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Networks, Crowds, and Markets

This concentration helps students to understand formal models, data and policy issues surrounding networked systems. Models: Foundations of formal analysis and design of interconnected systems--understanding networks and human behavior drawing on ideas from economics, sociology, computing and information science, and applied mathematics. Data: Tools and techniques to analyze data related to analyzing networked behavior. Policy/Values: Ethical, legal and social issues around networked behavior and data, and designing networked systems.

Students interested in analytical frameworks for online social systems and formal models of human behavior and decision making; applying formal models for analysis and design of online systems.

The core course related to this concentration is INFO 2040: Networks.

Jon Kleinberg, Eva TardosDavid EasleyLarry BlumeMichael Macy and Arpita Ghosh are examples of our faculty who work in this field. 

Career paths:

  • Professional careers in online Web companies and startups as algorithm designers, data scientists, etc (Google, Facebook, Twitter)
  • Graduate study in Information Science; Computational Social Science; Computer Science; Applied Economics---Masters or PhD programs. 

Color Code Key:

Fall Course

Spring Course 

Offered more than one semester

[ ] = not offered 17-18

A. MODELS: CHOOSE TWO COURSES

B. DATA: CHOOSE ONE COURSE

C. POLICY/VALUES: CHOOSE ONE COURSE