620089 :Governance and Policy making

General info

Instruction language English
Type of Instruction Lectures (Lecture schedule)
Type of exams Written Exam (50%)
Paper (50%)
(Examination schedule)
Level:Master
Course load:6 ECTS credits
Blackboard InfoLink to Blackboard (When you see 'Guest are not allowed in this course', please login at Blackboard itself)

Lecturer(s)


A.R. Ingrams (Coordinator)


Objectives

Public administration scholars and practitioners design governance and policymaking in order to achieve better outcomes for government and society. This course will introduce these models and apply them to contemporary policy problems. However, the course will also pay special attention to the role of recent technology and data science innovations in governance and policymaking. 

Governance and public policies have always been driven by data. Everyday trends in technology such as computers and social media influence modern public administration, but basic administrative tools and the systematic collection and analysis of data have been the foundations of governance since ancient times. In contemporary government the scale of technology- and data-driven change is historically unprecedented. 

The course will explore the instrumental gains from these advances such as allowing policymakers to base decisions not on politics or expedience but on the evidence of what really works. At the same time, technology changes raise questions about what data to use and how to use these data, which inevitably become critical social and political questions. In this course we will explore these contemporary models and techniques of data-based governance and the challenges and dilemmas with which they confront policymakers. 

Three learning goals are achieved with this elective:   

(1) To describe and compare theories of public policy design (e.g., incrementalism, institutionalism) and governance (e.g., network, policy, collaborative);  

(2) To identify characteristics of major social and technological data-driven innovations and evaluate their impact on governance and policymaking; and

(3) To analyse major contemporary policy challenges (e.g., climate change, terrorism) and evaluate the strengths of policy design and technologies to address them.


Recommended option for

  • Data Science: Business and Governance ( 2015, 2016, 2017 )
  • Data Science: Business and Governance (Spring) ( 2017 )

(01-nov-2017)