This course explores governance frameworks driven by data, incorporating AI ethics, established theories of public administration, and mechanisms for algorithmic accountability. Students will apply predictive modeling, natural language processing (NLP), and geospatial analysis to enhance public service delivery and coordinate crisis responses effectively. Through simulations of smart cities, participants will design innovative solutions using popular programming languages while addressing issues related to the ethical deployment of AI and the transparency provided by blockchain technology. The curriculum also emphasizes the importance of behavioral insights in public administration to foster innovation in multi-sector governance.

CILO-1: Explain the main issues and challenges in smart governance and be able to identify major challenges of smart governance in future work and study of public affairs. CILO-2: Explain advanced concepts of Artificial Intelligence (AI) and its current applications in government decision making, including but not limited to machine-learning algorithms, large language models and natural language processing, and data-driven decision making. Students should be able to understand AI’s social impact to public affairs and governance systems. CILO-3: Analyze the complexity of public administration in terms of mixes of values, interests, competing orientations, and other factors, and the challenges and opportunities the artificial intelligence brings about. CILO-4: Utilize practical skills of smart governance in the job market of public administration, including policy advocate, data analysis, and program evaluation.