Being security assumed as a basic right of citizens in the current model of democratic rule of law, optimal resources allocation altogether with budgetary constraints are a key component. In fact optimal resources allocation and budgetary constraints oblige an increasingly careful strategic management, adapted to demographic reality. The SIM4SECURITY project aims to build a technological solution to support decision making regarding security, based on the development of a GIS model and in the implementation of demographic scenarios. This model will allow policy makers, leaders and forces of command units and services in the planning and rational affectation of resources adjusted to local dynamics in crime prevention and crime fighting. To communicate the SIM4SECURITY results and support decision making, a data visualization and storytelling approach was adopted by creating dashboards containing the various dimensions and perspectives of the information were elaborated and are presented. The obtained outcomes show that dashboards are an important visual tool in the decision-making process by providing meaningful insights regarding security and in the location-allocation of security forces.

Cities of today face a digital transformation process, leading to a new reality where urban space is taking advantage of information and communication technologies and data science to answer present and future challenges, namely to become more efficient in services and infrastructures management in order to deliver increased quality of life to the people who live, work or visit the city, and addressing at the same time the problems of climate change. This new reality is leveraged by big data produced by the cities Internet of everything (as interconnected systems, sensors and people), information management and data science capabilities, which allow us to measure and describe what happens, predict what can happen, and prescribe what could be the course of actions bringing policy making to a fact-based environment, which had never been possible before. In this work, we will address the opportunities and challenges of this paradigm shift that is leading to the city as a platform reality that supports what we can call the algorithmic city where it is up to us to decide if this will be a dystopic or utopic future for the citizen.

In the current model of democratic rule of law, security is assumed as a basic right of citizens. Optimal resources allocation and budgetary constraints oblige an increasingly careful strategic management, adapted to demographic reality. The SIM4SECURITY project aims to build a technological solution to support decision making regarding security, based on the development of a GIS model and in the implementation of demographic scenarios. This model will allow policy makers, leaders and forces of command units and services in the planning and rational affectation of resources adjusted to local dynamics in crime prevention and crime fighting. To communicate the SIM4SECURITY results, dashboards containing the various dimensions and perspectives of the information were elaborated and are presented. The obtained outcomes show that dashboards are an important visual tool in the decision-making process by providing meaningful insights regarding security and in the location-allocation of security forces.

Enterprise Information Portals (EIP) are being increasingly referred in the literature as one interesting technological solution to support organizations in their knowledge management initiatives. This paper seeks to explore the hidden potential of enterprise information portals to support knowledge management initiatives through the usage of social network analysis on research results and co-authorship/co-work relationships that may suggest ways to more effectively utilize knowledge capital and other organizational resources. For that purpose in this paper we will present field research results on evaluating knowledge management and human capital assets based on EIP data repositories using social network analysis. This evaluation will be made through the use of social network analysis techniques applied to authorship data from papers published in international journals with refereeing covering the last twenty years of research activities from a Portuguese leading research institution in the field of telecommunications - Instituto de Telecomunicações (IT).

A agricultura, enquanto atividade essencial e sob pressão para satisfazer necessidades alimentares crescentes e responder à sustentabilidade do planeta, encontra-se hoje no epicentro de uma transformação estrutural impulsionada também pelo avanço exponencial das tecnologias digitais, pela ubiquidade da recolha de dados e pela capacidade de ação No entanto, sendo inquestionável que atravessamos atualmente uma profunda transformação, fortemente impulsionada pela rápida adoção de tecnologias digitais decorrente da crescente oferta de produtos e serviços a custos cada vez mais acessíveis, não é menos verdade que este movimento, conhecido hoje como agricultura inteligente não é novo.

A smart city can be seen as a urban space that takes advantage of information and communication technologies and data science to answer todays challenges, namely to become more efficient in services and infrastructures management and to deliver increased quality of life to the people who lives, works or visits the city, not forgetting the support to fight climate change. In this framework cities governments are nowadays under pressure and going through a digital transformation process that is translated in the proliferation of "Smart Cities" initiatives around the world as part of the strategic response to the challenges and opportunities of growing urbanization and climate change altogether with the emergence of cities as a space for social and economic development . In this work we will propose a concept of urban intelligence and its building blocks that result from the city digital transformation process which will lead to a paradigm shift leading to the city as a platform where urban planning and management is supported by urban analytics and real time data.