University of Macau
Title: Big Data and IoT Applications: Fast and Glorious
Vast amounts of data ranging from business data to operational data are readily available nowadays. By the advances of data collection technologies, data volume continues to grow, decision makers can gain deeper insight and farther foresight into their customers, employees, business processes, even the complexities of the markets and economy. However, the full potentials of big data have not been unleashed yet by most companies and users. Companies that have a good grasp of big data analytics will have an edge in harvesting business intelligence advantages which are essential in making the right decisions, boosting revenue and long-term growth. In this big data era, corporate executives opt for data-driven insights for strategic decisions support and invest into big data innovative applications. In this keynote speech, the latest big data analytics, on products, services and applications, would be introduced, analysed and discussed. This talk allows the participants to expose to the first-hand information about big data innovations, that come from the speakers’ industrial experiences from the government and agency’s big data projects. Participants will get to identify the underlying components of big data mining and big data analytics that are meant to support the innovative applications. Cases of big data mining and IoT would be elaborated along.
Associate Professor Simon Fong graduated from La Trobe University, Australia, with a 1st Class Honours BEng. Computer Systems degree and a PhD. Computer Science degree in 1993 and 1998 respectively. Simon is now working as an Associate Professor at the Computer and Information Science Department of the University of Macau. He is a co-founder of the Data Analytics and Collaborative Computing Research Group in the Faculty of Science and Technology. Simon took up various managerial and technical posts, such as systems engineer, IT consultant and e-commerce director in Australia and Asia. He has published over 432 international conference and peer-reviewed journal papers, mostly in the areas of data mining, data stream mining, big data analytics, meta-heuristics optimization algorithms, and their applications. Simon serves as Vice-chair of IEEE Computational Intelligence Society (CIS) Task Force on “Business Intelligence & Knowledge Management”, and Vice-director of International Consortium for Optimization and Modelling in Science and Industry (iCOMSI).
Wee Kim Wee School of Communication and information
TITLE: Gaming the System: How Useful are Crowdsourcing Games?
Crowdsourcing harnesses the skills and expertise of online users to solve problems and perform
tasks. In addition to relying on volunteers or paying human experts, computer games are a promising
means to attract participants for crowdsourcing projects. Such games capitalize on people’s desire
for entertainment, making crowdsourcing fun and engaging, thus fostering participation.
Nevertheless, there are challenges associated with game-based approaches for crowdsourcing since
they have to meet the twin goals of entertaining users and producing quality output. A game that
focuses too much on entertainment may result in users losing sight of the underlying crowdsourcing
purpose, while conversely, a game that dwells on the crowdsourcing task may not be fun enough to
This talk discusses the opportunities and challenges in the design and deployment of crowdsourcing
games. It will first present the motivations for blending games into crowdsourcing tasks. Next,
studies pertaining to crowdsourcing games are described to show how users perceive and respond
to such games. Finally, design lessons drawn from past research are discussed, together with
opportunities for future work.
About the Speaker:
Dion Goh has a PhD in computer science. He is currently Associate Professor with Nanyang
Technological University (Singapore), where is also the Founding and current Director of the Masters
of Information Systems program in the Wee Kim Wee School of Communication and Information. He
was also the Founding Associate Chair of Graduate Studies of the school. His major areas of research
are in gamification techniques for shaping user perceptions and motivating behavior, mobile
information sharing and seeking, and crowdsourcing. Dion has led a number of funded projects in
the use of gamification in mobile content sharing, the use of games for mental health interventions,
human computation games for data analytics, mobile tagging, and collaborative querying.