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
social metabolism, resilience, malleability
text analysis and search, data science
evolution, statistical physics
digital assets, financial technologies, transaction networks
NLP in social science, measurement and validation, reasoning in LLMs
homophily, biases in networks and algorithms, science of science, computational social science
complex networks, human dynamics, socioeconomic networks, data-driven modeling, epidemic modeling
complex networks, statistical physics, financial analysis
healthcare and disease, supply chains
migration, innovation, technological change, human skills, economic development, public policy
economic geography, innovation, labor markets, migration, economic development
social network analysis, fair algorithms, community detection
cognition, belief dynamics, collective adaptation
computational social science, data science for social good, online social systems, biases and inequalities
forest dynamics & restoration, population & community ecology, spatiotemporal synchronization, climate change & biodiversity
energy transition, economic impacts of disasters, technological change, systemic risk
data engineering, disaster modeling
urban dynamics, sustainable mobility
innovation, economic complexity, science of science, large scale simulations
computational statistics, databases
complexity theory, economic systems, social systems
cliodynamics, societal collapse
data visualization, visual storytelling