The field of International relations is one which provides
to us an in depth perception of how political world really functions. The
subject presents a range of International Relation theories. Analysing these
theories provides us with the opportunity to support the theory which is in
line with our perception of a state's economic and strategic conditions.
In his article, 'The Long Road to Theory', Stanley Hoffman
discusses the types of International relations theories, and provides to us the
shortcomings each of them face. Theories have been divided on the basis of them
being normative, policy and empirical in nature. I completely agree with
Hoffman's viewpoint that International relation theories lack empirical support
for their claims. Without solid proof and data, theories remain only theories.
They cannot be proven, and therefore, support for them may be unreliable. As it
is true, features of these IR theories such as self-interest and power cannot
be measured, empirical data should be presented by assessing the growth of the
theory over time, to measure if it would
be sustainable even in the future.
To
avoid criticism, International Relation theories need to have a stronger base.
To gain support of other sciences and provide credibility, these theories need
to be reconditioned. For this reconditioning to be successful, meta-theory is imperative,
as stated Colin Elman and Miriam Fendius Felman in their article, "How not to be Lakatos Intolerant: Appraising
Progess in IR Research". There is also a need for there for be a
balance between them being normative, policy and empirical in nature. If these
conditions are met, International Relations will prevent its self-destruction.
So I agree with your last statement that there should be a be normative, policy, and empirical ways of evaluating international relations. But earlier in the piece you argue in favor of the critical need for data. Does data have to be statistical, or can some other type of data suffice?
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