Spatial machine-learning analysis of child indicators

Informazioni relative al progetto

SMALACI

ID dell’accordo di sovvenzione: 101106953

DOI

10.3030/101106953

Progetto chiuso

Data della firma CE 2 Maggio 2023

Data di avvio 1 Febbraio 2024

Data di completamento 31 Gennaio 2026

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 203 464,32

Coordinato da

RIJKSUNIVERSITEIT GRONINGEN
Netherlands

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Documents, reports (1)

Communication, Dissemination & Exploitation Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Pubblicazioni

Peer reviewed articles (5)

Beyond single metrics: a multidimensional approach to child growth and development—a decade-long review of an IUNS task force (2013– 2024)

Autori: Hinke H. Haisma, Barnali Chakraborty, Muhammad Dhansay, Zaina Mchome, Sridhar Venkatapuram, Sepideh Yousefzadeh and Rolando Manuel Gonzales Martinez
Pubblicato in: Journal of Nutritional Science, ISSN 2048-6790
Editore: Cambridge University Press
DOI: 10.1017/JNS.2026.10085

A Novel Nonlinear Fertility Catastrophe Model Based on Thom’s Differential Equations of Morphogenesis and a Topological Alternative to the Micro-Macro Divide in Demography

Autori: Rolando Gonzales Martinez
Pubblicato in: Studies in Nonlinear Dynamics & Econometrics, 2025, ISSN 1081-1826
Editore: Walter de Gruyter GmbH
DOI: 10.1515/SNDE-2025-0048

A bivariate catastrophe model for non-orthogonal decentralized digital currencies

Autori: Rolando Gonzales Martinez
Pubblicato in: International Review of Economics & Finance, Numero 105, 2026, ISSN 1059-0560
Editore: Elsevier BV
DOI: 10.1016/J.IREF.2025.104866

Trends in educational inequalities in obesity‐attributable mortality in <scp>England</scp> and <scp>Wales, Finland,</scp> and <scp>Italy</scp>

Autori: Fanny Janssen, Rolando Gonzales Martinez, Nicolás Zengarini, Pekka Martikainen, Anton Kunst
Pubblicato in: Obesity, Numero 33, 2025, ISSN 1930-7381
Editore: Wiley
DOI: 10.1002/OBY.24225

Nanotheoretical returns and Stochastic Modeling in Nanofinance: Economic Implications for Informal, Unregulated Markets

Autori: Taoer Yang, Rolando Gonzales Martinez
Pubblicato in: Computational Economics, 2025, ISSN 0927-7099
Editore: Springer Science and Business Media LLC
DOI: 10.1007/S10614-025-11167-W

Monographic books (1)

Ultra: Dystopian Nightmares and Utopian Dreams of Artificial Intelligence

Autori: R.M. Gonzales Martinez
Pubblicato in: 2025
Editore: University of Groningen Press
DOI: 10.21827/68920F4B1F27F