Big Data in Society

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Tijdsduur
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Opleiderscore: starstarstarstarstar_half 9,3 VU Amsterdam Summer School heeft een gemiddelde beoordeling van 9,3 (uit 3 ervaringen)

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Beschrijving

More and more data is being collected about us and our activities. Our social media interactions and our online search and shopping behaviour, but also offline location tracking and sensor and surveillance networks are all generating large, often real-time data sets. Potentially, these could help answer important questions facing society today. But processing them productively represents an interdisciplinary challenge at the interface of social and computer science.

Big data in disaster response is one of three theme modules in this course. It will be taught by the members of a group of Vrije Universiteit Amsterdam researchers working in a large project on social networks in disaster manage…

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Nog niet gevonden wat je zocht? Bekijk deze onderwerpen: Sensoren, Big Data, Procesmanagement, Procesoptimalisatie en Python.

More and more data is being collected about us and our activities. Our social media interactions and our online search and shopping behaviour, but also offline location tracking and sensor and surveillance networks are all generating large, often real-time data sets. Potentially, these could help answer important questions facing society today. But processing them productively represents an interdisciplinary challenge at the interface of social and computer science.

Big data in disaster response is one of three theme modules in this course. It will be taught by the members of a group of Vrije Universiteit Amsterdam researchers working in a large project on social networks in disaster management. In this module the role of social networks in emergency response and data-gathering will be central. Analysis and interpretation of such data will be based on existing datasets.

In the theme module Digital society, you will look at publicly available sources of data on societal and political participation and discourse such as news items and social media messages. Zooming in on a specific theme that has sparked public contention, such as climate change, you will use text and network analysis methods to investigate the way public opinion is formed and the interaction between the discourse of leading politicians, journalists, and active citizens.

Employing data to understand social interactions in communities and markets at the individual level is the third theme that receives attention.

At the end of the course, you:

  • Understand and can use big data.
  • Are able to conceptualize the influences and theories surrounding big data.
  • Learned techniques to analyse various kinds of big data.
  • Can trace the impact of big data on social agents.
  • Understand the core legal and ethical issues of using such data for research.
  • Can work with fellow students from different backgrounds.

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