Mobile Crowdsourcing for Smart City Services
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Speaker (s):
Thivya KANDAPPU
Postdoctoral Research Fellow,
Living Analytics Research Centre,
Singapore Management University
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Date:
Time:
Venue:
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June 19, 2018, Tuesday
10:30am - 12:00pm
Meeting Room 5.1, Level 5
School of Information Systems
Singapore Management University
80 Stamford Road
Singapore 178902
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ABSTRACT
In this talk, I will present a high-level vision and real-world examples of mobile crowdsourcing for designing and building context-aware smart urban services. I will first describe the centrally orchestrated crowdsourcing model, where the crowdsourcing platform proactively recommends tasks based on an individual user’s predicted movement trajectory, and differentiate it with the conventional decentralized model, where individual users choose from the full set of available tasks in an opportunistic manner. I will then describe a series of behavioral experiments conducted and insights gained from real-world applications of two crowdsourcing platforms: (i) TASKer: smart campus monitoring platform and (ii) HelpBuddy: real-time municipal services monitoring application. I will also describe the opportunities and operational challenges (e.g., privacy) involved in making mobile crowdsourcing an integral part of “Smart City” applications.
About the Speaker
Thivya KANDAPPU is a Postdoctoral Research Fellow in the Living Analytics Research Centre, Singapore Management University. Her research focuses on designing, building and evaluating urban computing applications and systems, embracing topics such as crowdsourcing, smart cities and community engagement. Thivya received her PhD from the University of New South Wales, Australia, in 2014 and Bachelor of Engineering degree from the University of Moratuwa, Sri Lanka, in 2009. She is the recipient of Heidelberg Laureate Fellowship 2018 and Honorable mention (top 5%) for the best paper award at CSCW 2016 and COMSNETS 2014.
