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Computational Institutional Analysis of Bureaucracies

Democracy
Governance
Institutions
Public Administration
Decision Making
PRA351
Alessia Damonte
Università degli Studi di Milano
Christopher Frantz
Norwegian University of Science & Technology, Trondheim
Fabio Franchino
Università degli Studi di Milano

Building: C - Hollar, Floor: 2, Room: 115

Monday 16:00 - 17:45 CEST (04/09/2023)

Abstract

Bureaucracies are crucial to policy performance and qualify political regimes. Theories portray them as inertial or responsive, entrepreneurial or risk-averse, siloed or collaborative, vulnerable to capture or stalwart. Such diversity is ascribed to differences in the configurations of rules that shape their structure, coordination, and agency. However, the mechanisms connecting specific rule configurations to models of bureaucratic agency and delivered goods and values can seldom rely on systematic and credible evidence as prescriptions may need. This Panel invites Papers that discuss how computational tools can help gauge, render, and evaluate these mechanisms and the conditions for scaling them up.

Title Details
Who is in charge? Explaining the European Union’s changing implementation design through a machine-learning application to the syntactic structure of EU laws View Paper Details
From democracy to autocracy through bureaucracy: Behavioural and functional implications of backsliding theories tested ‘in silico’ View Paper Details
Neighbors with Benefits: How Politicians' Local Ties Generate Positive Externalities When Bureaucratic Oversight is Limited View Paper Details
Understanding the information quality of public comments on bureaucratic policymaking in the European Union: a text-as-data approach View Paper Details