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VISITING SPEAKER
On Monday 4th October we will have a visiting speaker, Professor Jan Teorell, Lunds University, Sweden.
Professor Teorell is a comparative political scientist and one of the managers of the Quality of Governance dataset at Gothenburg University. Professor Teorell will discuss the challenges of measuring governance, including introducing a new dataset measuring dimensions of bureaucracy. A research paper on the topic of his talk is available here.
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PREPARATION FOR LAB SESSION AND ASSIGNMENT #1
You can now download copies of:
(i) An empty report template in Word 2010 which you may want to edit for your first assignment;
(ii) A few examples (A, B and C) of student reports (defined slightly differently) from previous years; and
(iii) Guides to using Stata and SPSS with the QoG datasets. An Excel spreadsheet lists all the variables in the QoG codebook in thematic order. You should download these materials and read them prior to the first lab sessions.
The list of lab participants signed up for each session is available here. |
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CONTACTS: To email
the
course assistant, Chenie Yoon,
click here.
To
email the professor for DPI-403,
click here |
This course provides insights into why
democratic governance matters, discusses what performance indicators and
analytical benchmarks are available, compares what strategies have
commonly been implemented by a range of different agencies, and applies
policy recommendations to specific regional cases. It covers the core principles,
analytical theories, practical tools, and applied methods useful for
understanding these issues.
The primary aims of the course are policy advocacy and analysis. That is, you will sharpen your
understanding of the core principles and also develop practical policy
recommendations designed to strengthen the institutions and processes of
democratic governance. You will also become familiar with benchmarks and indicators
suitable to evaluate the impact of any intervention.
The course will use a broadly comparative methodology incorporating
quantitative evidence combined with qualitative
evidence from a wide range of case studies from developing societies. This class uses a series of exercises/assignments which
clminate in team-based collective presentations of policy analysis
reports. A shared dataset is also available for part of the assignments. There are no prerequisites for taking the
class but some familiarity with Stata or SPSS is recommended.
The course is most suitable for those considering careers in
international development, whether working in a foreign affairs or
development ministry, consulate or mission for a bilateral donor agency,
employed by a national or regional NGO or reform think tank, working for
a multilateral or international organization such as the African Union,
World Bank, UNDP or other United Nations agency or bureau, or managing
an aid agency in a developing country. |
