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christokita/README.md

Hi there 🤙

The pinned repos below are mostly from my research life: ants, echo chambers, how news spreads, and other agent-based models. These days I work as an applied scientist focused on generative AI at Sprout Social, after stops at Stripe, Phylum, Princeton (PhD), Yale (BS), and IDA's Science & Technology Policy Institute.

Current side projects:

  1. 🕸️ Population density and social networks — an agent-based model of how density shapes network structure and information flow, with implications for why cities are engines of change.
  2. 🗳️ Party systems in US elections — unsupervised learning on election returns to find the eras of modern American politics.

🏄‍♂️ Off-screen: surfing, weight lifting, LA Sports (Dodgers + Lakers + Rams), and housing policy in LA.

Pinned Loading

  1. information-cascades information-cascades Public

    Examining how information cascades driven by polarized media can cause "echo chambers" to emerge in social networks. Agent-based model and empirical data collection from Twitter.

    Python 18 4

  2. news-belief-at-scale news-belief-at-scale Public

    Computational modeling and data analysis of the sharing of, exposure to, and belief in news at scale on Twitter,

    R 2

  3. socially-modulated-threshold-model socially-modulated-threshold-model Public

    Agent-based model investigating how social interactions can result in self-organized behavioral specialization and social network structure.

    R 6 2

  4. fixed-threshold-model fixed-threshold-model Public

    Agent-based model for self-organized division of labor in simulated societies.

    R 3 3