DECISING – DECISion science and management engineerING | CEGIST

About

Driven by real world challenges on the frontiers of engineering and management, and grounded on the principles of decision-making and decision-aiding theory, the Decision Science and Management Engineering (DECISING) branch of CEG-IST is a multimethodological area that develops methods, models, decision-support tools and knowledge to assist engineering management practice in complex contexts that involve diverse stakeholders, multiple objectives and several sources of uncertainty. At DECISING we follow a collaborative-learning constructivist paradigm integrating socio-technical processes to design sustainable solutions to problems of performance appraisal and value measurement, evaluation and prioritization, resource allocation and budgeting, risk analysis, project management, policy design and strategic choice. Our mission is driven by industry innovation, multidisciplinary research and spin-off partnerships, and is currently focused on (although not limited to) health, energy, and environmental settings, always exploring cross-fertilization with the other areas of CEG-IST and international collaboration.

Group Leader

Mónica Duarte Oliveira

Integrated member

Full Professor

Selected Publications

Resource management process framework for dynamic NPD portfolios

International Journal of Project Managemeent | 2015

Jose Figueiredo

Rui Abrantes

Scenarios for population health inequalities in 2030 in Europe: the EURO-HEALTHY project experience

International Journal for Equity in Health | 2019

A. Alvarenga

C.A. Bana E Costa

C. Borrell

P.L. Ferreira

Â. Freitas

L. Freitas

M.D. Oliveira

T.C. Rodrigues

P. Santana

M. Lopes Santos

A.C.L. Vieira

Supporting Multicriteria Group Decisions with MACBETH Tools: Selection of Sustainable Brownfield Redevelopment Actions

Group Decision and Negotiation | 2017

Ricardo Mateus

João Costa

Pedro Matos

Using a segmenting description approach in multiple criteria decision aiding

Expert Systems with Applications | 2020

M. Kadziński

J. Badura

J.R. Figueira