Professor Te Taka Keegan
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Professor Department of Software Engineering & Co-Director of AI Institute Maori Artificial Intelligence Institute
Nō Waikato-Maniapoto, nō Ngāti Porou, nō Ngāti Whakaue hoki.
Kei Ngāhinapōuri e noho ana, kei te pūtake o te maunga o Pirongia.
Kua roa ia e mahi ana ki te Whare Wānanga o Waikato, me tana aro ki te whai huarahi mō te reo rangatira ki te ao hangarau.
Te Taka received a Diploma in Computer Engineering from CIT (Wellington) in 1987. He spent six years working as a hardware engineer for Datacom and Digital before returning to the Waikato and Waikato University. He received a BA through the Te Tohu Paetahi stream (Māori immersion) and in 1996 was awarded an MA having completed a thesis on traditional navigation. Te Taka worked with the Māori Department and then in 1997 switched to the Computer Science Department. He completed a PhD in 2007, titled Indigenous Language Usage in a Digital Library: He Hautoa Kia Ora Tonu Ai.
Te Taka has worked on a number of projects involving the Māori language and technology. These include the Māori Niupepa Collection, Te Kete Ipurangi, the Microsoft keyboard, Microsoft Windows and Microsoft Office in Māori, Moodle in Māori, Google Web Search in Māori, the Māori macroniser and SwiftKey for Māori. In 2009 Te Taka spent 6 months with Google in Mountain View as a visiting scientist assisting with the Google Translator Toolkit for Māori. Further work with Google led to Translate in Māori.
In 2013 Te Taka was awarded the University of Waikato's Māori/Indigenous Excellence Award for Research. In 2017 Te Taka was awarded the Prime Minister’s Supreme Award for Tertiary Teaching Excellence.
Rangahau · Related projects
Universities in Aotearoa hold a vast, largely unmapped, collection of Māori data. With that, these institutions are in positions of power to control the ways in which Māori data is collected, stored, accessed and used, often without meaningful involvement from Māori communities. Organised across three objectives, this project explores how Māori data…
View projectActivating Māori Research Data Sovereignty in universities
Universities in Aotearoa hold a vast, largely unmapped, collection of Māori data. With that, these institutions are in positions of power to control the ways in which Māori data is collected, stored, accessed and used, often without meaningful involvement from Māori communities. Organised across three objectives, this project explores how Māori data governance can be strengthened within academic policy and institutional contexts in ways which give effect to Māori Data Sovereignty for Māori hāpori, hapū and iwi.
The first objective investigates the potential for Machine Learning to identify and locate Māori research data held within universities.
Objective two examines existing approaches to Māori data governance within a university context and identifies opportunities to bring institutional policies and practices into alignment with Te Kāhui Raraunga's Māori Data Governance Model.
The third objective focuses on the relationships between Māori rightsholders and their data, exploring how Māori aspirations for MDSov can be at the centre of all decision-making.
Kairangahau · Researchers
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Dr Paul Brown
Dr Paul Brown
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Dr Dion O’Neale
Dr Dion O’Neale
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Professor Te Taka Keegan
Professor Te Taka Keegan
Nō Waikato-Maniapoto, nō Ngāti Porou, nō Ngāti Whakaue hoki.Kei Ngāhinapōuri e noho ana, kei te pūtake o te maunga o Pirongia.Kua roa ia e mahi ana ki te Whare Wānanga o Waikato, me tana aro ki te whai huarahi mō te reo rangatira ki te ao hangarau.Te Taka received a Diploma in Computer Engineering from CIT (Wellington) in 1987. He spent six years working as a hardware engineer for Datacom and Digital before returning to the Waikato and Waikato University. He received a BA through the Te Tohu Paetahi stream (Māori immersion) and in 1996 was awarded an MA having completed a thesis on… -
Dr Daniel Wilson
Dr Daniel Wilson
Daniel Wilson is a lecturer in Computer Science at Waipapa Taumata Rau | University of Auckland. His teaching and research are in the areas of AI, Māori Data Sovereignty, Māori Algorithmic Sovereignty, and AI ethics. Daniel is a member of Te Pokapū in The Māori Data Sovereignty Network Te Mana Raraunga, Co-Director of the Centre of Machine Learning for Social Good, member of the Kāhui Māori for the AI Forum, treasurer of the AI Researchers Association, and an establishment member of the AI in Health Research Network. Daniel has a PhD in Philosophy and a Master of Professional Studies in Data… -
Tracey Maniapoto
Tracey Maniapoto
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Dr Maree Sheehan
Dr Maree Sheehan
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Te Mihinga Komen
Te Mihinga Komen
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Dr Kim Southey
Dr Kim Southey
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Aamon Hāwea Apiata
Aamon Hāwea Apiata
Hāwea Apiata (Ngāti Kura, Ngāpuhi, Ngāti Toarangatira) currently works as the Poukōkiri Mātauranga Toi based in Te Iho o Te Manawataki|Library. In this role he works across both the University’s art & taonga collections as well as the open research space (research dissemination & publishing).In his work in the arts space he curates exhibitions, advises on and contributes to the campus gallery’s exhibition program, and applies an Indigenous lens to collection care, management, and research alongside the Poutiaki Taonga and Kaitiaki Mātangireia.In the open research space, he supports…
Ētahi atu · Other people
Dr Jade Le Grice
Ngāi Tupoto, Ngāti Korokoro, Te Pouka, Ngāti Wharara, Te Mahurehure
Waipapa Taumata Rau, University of Auckland
Jade Le Grice (Te Rarawa, Ngāpuhi) is a Senior Lecturer in the School of Psychology at the University of Auckland. Her…
Dr Jade Le Grice
Professor Peter Adds
Te Ātiawa
Te Herenga Waka Victoria University of Wellington
Peter Adds is an Associate Professor at Te Kawa a Maui - the School of Māori Studies at Victoria University of…
Professor Peter Adds
Associate Professor Hiria McRae
Te Arawa, Tūhoe, Ngāti Kahungunu
Te Herenga Waka Victoria University of Wellington
Hiria Mcrae (Te Arawa,Tūhoe,Ngāti Kahungunu) is an Associate Professor in the School of Education and Associate Dean…