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Learning in co-evolutionary governance

Learning processes in governance are diverse, entangled and both enabled and limited by co-evolutions of various sorts. In this special issue, authors show how learning from the past, by comparison, from experts, through experiment and through discussion works differently in each community and each path of governance. Learning, moreover can take on the form of 'dark learning', for private benefit, while systems of governance can encourage forgetting and non- learning as much as learning. This being said, the potential for learning in and through governance remains remarkably unexplored, in part because of the vast literatures embracing overly optimistic ideas on learning and its amenability to steering and engineering.

New special issue in Administration & Society, Guest edited by Kristof Van Assche, Raoul Beunen, Monica Gruezmacher, Josh Evans and Stefan Verweij:

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