Network science, transportation & education #NetSci2019

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Network science is an amazing technique to quantify how things connect to each other. Exploring those relationships can help us to comprehend emergent behaviors and model/understand/predict many complex systems. In this video Isaac Howenstine and I talk about some remarks on network science and two research works that we presented together at NetSci2019, related to transportation and cities; and peer-to-peer tutoring networks. Come with us on this journey to an interconnected world! #networks #are #cool #netsci2019

If you are interested in collaborating or just discussing these ideas further leave something in the comments or contact us at eddeb@usp.br or ish219@lehigh.edu.

Some personal insights from NetSci2019 conference:

  • Networks are everywhere! Everything in this world is connected. Kids have this intuitive feeling. Relationships are all network. We need to retake the non-reductionist and interdisciplinary approach, understanding how things connect and interact with each other to solve some of the most complex, challenging and interesting problems of our era.
  • Cities are complex systems. The urban space is deeply connected; and it has a huge potential and capacity to be interpreted with graphs and data-science techniques. Specially transportation and infrastructure networks, but also spatial economics and social networks.
  • Machine learning on graphs is a well established field with many methods and approaches, such as hyperbolic geometries, similarities, neural networks, deep learning on graphs and so many other computer techniques to learn from the wisdom of the crowds. Remembering that good algorithms should be interpretable, learning how humans made decisions.
  • Social sciences, though sometimes may appear subjective, can be quantified with factors such as creativity, productivity, prestige, leadership, intensity; measured with proxies from data-mining, quasi-experiments or machine learning; to reveal hidden patterns and human behaviors.
  • Discovering a community of amazing professors, computer scientists, physicist, engineers, colleagues, collaborators and young researchers working on many different areas under the same network-science umbrella. Having empathy, being kind & listen is essencial in science. Sparkles in the eyes of people are inspiring and make us realize this is a huge world full of possibilities.

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