title: The Treaty, tikanga Māori, ecosystem-based management, mainstream law and power sharing for environmental integrity in Aotearoa New Zealand – possible ways forward

authors: Joseph, Robert

subjects: Maori, ecosystem-based management, coastal marine estate, sustainability, Treaty of Waitangi

abstract: Ecosystem-based management (EBM) has become an appropriate international response for addressing alarming global environmental degradation trends. EBM is designed and executed as an adaptive, learning-based process that applies the following common international principles:
•	the connections and relationships within an ecosystem;
•	the cumulative impacts that affect marine welfare; 
•	focus on maintaining the natural structure and function of ecosystems and their productivity;
•	incorporate human use and values of ecosystems in managing the resource;
•	recognise that ecosystems are dynamic and constantly changing;
•	are based on a shared vision of all key participants; and
•	are based on scientific knowledge, adopted by continual learning and monitoring.

The New Zealand Sustainable Seas National Science Challenge agrees with these EBM principles but has adapted them into an Aotearoa New Zealand theoretical approach that fundamentally acknowledges mātauranga and tikanga Māori law hence the following Aotearoa New Zealand EBM principles:
•	a co-governance and co-design structure that recognises the Māori constitutional relationship and mana whenua at all levels (whānau, hapū, iwi), together with the guiding principles of mauri, whakapapa, kaitiakitanga, mātauranga-a-iwi and mātauranga-a-hapū;
•	is place and time-specific, recognising/understanding the ecosystem as a whole in all its ecological complexities and connectedness and addressing cumulative and multiple stressors;
•	acknowledges humans as ecosystem components with multiple values;
•	views long-term sustainability as a fundamental value, in particular maintaining values and uses for future generations;
•	includes collaborative and participatory management throughout the whole process, considering all values and involving all interested parties from agencies and iwi to industries, whānau, hapū and local communities;
•	has clear goals and objectives based on knowledge; and
•	includes adaptive management, appropriate monitoring and acknowledgement of uncertainty.

The report focuses on analysing EBM through the incorporation of mātauranga and tikanga Māori and power sharing through Treaty partnerships over the marine and coastal estate.

text: The Treaty, tikanga Māori, ecosystem-based management, mainstream law and power sharing for environmental integrity in Aotearoa New Zealand – possible ways forward Ecosystem-based management (EBM) has become an appropriate international response for addressing alarming global environmental degradation trends. EBM is designed and executed as an adaptive, learning-based process that applies the following common international principles:
•	the connections and relationships within an ecosystem;
•	the cumulative impacts that affect marine welfare; 
•	focus on maintaining the natural structure and function of ecosystems and their productivity;
•	incorporate human use and values of ecosystems in managing the resource;
•	recognise that ecosystems are dynamic and constantly changing;
•	are based on a shared vision of all key participants; and
•	are based on scientific knowledge, adopted by continual learning and monitoring.

The New Zealand Sustainable Seas National Science Challenge agrees with these EBM principles but has adapted them into an Aotearoa New Zealand theoretical approach that fundamentally acknowledges mātauranga and tikanga Māori law hence the following Aotearoa New Zealand EBM principles:
•	a co-governance and co-design structure that recognises the Māori constitutional relationship and mana whenua at all levels (whānau, hapū, iwi), together with the guiding principles of mauri, whakapapa, kaitiakitanga, mātauranga-a-iwi and mātauranga-a-hapū;
•	is place and time-specific, recognising/understanding the ecosystem as a whole in all its ecological complexities and connectedness and addressing cumulative and multiple stressors;
•	acknowledges humans as ecosystem components with multiple values;
•	views long-term sustainability as a fundamental value, in particular maintaining values and uses for future generations;
•	includes collaborative and participatory management throughout the whole process, considering all values and involving all interested parties from agencies and iwi to industries, whānau, hapū and local communities;
•	has clear goals and objectives based on knowledge; and
•	includes adaptive management, appropriate monitoring and acknowledgement of uncertainty.

The report focuses on analysing EBM through the incorporation of mātauranga and tikanga Māori and power sharing through Treaty partnerships over the marine and coastal estate.

year: 2019-07-30

title: Claiming Spaces: Proceedings of the 2007 National Maori and Pacific Psychologies Symposium 23rd-24th November 2007

authors: Levy, Michelle Patricia

subjects: Maori

abstract: This is the full conference proceedings of Claiming Spaces: Proceedings of the 2007 National Maori and Pacific Psychologies Symposium 23rd-24th November 2007.

text: Claiming Spaces: Proceedings of the 2007 National Maori and Pacific Psychologies Symposium 23rd-24th November 2007 This is the full conference proceedings of Claiming Spaces: Proceedings of the 2007 National Maori and Pacific Psychologies Symposium 23rd-24th November 2007.

year: 2008

title: Recurrent concept drifts on data streams

authors: Gunasekara, N

subjects: computer science

abstract: In an era where machine learning permeates every facet of human existence, and data evolves incessantly, the application of machine learning models transcends mere data processing. It involves navigating constant changes exemplified by the phenomenon of concept drift, which often affects model performance. These drifts can be recurrent due to the cyclic nature of the underlying data generation processes, which could be influenced by recurrent phenomena such as weather and time of the day. Stream Learning on data streams with recurrent concept drifts attempts to learn from such streams of data. The survey underscores the significance of the field and its practical applications, delving into nuanced definitions of machine learning for data streams afflicted by recurrent concept drifts. It explores diverse methodological approaches, elucidating their key design components. Additionally, it examines various evaluation techniques, benchmark datasets, and available software tailored for simulating and analysing data streams with recurrent concept drifts. Concluding, the survey offers insights into potential avenues for future research in the field.

text: Recurrent concept drifts on data streams In an era where machine learning permeates every facet of human existence, and data evolves incessantly, the application of machine learning models transcends mere data processing. It involves navigating constant changes exemplified by the phenomenon of concept drift, which often affects model performance. These drifts can be recurrent due to the cyclic nature of the underlying data generation processes, which could be influenced by recurrent phenomena such as weather and time of the day. Stream Learning on data streams with recurrent concept drifts attempts to learn from such streams of data. The survey underscores the significance of the field and its practical applications, delving into nuanced definitions of machine learning for data streams afflicted by recurrent concept drifts. It explores diverse methodological approaches, elucidating their key design components. Additionally, it examines various evaluation techniques, benchmark datasets, and available software tailored for simulating and analysing data streams with recurrent concept drifts. Concluding, the survey offers insights into potential avenues for future research in the field.

year: 2024