Pint of Science 2025 | Dirty Duck, Coventry
Centre for Interdisciplinary Methodologies (University of Warwick)
Carlos Cámara-Menoyo
Senior Research Software Engineer
1. Geodesy
Is what figuring out where things are and how to record them. Focus is on mathematical foundations (coordinates, Earth’s shape).
This was once a huge scientific enterprise, today this is done by satellite and most of us, even very specialist geographers don’t have to think about it very much.
Keywords: precision, geolocation, GPS, LIDAR, coordinates system…
2. Cartogrpahy
Is how we visualize information about things in the world on maps .
The history of cartography is long and detailed, and the question of what was mapped by whom has dramatically shaped the modern world.
Keywords: projections, shapes, size, colour…
Governments
Motivation: public service
Official maps
Companies
Motivation: Business model.
Specific, detailed maps, related to their business model.
Individuals!
Motivation: diverse Coverage and precision: diverse
Each map involves a series of decisions that are anything but objective
No projection is perfect! Projection is an ‘unsolvable problem’ in that however we do it we are going to end up with some distortion somewhere on our map.
Or take the example of a crime map. Usually expressed in maps like this. Without any context, as it crime simply happens in some places. How would the story change if displayed public investment, too …or worse, ethnicity?
So what?
All maps are political and anything but neutral:
Either way, they influence/impact other people’s lifes, especially in less privileged/underrepresented population:
There’s a long history of maps and power
Can Digital Goods Be Neutral?
Evaluating OpenStreetMap’s equity through participatory data visualisation
We wanted to understand how these decisions around mapping were impacting under-represented communities.
We wanted to study a particular type of digital good: OpenStreetMap, to understand how neutrality is used to favour or hamper equity.
Katherine d’Ignazio and Lauren Klein’s Data feminism design principles
OSM is the largest and most exhaustive collaborative map of the world.
OSM’s data, contributed by 10,000,000 volunteers,
complements official data sources, and
populates thousands of tools and services.
Major Sites: Amazon, Apple, Baidu Maps, Facebook, Microsoft, Wikipedia and Wikimedia
Transport: Air France, Alaska Airlines, Deutsche Bahn, Grab, SNCF (French rail agency), Uber, Geodata Software and Services: CARTO, Digital Globe, ESRI, Garmin, Mapbox, Telenav
Government: Agence Française de Développement, Government of Brazil, Government of Italy: President’s Office, Police Scotland, US National Park Service, US State Department, USAID, Peace Corps….
Like Wikipedia, OSM is based
on principles of openness and neutrality
“OpenStreetMap maps world as it exists, and includes mapping borders and countries according to actual current situation and not a preferred or ideal situation” (OSM Wiki)
Participatory research: teaming with GeoChicas to codesign data visualisations
GeoChicas is a collective of feminist women linked to OpenStreetMap, originally Spanish-speaking, who work for women’s empowerment and the reduction of the gender gap in OpenStreetMap communities and in communities associated with the world of free software and open data.
Data visualisations as a method to:
Results are not representative, but significative: show a clear over-representation of certain demographics.
A dashboard showing how groups contribute to OSM
Initial findings show differences in how women contribute to OSM.
Planning a series of workhops aimed at creating maps that address particular needs of underrepresented minorities using data that is available in OpenStreetMap
Prompts:
Aim: what would you want the map to help you with?
Iconography: how are the icons being used?
Information being displayed or not: what do you want to be seen? How would you like it to be represented?
Audience:
People from non-hegemonic demographics (women, racialized, LGTBQ+) who feel that current maps do not sufficiently address their needs.
Map enthusiasts, Data visualization enthusiasts and OpenStreetMap users with a keen interest in EDI issues.
Activists, Researchers, or people sensitive to EDI issues and inequalities (we will particularly welcome people interested in issues related to gender, race or queer topics).
You are invited!
Bias in OSM’s contributors -> It is expected that it may influence how they contribute to the map -> and how the map looks like.
Awareness in OSM, but not much has done.
Difficult tension:
No map is perfect. No map is neutral. No map is finished.
OpenStreetMap is not an exception to this, but it is a cool project.
Our research aims to understand OSM better and contribute to make it more equitable.