This course provides students with a set of interweaving concepts from social science and information systems. Topics to be covered include text analytics and other machine learning algorithms which may be relevant to the project. Students will gain an experience in applying social science problem solving concepts and information systems technology to an interdisciplinary smart city project to support evidence-based decision-making.
Upon completion of the course, students will be able to:
- Apply technological skills to interdisciplinary problem-solving in smart city context with a focus on society in an interweaving way across social science and information systems. E.g., from framing a social problem to developing a solution addressing the needs of the citizen.
- Address an identified economic, policy or social aspect of a smart city problem by systematically identifying relevant stakeholders, think through their lenses and listening to their voices through text analysis.
- Design data collection tools using both survey and non-survey methods to listen to preferences of the people such as their needs and revealed preferences (through social media and surveys).
- Provide evidence-based reasoning to problem statements by applying analytics skills learnt from this course (e.g., text analytics, machine learning classification methods, process analytics) or pre-requisite courses (e.g., Analytics Foundation) to conceive solutions based on needs of people.
- Applying root cause analysis, six thinking hats methodology and Blue Ocean Strategy to solution generation.
- Consider the impact on public policies and social best practices in the context of the sponsor's problem and make recommendations made for the given city (e.g., Singapore).
- Manage a project involving real-world project stakeholders.
Understanding the current sentiments of public spaces and the needs of different user groups to guide the provision of high quality public spaces, students proposed ideas and initiatives on how to contribute to the social mixing, happiness and vibrancy of an area.
Through understanding the end consumers, merchants and riders' perspective, students developed unique selling points and a strategy for the organisation's application to close existing gaps in the market.