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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Advancing Comparative Area Studies: Analytical Heterogeneity and Organizational Challenges

Advancing Comparative Area Studies: Analytical Heterogeneity and Organizational Challenges

Köllner, Patrick
Sil, Rudra
Ahram, Ariel I.

Paperback

General Political Science

ISBN10: 0197809375
ISBN13: 9780197809372
Publisher: Oxford University Press
Published: Jul 1 2025
Pages: 376
Weight: 1.08
Height: 1.04 Width: 6.23 Depth: 9.23
Language: English
The book Comparative Area Studies (2018) laid out the distinctive features and value-added of comparative area studies (CAS) against the backdrop of ongoing methodological debates in the social sciences. Since that time, the editors of the first volume and other scholars doing comparative research have been exploring the scope and usefulness of the CAS framework in relation to their own work. Others have raised important questions about the epistemological flexibility of CAS and about the institutional pressures that could limit further extensions of CAS, especially given current trends in the academy.

This new volume tackles these questions and showcases how CAS can accommodate a wider range of scholarship predicated on more varied methodological and epistemological principles. This includes not only contextualized comparisons of countries from different regions but also interpretive work, comparisons of sub-national units, as well as inter-regional comparisons addressing topics such as global human rights and the rise of regional powers that go beyond comparative politics (the focus of the first volume). This book also offers practical, realistic discussions of how our current institutional architecture can be adapted to support cross-regional comparative research and to better connect different area studies communities--while acknowledging the long-standing value of deep area expertise.

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