ATENÇÃO: Esta página foi traduzida automaticamente pelo Google Translate. Isto pode ter consequências inesperadas no conteúdo apresentado e, portanto, não nos responsabilizamos pelo resultado dessa tradução automática.
ATTENTION: this page has been automatically translated by Google Translate. This can have unexpected consequences and, therefore, we do not take responsibility for the result of that automatic translation.
Data is now a driving force behind the economy, society and science. The extraordinary growth in its volume, the ever-increasing speed at which it reaches us and the variety it incorporates, not to mention the uncertainty about its veracity, the so-called Big Data, influences every aspect of our lives, both at work and in society. From management practices, the functioning of financial entities, public bodies and policies, business operations, teaching and scientific discovery, health and the environment, data is the fuel on which many discovery and decision-making processes are based and much of today's progress.
It is from data that information can be extracted and knowledge generated, using algorithms and Machine Learning techniques to create models capable of sustaining knowledge and supporting decision-making. In turn, these models can be incorporated into intelligent systems (Artificial Intelligence) that make it possible to adjust to new data and automate the extraction of information for forecasting or information visualization
For all this, it is increasingly important that professionals trained in the deontological ethics of Data Science, an inherently multidisciplinary field, can dialogue, share experiences and create new synergies that enhance sustainable projects and in favour of sustainability.
We are the GMCDI (Data Science Mission Group at Iscte), created with the intention of enhancing Iscte's expertise in Data Science. With this page, we want to show that Iscte is building content and skills in this area, from the training of specialized professionals (we launched the 1st Degree in Data Science in the country, a Master's Degree in Data Science and specialization in Doctoral Program, among other training offers), to carrying out Research and Research & Innovation projects, as well as collaborations with business entities, non-governmental organizations and public administration.
Iscte's very structure, with five Schools - Technology and Architecture, Economics and Management, Social Sciences and Humanities, Sociology and Public Policy and, at Iscte-Sintra, Applied Digital Technologies - naturally allows for a proximity that fosters collaboration between researchers and consistently contributes to the development of interdisciplinary thinking and work, i.e. what is fundamental to success in Data Science.
The truth is that we are always open to new collaborations and challenges.
