2017
DOI: 10.1111/capa.12241
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The futures of Canadian governance: Foresight competencies for public administration in the digital era

Abstract: Evidence‐based practice has advanced in public administration, with increasing reliance on social research and population sampling in decision making. Yet the evidence‐based turn risks marginalizing the value of strategic foresight and futures competencies in informing policy and planning. Where evidence enables policymakers to select the best near‐term course of action, future outcomes are inferred and projected, and not determined by past evidence. Foresight provides a necessary competency for defining and i… Show more

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Cited by 28 publications
(22 citation statements)
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“…Creating more adaptive capacity in the bureaucracy, and anticipating the unanticipated, collective risk tolerance, ethics and our application of the precautionary principle are not new subjects but the challenges with them persist and the take‐up of them in public‐administration research lags. Rather than focus only on ex‐post reviews of what occurred after crises, more scholarship should focus on design, with estimates of the extent to which desired outcomes can be achieved in different scenarios and, this, by definition, requires becoming more familiar with and using a variety of modelling and foresight approaches (Jones 2017). All of this requires further investigation by the academic community.…”
Section: Covid‐19: Governance Strategies For Managing Uncertain Risksmentioning
confidence: 99%
“…Creating more adaptive capacity in the bureaucracy, and anticipating the unanticipated, collective risk tolerance, ethics and our application of the precautionary principle are not new subjects but the challenges with them persist and the take‐up of them in public‐administration research lags. Rather than focus only on ex‐post reviews of what occurred after crises, more scholarship should focus on design, with estimates of the extent to which desired outcomes can be achieved in different scenarios and, this, by definition, requires becoming more familiar with and using a variety of modelling and foresight approaches (Jones 2017). All of this requires further investigation by the academic community.…”
Section: Covid‐19: Governance Strategies For Managing Uncertain Risksmentioning
confidence: 99%
“…There have been references to the increasing use of algorithms, specifically to their emergence, as early as the 1970s, of what has been labelled as the post‐industrial information society, digital environment, digital era, digital governance, and so forth. Within these shifts to an information‐based economy, there has also been gradual shifts from New Public Management (NPM) to Digital Era Governance (DEG) approaches and the concomitant shifts to decisions, processes, and operations which previously were made by distinct individuals to automated means through increasingly more complex algorithms (Caron 2014: 91; Desrochers 2012; Dunleavy and Margretts 2010; Jones 2017; Lindquist and Huse 2017).…”
Section: What Are Artificial Intelligence Algorithms?mentioning
confidence: 99%
“…The modern foresight methodology is based on the use of a formalized technologies system for analysis and evaluation, subsequent expertise, and designing strategies for the future rural areas development. In contrast to traditional forecasting, the result of foresight research is not only the determination of prospects and strategic reference points, but also practical measures development for their implementation [5,6]. The practical orientation of the cluster approach and foresight technologies increases the requirements and scientific validity of the methodological provisions being formed to develop a strategy for rural areas development, their applicability in management decision-making processes [7,8].…”
Section: Introductionmentioning
confidence: 99%