Data Science DC

Data Science DC is a non-profit professional group that meets monthly to discuss diverse topics in predictive analytics, applied machine learning, statistical modeling, open data, and data visualization. Our members are professionals, students, and others with a deep interest in these fields and related technologies. Meeting topics are varied and range from tutorials on basic concepts and their applications, to success stories from local practitioners, to discussions of tools, new technologies, and best practices. All are welcome — to attend, to meet others, and to present their work!

Upcoming Events:

  • Real-Time Automated Global Behavior and Beliefs Mapping, Modeling, and Forecasting
  • Topological Data Analysis

    Tentative Events:

    • More Lightning Talks
    • Data Intensive Science at Extreme Scale
    • The Trouble with P-Values
    • Multiple Regression with Poststratification
    • Lightning Talks at PAW-Gov
    • Agent-Based Modeling
    • Intro to Digital Humanities
    • Entity Resolution and/or Social Media
    • eDiscovery
    • DSC: Bandit Algorithms for Exploration and Exploitation
    • Statistical Literacy and Secondary Statistics Education
    • ScraperWiki
    • Govtrack analyses
    • Data Classroom: Bayesian Methods and MCMC
    • Topic Modeling
    • Statistical Methods for Establishing Trust in Crowd Sourced Data
    • Topic Analysis of Scams
    • Data Security
    • Washington Nationals
    • Optimizing the Red Cross
    • Mining Childhood Cancer Data
    • Cybersecurity
    • Deep Learning Workshop(s)
    • Persuasion Modeling
    • Marketing Mix Modeling

    Speakers Needed:

    • Prediction Ethics Panel
    • Someone from Civis Analytics
    • VC bounds, Rademacher complexity, and why you should care
    • DSC: What Data Scientists and Statisticians Need to Know about Optimization

    Is there an event you’d like to see? A topic you’d like to present? Please get in touch via the Meetup site!