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  • MozFest (Mozilla Festival)
  • mozfest-program-2018
  • Issues
  • #68
Closed
Open
Issue created Jul 03, 2018 by mozfest-bot@mozfest-bot

Explore & Learn from your Personal Data - Together

[ UUID ] fff0c136-6524-4d52-ac32-6213bec10f44

[ Session Name ] Explore & Learn from your Personal Data - Together [ Primary Space ] Openness [ Secondary Space ] Web Literacy

[ Submitter's Name ] Bastian Greshake Tzovaras [ Submitter's Affiliated Organisation ] Open Humans / openSNP / BerkeleyLab [ Submitter's GitHub ] @gedankenstuecke

[ Other Facilitator 1's Name ] Athina Tzovara [ Other Facilitator 1's GitHub ] @aath0


[ Language ] German Greek French

[ Localisation Support Requested ] No, I can host the session myself


What will happen in your session?

We all have massive collections of personal data all over the web: GPS recordings and activity monitoring done through our phone or wearables like Fitbit, our social media footprints, for some of us even our genomes. In this session we will see how we can leverage the strengths of the web to take control of our own data and explore – which is timely given that the recent GDPR highlights and ensures data portability from web services. After a brief introduction we will apply these techniques together to do notebook-based data analyses on our personal data which can easily be shared and modified.

What is the goal or outcome of your session?

Participants of this session will learn how to export their personal data from a variety of web services to obtain their own copies. Furthermore, participants will learn how they can analyze their personal data – from sources like Twitter, Fitbit, Apple Healthkit, Google or whatever other data sources participants would like to see. These analyses will not only enable them to learn about themselves in the spirit of Quantified Self, but also to see what inferences are possible from their own data footprint.

If your session requires additional materials or electronic equipment, please outline your needs.

a projector and pens/paper would be great!

Time needed

90 mins

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