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      Agile and adaptive governance in crisis response: Lessons from the COVID-19 pandemic

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          Highlights

          • Adaptive governance requires oscillation between decentral and central decision-making structures.

          • Agility can hinder adaptability.

          • Bureaucracy and adaptability can go hand in hand.

          • Agile and adaptive governance are not the same.

          • Technology might hinder adaptiveness.

          Abstract

          Countries around the world have had to respond to the COVID-19 outbreak with limited information and confronting many uncertainties. Their ability to be agile and adaptive has been stressed, particularly in regard to the timing of policy measures, the level of decision centralization, the autonomy of decisions and the balance between change and stability. In this contribution we use our observations of responses to COVID-19 to reflect on agility and adaptive governance and provide tools to evaluate it after the dust has settled. Whereas agility relates mainly to the speed of response within given structures, adaptivity implies system-level changes throughout government. Existing institutional structures and tools can enable adaptivity and agility, which can be complimentary approaches. However, agility sometimes conflicts with adaptability. Our analysis points to the paradoxical nature of adaptive governance. Indeed, successful adaptive governance calls for both decision speed and sound analysis, for both centralized and decentralized decision-making, for both innovation and bureaucracy, and both science and politics.

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          Most cited references20

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          Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe

          Following the detection of the new coronavirus1 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its spread outside of China, Europe has experienced large epidemics of coronavirus disease 2019 (COVID-19). In response, many European countries have implemented non-pharmaceutical interventions, such as the closure of schools and national lockdowns. Here we study the effect of major interventions across 11 European countries for the period from the start of the COVID-19 epidemics in February 2020 until 4 May 2020, when lockdowns started to be lifted. Our model calculates backwards from observed deaths to estimate transmission that occurred several weeks previously, allowing for the time lag between infection and death. We use partial pooling of information between countries, with both individual and shared effects on the time-varying reproduction number (Rt). Pooling allows for more information to be used, helps to overcome idiosyncrasies in the data and enables more-timely estimates. Our model relies on fixed estimates of some epidemiological parameters (such as the infection fatality rate), does not include importation or subnational variation and assumes that changes in Rt are an immediate response to interventions rather than gradual changes in behaviour. Amidst the ongoing pandemic, we rely on death data that are incomplete, show systematic biases in reporting and are subject to future consolidation. We estimate that-for all of the countries we consider here-current interventions have been sufficient to drive Rt below 1 (probability Rt < 1.0 is greater than 99%) and achieve control of the epidemic. We estimate that across all 11 countries combined, between 12 and 15 million individuals were infected with SARS-CoV-2 up to 4 May 2020, representing between 3.2% and 4.0% of the population. Our results show that major non-pharmaceutical interventions-and lockdowns in particular-have had a large effect on reducing transmission. Continued intervention should be considered to keep transmission of SARS-CoV-2 under control.
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            A conceptual framework for analysing adaptive capacity and multi-level learning processes in resource governance regimes

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              Adaptive governance and institutional strategies for climate-induced community relocations in Alaska

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                Author and article information

                Contributors
                Journal
                Int J Inf Manage
                Int J Inf Manage
                International Journal of Information Management
                Published by Elsevier Ltd.
                0268-4012
                0143-6236
                23 June 2020
                23 June 2020
                : 102180
                Affiliations
                [0005]Faculty of Technology, Policy and Management, Delft University of Technology, Jaffalaan 5, 2628 BX Delft, the Netherlands
                Author notes
                [* ]Corresponding author. m.f.w.h.a.janssen@ 123456tudelft.nl
                Article
                S0268-4012(20)30994-4 102180
                10.1016/j.ijinfomgt.2020.102180
                7309933
                32836637
                1d67d099-c3fb-4ccb-adde-683dfe67c453
                © 2020 Published by Elsevier Ltd.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 15 June 2020
                : 15 June 2020
                Categories
                Article

                adaptive governance,agile governance,agile organization,response,adaptivity,pandemic,covid-19,sars-cov-2

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