Complexity scientists available to discuss implications of COVID-19 pandemic

The COVID-19 pandemic is an example of complexity in action. From transmission networks to robustness to market collapse, scientists who study complex systems are hard at work both monitoring and modeling the epidemic, and also seeking to project the socio-economic impact of the disease, and plot paths to recovery.

To share some of their insights from the world of complexity science, researchers are posting short, blog-style transmissions every Monday at santafe.edu/COVID19.

They are available to answer questions from the media relating to their posts, which will cover topics such as why systems collapse, the nature of an evolving virus and its ecology, how networks spread disease and economic instability, the mathematics of modeling outbreaks, the way decision-making modifies disease spread, and other ideas that touch on the disease.

Below are the first ten transmissions, with new posts and experts to be added each Monday.

• Transmission T-000: David Krakauer on Citizen-Based Medicine
• Transmission T-001: David Kinney on Why Scientists Must Make Value Judgments in a Complex Crisis
• Transmission T-002: John Harte on Reducing Conflicting Advice on Allowable Group Size
• Transmission T-003: Luu Hoang Duc and Jürgen Jost on Making the Most of Bad Data
• Transmission T-004: Simon DeDeo on Thinking Out of Equilibrium

• Transmission T-005: Andrew Dobson on the Need for Disease Models which Capture Key Complexities of Transmission
• Transmission T-006: Miguel Fuentes on Using Social Media Data to Detect Signatures of Global Crises
• Transmission T-007 Danielle Allen, E. Glen Weyl, and Rajiv Sethi on How to Reduce COVID-19 Mortality While Easing Economic Decline
• Transmission T-008: Michael Hochberg on the Importance of Timing in Restrictive Confinement
• Transmission T-009: Melanie Mitchell on How the Analogies We Live by Shape our Thoughts

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