Applications of Data-Centric Science to Social Design

Part A: Methods for Data Analysis and Design.- Chapter 1: How we design our society from data-centric point of view.- Chapter 2: Practical methods of data analysis.- Chapter 3: How to design data products with heterogeneous stakeholders.- Chapter 4: Designing Human-Machine Systems Focusing on Benefits of Inconvenience.- Part B: Mathematical Foundation of Collective Human Behavior.- Chapter 5: A simple model for information cascade and Two kinds of phase transitions.- Chapter 6: Information cascade model on networks I .- Chapter 7: Information cascade on networks II.- Chapter 8: Correlation function for generalized Polya urns: Finite-size scaling analysis.- Chapter 9: Pitman distribution and Big data analysis of Japanese election.- Chapter 10: Exact Scale Invariance in Mixing of Binary Candidates: Big data analysis.- Chapter 11: Phase transition in a voting experiment of two-choice quiz.- Chapter 12: Phase transition in generalized Polya urn in Information cascade experiment.

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• Inovação empresarial
• Cibernética e teoria dos sistemas
• A gestão do conhecimento
• Matemática e sistemas do negócio
• Pesquisa e estatística social

Collective Human Behavior;Big Data;Data-driven Innovation;Phase Transition;Benefits of Inconvenience;Information Cascade;data-driven science, modeling and theory building