scholarly journals Data-driven Smart Sustainable Cities: Highly Networked Urban Environments and Automated Algorithmic Decision-Making Processes

2019 ◽  
Vol 11 (2) ◽  
pp. 55
Author(s):  
Venesser Fernandes

This chapter provides a detailed literature review exploring the importance of data-driven decision-making processes in current Australian school improvement processes within a context of evidence-based organizational change and development. An investigation into the concept of decision-making and its effect on organizational culture is conducted as change and development are considered to be the new constants in the current discourse around continuous school improvement in schools. In a close examination of literature, this chapter investigates how key factors such as collaboration, communication, and organizational trust are achieved through data-driven decision-making within continuous school improvement processes. The critical role of leadership in sustaining data cultures is also examined for its direct impact on continuous school improvement processes based on evidence-based organizational change and development practices. Future implications of data-driven decision-making to sustain continuous school improvement and accountability processes in Australian schools are discussed.


2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Zoe Nay ◽  
Anna Huggins ◽  
Felicity Deane

This article critically examines the opportunities and challenges that automated decision-making (ADM) poses for environmental impact assessments (EIAs) as a crucial aspect of environmental law. It argues that while fully or partially automating discretionary EIA decisions is legally and technically problematic, there is significant potential for data-driven decision-making tools to provide superior analysis and predictions to better inform EIA processes. Discretionary decision-making is desirable for EIA decisions given the inherent complexity associated with environmental regulation and the prediction of future impacts. This article demonstrates that current ADM tools cannot adequately replicate human discretionary processes for EIAs—even if there is human oversight and review of automated outputs. Instead of fully or partially automating EIA decisions, data-driven decision-making can be more appropriately deployed to enhance data analysis and predictions to optimise EIA decision-making processes. This latter type of ADM can augment decision-making processes without displacing the critical role of human discretion in weighing the complex environmental, social and economic considerations inherent in EIA determinations.


Author(s):  
Tércio da Silva Melo ◽  
João Vitor Lino Mota ◽  
Nathália Diniz Bastos e Silveira ◽  
Alessandra Rodrigues Santos de Andrade ◽  
Marcelo Cesar Lima Peres ◽  
...  

Abstract Politicians and environmental professionals have pointed to the lack of scientific knowledge to support legislation for planning urban centers. Thus, this essay aims to provide ecological knowledge to assist politicians and environmental professionals in decision making regarding the Brazilian urban zoning. As a science, ecology provides the necessary knowledge to assist the creation of guidelines and standards for urban zoning. Specifically, landscape ecology shows different methods of work, which have as parameters the qualification and quantification of urban environments. These parameters can be used as criteria for planning sustainable cities. The field of urban ecology has demonstrated the importance of conserving green and blue areas (water bodies) in cities, as well as the need for the formation of multidisciplinary teams for urban management and elaboration of public policies pointed to zoning sustainability strategies. Generally, ecology show contributions that assist in the creation of guidelines and norms for Brazilian urban zoning. The suggestions provided through this essay are a starting point for improving the formulation of laws designed to develop and strengthen the legislation on Brazilian urban zoning.


2019 ◽  
Author(s):  
Nathan Bennett

Transformations towards sustainability are needed to address many of the earth’s profound environmental and social challenges. Yet, actions taken to deliberately shift social–ecological systems towards more sustainable trajectories can have substantial social impacts and exclude people from decision-making processes. The concept of just transformations makes explicit a need to consider social justice in the process of shifting towards sustainability. In this paper, we draw on the transformations, just transitions, and social justice literature to advance a pragmatic framing of just transformations that includes recognitional, procedural and distributional considerations. Decision-making processes to guide just transformations need to consider these three factors before, during and after the transformation period. We offer practical and methodological guidance to help navigate just transformations in environmental management and sustainability policies and practice. The framing of just transformations put forward here might be used to inform decision making in numerous marine and terrestrial ecosystems, in rural and urban environments, and at various scales from local to global. We argue that sustainability transformations cannot be considered a success unless social justice is a central concern.


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