1 February 2017 - Four NUS Computing faculty members received awards at the 2016 International Conference on Information Systems (ICIS), which was held in Dublin, Ireland from 11 to 14 December.
The ICIS is a major annual meeting of the Association for Information Systems (AIS) and is the most prestigious gathering of academics and practitioners in the IS discipline. It provides a forum for networking and the sharing of latest ideas and scientific work in the IS profession.
Assistant Professor Tuan Q Phan and his PhD student Tan Tianhui received the Best Research in Progress award for their paper titled Social Media-Driven Credit Scoring: the Predictive Value of Social Structures. Dr. Phan said that while there is high penetration of social media in developing economies, many individuals there lack access to loans to build their business, pay their medical bills etc. A major hurdle is the lack of a credit bureau to provide credit scores to financial institutions. He said, “In the paper, we propose a method to perform better credit scoring using social media and social network data.” Dr. Phan added that the paper is one of the first to show that Big Data is applicable to not only developed economies such as Singapore, the United States and Europe but also developing and emerging markets.
Assistant Professor Um Sungyong received the Best Paper Award in the Conference Theme Track: Digital Innovation at the Crossroads for his paper titled The Co-Evolution of Digital Ecosystems. In his paper, Dr. Um makes the case that what makes digital innovation unique is the dynamic growth of the digital ecosystem of platforms like Google and Apple. The paper explores the network and non-network properties of Application Programming Interfaces (APIs) in order to understand the impact of the nature and the environmental factors of APIs on the diversification of a platform’s digital ecosystem.
Associate Professor Hahn Jungpil, together with his PhD student Shalinda Adikari and former Information Systems faculty member Kaushik Dutta, won the Best Paper award for their paper at the 2016 Workshop on Information Technology and Systems (WITS) which was held from 15 to 16 December after the 2016 ICIS. The workshop featured research that addressed complex business problems or societal issues using current and emerging information technologies. Titled Temporal Feature Grouping-based Campaign Optimization in Real-time Bidding Digital Advertising, the group’s paper develops a novel approach to identifying the most effective target audience in order for advertisers to achieve a higher click-through rate, which refers to the ratio of the number of users who click on a specific link to the total number of users who view a particular page. Commenting on the group’s future research, Prof. Hahn said, “We are developing solutions for revenue optimization for both advertisers and publishers in real-time bidding advertising. We plan to enhance our solution further and look at new problems in online advertising such as device ID based audience measurement, fraud detection in online advertising and privacy issues in online advertising.”
Associate Professor Heng Cheng Suang was also awarded the Best Associate Editor Award for the Human Behaviour and IS Track at the 2016 ICIS.