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Julia Lane

    Big Data and Social Science
    RICH SEARCH & DISCOVERY FOR RESEARCH DAT
    On Baker Street
    Democratizing Our Data
    • Democratizing Our Data

      • 192pages
      • 7 heures de lecture
      3,3(31)Évaluer

      A wake-up call for America to create a new framework for democratizing data.Public data are foundational to our democratic system. People need consistently high-quality information from trustworthy sources. In the new economy, wealth is generated by access to data; government's job is to democratize the data playing field. Yet data produced by the American government are getting worse and costing more. In Democratizing Our Data , Julia Lane argues that good data are essential for democracy. Her book is a wake-up call to America to fix its broken public data system.

      Democratizing Our Data
    • On Baker Street

      Growing Up in the Projects

      • 228pages
      • 8 heures de lecture

      The story explores the sudden upheaval in Jackie’s life after the tragic death of her husband, Travis. Once enjoying the comforts of suburban living with their two sons, she is thrust into a struggle to maintain her family's stability in the wake of loss. As Jackie confronts financial challenges and the emotional toll of her husband's absence, the narrative delves into themes of resilience, adaptation, and the search for a new normal amidst grief.

      On Baker Street
    • Big Data and Social Science

      A Practical Guide to Methods and Tools

      • 376pages
      • 14 heures de lecture

      Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice. The book provides practical guidance on combining methods and tools from computer science, statistics, and social science. This concrete approach is illustrated throughout using an important national problem, the quantitative study of innovation. The text draws on the expertise of prominent leaders in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as the best analytical and computational tools. It uses a real-world challenge to introduce how these tools are used to identify and capture appropriate data, apply data science models and tools to that data, and recognize and respond to data errors and limitations. For more information, including sample chapters and news, please visit the author's website.

      Big Data and Social Science