Jurian Baas

I do research with interactive data visualizations, prototypes and products to find possible answers and solutions to complex problems.

I work in a multidisciplinary design team at the innovation office of the municipality of Amsterdam. I had the privilege to work on subjects like affordable housing, the energy transition and accessibility.

I have a background as a political scientist, web designer, copywriter and UX researcher. Before starting at the municipality, I was freelancing as a data consultant at a bit of a data consultancy, where I still do the occasional gig. Before that I was head of community at the VC-backed and acquired data visualisation startup Silk.co.

I like programming, reading, music, philosophy, and movies. You can email me at jurian at this domain.

Selection of recent work

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Haltebuddy

Prototype

  • Prototype to prove information on public transport can be personalized according to the needs of people with a motor disability. We did lots of user research and testing with fully functional prototypes.
  • The public transport company of Amsterdam (GVB) has implemented the functionality of Haltebuddy in their app as 'Haltehulp'! 🎉
  • We also made an observable notebook with interactive documentation that was used by the developers that implemented the feature in the GVB app.
Dashboard for unnamed client

Interconnected graphs and maps

Dashboard

  • This client had a large collection of complex, interconnected data. We made a bespoke dashboard with connected maps and charts to prove valuable insight into the data.
  • Used Svelte, D3 and Tailwind together for the first time, can recommend!
Home owners project tool

Project tool for home owners

Prototype

  • Organizational tool for home owners that would like to sustainably renovate their homes with the home owners association.
  • Personalized information for different types of associations.
  • Remembers the steps you took and allows for notes.
  • Simple CMS with Airtable.
  • Active on the Nieuw Amsterdams Klimaat website, ready for version 2.
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Neighborhood compost in Amsterdam

Hobby project

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Social & Emotional Skills

The International Rescue Committee

  • Analysis and visualization of qualitative data gathered by the International Rescue Committee in the refugee camp Nyarugusu, in Tanzania.
  • Built a data pipeline with Python / Pandas to calculate ratios and percentages.
  • Made visualizations with D3.js and Billboard.js.
  • Made a presentation template in HMTL, CSS, and Python.
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Interactive network graph

Prototype

  • Network graph showing the average score between people in a certain date range.
  • Made with D3.js and Javascript.
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Amsterdam trash information

Hobby project

  • Web app to find information about collection times for trash in Amsterdam.
  • Uses multiple open APIs from api.data.amsterdam.nl/api/.
  • Uses geolocation or a typeahead address finder.
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Copyright gone wrong

Communia (via Kennisland)

  • Communia is a international organization that tracks EU decisions regarding copyright law. They score amendments on the Directive for Copyright in the Digital Single Market.
  • We visualized these scores with a Sankey built in D3.js.
  • The visualization can be configured and shared in the current configuration through URL parameters.
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Huisartsen & MSZ inzichten

Vektis - Health care insurers information

  • Vektis provides business intelligence to the public health sector.
  • While working at Data Science Lab I helped Vektis to visualize their public findings with D3.js.
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The Internet Health Report

The Mozilla Foundation

  • We took care of researching, collecting and cleaning all data for the first installment of Mozilla's annual Internet Health Report.
  • Presentation on Silk.co, passed over to design agency.
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Amsterdam Migration

Amsterdam Museum - Proof of concept

  • Animation of the migration of people with a Wikipedia and born or died in Amsterdam.
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Digital Skills Observatory

Mozilla + Bill & Melinda Gates Foundation

  • Research consulting and analysis of interviews with new smartphone users in Kenia.
  • Cleaned interview data with Python / Pandas, Openrefine and Google Sheets.
  • Made presentations with Silk.co, visualizations can be seen in the report 'Stepping Into Digital Life'.