A very useful source on #AI / #GenAI#Goverance, #Readiness, and #Operations: The UK government has released guidance on the use of GenAI by departments and agencies. Link: https://t.co/ZbBhDPDu2g
#AI is poised to make a significant impact on the #economy, even if it doesn't affect every job in every sector. the value of all human capital can be 9 to 12 times > the annual GDP. So, if AI impacts only 10% of the human capital, it could be worth more than an entire year's GDP
Australians, like many around the world, seem to be becoming more civically and politically detached. We don’t join or participate in local sports clubs, religious organisations or political parties at anything like the rate we used to.
https://t.co/cAxF1zt4ol
Emerging trends in AI skill demand across 14 OECD countries. AU ~ average levels in terms of the proportion of AI-related online vacancies. However, when it comes to manufacturing, AU finds itself positioned at the lower end of the list. Link: https://t.co/JhYNcCXVKC
With more data in, Age and Education of residents still explain ~70% of the variations in the Yes Vote % across the electorates. Here is a cleaner table, including the univariate models, and also one with almost everything (removed income, it was causing multicollinearity).
@TrotStats I did, but I was not sure how to interpret it. You can think of a mechanism for age or education or income, but with distance, it is hard to think of it in the context of the outcome, other than the fact that it correlates with other measures.
With more data in, Age and Education of residents still explain ~70% of the variations in the Yes Vote % across the electorates. Here is a cleaner table, including the univariate models, and also one with almost everything (removed income, it was causing multicollinearity).
Updated: Yes Vote vs Sum of ALP/Greens Vote in 2022 Election. You can use the dashed line to find the electorates where the Yes Vote % was higher than the 2022 ALP/GRN vote %. #Referendum2023