Tutors: José Luís de Vicente, Mariana Quintero
Every future scenario is built by detecting “weak signals” that set trends and point to certain directions, based on the analysis of the main change factors we can detect in the present.
Atlas weak signals was a series of sessions which was aiming to undertand the present and develop the future scenarios. Every class we had a weak signal topic to discuss, and tried to develop the signal into a future scenario for a possible proposal based on the topic.
There are the 25 current Signals which were classified in five topics that constitute the ongoing Atlas:
Weak Signals: Fighting Anthropocene conflict (Others: Climate-conscience, Inter-species solidarity, Long termism, Carbon neutral lifestyles)
In the future, the world will be completely urbanized, there will be no distinction between the rural and the urban areas. The food production will be integrated in the city, so the future profession will be an urban farmer.
Food production inside the house, it’s a new type of convenience store. Each building produces its own food and the excess of each building can be exchanged with the neighbour building.
Team members: Anisa, Elsa, Isaul, Zoe, Ching-Chia
Weak Signals: The Truth Wars (Others: Circular data economy, Redesigning social, Dismantling filter bubbles, Attention protection)
In the year 2030, the fake news will become more realistic. No one cares about the truth, people only want to trust what they want to believe. People prefer to believe the news which is not real rather than the truth because there are so many small jokes that are harmless and it can attract more attention.
However, these small events will lead to a big disaster just because of sharing the wrong information...
It’s an agency composed of experts in various fields for managing all of the news in the world and they have offices in every country. FNI is also committed to improving people's media literacy in educational organizations.
Fake news checking app is developed by FNI. It’s an AI-based application which can collect many news sources from different places and analyse the background paths of the news rapidly. The AI system inside the App can aggregate data from the experts in different fields to check the information is truth.
Team members: Pablo, Tommaso, Luang, Ching-Chia
Weak Signals: Human-machine creative collaborations (Others: Technology for equality, Fighting AI bias, Imagining new jobs, Making universal income)
Team members: Caroline, Mads, Laura, Anisa, Ching-Chia
The assignment began by researching recent news around a political dimension of our projects that we want to explore. Trying to stay close and actually build possible scenarios. The scenario can be video news report but considering the situation or it can also be written news article.
Individually