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EMERITUS

About the Project

Environmental crimes’ intelligence and investigation protocol based on multiple data sources

Acronym

EMERITUS

Responsible

João Gama

Status

Concluded

Starting Date

January 1, 2022

Ending Date

January 31, 2025

Effective End Date

January 31, 2025

Global Budget

€4,946,571.00

Funding

€237,500.00

Website

https://emeritusproject.eu/

Datasheet

Members

Team Leaders

João Gama

Research Coordinator

Team Members

João Gama

Research Coordinator

Matias Daniel Molina

Rita Paula Ribeiro

Senior Researcher

News & Events

INESC TEC tests Artificial Intelligence to improve investigation competences in environmental crimes

February 26, 2024

INESC TEC researcher won PAIS Outstanding Paper Award at the European Conference on Artificial Intelligence

November 14, 2024

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.

EMERITUS Factsheet

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.