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

 
 
30 Apr – 2 May 2015 LARC-Sponsored International Conference: SIAM International Conference on Data Mining (SDM 2015),
Vancouver, British Columbia, Canada.
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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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Latest News

 

Ready for the Smart Life?
Ready for the Smart life?In a vision for a Smart Nation spelt out by PM LEE Hsien Loong, individuals, governments and businesses will work via a nationwide, integrated use of data analytics, sensor networks, information communication and phone apps.

SMU Director of Living Analytics Research Centre Professor LIM Ee-Peng notes that Singapore’s small size is an advantage for the speedy deployment of infrastructure, supporting our efforts to become a smart city. Read More

National Infocomm Awards 2014
National Infocomm Awards 2014Jointly organised by the Infocomm Development Authority of Singapore (IDA) and the Singapore infocomm Technology Federation (SiTF), the National Infocomm Awards (“NIA”) is Singapore’s highest accolade for infocomm innovation. This year, Singapore is gearing up to be the world’s first Smart Nation, building on the achievements of the intelligent Nation 2015 (iN2015) masterplan. A team of students from SIS will be representing SMU with their project on public transport. Read More

Making Sense of Social Media
SMU ResearchProfessor LIM Ee-Peng from the SMU School of Information Systems turns Twitter noise into useful and informative data. One application that most people might be familiar with is personalised search. Professor LIM cited the example of the search engine Google, which has used extensive data analytics to refine and customise its system such that searches are not only powerful but also personalised using social media signals. Prof LIM remarked that social media can also improve recommendations for products and services, while allowing us to find the best way to navigate around a new city. Read More

Theme Park Navigation Applications
NRFProfessor LAU Hoong Chuin, Mr FAN Chun Pong and Ms Elizabeth LIM from the Singapore Management University’s Living Analytics Research Centre have developed two mobile applications to enhance visitors’ experience in a large leisure setting such as a theme park or museum. The first application is a dynamic route planner that provides visitors with an itinerary based on personal preferences, queues and walking distance and the second application is designed for Android devices, comprising functions such as visitor itinerary and live map for navigation. Read More

Best Paper of Bayesian Analysis
SMU ResearchHuge congratulations to Michael FINEGOLD and Mathias DRTON whose paper on “Robust Bayesian Graphical Modeling Using Dirichlet t-Distributions” was invited by the Editor-in-Chief of Bayesian Analysis to be presented as the 2014 Best Bayesian Analysis Paper at the Twelfth World Meeting of the International Society for Bayesian Analysis (ISBA2014), held in Cancun, Mexico. Read More

LARC Bulletin – Issue 5, September 2014
LARC BulletinThe New Issue of our Newsletter – The LARC Bulletin (Issue 5, September 2014) is Now Out! Read More
 
 

Winners of Phase 1.5 DSM Sales Forecasting Challenge
DSMAnother heartfelt congratulations to David LOW Jia Wei and Richard Jayadi OENTARYO for winning Phase 1.5 of the DSM Sales Forecasting Challenge, involving more comprehensive datasets with full, un-anonymized data including electronics as well as all the other segments.
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Text Mining: The Gold Rush Of Big Data
Asian ScientistEvery second, troves of information are generated on social media channels such as Twitter and Facebook. But the majority of this data cannot be analysed meaningfully, because it is complex and difficult to understand.

According to IBM, 95 percent of digital data generated daily is unstructured. Referring to content from social media or the Internet, unstructured data presents an opportunity for businesses and governments to predict human behaviour and map influencer networks. Such data is growing at double the rate of traditional data, which is stored in databases and commonly accessed by a structured query language. Read More

LARC Research Exhibition: Better Living Through Analytics
SMU ResearchA brainchild of SMU and Carnegie Mellon University, the Living Analytics Research Centre (LARC) held an exhibition at the SMU Concourse on 26 March 2014. Themed “Better Living Through Analytics”, the exhibition featured its latest research on behavioural and social analytics. The full-day event attracted a steady flow of visitors including LARC’s industry partners, as well as representatives from companies and government agencies such as the National Research Foundation, Economic Development Board, Ministry of Home Affairs, and National Environment Agency. Read More

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