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Aloha!

I love the thinking here.

To build on it, I wonder how might we make it super simple for folks to contribute to big data analysis in ways that generate income.

One gift of big data is the ability to cross reference billions of rows of data in seconds, right?

What if we polled the world about their happiness today? Then cross referenced their level of happiness with the loads of data we have about a local area (weather, employment, income, access to education, access to resources, products and services).

Perhaps selling these new insights could generate enough revenue to economically incentivize people to participate.

Felipe, excellent questions.

Based on my observations and conversations, one simple guess as to "why were youth bored in Ghana?" is nothing to do at night.

Here are more specific observations:

The youth I interviewed lived in a peri-urban town of ~2,000 people. This town is located 3-hour drive via dirt road from Ghanaian capital of Accra. Here, many young people worked in farming. At night folks had electricity in their homes, but no TVs or computers. One dirt road runs through town, but walking that street at night showed no signs of engaging actives for youth.

That said, everyone had feature phones (simple mobile phones). This raised the question for me, "How might we transform feature phones into libraries? Versions of Netflix? And, can we co-create the content in ways that create economic opportunity for young people?"