Lia Patrício

Lia Patrício is a Member of the Board of INESC TEC, is Associate Professor at the Faculty of Engineering of the University of Porto, she, and she is scientific director of the Engineering and Public Policy area of the CMU-Portugal Program. Her research focuses on Engagement and Service Design and Innovation for Service System Transformation. She coordinated the project with the Portuguese Ministry of Health for the design of the Portuguese Electronic Health Record and she was Principal Investigator of the Service Design for Innovation Marie Curie - Innovative Training Network, and us currently leader of the WPs on citizen engagement and service design of the European projects POCITYF and DECODIT. She has also conducted research projects on the design of technology enabled services with the industry, from Energy, Healthcare, Banking, Transportation or Retailing. Lia Patrício is associate editor of the Journal of Service Research. She is Global Faculty Member of the Center for Services Leadership, Arizona State University and Academic Scholar at the Cornell Institute for Healthy Futures. Her research has been published in the Journal of Service Research, Journal of Business Research, Journal of Cleaner Production, Journal of Service Management, Design Studies, Energy Policy among others.

Domains

Industrial Engineering and Management Power and Energy Systems Systems Engineering and Management Board of Directors

Projects

POCITYF

The POCITYF smart city project mobilises two Lighthouse cities and six 6 Fellow cities aiming to promote environmental sustainability and energy efficiency while taking care of their cultural heritage by protecting their historical buildings. This project aims to promote and develop innovative solutions suited to transform the participating cities into more efficient, healthy, open, accessible, sustainable, prosperous, and thus, more attractive living environments.

A POsitive Energy CITY Transformation Framework

TRUSTAI

Due to their black-box nature, existing artificial intelligence (AI) models are difficult to interpret, and hence trust. Practical, real-world solutions to this issue cannot come only from the computer science world. The EU-funded TRUST-AI project is involving human intelligence in the discovery process. It will employ 'explainable-by-design' symbolic models and learning algorithms and adopt a human-centric, 'guided empirical' learning process that integrates cognition. The project will design TRUST, a trustworthy and collaborative AI platform, ensure its adequacy to tackle predictive and prescriptive problems and create an innovation ecosystem in which academics and companies can work independently or together.

Transparent, Reliable and Unbiased Smart Tool for AI

View all projects

Publications

It's the moment of truth: a longitudinal study of touchpoint influence on business-to-business relationships

Cambra-Fierro, J;Patrício, L;Polo-Redondo, Y;Trifu, A;

2024

JOURNAL OF RESEARCH IN INTERACTIVE MARKETING

Understanding service ecosystem dynamics: a typology

As'ad, N;Patrício, L;Koskela-Huotari, K;Edvardsson, B;

2024

JOURNAL OF SERVICE MANAGEMENT

SDG commentary: services that enable well-being of the human species

Hammedi, W;Parkinson, J;Patricio, L;

2024

JOURNAL OF SERVICES MARKETING

Citizen engagement with sustainable energy solutions- understanding the influence of perceived value on engagement behaviors

Banica, B;Patrício, L;Miguéis, V;

2024

ENERGY POLICY

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Supervised theses

3D pose estimation in a multi-camera scenario

Francisco Renato Barbosa Pires

M - 2024

UP-FEUP

Centres

Board of Directors

Industrial Engineering and Management

The Centre for Industrial Engineering and Management (CEGI) is internationally recognised in the fields of decision science, optimisation, operations management and service engineering. The mission is to support organisations and communities in decision-making by harnessing the power of data to develop robust and sustainable solutions to complex problems. Research at CEGI focuses on real-world challenges like transport planning, supply chain management, healthcare service networks, industrial operations optimisation, disaster response and recovery, and the impact assessment of public policies. By resorting to Artificial Intelligence, data science and mathematical modelling, CEGI aims to understand system behaviours, improve process efficiency, increase organisational resilience, and anticipate the effects of decisions in uncertain contexts. CEGI operates across critical sectors including mobility, healthcare, retail, industry, energy, and services, focusing on digital transition and sustainability. We collaborate with academia, companies, municipal authorities, hospitals, and regulators, transforming scientific knowledge into applied solutions. We believe that evidence-based management is key to tackling the challenges of a constantly changing world.