title: Stages and dimensions of systems intelligence

authors: Jones, Rachel

subjects: systems intelligence

abstract: Following the footsteps of emotional, social, cultural and other types of intelligence, systems intelligence offers a new perspective on how individuals act with a lesser or greater degree of intelligence within physical and social systems. First appearing in the published literature in 2004, systems intelligence has resonated with the related fields of decision making, communication and leadership, among others. However, to date, a taxonomy for considering systems intelligence has yet to be described. Building off Kegan's framework for human development and Hämäläinen and Saarinen's recent levels, we offer a new taxonomy of systems intelligence and describe its stages and dimensions. We focus on the three stages of attentive, active and inspired systems intelligence, incorporating three, four and eight dimensions, respectively. This taxonomy serves as a useful conceptualization for the future development of measurement tools for systems intelligence and as a basis for understanding how individuals might transition between stages.

text: Stages and dimensions of systems intelligence Following the footsteps of emotional, social, cultural and other types of intelligence, systems intelligence offers a new perspective on how individuals act with a lesser or greater degree of intelligence within physical and social systems. First appearing in the published literature in 2004, systems intelligence has resonated with the related fields of decision making, communication and leadership, among others. However, to date, a taxonomy for considering systems intelligence has yet to be described. Building off Kegan's framework for human development and Hämäläinen and Saarinen's recent levels, we offer a new taxonomy of systems intelligence and describe its stages and dimensions. We focus on the three stages of attentive, active and inspired systems intelligence, incorporating three, four and eight dimensions, respectively. This taxonomy serves as a useful conceptualization for the future development of measurement tools for systems intelligence and as a basis for understanding how individuals might transition between stages.

year: 2011

title: Learning by building digital libraries

authors: Nichols, David M.

subjects: digital librarian

abstract: The implications of using digital library software in educational contexts, for both students and software developers, are discussed using two case studies of students building digital libraries.

text: Learning by building digital libraries The implications of using digital library software in educational contexts, for both students and software developers, are discussed using two case studies of students building digital libraries.

year: 2006

title: Māori data governance model

authors: Kukutai, Tahu

abstract: This report describes the Māori Data Governance Model that has been designed by Māori data experts for use across the Aotearoa New Zealand public service. Māori data is a taonga that requires culturally grounded models of protection and care. The Model provides guidance for the system-wide governance of Māori data, consistent with the Government’s responsibilities under te Tiriti o Waitangi. The Model is intended to assist all agencies to undertake Māori data governance in a way that is values-led, centred on Māori needs and priorities, and informed by research. This is important because existing government data processes and practices are failing to meet Māori informational needs.

The Vision, Tuia te korowai o Hine-Raraunga – Data for self-determination, enables iwi, hapū and Māori organisations, businesses and communities to pursue their own goals for cultural, social, economic and environmental wellbeing. Eight Data Pou or pillars define critical areas of data governance and specify the actions that should be undertaken to realise six desired outcomes. The Model does not cover every element of data governance; instead, it focuses on key priorities and actions, against which agencies can assess their level of data maturity. The Model explicitly recognises the need for changes to system leadership, policies and legal settings so that Māori can exercise authority over Māori data to reduce unethical data use and strengthen outcomes for individuals, whānau and communities. The report also identifies the need for strategic investment in a Mana Motuhake data system that sits outside of the public sector to ensure iwi and hapū sovereignty over iwi and hapū data.

text: Māori data governance model This report describes the Māori Data Governance Model that has been designed by Māori data experts for use across the Aotearoa New Zealand public service. Māori data is a taonga that requires culturally grounded models of protection and care. The Model provides guidance for the system-wide governance of Māori data, consistent with the Government’s responsibilities under te Tiriti o Waitangi. The Model is intended to assist all agencies to undertake Māori data governance in a way that is values-led, centred on Māori needs and priorities, and informed by research. This is important because existing government data processes and practices are failing to meet Māori informational needs.

The Vision, Tuia te korowai o Hine-Raraunga – Data for self-determination, enables iwi, hapū and Māori organisations, businesses and communities to pursue their own goals for cultural, social, economic and environmental wellbeing. Eight Data Pou or pillars define critical areas of data governance and specify the actions that should be undertaken to realise six desired outcomes. The Model does not cover every element of data governance; instead, it focuses on key priorities and actions, against which agencies can assess their level of data maturity. The Model explicitly recognises the need for changes to system leadership, policies and legal settings so that Māori can exercise authority over Māori data to reduce unethical data use and strengthen outcomes for individuals, whānau and communities. The report also identifies the need for strategic investment in a Mana Motuhake data system that sits outside of the public sector to ensure iwi and hapū sovereignty over iwi and hapū data.

year: 2023