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Percorrer Faculdade de Ciências e Tecnologia por Objetivos de Desenvolvimento Sustentável (ODS) "01:Erradicar a Pobreza"
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- Analyzing economic and social inequalities in housing: a visual storytelling case study in PortugalPublication . Crespo, Afonso; Barateiro, José; Cardoso, ElsaHousing inequalities remain a major challenge for contemporary urban governance, as they combine economic, social, spatial, and demographic dynamics that are difficult to capture through single indicators. This paper develops a data-driven assessment of housing inequalities in Portugal between 2015 and 2025, drawing on official national and European statistics and applying a Business Intelligence (BI) and urban analytics framework oriented towards policy monitoring. Official data from Statistics Portugal and Eurostat are integrated through an analytical pipeline including automated extraction via public APIs, data enrichment, and visual analytics. The workflow follows a CRISP-DM-inspired structure, creating a set of normalized indicators to capture different dimensions of housing conditions. The results point to a structurally polarized housing market. Housing valuations increased across all regions, but at uneven rates, reinforcing territorial disparities rather than convergence. Metropolitan and tourism-oriented regions experienced faster appreciation and indirect effects, while year-over-year growth in completed dwellings slowed after 2021–2022, indicating an uneven supply response. Beyond its empirical findings, the primary contribution of this study lies in demonstrating how BI and data science methodologies can be operationalized to monitor housing inequalities using official statistics. The proposed framework is replicable and can be adapted to other territorial and policy contexts.
- Self-organization of social hierarchies studied with Monte-Carlo simulations; self-destroying join-believe-fight system as an inevitable outcomePublication . Stallinga, PeterMonte-Carlo simulations were used to describe the interactions between cellular automata, socio-economic ‘agents’, in society. In a first simulation we repeat work in literature of a system of independent agents. We repeat the finding that the strongest agent will confiscate all wealth. In a second simulation we show how agents can prevent against such theft, or steal better, by joining forces. So-called join-believe fight (joining, believing unquestionably in the narrative of the faction, and fighting other factions). We now take cooperations between factions of joined agents into account. The final outcome is that society obliterates libertarians (those that are reluctant to join forces) and winds up in a situation in which all surviving agents are joined in a single faction. However, it is reasoned that then fights within this single faction will start, since this end situation resembles the starting point of entire society; the single faction has become entire society and the game recommences. It is a snake that bites its own tail and goes around forever attacking.