Michele Coscia joined the Center for International Development's Growth Lab as a Research Fellow in 2011.
Michele obtained his Master in Digital Humanities (2008) and his PhD in Computer Science (2012) from the University of Pisa. He then spent seven months conducting research at Northeastern University's Center for Complex Network Research, led by Albert-Laszlo Barabasi.
He is trained in data mining and his research is focused primarily on Complex Network analysis, particularly on multidimensional networks, i.e. networks expressing multiple different relations at the same time. His current project is on aid coordination. The project aims to understand the extent to which international aid organizations address the issues related to aid in their countries of operation.
|Current Research/Projects||Areas of Expertise|
Business Travels as a Channel from Knowledge
Diffusion and Economic Inclusion
Connections between Barriers to Human Mobility
|Causes and Effects of Economic Structural Change||Knowledge Diffusion|
- "Knowing Where and How Criminal Organizations Operate Using Web Content," CID Fellow Working Paper No. 74. 2016
- "Average is Boring: How Similarity Kills a Meme's Success ," CID Faculty Working Paper No. 320. 2016
- "The Structure and Dynamics of International Development Assistance," Journal of Globalization and Development. 2013
- "Evidence That Calls-Based and Mobility Networks Are Isomorphic ," PLOS One. 2015
- "Network Backboning with Noisy Data ," IEEE 33rd International Conference on Data Engineering . 2017
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