Income and Lifespan Inequality
All reference sources are included in each slide under the speakers notes:
What will be the ways for technology to increase or decrease the gap among people?
Income and lifespan inequality
The quality of life in overall countries got dramatically elevated, however, with significant amount of inequality. It is visible by how bubbles that represent different countries are located in scattered shape in 2008, compared to 1830.
It gets more interesting when he takes apart some cities in China and starts locating them next to other countries. In 2009, China had relatively lower lifespan and income level than Italy - while Shanghai alone was in comparable status. Then, he takes Guizhou apart and locate next to Pakistan. Furthermore, within Guizhou, the poorest rural area was comparable with Ghana.
This week's discussion about a list of trends and critical uncertainties was done with Laura Weinman Kerry, with focus on global migration because it was both Laura's and my previous topic as well. While Laura researched more details about citizenship and national identity, I looked bit more into the issues with international economic transfer, such as outsourcing and fair trade among countries.
This week's discussion about predetermined elements and current conditions was done with Jiyao Zhang, with focus on demographic phenomenon.
Notes from a discussion of machine learning as a driving force with Andrew Lee. We discussed machine learning as a driving force of: