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On Tuesday, the Treasury announced some unemployment figures based on modelling from different scenarios relating to the Covid19 pandemic and our subsequent rāhui.

The scenarios show:

• That unemployment can be kept below 10%, and return to 5% in 2021 with additional Government support. Work is already well advanced on further fiscal support.
• Without additional support, unemployment could have hit 13.5% under scenario 1 (four weeks in Level 4), while scenarios requiring more time in Level 4 showed a peak of 17.5%-26%.
• New Zealand’s underlying strength means the economy can bounce back to be $70 billion larger by 2024 than in 2019.

So, the best outlook we are dealing with at the moment is an increase in unemployment to just under 10 percent, and some commentators have pointed out this number is already a reality for Māori. So! What does this all mean? And what effect will Covid19 have on the economic system in general? To get some idea, Lillian Hanly rang Rod Oram. They started off by talking about the figures but ended up talking about Capitalism more generally.

Image credit:
Original image from Harvard Business Review | Animation by Thomas Fink-Jensen

Recently, a study was conducted at the university of Auckland analysing the use of A.I in predicting the prevalence of respiratory disease outbreaks during flu seasons in Aotearoa.

Forecasting models are essential for hospitals in predicting admissions and subsequently allocating resources and beds.

However, during peak flu periods, and, most notably the height of the COVID-19 pandemic, hospitals across Aotearoa have been largely underprepared for respiratory disease outbreaks, hence why experts have called for improvements to be made to traditional forecasting models. 

Oto spoke to Dr Steffen Albrecht, a Research Fellow at the School of Computer Science at the University of Auckland and author of the study, to talk about the study and how A.I could help disease forecasting models in hospitals across Aotearoa. 

Earth Sciences NZ have released their first national risk model for Flooding, evaluating exposure of New Zealand’s infrastructure nation wide to floods and climate based harm. 

The data shows the potential costs in damage to infrastructure at the forefront of inshore and river flooding, as well as the areas that face a greater risk of damage. However, this also shows that there are remaining issues of climate justice around those who are most vulnerable, which have not been taken into account as much as they should have in this map.

Monday Wire Producer Alex spoke to Lecturer in Architecture and Urban Planning at the University of Auckland, and research lead at the Future Cities Research Centre Dr Iresh Jayawardena about this map, what it means for our infrastructure, and what still needs to be done.