information via Twitter. Read More

GE2015 Analytics
GE2015Living Analytics Research Centre from Singapore Management University has developed an analytic software that aggregates General Election 2015 related content posts from more than 200 blogs. According to the current set of posts, the most discussed topics are “Campaigning”, “Cost of Living” and “Immigration”. View Video

LARC Bulletin – Issue 7, September 2015
LARC BulletinThe New Issue of our Newsletter – The LARC Bulletin (Issue 7, September 2015) is Now Out! Read More

General Election 2015 Analytics
GE2015GE2015 Analytics ( is a software system created for Singaporeans and others interested in the 17th General Election of Singapore. GE2015 Analytics aggregates all relevant blog and mainstream media posts from few hundreds sites in real-time, extracts politician names, party names, constituencies, and political issues as facets automatically, and supports a search interface using a faceted approach. The blogs were identified in collaboration with the Institute of Policy Studies (National University of Singapore). This system is developed by the Living Analytics Research Centre located in Singapore Management University. For any questions related to this system, please contact

WristSense 2015: Workshop on Sensing Systems and Applications Using Wrist Worn Smart Devices – Samsung Gear Best Paper Award
WristSense 2015Warmest congratulations to co-authors Archan MISRA (Deputy Director) and Vigneshwaran SUBBARAJU (LARC Research Engineer) on winning the Samsung Gear Best Paper Award at the WristSense 2015: Workshop on Sensing Systems and Applications Using Wrist Worn Smart Devices (co-located with IEEE PerCom 2015), in St. Louis, Missouri, USA, with their paper “The Case for Smartwatch-based Diet Monitoring.”

21th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2015) – Best Student Paper Award
KDD 2015Huge congratulations to Seth FLAXMAN, Yu-Xiang WANG, and Alex SMOLA on winning the Best Student Paper Award at the 21th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2015), in Sydney, Australia, with their paper “Who Supported Obama in 2012? Ecological Inference through Distribution Regression.”