Digital Innovation School Faculty
The members of the Digital Innovation School faculty serve as advisors to students in the Graduate Program in Complexity Science.
epidemiology, public health, One Health, zoonoses
collective adaptation, coping with uncertainty
text analysis and search, data science
evolution, statistical physics
digital assets, financial technologies, transaction networks
homophily, biases in networks and algorithms, science of science, computational social science
complex networks, statistical physics, financial analysis
healthcare and disease, supply chains
social media platforms, misinformation, LLMs, agent-based modelling
economic geography, innovation, labor markets, migration, economic development
cognition, belief dynamics, collective adaptation
energy transition, economic impacts of disasters, technological change, systemic risk
data engineering, disaster modeling
urban dynamics, sustainable mobility
financial markets, supply chains, resources
innovation, economic complexity, science of science, large scale simulations
systemic and sustainability management
computational statistics, databases
complexity theory, economic systems, social systems
cliodynamics, societal collapse
data visualization, visual storytelling