Ecodylic Science Podcast

In this episode we discuss how collective behavior research can inform our understanding of and approach to mental health.Some references for further reading:- Legaz, A., Altschuler, F., Gonzalez-Gomez, R., Hernández, H., Baez, S., Migeot, J., ... & Ibañez, A. (2024). Structural inequality linked to brain volume and network dynamics in aging and dementia across the Americas. Nature Aging, 1-16.- Kumasaka, Y. (1966). Collective mental illness within the framework of cultural psychiatry and group dynamics. The Psychiatric Quarterly, 40, 333-347.- Ridley, M., Rao, G., Schilbach, F., & Patel, V. (2020). Poverty, depression, and anxiety: Causal evidence and mechanisms. Science, 370(6522), eaay0214.

In this episode, we explore real-world applications of collective behavior principles, demonstrating how technologies like high-resolution tracking, machine learning, and computational modeling are transforming sectors from public safety and healthcare to wildlife conservation and urban planning. These examples highlight how fundamental behavioral analysis concepts underpin innovations across industries. References for further reading: Collective Behavior in real life 1.Wildlife Conservation Tracking https://royalsocietypublishing.org/doi/full/10.1098/rstb.2017.0004 • Elephant Migration (Africa): GPS collars track movement. • Monarch Butterfly Migration (N. America): Tagging tracks routes. • Jaguar Monitoring (Amazon): GPS collars study territories. 2. Fitness Trackers and Public Health • All of Us Research Program: Collects wearable data for precision medicine. https://allofus.nih.gov/ • Apple Heart Study: Identifies irregular heart rhythms via Apple Watch. https://med.stanford.edu/appleheartstudy.html 3. Supply Chain and Logistics Optimization • Amazon’s Warehouses: RFID and GPS for inventory tracking. https://www.amazon.science/tag/supply-chain-optimization-technologies • Walmart’s Inventory Management: RFID enhances stock accuracy. https://tech.walmart.com/content/walmart-global-tech/en_us/blog/post/walmarts-ai-powered-inventory-system-brightens-the-holidays.html 4. Social Media Algorithms and Misinformation https://www.exc.uni-konstanz.de/collective-behaviour/news-and-events/news/details/why-study-of-collective-behavior-must-be-crisis-discipline/ • Facebook’s News Feed: Engagement-driven content curation. • Twitter’s Timeline: Algorithmic relevancy over chronology. • YouTube’s Recommendations: Watch-time prioritized content. 5. Organizational Design and Social Physics https://www.media.mit.edu/people/sandy/projects/ • MIT’s “Reality Mining”: Analyzes social interactions in organizations. • Sociometric Badges: Wearables tracking team dynamics (Bank of America example). 6. Epidemiological Modeling and Disease Spread • Imperial College COVID-19 Model: Informed global health policies. • CDC Flu Forecasting: Seasonal influenza predictions. • Nextstrain: Real-time pathogen evolution tracking. https://nextstrain.org/ 7. Transportation and Urban Planning Simulations • MATSim (ETH Zurich): Simulation of transportation systems, based on Singapore https://matsim.org/gallery/zurich/

Behavioral biology traditionally relied on manual observations and ethograms to study animal behavior. However, advancements in technology—like machine learning, high-resolution tracking, and virtual reality—have revolutionized the field, enabling large-scale, quantitative analysis of complex behaviors across different scales.

Collective behavior used to refer mostly to aggregation and collective motion (e.g. flock or crowd). However, the connection between individual and collective behavior generally makes it part of the study of complex systems, which has been emphasized in recent years, broadening its scope.