I am an urbanist and I work as a consultant and developer in data analysis, visualization, and mapping.

I also teach classes and workshops on these topics.

I run Medida SP, an urban data visualization lab in São Paulo, Brazil.

Get in touch: Github, LinkedIn, Medium, bernardo@medidasp.com.


2016 | scenario-building, waste, gis

A scenario-building tool that helps users envision a Zero Waste New York City.

Used at a workshop hosted as part of my Master’s Thesis. Participants included community members, activists, urban planners, and waste management specialists.

Project site »

tools: AngularJS, Node. js, Leaflet, Highcharts, speculative design

2018 | maps, data vis, web

An interactive map of every street in Brazil visualized by the gender of its name.

The bar graph on the right displays the sum of streets for the current view, and is updated on- the-fly when the map is moved.

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tools: SQL, PostGIS, MapboxGL, vector tiles, Javascript, HTML, CSS

2017 | maps speculative design

A workshop where participants discuss the social and political implications of smart cities through speculative design and cartography.

Participants create speculative scenarios for a future 'São Paulo Smart City.' Then, they design basemaps and map-based narratives for their scenarios.

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tools: Mapbox, Odyssey.js, speculative design

team: Leila Santiago

2017 | narrative, web, research

A side-scrolling visualization displaying the several possible journeys for New York City’s waste.

The visualization was designed as a cross-section of these journeys, and uses photo montages, texts, and animated maps to convey its logistics.

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tools: HTML, CSS, jQuery, JavaScript, D3, Photoshop

client: Open House New York

2018 | research, maps, web

Based on never before visualized Census Data, the map allows the comparison of commute times in and accross different Brazilian cities.

Developed as part of a research paper, presented at the Brazilian National Transportation Agency Congress, 2018.

Project site »

tools: QGIS, SQL, PostGIS, CARTO

team: Pedro Guedes Romero Maia

publications: ANTP Congress, 2018

2017 | research, analysis, maps

Analysis of areas in the city of São Paulo where there is no residential package delivery (red) or longer times for delivery (purple), because of 'saftety concerns'.

Spatializing this data, previously locked in pdfs, showed the spatial disparity in service. Poor neighborhoods in the city’s periphery accounted for the great majority of these areas.

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tools: data scraping, QGIS, PostGIS, CARTO

publications: Nexo Jornal, Folha de São Paulo, UOL TAB

2018 | data vis, narrative, bots

A Twitter bot documenting cases of persons killed 'as a consequence of resisting police action' in the state of São Paulo.

It tweets street-level imagery of the location of the killing, along with data about the victims, prompting questions about police violence, inequality, place, and justice.

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tools: Python, OpenStreetMap, Google Street View

2018 | maps, narrative, web

Conquer and Divide is a map-focused, scrolling narrative about the occupation of Palestine, commissioned by the Israeli NGO B'Tselem.

As the user scrolls, map layers and animations are triggered, narrating a timeline of the more than five decades of occupation.

Project site »

tools: HTML, CSS, JavaScript, MapboxGL

team: Francesco Sebregondi (Project Coordinator)

client: Forensic Architecture