3 citations · 7 across the 4 of their papers we have counts for
6 papers
Are machine learning technologies ready to be used for humanitarian work and development?
Vedran Sekara, Márton Karsai, Esteban Moro +6
Novel digital data sources and tools like machine learning (ML) and artificial intelligence (AI) have the potential to revolutionize data about development and can contribute to mo…
The inverted U-shaped effect of urban hotspots spatial compactness on urban economic growth
Weipan Xu, Haohui'Caron' Chen, Enrique Frias-Martinez +2
The compact city, as a sustainable concept, is intended to augment the efficiency of urban function. However, previous studies have concentrated more on morphology than on structur…
Automation Impacts on China's Polarized Job Market
Haohui 'Caron' Chen, Xun Li, Morgan Frank +4
When facing threats from automation, a worker residing in a large Chinese city might not be as lucky as a worker in a large U.S. city, depending on the type of large city in which…
Inferring Mechanisms for Global Constitutional Progress
Alex Rutherford, Yonatan Lupu, Manuel Cebrian +3
Constitutions help define domestic political orders, but are known to be influenced by two international mechanisms: one that reflects global temporal trends in legal development,…
Learning in Repeated Games: Human Versus Machine
Fatimah Ishowo-Oloko, Jacob Crandall, Manuel Cebrian +2
While Artificial Intelligence has successfully outperformed humans in complex combinatorial games (such as chess and checkers), humans have retained their supremacy in social inter…
Using Friends as Sensors to Detect Global-Scale Contagious Outbreaks
Manuel Garcia-Herranz, Esteban Moro Egido, Manuel Cebrian +2
Recent research has focused on the monitoring of global-scale online data for improved detection of epidemics, mood patterns, movements in the stock market, political revolutions,…