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Award-winning Data 

The Uppsala Conflict Data Program (UCDP) is the winner of the Lijphart/Przeworski/Verba Data Set Award for 2011. It is the Comparative Politics Section of the American Political Science Association (APSA) which rewards a publicly available data set that has made an important contribution to the field of comparative politics.

– UCDP was an “enthusiastic and unanimous choice of the Committee” says its chairperson Mark Tessler, University of Michigan, when conveying the news to Professor Peter Wallensteen, Director of the UCDP.

Read more about the award.

 

Community and Consent

In the article "Community and Consent: Unarmed Insurrections in Non-democracies" the authors Isak Svensson and Mathilda Lindgren explore popular challenges against the state through nonviolent means, differentiating between challenges towards the state apparatus (vertical legitimacy) and challenges of the state identity (horizontal legitimacy). The authors argue and find support for that unarmed insurrections will most likely succeed in fulfilling their goals when challenging the vertical, rather than the horizontal, legitimacy of the state. 

The article was published in the European Journal of International Relations in 2011. The replication data and the codebook can be accessed through the links below.

Community and Consent Replication Data 

Codebook for the Community and Consent data

Contact: Isak Svensson, Mathilda Lingren

 

UCDP Georeferenced Event Dataset

On 8 December, 2011, the UCDP released its latest addition to its vast number of datasets; the UCDP GED version 1.0-2011. The UCDP GED is an event-based and georeferenced dataset on organized violence, detailing all of the UCDP’s categories of violence (state-based conflict, non-state conflict and one-sided violence) in Africa between 1989 and 2010 at the level of the individual event of violence.

For more information and for downloading the dataset, please visit the UCDP GED webpage.

Discover the UCDP GED

Click image for the UCDP Georeferenced Event Data

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