A framework for intelligent policy decision making based on a government data hub

Author ProofThe e-Oman Integration Platform is a data hub that enables data exchanges across government in response to transactions. With millions of transactions weekly, and thereby data exchanges, we propose to investigate the potential of gathering intelligence from these linked sources to help government officials make more informed decisions. A key feature of this data is the richness and accuracy, which increases the value of the learning outcome when augmented by other big and open data sources. We consider a high-level framework within a government context, taking into account issues related to the definition of public policies, data privacy, and the potential benefits to society. A preliminary, qualitative validation of the framework in the context of e-Oman is presented. This paper lays out foundational work into an ongoing research to implement government decision-making based on big data.“SmartEGOV: Harnessing EGOV for Smart Governance (Foundations, Methods, Tools)/NORTE-01-0145-FEDER-000037”, supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (EFDR

Everything under control? Comparing Knepp Estate rewilding project with ‘traditional’ nature conservation

‘Rewilding’ is an increasingly prominent concept in conservation, but one that has attracted controversy. Debate frequently focuses on human ‘control’ over nature. ‘Traditional’ conservation has been presented as involving ‘high control,’ and rewilding as ‘low control.’ Opposition to rewilding often stems from a perceived lack of control and associated perception of increased risk and uncertainty. This paper explores the concept of control in conservation. I identify multiple dimensions of control (‘stabilisation’, ‘location’, ‘prediction’ and ‘outputs’), illustrating that control is not a simple, linear concept. I compare two ethnographic case studies: the Sussex Wildlife Trust’s Old Lodge nature reserve; and Knepp Estate, one of the most influential rewilding projects in the UK. I use them to test assertions made about control in ‘traditional’ conservation and ‘rewilding’. I outline how Old Lodge does not exert precise control in all respects, but involves elements of uncertainty and negotiation. I describe how Knepp’s model of rewilding reduces control in some dimensions but potentially increases it in others. I conclude that, while Knepp’s rewilding does represent a significant conceptual departure from ‘traditional’ conservation, it should not be characterised as an approach that reduces control in a simplistic way. Based on this analysis, I argue that reduction of control does not necessarily underpin the concept of rewilding. Rather, there is interplay between different control dimensions that combine to form multiple ‘configurations of control.’ Using a framework of ‘configurations of control’, debate about the place of rewilding in conservation can become less polarised, and instead involve an active discussion of what configuration of control is desired. This analysis has the potential to increase understanding of rewilding projects as part of plural conservation strategies, in the UK and globally

'The wolf is coming! Emplacing a predator that is not (yet) there.'

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A Systematic Literature Review of the Relationships Between Policy Analysis and Information Technologies: Understanding and Integrating Multiple Conceptualizations

Part 3: Policy Modeling and Policy InformaticsInternational audienceResearchers and practitioners are increasingly aware of changes in the environment, broadly defined, that affect the policy process and the current capabilities for policy analysis. Examples of these changes are emergent information technologies, big and interconnected data, and the availability of computational power to perform analysis at a very disaggregate level. These and other forces have the potential to significantly change multiple stages of the policy process, from design to implementation and evaluation. The emergence of this phenomenon has led to the use of a variety of labels to define it. Potentially, a variety of labels might contribute to some conceptual confusion, but most importantly to concept stretching. This article aims to provide a conceptual space by identifying the attributes that compose the phenomenon. Based on a systematic literature review, this paper identifies the terms that have been used to refer to this phenomenon and analyzes their associated attributes. Based on Gerring & Barrosi’s Min-Max strategy of concept formation, we propose two sets of attributes to define the phenomenon