NIMS: MagIC - Documentos de conferências internacionais
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- Improving coastal monitoring and forecasting systems through interoperable OGC API EDR-based data services [abstract]Publication . Dias, Telmo; Videira, Cesário; Lobo, Victor; Costa, Ana Cristina; Baptista, Márcia L.; NOVA Information Management School (NOVA IMS); Information Management Research Center (MagIC) - NOVA Information Management SchoolEffective coastal monitoring and forecasting systems rely on the availability and timeliness of interoperable, standardized, and accessible marine data across observational, modelling and service layers. Fragmented data formats, legacy infrastructures, and non-standardized access mechanisms remain significant barriers to the seamless integration of ocean observations into operational monitoring and forecasting systems and downstream applications. This study presents the development of a standards-based data workflow designed to enhance interoperability, scalability, and facilitate marine data integration, through the adoption of international standards and best practices. The proposed approach focuses on establishing robust data flows that transform, validate, and harmonize heterogeneous datasets (e.g., in situ near-real-time observations and numerical model outputs) into NetCDF format. Standardized and programmatic access to these datasets is enabled though the OGC API Environmental Data Retrieval protocol, implemented using the pygeoapi platform. By adopting open standards and service-oriented architectures, this framework enables efficient spatio-temporal querying of ocean variables, facilitating their assimilation into forecasting systems, decision-support tools, and customized applications. In parallel, geoportal interfaces were updated to integrate the new OGC API EDR services, ensuring that interoperable data access is available both through machine-to-machine interfaces and user-friendly graphical tools, supporting a broad range of user profiles and promoting citizen involvement and ocean literacy. By addressing interoperability at the data, service, and user-interface levels, this work demonstrates how standardized data infrastructures are key enablers for improved, scalable, and sustainable coastal monitoring and forecasting capabilities.
- Validation of CCDC Use with Sentinel-2 Time Series for Deforestation Detection in PortugalPublication . Louro, Filipe; Costa, Hugo; Caetano, Mário; NOVA Information Management School (NOVA IMS); Information Management Research Center (MagIC) - NOVA Information Management SchoolForest management planning and monitoring are complex tasks that require regular oversight. However, the widespread presence of smallholdings in Portugal and increasing rural abandonment make this task particularly challenging. The Continuous Change Detection and Classification algorithm is notable for enabling the analysis of trends in satellite image time series. While it has been widely used for continuous land cover change monitoring with Landsat data, it has seen limited application in Europe. The use of Sentinel-2 time series, offering higher spatial and temporal resolution and now covering a significant historical period, could be key to enabling CCDC for forest monitoring in Portugal and across Europe. This study aims to validate recently published parameter settings and processing optimizations for applying CCDC with Sentinel-2 data to detect deforestation events in Portugal. The methodology is compared against reference data on forestry activities provided by The Navigator Company. Results show strong agreement with the reference data, with eucalyptus stand harvest events detected with an F1-score of 0.86 and a detection lag of 19 days for 80%. There is no statistically significant difference in detection accuracy for smaller forest stands, suggesting the method is highly promising for monitoring in regions where smallholding forestry presents management challenges.
- The Psychological Hindrance of Threat Appeals in Green CSR CommunicationPublication . Young, Kai-Yi; Okazaki, Shintaro; Henseler, Jörg; Information Management Research Center (MagIC) - NOVA Information Management SchoolThis study investigates the effectiveness of threat versus efficacy appeals in green CSR communication using protection motivation theory. Findings from an experimental design reveal that efficacy appeals positively influence pro-environmental attitudes, while threat appeals backfire through perceived sustainability hypocrisy. Results highlight psychological hindrances to threat-based messaging, offering insights for sustainable communication strategies in business contexts.
- Socio-Economic Consequences of Generative AIPublication . Costa, Carlos J.; Aparicio, João Tiago; Aparicio, Manuela; NOVA Information Management School (NOVA IMS); Information Management Research Center (MagIC) - NOVA Information Management SchoolThe widespread adoption of generative artificial intelligence (AI) has fundamentally transformed technological landscapes and societal structures in recent years. Our objective is to identify the primary methodologies that may be used to help predict the economic and social impacts of generative AI adoption. Through a comprehensive literature review, we uncover a range of methodologies poised to assess the multifaceted impacts of this technological revolution. We explore Agent-Based Simulation (ABS), Econometric Models, Input-Output Analysis, Reinforcement Learning (RL) for Decision-Making Agents, Surveys and Interviews, Scenario Analysis, Policy Analysis, and the Delphi Method. Our findings have allowed us to identify these approaches’ main strengths and weaknesses and their adequacy in coping with uncertainty, robustness, and resource requirements.
- Pricing e-forwardsPublication . Bravo, Jorge Miguel; Information Management Research Center (MagIC) - NOVA Information Management School; NOVA Information Management School (NOVA IMS)For pension plans and annuity providers, using capital-market-based solutions is one of the options for managing excessive mortality and longevity risk exposures. The pricing of longevity-linked securities requires the use of stochastic methods to project future mortality developments and the particular premium principles to incorporate the market price of longevity risk in an incomplete life market setting. This paper investigates the impact of the mortality model, process and parameter uncertainty, and pricing rule uncertainty on the valuation of e-forward (life expectancy) contracts. Two model combination approaches for mortality forecasting are investigated – Bayesian Model Ensemble and Stacking Regression with elastic net as meta learner – together with two popular pricing principles, the Wang transform and the Proportional Hazard transform. Mortality and life annuity data for the Portuguese total population is used to calibrate the models and produce illustrative empirical results.
- A Survey of Modern Hybrid Particle Swarm Optimization AlgorithmsPublication . Grazioso, Matteo; Gallese, Chiara; Vanneschi, Leonardo; Nobile, Marco S.; NOVA Information Management School (NOVA IMS); Information Management Research Center (MagIC) - NOVA Information Management SchoolBio-inspired, population-based meta-heuristic for global optimization are very popular algorithms for addressing complex computational problems that traditional methods struggle to solve. Among the existing algorithms, the swarm intelligence algorithm Particle Swarm Optimization (PSO) is one of the most popular, thanks to its simplicity and effectiveness in multiple scenarios. This article focuses on recent hybrid optimization methods that extend the basic functioning of PSO. Hybridization, in this context, is defined as the integration of PSO with a different technique, to take advantage of the strengths of both algorithms. According to our findings, many variants have been proposed. The most frequent solutions consist of the hybridization of PSO with evolutionary operators (e.g. Genetic Algorithms and Differential Evolution); such strategies usually maintain a high degree of diversity into the population, enhancing global search capability, while reducing the risk of stagnation. Meanwhile the most widespread applications are from the areas of energy optimization, structural engineering and machine learning problems, demonstrating the versatility of these hybrid approaches.
- Biologically Realistic Bayesian Shape-Constrained Mortality Forecasting with Wavelet SmoothingPublication . Feroz, Afshan; Ashofteh, Afshin; Doosti, Hassan; NOVA Information Management School (NOVA IMS); Information Management Research Center (MagIC) - NOVA Information Management SchoolMortality forecasting plays an essential role in public health planning and pension systems. Traditional models without shape constraints may provide results that fail to respect biological realism. This study extends the classical Lee-Carter model within a Bayesian framework, combining wavelet smoothing and demographic constraints to enforce monotonic patterns in both the very young and the elderly. The Bayesian Lee-Carter approach includes domain knowledge priors, posterior distributions, and uncertainty quantification while enabling enforcement of shape constraints to maintain realistic age-specific mortality curves, building on an ensemble learning approach using ARIMA, Singular Spectrum Analysis (SSA), and Multi-Layer Perceptron (MLP). Using French mortality data from 1916-222, with 1916-22 for model training and 221-222 for out-of-sample testing, the constrained approach achieves improvements in accuracy measures (RMSE, MAE, MAPE). The model achieves convergence (R-hat) and 14−18% RMSE improvements with R-squared exceeding .94. Validation confirms improved predictive performance.
- A Toolkit for Tourism AccessibilityPublication . Pelliza, Candela S.; Areosa, Inês; Jardim, Bruno; Neto, Miguel de Castro; Information Management Research Center (MagIC) - NOVA Information Management School; NOVA Information Management School (NOVA IMS)Accessibility is increasingly recognised as a key dimension of urban sustainability, particularly when analysed from a pedestrian perspective, driving an extensive research corpus. However, most studies focus on residents' experiences, overlooking the specific context of tourism, where walking is a crucial mode of mobility enabling access to landmarks and attractions. As cities like Porto (PT) face growing pressures from tourism inflows, developing tools to analyse and manage accessibility and the walking experience becomes essential. This work presents a toolkit for tourism accessibility assessment in Porto. By developing a replicable framework for tourism proximity analysis and a tourism-specific walkability index, the toolkit aims to represent city-wise walkable tourism infrastructure, supporting residents, visitors, tourism operators, and city managers for data-driven decisions, aiming at achieving more sustainable and resilient cities.
- Developing a Computer System Prototype to Support Aphasia RehabilitationPublication . Nogueira, Nuno; Mamede, Henrique Pereira S.; Santos, Vitor; Malta, Pedro Maia; Santos, Carolina; Information Management Research Center (MagIC) - NOVA Information Management School; NOVA Information Management School (NOVA IMS); Escola Nacional de Saúde Pública (ENSP)The purpose of this study is to describe the construction process and the evidence of content validity of SCARA, a prototype of a technological system to support language and communication rehabilitation in people with aphasia, providing a tool that serves both patients and health professionals who accompany the respective recovery process. The process followed four stages: internal phase of the program's organization, with research in the literature and analysis of the materials available in the Portuguese market; construction of the SCARA prototype; evaluation by experts; and data analysis. A Content Validity Index was calculated to determine the level of agreement between the experts. The level of agreement between experts showed the validity of SCARA. SCARA has shown to help the work of the speech-language pathologist and persons with aphasia, contributing to a higher therapeutic quality, enhancing linguistic recovery, and compensating for the impossibility of direct support more frequently and/or prolonged intervention.
- Evaluating the Impact of Cross-Chain Deployment on Dapps' Market Performance in Web3 EcosystemsPublication . Pereira, Joana R.; Information Management Research Center (MagIC) - NOVA Information Management School; NOVA Information Management School (NOVA IMS)This paper investigates the impact of cross-chain deployment on the market performance of decentralized applications (Dapps) within the evolving multichain Web3 ecosystem. While cross-chain Dapps benefit from broader user reach, improved scalability, and enhanced resilience, they also face significant challenges, including technical complexities, security risks, and fragmented liquidity. This paper analyses how Dapps' transaction distribution across multiple blockchains influences their market performance. Preliminary findings reveal that Dapps operating on multiple chains tend to underperform in terms of market capitalization, token price, and transaction volume compared to those concentrated on a single or few chains. These results highlight critical concerns about the effectiveness of cross-chain strategies.