The speaker humorously addresses the surprise of being designated keynote speaker and turns the focus to a colleague.
Expresses a passion for data and its importance to discussions at the event.
Data is pervasive in modern life, with an exponential increase in data availability.
Healthcare data has doubled over two years; human genome scans doubled in just seven months.
Devices such as smartphones and Fitbits collect personal health data.
Concerns over patient-doctor privacy, likening personal health data sharing to publishing a medical autobiography.
Everyday devices (fridges, phones, buildings) collect and can share data.
Example: Facebook has 1.8 billion users, reflecting significant data capture of personal preferences.
Companies use social media data to create detailed consumer profiles targeting behaviors and influence decisions (e.g., purchases, voting).
Data collected historically often reflected governmental motives for control, surveillance, and resource extraction.
Reference to the origins of the census in ancient civilizations related to taxation and labor.
Indigenous experiences with state-controlled data collection have been fraught, often used for assimilation or economic incorporation.
Māori data has frequently been manipulated by governmental narratives about gaps in social services.
Discussion on the Prime Minister’s push for better data sharing among government, NGOs, and private sectors.
Data Futures Partnership aims to unlock economic and social data value in New Zealand.
Caution against blind faith in data and data experts.
Emphasizes that data points reflect contextual realities rather than absolute truths.
Historical and ongoing narrative framing Māori as problems needing intervention.
Criteria for intervention often framed by government priorities over indigenous needs.
IDI enables linking of diverse data sources but operates without full public awareness.
Critiques the absence of a unique identifier for tracking individuals like in Nordic countries.
Trust, once broken, is hard to regain, especially regarding indigenous data rights.
Importance of robust Māori data governance - representative and protective.
Risks include potential harm to indigenous communities from poorly governed data practices.
Emphasis on ensuring data practices are inclusive and accountable.
Urges for meaningful participation, protection, and partnership in data governance.
Without proper mechanisms, the data revolution may exacerbate, rather than alleviate, existing challenges for Māori.