Analysis Dashboard
A data-driven overview of EU-LAC digital cooperation — who participates, what topics they address, how cooperation has evolved over time, and how well documents reflect the principles of inclusive, sustained, and impactful collaboration.
Cross-Sector Collaboration Network
Question this answers: Who collaborates with whom, and on what? The network maps how actor types (blue nodes — governments, research bodies, businesses, civil society) connect to thematic areas (green nodes — digital strategy, data governance, inclusion, etc.) across all EU-LAC cooperation documents. A line between an actor and a theme means documents exist where both appear together. Thicker lines indicate more shared documents — stronger or more sustained collaboration. Larger nodes are more central to the network (connected to more partners or topics). Use this map to spot which actors drive which agendas, and which themes remain underdeveloped or isolated. Hover over any node or connection for details.
Key Insights
These four charts describe the content of EU-LAC digital cooperation: which global goals are referenced, how binding the commitments are, which countries take the lead, which topics dominate, and how activity has grown over the years.
🎯 SDG Alignment — Coverage & Depth
Question: Which Sustainable Development Goals does this corpus actually prioritise? The radar shows two overlapping perspectives. The blue area (Document Count) answers "how many documents mention each SDG" — a wide blue shape means broad coverage across goals. The green area (Avg Intensity) answers "how central is each SDG in the documents that do mention it" — a high green point means that SDG is a primary concern, not a passing reference. An SDG with high coverage but low intensity is frequently mentioned but superficially. An SDG with low coverage but high intensity appears in few documents but drives them deeply. Hover over each point to see exact counts and intensity scores.
⚖️ Strength of Commitments
Question: Are these cooperation agreements actually binding, or mostly aspirational? The chart shows the balance between three levels of legal enforceability. ⚖️ Legally Binding agreements create enforceable obligations under international law — parties must comply. 🤝 Politically Binding commitments rely on political will rather than legal enforcement — they signal intent but carry no legal consequences for non-compliance. 📋 Non-Binding frameworks are entirely voluntary declarations or guidelines. A corpus dominated by legally binding documents signals mature, institutionalised cooperation. One dominated by non-binding texts suggests dialogue is still in an early, exploratory phase. Hover over each segment to see the description and document count.
🌍 Leading Countries
Question: Which countries are driving EU-LAC digital cooperation? Each bar shows the number of documents that a country has led or initiated — a measure of proactive engagement rather than passive participation. Countries are colour-coded by region: 🇪🇺 blue = European Union member states, 🌎 green = Latin America & Caribbean nations. A long bar means that country has been particularly active in producing or leading cooperation documents. Comparing EU and LAC bar lengths reveals whether the relationship is balanced or dominated by one side. Only the top 15 most active countries are displayed. Hover over any bar to see the full country name, region, and exact count.
🗂️ Thematic Focus
Question: What topics dominate the EU-LAC digital cooperation agenda? Each bar shows how many documents address a given thematic area. The longer the bar, the more central that topic is to the overall corpus. This reveals the agenda priorities of the cooperation: themes with very short bars are underrepresented and may represent gaps. Major themes include 🚀 Digital Strategy (transformation roadmaps and policy frameworks), 💡 Technology & Innovation (emerging tech, R&D ecosystems), 🔒 Data Governance (privacy, security, data rights), 🤝 Social Inclusion (digital equity and accessibility), and 🌍 International Cooperation (cross-border partnerships and alliances). Hover over any bar for the full theme description and focus area.
📈 How Cooperation Has Evolved Over Time
Question: Is EU-LAC digital cooperation growing, and is it becoming more formal? The chart plots document production year by year with three lines. Total Documents (teal) shows the overall pace of activity — a rising line means cooperation is accelerating. Agreements (blue) counts formal cooperation instruments — a growing share of agreements relative to total documents signals institutionalisation. Dialogues (green) counts discussion and consultation documents — a high and stable dialogue line indicates active exchange even without formal outputs. Peak years often coincide with major EU-LAC summits or policy milestones. Hover over any point to see the breakdown for that year.
Stakeholder Ecosystem
These two charts reveal who participates in EU-LAC digital cooperation and who benefits from it. Together they show whether cooperation is inclusive — involving diverse organisations — and whether its benefits reach beyond government and business to citizens, youth, women, and marginalised groups.
🏛️ Who Participates — Actor Types
Question: Is cooperation genuinely multi-stakeholder, or is it mostly government-to-government? Each bar shows how many documents involve a given type of organisation. 🏛️ Political Actors (governments, ministries, international institutions) set the policy framework. 🔬 Research & Innovation Actors (universities, R&D centres, think tanks) generate knowledge. 💼 Economic Actors (businesses, SMEs, industry associations) drive implementation and investment. 🤝 Civil Society Actors (NGOs, foundations, community organisations) ensure social accountability and inclusion. A corpus dominated by political actors but with few civil society or private sector entries may indicate a top-down cooperation model. Hover over bars for role descriptions.
👥 Who Benefits — Beneficiary Groups
Question: Does digital cooperation reach the groups that need it most? Each bar shows how many documents explicitly address the needs or interests of a given group. A high count means the corpus frequently discusses that group as a target of cooperation benefits. A very short or absent bar is a gap — it means that group's needs are rarely articulated in the documents, even if they may be indirectly affected. Pay particular attention to the presence of 👩 women & girls, 🏘️ rural & remote communities, and ♿ persons with disabilities — groups most at risk of being left behind in digital transitions. The top 10 most-mentioned groups are displayed. Hover over any bar for the full group description.
Qualitative Cooperation Framework
This section measures how digital cooperation unfolds in practice — not just whether it exists. Each document is assessed against 9 qualitative indicators co-designed under the EU-LAC Digital Cooperation monitoring framework. An automated analysis reads the full text of each document and assigns a qualitative rating for every indicator, together with a written justification and a supporting excerpt. Results are aggregated here to reveal patterns across the entire document repository.
🔺 Strategic Balance by Level
Start here. This radar shows the overall quality of cooperation across three analytical levels — each vertex is labelled directly with its current rating. A large, balanced triangle means the repository is well-rounded across all dimensions. A small or skewed shape highlights which dimensions need the most attention. Each vertex represents a distinct lens on cooperation: Micro — whether individual institutions and actors actively participate; Meso — whether stakeholders effectively collaborate during implementation; Macro — whether documents align with regional strategies and produce lasting impact.
📊 Document Distribution per Indicator
Each horizontal bar represents one qualitative indicator. The bar is divided into coloured segments that show how many documents scored in each tier for that indicator — red = Not evident, amber = Partially evident, green = Clearly evident, purple = Central focus. A bar that is mostly red means most documents do not demonstrate that dimension at all. A bar that is mostly green or purple means the corpus consistently reflects it. Hover over any segment to see the exact count, percentage, and average score for that indicator.