Spatial machine-learning analysis of child indicators

Información del proyecto

SMALACI

Identificador del acuerdo de subvención: 101106953

DOI

10.3030/101106953

Proyecto cerrado

Fecha de la firma de la CE 2 Mayo 2023

Fecha de inicio 1 Febrero 2024

Fecha de finalización 31 Enero 2026

Financiado con arreglo a

• Marie Skłodowska-Curie Actions (MSCA)

Coste total

Sin datos

Aportación de la UE

€ 203 464,32

Coordinado por

RIJKSUNIVERSITEIT GRONINGEN
Netherlands

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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.

Publicaciones

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)

Autores: Hinke H. Haisma, Barnali Chakraborty, Muhammad Dhansay, Zaina Mchome, Sridhar Venkatapuram, Sepideh Yousefzadeh and Rolando Manuel Gonzales Martinez
Publicado en: Journal of Nutritional Science, ISSN 2048-6790
Editor: 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

Autores: Rolando Gonzales Martinez
Publicado en: Studies in Nonlinear Dynamics & Econometrics, 2025, ISSN 1081-1826
Editor: Walter de Gruyter GmbH
DOI: 10.1515/SNDE-2025-0048

A bivariate catastrophe model for non-orthogonal decentralized digital currencies

Autores: Rolando Gonzales Martinez
Publicado en: International Review of Economics & Finance, Edición 105, 2026, ISSN 1059-0560
Editor: 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>

Autores: Fanny Janssen, Rolando Gonzales Martinez, Nicolás Zengarini, Pekka Martikainen, Anton Kunst
Publicado en: Obesity, Edición 33, 2025, ISSN 1930-7381
Editor: Wiley
DOI: 10.1002/OBY.24225

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

Autores: Taoer Yang, Rolando Gonzales Martinez
Publicado en: Computational Economics, 2025, ISSN 0927-7099
Editor: 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

Autores: R.M. Gonzales Martinez
Publicado en: 2025
Editor: University of Groningen Press
DOI: 10.21827/68920F4B1F27F