Relevant bibliographies by topics / Article-level-metrics

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Academic literature on the topic 'Article-level-metrics'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Article-level-metrics"

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Chamberlain, Scott. "Consuming Article-Level Metrics: Observations and Lessons." Information Standards Quarterly 25, no. 2 (2013): 4. http://dx.doi.org/10.3789/isqv25no2.2013.02.

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von Graberg, Till. "Article‐level Metrics, Transparency and Open Research." Advanced Energy and Sustainability Research 4, no. 1 (2023): 2200195. http://dx.doi.org/10.1002/aesr.202200195.

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Lin, Jennifer, and Martin Fenner. "The many faces of article-level metrics." Bulletin of the American Society for Information Science and Technology 39, no. 4 (2013): 27–30. http://dx.doi.org/10.1002/bult.2013.1720390409.

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Handel, M. J. P. "Article-level metrics - it's not just about citations." Journal of Experimental Biology 217, no. 24 (2014): 4271–72. http://dx.doi.org/10.1242/jeb.117150.

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Mering, Margaret. "Bibliometrics: Understanding Author-, Article- and Journal-Level Metrics." Serials Review 43, no. 1 (2017): 41–45. http://dx.doi.org/10.1080/00987913.2017.1282288.

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Citrome, L. "Moving forward with article level metrics: introducing altmetrics." International Journal of Clinical Practice 69, no. 8 (2015): 811. http://dx.doi.org/10.1111/ijcp.12706.

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Fenner, Martin. "What Can Article-Level Metrics Do for You?" PLoS Biology 11, no. 10 (2013): e1001687. http://dx.doi.org/10.1371/journal.pbio.1001687.

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Trajkovski, Vladimir. "THE ROLE OF ARTICLE LEVEL METRICS IN SCIENTIFIC PUBLISHING." Journal of Special Education and Rehabilitation 17, no. 1-2 (2016): 5. http://dx.doi.org/10.19057/jser.2016.0.

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Gordon, Gregg, Jennifer Lin, Richard Cave, and Ralph Dandrea. "The Question of Data Integrity in Article-Level Metrics." PLOS Biology 13, no. 8 (2015): e1002161. http://dx.doi.org/10.1371/journal.pbio.1002161.

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Neylon, Cameron, and Shirley Wu. "Article-Level Metrics and the Evolution of Scientific Impact." PLoS Biology 7, no. 11 (2009): e1000242. http://dx.doi.org/10.1371/journal.pbio.1000242.

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Books on the topic "Article-level-metrics"

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Mikheev, Andrei. Text Segmentation. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0010.

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This article discusses electronic text as essentially just a sequence of characters. Text needs to be segmented at least into linguistic units such as words, punctuation, numbers, alphanumerics, etc. This process is called tokenization. The article mentions that most natural language processing techniques require text to be segmented into sentences as well. It briefly reviews some evaluation metrics and standard resources commonly used for text segmentation tasks. This article presents substantial challenges for computational analysis since tokens are directly attached to each other using pict
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Book chapters on the topic "Article-level-metrics"

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Flöck, Fabian, Roberto Ulloa, and Maribel Acosta. "Chapter 7. Live exploration of Wikipedia editing dynamics with visual analytics." In Studies in Corpus Linguistics. John Benjamins Publishing Company, 2024. http://dx.doi.org/10.1075/scl.121.07flo.

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The revision histories of Wikipedia articles are a rich source of data about the interactions of editors with each other and with the content, yet they are not straightforward to mine or understand. We describe two tools for visual analytics that support this effort: (i) An interactive browser extension to study word authorship, age, and conflict dynamics, which provides an overlay on live Wikipedia articles; and (ii) a novel interactive Jupyter Notebook package that allows us to run analyses of editorial dynamics out-of-the-box and is easily modifiable. Both leverage live data for any article
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"4.6 PLOS Article-Level Metrics." In Handbook Bibliometrics. De Gruyter Saur, 2021. http://dx.doi.org/10.1515/9783110646610-024.

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Singh, Rajvir, Anita Singhrova, and Rajesh Bhatia. "Optimized Test Case Generation for Object Oriented Systems Using Weka Open Source Software." In Research Anthology on Usage and Development of Open Source Software. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-9158-1.ch032.

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Detection of fault proneness classes helps software testers to generate effective class level test cases. In this article, a novel technique is presented for an optimized test case generation for ant-1.7 open source software. Class level object oriented (OO) metrics are considered as effective means to find fault proneness classes. The open source software ant-1.7 is considered for the evaluation of proposed techniques as a case study. The proposed mathematical model is the first of its kind generated using Weka open source software to select effective OO metrics. Effective and ineffective OO
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Lahmar, Arij, Habib Chabchoub, François Galasso, and Jacques Lamothe. "The VESP Model." In Supply Chain and Logistics Management. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0945-6.ch021.

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During the last decade, researchers and practitioners became more interested in the domain of vulnerability analysis. It is considered as a key element in defining and managing supply chain risks. The great complexity of a global supply chain and of its environment, coupled with managerial trends, makes such a chain more vulnerable to disruptive events. A clear understanding of the possible consequences generated of this combination is a fundamental step to build an effective risk management plan and strategies. However, more studies are needed in order to develop the understanding of supply c
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Dey, Sandip, Siddhartha Bhattacharyya, and Ujjwal Maulik. "Optimum Gray Level Image Thresholding using a Quantum Inspired Genetic Algorithm." In Advances in Computational Intelligence and Robotics. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9474-3.ch012.

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In this article, a genetic algorithm inspired by quantum computing is presented. The novel algorithm referred to as quantum inspired genetic algorithm (QIGA) is applied to determine optimal threshold of two gray level images. Different random chaotic map models exhibit the inherent interference operation in collaboration with qubit and superposition of states. The random interference is followed by three different quantum operators viz., quantum crossover, quantum mutation and quantum shifting produce population diversity. Finally, the intermediate states pass through the quantum measurement f
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Famiglini, Lorenzo, Andrea Campagner, and Federico Cabitza. "Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2023. http://dx.doi.org/10.3233/faia230327.

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Calibration is paramount in developing and validating Machine Learning models, particularly in sensitive domains such as medicine. Despite its significance, existing metrics to assess calibration have been found to have shortcomings in regard to their interpretation and theoretical properties. This article introduces a novel and comprehensive framework to assess the calibration of Machine and Deep Learning models that addresses the above limitations. The proposed framework is based on a modification of the Expected Calibration Error (ECE), called the Estimated Calibration Index (ECI), which gr
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Manohar, Mukesh, Ajit Kumar, Manish Kumar Singh, M. Anil Kumar, and B. S. Kiruthika Devi. "A Study on Security Schemes in Blockchain Technology." In Advances in Transdisciplinary Engineering. IOS Press, 2023. http://dx.doi.org/10.3233/atde221287.

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Block-chain is widely praised as an astounding advancement because of its recent development in security. Many believe that information stored in a block-chain is secure because of its decentralization and cryptographic methods. Consensus is the most important layer in block-chain architecture, and it is responsible for the network’s security and reliability. Block-chain schemes’ stabilization relies heavily on consensus-algorithms. The article provides an in-depth explanation of the most common consensus algorithms, including Proof-of-Work (PoW), Proof-of-Stake (PoS), Proof-of-Burn (PoB), Pro
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GONCHAR, Viktoriya, and Oleksandr KALININ. "SPECIFIC FEATURES OF ECONOMIC SECURITY SYSTEM FORMATION IN THE IMPLEMENTATION OF PARTNERSHIP DURING MERGERS AND ACQUISITIONS." In Strategic Partnership in Business: Theory, Methodology, Practice. Kyiv National Economic University named after Vadym Hetman, 2025. https://doi.org/10.35668/978-966-926-502-9-12.

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The focus of this study is the management system governing the economic security of a country and the repercussions of the shadow economy's influence on it. The research is exemplified by Ukraine, a nation with a notably high prevalence of clandestine activities in its business processes. At present, shadow incomes and agreements pose significant challenges to the income distribution and redistribution management system. The global nature of the economy and the deregulation of international mergers and acquisitions extend the impact of shadow capital beyond individual countries, bestowing it w
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Kolaczek, Grzegorz. "Trust Modeling in a Virtual Organization Using Social Network Metrics." In Social Computing. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-984-7.ch099.

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One of the most important factors in human interaction and communication is trust. Each organization performing its quotidian tasks use intentionally or involuntary established trust relations to estimate the probability of achieving the expected results or the level of confidentiality. As in societies that evolved from real world relationship (e.g. school, office, sport activity, etc.) also in virtual communities (e.g. chat rooms, Web boards, mailing lists, etc.) trust is one of the most fundamental type of binding among the group members. In this article the trust relation establishment and
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Conference papers on the topic "Article-level-metrics"

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Dobrokhotova, Maria, Dmitry Skobelev, and Maria Stepanova. "REGULATING CARBON INTENSITY IN FERROUS METALLURGY: NEW APPROACHES BASED ON THE PRINCIPLES OF BEST AVAILABLE TECHNIQUES." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/5.1/s20.29.

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The article describes the approaches to development of an effective regulatory mechanism to manage carbon intensity of Russian resource-intensive industries. The authors focus their attention on the ferrous metallurgy industry as the top emitter of greenhouse gases (GHG) and the second-largest consumer of energy among Russian industrial sectors. Resource consumption wise this sector is well-studies and regulated by the Best Available Techniques (BAT). Establishing the interrelation between carbon intensity indicators and resource consumption metrics, as well as operating costs per unit of cons
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Paparistodimou, G., A. Duffy, P. Knight, I. Whitfield, M. Robb, and C. Voong. "Network-based metrics for assessment of naval distributed system architectures." In 14th International Naval Engineering Conference and Exhibition. IMarEST, 2018. http://dx.doi.org/10.24868/issn.2515-818x.2018.030.

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The architecture of a system is generally established at the end of the conceptual design phase where sixty to eighty percent of the lifetime system costs are committed. The architecture influences the system’s complexity, integrality, modularity and robustness. However, such properties of system architecture are not typically analytically evaluated early on during the conceptual process. System architectures are defined using qualitative experience, and the early stage decisions are subject to the judgement of stakeholders. This article suggests a set of network-based metrics that can potenti
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Lučić, Bono, Viktor Bojović, Antonija Kraljević, and Jadranko Batista. "Confusion about the choice of evaluation metrics for model performance assesment in chemoinformatics, bioinformatics and in general." In 2nd International Conference on Chemo and Bioinformatics. Institute for Information Technologies, University of Kragujevac, 2023. http://dx.doi.org/10.46793/iccbi23.067l.

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In chemo/bioinformatics, we evaluate the quality of models using model performance parameters/metrics. A large group of models in this field are binary classification models, which are a consequence of the general digitization of information and data in chemistry and life sciences. When classifying different models developed with different methods and by different research groups for the same data sets, we try to classify the models according to their quality. In this case, the question of selecting appropriate metrics arises, leading to incorrect (non-optimal) application of inappropriate met
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Holden, Roger, Andy Portsmore, Simon Cheetham, Marco Chacin, and Oliver Selby. "Development of a Robotic System for Automated Drilling and Inspection of Small Aerostructures." In 2023 AeroTech. SAE International, 2023. http://dx.doi.org/10.4271/2023-01-1012.

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<div class="section abstract"><div class="htmlview paragraph">Traditional solutions developed for the aerospace industry must overcome challenges posed for automation systems like design, requalification, large manual content, restricted access, and tight tolerances. At the same time, automated systems should avoid the use of dedicated equipment so they can be shared between jigs; moved between floor levels and access either side of the workpiece. This article describes the development of a robotic system for drilling and inspection for small aerostructure manufacturing specificall
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Dobre, Iuliana. "AN OVERVIEW OF QUALITY OF SERVICE APPROACH IN E-LEARNING ENVIRONMENTS." In eLSE 2012. Editura Universitara, 2012. http://dx.doi.org/10.12753/2066-026x-12-023.

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Virtually the higher education organizations are looking to improve continuously their educational process and the effectiveness of the same. Specific quality standards for ensuring a proper approach to education quality have been developed in the past decade in order to better fit the clients and end users requirements. As shown in some studies (Chapman and Adams, 2002) the precise meaning of education quality and the path to improvement of quality are often left unexplained. Higher education has a very important role in ensuring that professional people are handed to end users (industrial an
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Luan, Siyao, Deborah L. Thurston, Madhav Arora, and James T. Allison. "Developing and Comparing Alternative Design Optimization Formulations for a Vibration Absorber Example." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-68337.

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In some cases, the level of effort required to formulate and solve an engineering design problem as a mathematical optimization problem is significant, and the potential improved design performance may not be worth the excessive effort. In this article we address the tradeoffs associated with formulation and modeling effort. Here we define three core elements (dimensions) of design formulations: design representation, comparison metrics, and predictive model. Each formulation dimension offers opportunities for the design engineer to balance the expected quality of the solution with the level o
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Moreno, Diana, Luciënne Blessing, Kristin Wood, Claus Vögele, and Alberto Hernández. "Creativity Predictors: Findings From Design-by-Analogy Ideation Methods’ Learning and Performance." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47929.

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There is still much to learn about the mechanisms and interactions by which psychological and cognitive factors influence creative performance in design, and more explicitly in design’s ideation stage. The present study aims to explore such influences for Design by Analogy (DbA) ideation methods. 69 participants from 52 companies in Mexico and Singapore executed two ideation sessions (phase I and phase II) to generate solution ideas for a service design problem (same design problem was used for both phases). Between the two phases participants were assigned and trained with one of three select
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Kopka, Bartosz, and Mariusz Żytniewski. "The System Ergonomics and Usability as a Measurement of the Software Agents Impact to the Organization." In Applied Human Factors and Ergonomics Conference (2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001217.

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The purpose of this article is to analyze the concept of ergonomics in theory of software agents and its use in the construction of agent systems that supports the knowledge based organizations. In particular, the study will be focused on testing methods in context ergonomics of the agent society and their use in the analysis of the impact of agents on the business processes in the organization. Modern organizations require knowledge-based construction solutions, which in conditions of pervasive communications will support the processes occurring in them. Such solutions can be software agents.
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Pompella, Maurizio, and Lorenzo Costantino. "ESG DISCLOSURE AND EMERGING TRENDS IN RESPONSIBLE INVESTMENTS: HOW ASYMMETRIC INFORMATION MAY IMPACT STABILITY AGAIN." In 12th International Scientific Conference „Business and Management 2022“. Vilnius Gediminas Technical University, 2022. http://dx.doi.org/10.3846/bm.2022.862.

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Environmental and social sustainability together with sound governance have increasingly attracted inter-est from consumers and investors, paving the way for the so called ESG finance. ESG criteria seem to reshape the way companies, investors and consumers behave. While laudable, the acceleration of ESG finance may raise concerns relating to the robustness underpinning this new set of financial products, as well as the reliability of ESG-related in-formation released by companies to design their public profile. A new breed of ESG ratings and rankings is enriching the metrics used by investors
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Otarbaeva, M. B., Sh B. Battakova, and A. U. Amanbekova. "DEVELOPMENT OF PROFOTOR CRITERIA BY HEALTH PARAMETERS FOR WORKERS OF BMZ WITH THE CALCULATION OF «SAFE EXPERIENCE»." In The 16th «OCCUPATION and HEALTH» Russian National Congress with International Participation (OHRNC-2021). FSBSI “IRIOH”, 2021. http://dx.doi.org/10.31089/978-5-6042929-2-1-2021-1-376-380.

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Summary: This article deals with the harm to the health of workers in harmful and hazardous working conditions, which is significant and requires the immediate implementation of measures aimed at reducing the occupational risk (PR). The categorization of the PR is carried out preliminary according to the classes of working conditions during the certification of workplaces, and finally - according to the health indicators of workers. The aim of the work was to develop criteria for professional selection and professional suitability in terms of health parameters for smelters of a metallurgical e
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Reports on the topic "Article-level-metrics"

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Valente Rosa, Maria João. Demographic ageing: the rigidity of conventional metrics and the need for their revision. IPR-NOVA, 2022. http://dx.doi.org/10.23906/wp63/2022.

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This article aims to discuss the scope and value of the conventional metrics used to assess and compare levels of ageing between different populations. The age brackets for classifying if the population is ageing or aged are typically based on chronological age and are very close to the stages of the economic tripartite life cycle: the school/education phase; the labour market participation phase; the retirement phase. Those conventional metrics produce distortions in capturing the levels of demographic ageing. If the change in the age structure is rooted in social development, not in a social
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Hegarty-Craver, Meghan, Hope Davis-Wilson, Pooja Gaur, Howard Walls, David Dausch, and Dorota Temple. Wearable Sensors for Service Members and First Responders: Considerations for Using Commercially Available Sensors in Continuous Monitoring. RTI Press, 2024. http://dx.doi.org/10.3768/rtipress.2024.op.0090.2402.

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Wearable sensors (“wearables”) provide a mechanism to monitor the health of service members and first responders continuously and remotely. Several wearables are commercially available, with different configurations, sensors, algorithms, and forms of communication. Choosing the “best” wearable depends on the information you need to make decisions, how often you need this information, and the level of accuracy required. In this article, we review six use cases for wearables that are relevant to the military and first responders. We examine the metrics measured and the wearables used. We conclud
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Hlushak, Oksana M., Svetlana O. Semenyaka, Volodymyr V. Proshkin, Stanislav V. Sapozhnykov, and Oksana S. Lytvyn. The usage of digital technologies in the university training of future bachelors (having been based on the data of mathematical subjects). [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3860.

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This article demonstrates that mathematics in the system of higher education has outgrown the status of the general education subject and should become an integral part of the professional training of future bachelors, including economists, on the basis of intersubject connection with special subjects. Such aspects as the importance of improving the scientific and methodological support of mathematical training of students by means of digital technologies are revealed. It is specified that in order to implement the task of qualified training of students learning econometrics and economic and m
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Warin, Thierry, and Sarah Elimam. GDP 5.0: Real-Time, Micro-Founded and Sustainable Metrics for Beyond-GDP Economic Assessment. CIRANO, 2025. https://doi.org/10.54932/wfji8791.

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Gross Domestic Product (GDP) remains the dominant yardstick for economic performance, yet its aggregated, nation-bound and market-exclusive nature obscures crucial dimensions of prosperity, equity and environmental sustainability. Building on recent advances in data science and the expanding “Beyond-GDP” literature, this article argues for a generational shift in economic measurement designated “GDP 5.0.” This new approach of GDP integrates high-frequency, geolocated micro-data with artificial-intelligence methods to generate real-time dashboards of economic activity, social welfare and planet
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