Hi, i’m Giacomo and

I’m an information designer with a strong passion for

critical cartography and internet geographies

. I’m particularly interested in questioning the ethics of

machine learning systems

and to create my own datasets

. I occasionally develop my own tools to do

graphic design

, or to gather information from the

internet

. Apart from that, i photograph weird food and i share music with my brother on a weekly basis. If you are interested in this random nonsense, feel free to write me digitally or physically.



I create maps by geolocating data from different online sources.
Spanning from the Internet Archive to social media's API.

The Oceanic Pole of Undefined Liability ↑

Project developed with Julian Peschel as part of GEO—DESIGN, an exhibition by Design Academy Eindhoven running at Van Abbemuseum from 19 October until 17 November 2019.

It displays a counter narrative on the perception of space debris as a purely space-related issue, highlighting the regular yet elusive predictable impacts on the marine environment of reentering debris. Scattered across the high seas, they reflect a complex legal dilemma regarding the responsibility and liability of stakeholders for potential damage.
You can see the documentary here and the timeline here

All the maps were created with Qgis and D3. All of the data analysis was done in Python with using data derived from NORAD (North American Aerospace Defense Command), T.S. Kelso - CelesTrak (source for orbital element sets) and USSTRATCOM (United States Space Surveillance Network).

Debris in the Pacific Ocean ↑

A timeline displays all the space debris that fell in the South Pacific Ocean, from the 50's until 2019.

The users who taught TayTweets ↑

This map is part of the research that i developed at Design Academy Eindhoven as a master thesis. It displays all the users that engage with the Twitter bot TayTweets during the few days it was online. With the aim of questioning who are the individuals training machine learning algorithms it reveals all the people that turned the bot racist . The map was made possible thanks to the backups made by the Internet Archive, Reddit and the Twitter API.

Unconscious teachers ↑

Unconscious teachers is a project developed as a master thesis for the Information Design department at Design Academy Eindhoven. The project revolves around an interactive database which reveals how workers are exploited in training Western image-recognition systems. Artificial intelligence is not automatic. Computers need people to teach them. The manpower hired to tag images is sourced as underpaid labour in countries such as India. Therefore, the project aims to increase awareness of the human cost of AI.
A vast hidden workforce is made visible by mapping the locations of workers who tag images for Microsoft COCO, a data set collected from Flickr and used in machine learning. The project highlights the chasm between the foreign workforce and the Western image content.

The project was made possible thanks to the MS COCO API, Flickr API and Mechanical Turk Demographics. The database was created with Python while the front-end with D3.

Come ne parla ilPost? ↑

An ongoing machine learning visualisation made in collaboration with Federico Nanni. The map aims to visualise all the places which the Italian online newspaper ilPost has talked about the most in the last 10 years. Highlighted in blue when in positive contexts, in clear red, when in negative contexts.

I'm interested in visualising machine learning algorithms,
to explain the environment in which they function.

I'm in love with the COCO ↑

This database is part of the master thesis i developed for the Information Design department at Design Academy Eindhoven. The project revolves around an interactive database which reveals how workers are exploited in training Western image-recognition systems.
A vast hidden workforce is made visible by mapping the locations of workers who tag images for Microsoft COCO, a data set collected from Flickr and used in machine learning. The project highlights the chasm between the foreign workforce and the Western image content.

The project was made possible thanks to the MS COCO API, Flickr API and Mechanical Turk Demographics. The database was created with Python while the front-end with D3.

Are From Earth ↑

The disproportionate and naive use of Machine learning Algorithms risks to emphasise stereotypes present in data. Whenever data reflects biases of the broader society, the learning algorithm captures and learns from these stereotypes. This is a matter of concern with Text Embeddings, a popular and worldwide used framework to represent text as vectors. Embeddings trained on Wikipedia, mainly used in softwares such as Google Home and Google Translate, or even in social media like Facebook and Instagram showcase sexism to a disturbing extent. Having vectors it’s then possible to calculate distances, therefore it appears that a word such as “Nurse” will be much more closer to “She” compared to “He”. On this website we visualize by a given input sentence the distinctions that this algorithm (Word2Vec) makes. Through a lexical analysis it’s possible to compare the subject of the written text with what is attached to it. It will therefore be possible not only to distinguish sexism but also racism (i.e. comparing names from different nationalities to the same profession).

Garbage In, Garbage Out ↑

This website investigates the socio-cultural biases present in machine learning algorithms and the representation of the World that is currently taught to Artificial Intelligence.

Generate Text Embedding ↑

An Open-Source website to generate text embedding

I play with optical patterns and flashing colors to create visual identities.

Academy of Fine Arts Bologna ↑

This ongoing project (2017 - 2019) focuses on the use of a specific application to draw multiples types of patterns. The countless variations that the tool can produce represent what the Academy of Fine Arts of Bologna constitutes: creativity, multidisciplinarity and mutual inspiration between students and teachers. Specifically, this project wanted to communicate my experience and memories as a student. It aimed to evoke the places where I first met my classmates, the entrance, the corridors, the inner courtyard, as well as the discussions outside the classrooms, the collaborations during the workshops, the continuous exchange of ideas, all represented as a wide system of interdisciplinary interactions.

Academy of Fine Arts Bologna ↑

A series of posters developed for the Academy of Fine Arts of Bologna

Badbird ↑

Glitching some logo's

I collect and reorganise the data I retrieve online.
With that, I create web apps, books and interactive visualisations.

Bologna Children's Book Fair - Database ↑

Using artificial intelligence to define new relationships between illustrators drawing styles. This interactive visualization displays the last 10 years of selected works from the Bologna Children's Book Fair organized using machine learning. To do so, a database with different types of drawing style has been created to specifically teach a machine learning algorithm to distinguish between different types of strokes and textures, gouaches and collages.

Come ne parla ilPost? ↑

An ongoing machine learning visualisation made in collaboration with Federico Nanni. This visualisation visualise all the people, things and places of which the Italian online newspaper *ilPost* has talked about the most in the last 10 years. Highlighted in yellow when in positive contexts, in purple, when in negative contexts.

World White Faces ↑

On a daily basis, a script collects images containing faces from Google News and displays them in a webpage.

ARKIVIO 2008/2009 ↑

ARKIVIO is a work in progress that reflects on the temporariness of digital archives. The project analyses the fragility of such archives and the invisible accumulation data. The information that was preserved in an old computer, has been edited and later displayed in a series of volumes containing photos, documents, images, videos, albums and especially conversations on Windows Live Messenger. Those memories are filling the pages of six books, reconstructing part of Francesco's adolescence, from 2008 to 2011, exploring that time when he was between the ages of 15 and 18.