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"n a recent article in the New York Times, the development economist Seema Jayachandran discusses three studies that used Randomised Controlled Trials (or RCTs) to understand the benefits of enhancing the self-worth of poor people. Despite wide differences in context, all the cases explore the viability of 'modest interventions' to 'instill hope' in marginalised communities, concluding that 'remarkable improvements' in the quest for poverty reduction are possible."

"The big news to emerge from recent archeological research concerns the time lag between "sedentism," or living in settled communities, and the adoption of agriculture. Previous scholarship held that the invention of agriculture made sedentism possible. The evidence shows that this isn't true: there's an enormous gap-four thousand years-separating the "two key domestications," of animals and cereals, from the first agrarian economies based on them. Our ancestors evidently took a good, hard look at the possibility of agriculture before deciding to adopt this new way of life. They were able to think it over for so long because the life they lived was remarkably abundant. Like the early civilization of China in the Yellow River Valley, Mesopotamia was a wetland territory, as its name ("between the rivers") suggests. In the Neolithic period, Mesopotamia was a delta wetland, where the sea came many miles inland from its current shore."

Groups of firms often achieve a competitive advantage through the formation of geo-industrial clusters. Although many exemplary clusters are the subjects of case studies, systematic approaches to identify and analyze the hierarchical structure of geo-industrial clusters at the global scale are scarce. In this work, we use LinkedIn's employment history data from more than 500 million users over 25 years to construct a labor flow network of over 4 million firms across the world, from which we reveal hierarchical structure by applying network community detection. We show that the resulting geo-industrial clusters exhibit a stronger association between the influx of educated workers and financial performance, compared to traditional aggregation units. Furthermore, our analysis of the skills of educated workers reveals richer insights into the relationship between the labor flow of educated workers and productivity growth. We argue that geo-industrial clusters defined by labor flow provide useful insights into the growth of the economy.

"I'm going to teach a new course this fall, tentatively titled "Technology and Social Change". It's going to include an examination of the four levers of social change Larry Lessig suggests in Code and which I've been exploring as possible paths to civic engagement. It will include deep methodological dives into codesign, and into using anthropology as tool for understanding user needs. It will look at unintended consequences, cases where technology's best intentions fail, and cases where careful exploration and preparation led to technosocial systems that make users and communities more powerful than they were before."