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Enregistrement W6949504520 · doi:10.5281/zenodo.15655132

Mapping of digital dialogues and identified EU-LAC agreements. Final version

2025· article· en· W6949504520 sur OpenAlexaboutno aff

Notice bibliographique

RevueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Langueen
DomaineComputer Science
ThématiqueE-Learning and Knowledge Management
Établissements canadiensnon disponible
Organismes subventionnairesEuropean Commission
Mots-clésEuropean unionFocus (optics)Set (abstract data type)Order (exchange)Diversity (politics)AllianceListing (finance)sort

Résumé

récupéré en direct d'OpenAlex

EU pending approval. This final version of the mapping of digital dialogues and EU-LAC agreements tries to capture and showcase the work undertaken by the SPIDER consortium in order to provide a screenshot of the digital transformation landscape between the European Union and Latin America and the Caribbean. The analysis reflects the complexity and diversity of ongoing dialogues and commitments, which take place across multiple levels: at the bi-regional EU- LAC level; bilaterally between the EU and individual LAC countries or between specific LAC countries and EU Member States — such as Brazil and Germany; and within multilateral frameworks such as MERCOSUR, the Pacific Alliance or the United Nations even. This final version tries to showcase the most important take-aways. The focus is set first on listing and giving a short description of the dialogues and agreements and their resulting commitments in illustrative tables, to introduce the most important reoccurring dialogue formats and to sort them by frequency. Following, the dialogues and agreements are analysed with the focus on (1) main actors involved in the dialogues, (2) different themes and key areasaddressed, such as AI, 5G, blockchain, virtual research environments etc., (3) practical applications emerging form the dialogues and agreements, such as accelerators, hubs or software platforms deriving from the dialogues as well as (4) resulting commitments such as next steps, following dialogues, upcoming funding programmes, working groups etc. Eleven Dialogues and agreements are shown in an exemplary way. A special add-on is a specific agent-based Artificial Intelligence (AI) algorithm resulting from the analysis in this report, which is capable of processing the vast underlying database of this report within seconds and generate reports. It is available on the SPIDER website. The mapping has been compiled using a methodology-mix of (1) desk research and manual analysis; (2) AI-driven mapping and analysis; (3) partner connections, networking and consultation. Throughout the report, AI-created pictures have been used for illustrative purposes as well as small highlighting boxes for dedicated milestones in the digital landscape. The following results and achievements have been reached with this mapping as of status 31. March 2025: 84 dialogues that took place between 2022 and March 2025 as well as 12 upcoming dialogues that will take place between March 2025 and December 20261, resulting in a total of 96 dialogues of relevance for the EU-LAC partnership. While the SPIDER project initially envisioned identifying eight to ten key dialogues (Description of Action, DoA), this target was quickly surpassed during the initial desk research conducted by the SPIDER consortium already for the interim version of this report2 delivered in May 2024. The 96 dialogues are sorted by category, differentiating between: Bi-regional EU-LAC dialogues (26 dialogues + 4 upcoming) Bilateral dialogues between the EU and individual LAC countries (5 dialogues) or between specific LAC countries and EU Member States (see chapter 6) Multilateral dialogues (53 dialogues + 8 upcoming) In total, 62 agreements and it outcomes and commitments have been mapped across the various levels of engagement: EU-LAC level agreements (18 agreements) Multilateral agreements (41 agreements) Bilateral agreements between the EU and individual LAC countries (3 agreements) or between specific LAC countries and EU Member States (see chapter 6) A cross-cutting analysis on the following components of main actors, main themes, practical applications and resulting commitments has been undertaken: The main actors from the dialogues and agreements could be clustered into four categories: Political Actors, Research and Innovation Performing Actors, Economic Actors and Other Actors (e.g. Society at large). The main themes of the SPIDER project as mentioned in the description of action include AI, 5G, Blockchain, Cloud Computing, Cybersecurity and VREs. Through the initial workshop this was already expanded by further keywords such as digital transformation or quantum technologies. Overall, five core themes were identified: Digital Transformation & Strategy Technology & Innovation Data & Governance Inclusion & Social Development Regional & International Cooperation In total 54 sub-themes of relevance for the SPIDER project were identified. An in-depth analysis of the SPIDER’s core themes AI, 5G, Blockchain, Cloud Computing, VREs, Cybersecurity, Quantum Technologies and Gender is given in relation with specific dialogues and agreements. Eight Practical applications are introduced and showcased from the overall mapping list, in addition to the practical applications that could be identified for the core themes in the section 7.2.1. The resulting commitments could be sorted into seven categories: Action Plans, Agreements, Declarations, Memoranda of Understanding, Resolutions, Regulations, Roadmaps and Other (e.g. communication from the European Commission, joint programmes, statements). The report features an exemplary in depth-analysis of agreements resulting from the dialogues (11 in total), providing the basis for a pilot AI-based-analysis. A dedicated chapter on gender and underrepresentation of women in the use of digital transformation technologies has been added as well as a dedicated chapter on EU digital dialogues with other countries and regions in the world (outside of LAC), including with the Indo-Pacific Region, Sub-Saharan Africa, the USA and Canada. The Annex of D1.3 provides the full list of dialogues and agreements with their commitments with the following set of components: Name, Format, Place, Date, Characteristics, Actors, Themes, Practical Applications, Resulting commitments, Links.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,017
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,103
Score d'incertitude au seuil0,344

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,017
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0050,009
Études des sciences et des technologies0,0020,001
Communication savante0,0070,003
Science ouverte0,0010,004
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,1030,023

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,043
Tête enseignante GPT0,242
Écart entre enseignants0,199 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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