Summary
Chapters
Video Info
Niccolo Pescetelli, PhD, postdoctoral associate in the Scalable Cooperation Group at the MIT Media Lab in Boston, discusses new computational social science research methods for studying collective intelligence, including data sources and questions; data management, cleanup, analysis, models, and software; special considerations and challenges, as well as advice and future innovations.
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Chapter 1: How did You Become Interested in Computational Social Science?
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Chapter 2: How have You Developed New Research Methods for Collective Intelligence?
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Chapter 3: What are Sources for Your Data and What Questions did you Ask Your Interview Subjects?
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Chapter 4: How do You Manage and Clean Up the Data You Receive?
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Chapter 5: How do You Analyze Your Data, What are some of the Models and Software You Used, and How did the Process Work?
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Chapter 6: How did You Account for Independence of Opinion in This Project and What Else do You Need to Consider When Designing a New Research Model?
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Chapter 7: What are Some Things You Wish You had Known Before Starting This Project and What were Some Unexpected Challenges?
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Chapter 8: What Advice Would You Give People Interested in Using Crowdsourcing Software in Research and What are Some Innovations in Computational Social Science that You are Excited to See?
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