LARC Workshop on Smart Nation Through AnalyTics (SNAT)


 
 


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We would like to invite you to join our Workshop on Smart Nation Through AnalyTics (SNAT)
Block your calendar and register as soon as possible.
5 December 2015 (Saturday)

9:05 am - 1:30 pm
(Registration starts at 8:45am)

Mochtar Riady Auditorium, Level 5
Administration Building
Singapore Management University
81 Victoria Street
Singapore 188065

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Note: About 20 demos and posters will be featured in the workshop. We welcome you to interact with our researchers.
Programme  
8:45 am Registration
9:05 am Welcome Address
Steven MILLER
Dean, School of Information Systems,
Professor of Information Systems (Practice), Vice Provost (Research)
Singapore Management University
9:10 am Opening Address
Mr TAN Kok Yam
Head, Smart Nation Programme Office
9:25 am Keynote: Collaborative Human Computation for Societal Scale Challenges
Jaideep SRIVASTAVA
Director of Research, Social Computing, QCRI
Professor of Computer Science
University of Minnesota
10:10 am Refreshment and Networking
10:25 am Job and Skill Analytics
LIM Ee-Peng
Director of LARC
Professor of Information Systems
Singapore Management University

Richard OENTARYO
Research Scientist
School of Information Systems
Singapore Management University
10:50 am Event and Social Feedback Mining
JIANG Jing
Assistant Professor of Information Systems
Singapore Management University
11:15 am Urban Crowdtasking
Archan MISRA
Associate Dean (Research)
Associate Professor of Information Systems
Singapore Management University
11:40 am Healthy Dining
Steven HOI
Associate Professor of Information Systems
Singapore Management University

Palakorn ACHANANUPARP
Research Scientist
School of Information Systems
Singapore Management University
12:05 pm Smart Mobility
ZHENG Baihua
Associate Professor of Information Systems
Singapore Management University
12:30 pm Networking Lunch, Posters and Demonstrations
1:30 pm End of Event

Collaborative Human Computation for Societal Scale Challenges

Speaker

Jaideep SRIVASTAVA

Jaideep SRIVASTAVA
Director of Research, Social Computing, QCRI
Professor of Computer Science
University of Minnesota

Abstract

Today's technology allows citizens to be far more participatory in societal affairs. Specifically, people post information about daily events on public social media such Twitter and Instagram, or on private ones like Facebook and WhatsApp. This creates a wealth of information, which if tapped properly, can lead to novel solutions to a wide range of societal-scale problems, including traffic, emergency response, monitoring and management of sports and other events, crime fighting and surveillance, and disaster management. In this talk we describe QCRI's experience in building and operating a system which uses citizen generated social media data, to extract information which can help better solve such problems. The information processing technique is a hybrid of human effort and computational techniques, a sort of 'Collaborative Human Computation'. This system has shown success in diverse areas such as coordination of humanitarian response to natural disasters, identification of terrorist threats at events, and improved traffic management. One could call this approach as 'citizen generated information driven collaborative human computation for societal-scale problem solving'.

About the speaker

Jaideep SRIVASTAVA is the Director of the Social Computing division at QCRI. He is on leave from the University of Minnesota, where he directs a laboratory focusing on research in Web Mining, Social Analytics, and Health Analytics. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), has been an IEEE Distinguished Visitor, and is a Distinguished Fellow of Allina's Center for Healthcare Innovation. He has been awarded the Distinguished Research Contributions Award of the PAKDD, for his lifetime contributions to the field of data mining. Six of his papers have won best paper awards.

Dr. SRIVASTAVA is currently co-leading a multi-institutional, multi-disciplinary project in the rapidly emerging area of social computing (http://vwobservatory.com/). He has significant experience in the industry, in both consulting and executive roles. He was the data mining architect at Amazon.com (www.amazon.com), built a data analytics department at Yodlee (www.yodlee.com), and served as the Chief Technology Officer for Persistent Systems (www.persistentsys.com). He is the Co-Founder and Chief Scientific Officer of Ninja Metrics (www.ninjametrics.com), which brings his research in social analytics to the commercial world. He is an adviser to CogCubed (www.cogcubed.com), an innovative company whose goal is to revolutionize the diagnosis and therapy of cognitive disorders through the use of online games, to LeadId (www.leadid.com), the market leader in cross-industry lead management, and to Kipsu (http://kipsu.com/), which is providing an innovative approach to improving service quality in the hospitality industry.

Dr. SRIVASTAVA has held distinguished professorships at Heilongjiang University and Wuhan University, China. He has held advisory positions with the State of Minnesota, and the State of Maharashtra, India. He is a technology advisor to the Unique ID (UID) project of the Government of India, whose goal is to provide biometrics-based social security numbers to the 1.2 Billion citizens of India. Dr. SRIVASTAVA has delivered invited talks in over 30 countries, including more than a dozen keynote addresses at major international conferences. He has a Bachelors of Technology from the Indian Institute of Technology (IIT), Kanpur, India, and MS and PhD from the University of California, Berkeley.

Job and Skill Analytics

Speakers

 

Ee-Peng LIM

LIM Ee-Peng
Director of LARC
Professor of Information Systems
Singapore Management University

 

Richard OENTARYO

Richard OENTARYO
Research Scientist
School of Information Systems
Singapore Management University

About the speakers

Ee-Peng LIM is a Professor of Information Systems at the Singapore Management University. He is also the SMU Director of Living Analytics Research Centre (LARC) funded by the IDMPO Office of MDA. He has a PhD in Computer Science from the University of Minnesota. His research interests include social network mining, multi-databases, and digital libraries.

He currently serves on the ACM Publications Board and the Editorial Boards of several international journals including ACM Transactions on Information Systems, IEEE Intelligent Systems, Information Processing and Management Journal, and Journal of Web Engineering. He has published more than 250 research papers. He was the General Co-Chairs of the 2011 International Conference on Social Informatics and 2012 Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD). Ee-Peng Lim is also an IEEE Senior Member.

Richard OENTARYO is a Research Scientist at the Living Analytics Research Centre (LARC), School of Information Systems, Singapore Management University (SMU). Formerly, he was a Research Fellow at LARC and, prior to that, at the School of Electrical and Electronic Engineering, Nanyang Technological University (NTU). He received Ph.D. and B.Eng. (First Class Honour) degrees from the School of Computer Engineering (SCE), NTU, in 2011 and 2004 respectively. Dr. Oentaryo is a member of the Association for Computing Machinery (ACM) and Institute of Electrical and Electronics Engineers (IEEE). He has published his works in numerous international journals and conferences, and received awards such as the IES Prestigious Engineering Achievement Award in 2011, IEEE-CIS Outstanding Student Paper Travel Grant in 2006 and 2009, and ITMA Gold Medal cum Book Prize in 2004.

Event and Social Feedback Mining

Speaker

JIANG Jing

JIANG Jing
Assistant Professor of Information Systems
Singapore Management University

About the speaker

JIANG Jing is an Assistant Professor in the School of Information Systems at the Singapore Management University. She received her Ph.D. degree in 2008 from the Department of Computer Science at the University of Illinois at Urbana-Champaign, under the supervision of ChengXiang Zhai. Prior to that, she obtained her B.S. and M.S. degrees, both in Computer Science, from Stanford University in 2002 and 2003, respectively.

Urban Crowdtasking

Speaker

Archan MISRA

Archan MISRA
Associate Dean (Research)
Associate Professor of Information Systems
Singapore Management University

About the speaker

Archan MISRA is currently an Associate Professor of Information Systems at Singapore Management University (SMU), a Director of the LiveLabs Urban Lifestyle Innovation Platform and a Deputy Director of the LARC. His current research interests are in pervasive computing & mobile systems, with specific focus on energy-efficient mobile analytics, activity recognition, indoor localization and context-based mobile applications. Over the past 12 years, he has published extensively in the areas of pervasive computing, wireless networking and sensor data management and is a co-author on papers that received the Best Paper awards in EUC 2008, ACM WOWMOM 2002 and IEEE MILCOM 2001. He is presently on the Editorial Boards of the IEEE Trans. on Mobile Computing and the Elsevier Journal of Pervasive and Mobile Computing. Archan holds a Ph.D. in Electrical and Computer Engineering from the University of Maryland at College Park.

Healthy Dining

Speakers

 

Steven HOI

Steven HOI
Associate Professor of Information Systems
Singapore Management University

 

Palakorn ACHANANUPARP

Palakorn ACHANANUPARP
Research Scientist
School of Information Systems
Singapore Management University

About the speakers

Steven HOI is an Associate Professor in the School of Information Systems (SIS), Singapore Management University (SMU), Singapore. Prior to joining SMU, he was a tenured Associate Professor at the School of Computer Engineering of the Nanyang Technological University (NTU), Singapore. He received his Bachelor degree from Tsinghua University, and his Master and Ph.D degrees from the Chinese University of Hong Kong. His research interests include large-scale machine learning with application to tackling big data analytics challenges across a wide range of real-world applications, including multimedia retrieval, social media, web search and information retrieval, computer vision and pattern recognition, computational finance, cyber security, mobile and software data mining, etc. He has published over 100 papers in premier conferences and journals, and served as an organizer, area chair, senior PC, TPC member, editors, and referee for many top conferences and premier journals.

Palakorn ACHANANUPARP s a Research Scientist at the Living Analytics Research Centre (LARC). His research interests include identifying interesting user behaviors and studying communities of users with opposing stances in online social networks. Currently, he collaborates with a handful of engineers on a not-so-secret social analytics project.

Smart Mobility

Speaker

ZHENG Baihua

ZHENG Baihua
Associate Professor of Information Systems
Singapore Management University

About the speaker

ZHENG Baihua received her PhD from the Department of Computer Science, Hong Kong University of Science & Technology, under supervision of Prof. Dik Lun Lee. She currently is a faculty member of the School of Information Systems, Singapore Management University. Her research interests are Mobile/Pervasive Computing, Spatial Databases.

 
 

 
 
 
  LARC is supported by the Singapore National Research Foundation under its International Research Centre @ Singapore Funding Initiative and administered by the IDM Programme Office, Media Development Authority (MDA).  

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