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AIBOOST

About the Project

The project aims to achieve several significant impacts, with its central objectives focused on establishing and managing highly scalable AI open innovation competitions. These competitions are designed to draw the most accomplished research teams from across the European Union and Associated Countries, fostering scientific advancements in critical AI domains.

Acronym

AIBOOST

Responsible

João Gama

Status

active

Starting Date

January 1, 2023

Ending Date

January 28, 2027

Effective End Date

Global Budget

€3,999,500.00

Funding

€298,786.00

Website

Datasheet

Members

Team Leaders

João Gama

Research Coordinator

Team Members

Alípio Jorge

Centre Coordinator

Bruno Miguel Veloso

Senior Researcher

João Gama

Research Coordinator

Rita Paula Ribeiro

Senior Researcher

Dissemination

INESC TEC has a unique and differentiating management model, improved over its 35 years of history. Reflecting its unique position between academia and industry, the management at INESC TEC carefully balances, in a hybrid model, the academic culture of scientific freedom and dialogue with a culture of efficiency and responsibility in management.

link for

Associated Centres

Artificial Intelligence and Decision Support

Our Laboratory of Artificial Intelligence and Decision Support (LIAAD) conducts research in the fields of Artificial Intelligence, Machine Learning, Data Science, and Modelling. These areas are cross-cutting and apply to all sectors of society and the economy. The vast amounts of data being collected, alongside the ubiquity of digitalisation and sensorisation, are increasingly creating opportunities and challenges for automating decision support. The combination of Machine Learning and complex models is transforming the economy, healthcare, justice, industry, science, public administration, and education. This encourages us to invest in diverse technological and scientific approaches and perspectives. Our overarching strategy is to explore the flow and diversification of data, and to invest in research lines that will lead to the development of applied Artificial Intelligence foundations and models that are responsible and human centred.