Unprecedented Innovations in Sustainable Urban Planning: Novel Analytical Solutions and Data-Driven Decision-Making Processes

2018 ◽  
pp. 247-296
Author(s):  
Simon Elias Bibri
Keyword(s):  
Decision Making ◽  
Urban Planning ◽  
Analytical Solutions ◽  
Data Driven ◽  
Data Driven Decision Making ◽  
Decision Making Processes

Investigating the Role of Data-Driven Decision-Making Within School Improvement Processes

2021 ◽  
pp. 1707-1725
Author(s):  
Venesser Fernandes
Keyword(s):  
Decision Making ◽  
Organizational Change ◽  
School Improvement ◽  
Critical Role ◽  
Data Driven ◽  
Evidence Based ◽  
Data Driven Decision Making ◽  
Continuous School Improvement ◽  
Decision Making Processes

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.

scholarly journals Automated Decision-Making and Environmental Impact Assessments: Decisions, Data Analysis and Predictions

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Zoe Nay ◽  
Anna Huggins ◽  
Felicity Deane
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Environmental Impact ◽  
Environmental Law ◽  
Critical Role ◽  
Data Driven ◽  
Data Driven Decision Making ◽  
Environmental Impact Assessments ◽  
Decision Making Processes ◽  
Automated Decision Making

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.

Investigating the Role of Data-Driven Decision-Making Within School Improvement Processes

2019 ◽  
pp. 201-219 ◽  
Author(s):  
Venesser Fernandes
Keyword(s):  
Decision Making ◽  
Organizational Change ◽  
School Improvement ◽  
Critical Role ◽  
Data Driven ◽  
Evidence Based ◽  
Data Driven Decision Making ◽  
Continuous School Improvement ◽  
Decision Making Processes

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.

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