One of the things that make complexity science so fascinating is the diversity of the systems that it applies to. In this series so far, you’ve learnt about everything from ecologies to economies, tipping points in ecologies and economies, to power and influence in the 1400s, and even the spread of coronavirus in the lungs and the thing that brings all of these different topics together is complexity. This means that we can study one system to help us understand other systems — including bees.

In today’s episode, Orit Peleg, Faculty at the University of Colorado, Boulder, and External Faculty at the Santa Fe Institute, explains how bees self-organise and produce sophisticated behaviour. In this case, you’ll hear how thousands of bees can work out where their queen is at any given point.

Listen at: omny.fm

Economic complexity methods have become popular tools in economic geography, international development, and innovation studies. Here, I review economic complexity theory and applications, with a particular focus on two streams of literature: the literature on relatedness, which focuses on the evolution of specialization patterns, and the literature on metrics of economic complexity, which uses dimensionality reduction techniques to create metrics of economic sophistication that are predictive of variations in income, economic growth, emissions, and income inequality.

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Esteban’s work lies in the intersection of big data and computational social science, with special attention to human dynamics, collective intelligence, social networks and urban mobility in problems like viral marketing, natural disaster management, or economical segregation in cities.

Esteban is creative and exploring in his work, and has made important contributions in a number of topics, especially recently using massive datasets to understand problems like how humans communicate, how to political opinion spreads in social networks or building alternative wellbeing indexes.

In our conversation, we talk about his career, his science, and go deep with his 2011 paper “Dynamical strength of social ties in information spreading”, which is not only an interesting paper … but also comes with a very nice story of how we can build communities in science by collaborating even between competing groups.

Listen at: toolazy.buzzsprout.com

Online lectures

Created by: Prof. Ricard Solé, Jordi Piñero
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General relativity and quantum mechanics are the two most successful conceptual breakthroughs of modern physics, but Einstein’s description of gravity as a curvature in space-time doesn’t easily mesh with a universe made up of quantum wavefunctions. Recent work that tries to bring those theories together is revealing some mind-bending truths. In this episode, the physicist and author Sean Carroll talks with host Steven Strogatz about how space and time might be emergent properties of quantum reality, not fundamental parts of it.

Read the full article at: www.quantamagazine.org