Artificial Intelligence - Research - Innovation

From datato knowledge —Caribbean,responsible.

Research, innovation and artificial intelligence serving major scientific and societal challenges.

Artificial IntelligenceData ScienceApplied ResearchComputer VisionResponsible AIMachine LearningHaiti · CaribbeanMulti-Agent SystemsRAG & LLMDigital AgricultureHealth & AIAI GovernanceDeep LearningCreole NLPData EngineeringESIH · LaCDIAArtificial IntelligenceData ScienceApplied ResearchComputer VisionResponsible AIMachine LearningHaiti · CaribbeanMulti-Agent SystemsRAG & LLMDigital AgricultureHealth & AIAI GovernanceDeep LearningCreole NLPData EngineeringESIH · LaCDIAArtificial IntelligenceData ScienceApplied ResearchComputer VisionResponsible AIMachine LearningHaiti · CaribbeanMulti-Agent SystemsRAG & LLMDigital AgricultureHealth & AIAI GovernanceDeep LearningCreole NLPData EngineeringESIH · LaCDIA
Vision 2026–2030

Becoming the Caribbean reference hub for AI and data science

Recognized for the quality of its research, the relevance of its applications, its contribution to scientific training and its commitment to responsible innovation.

Founded in 2026
ESIH · Haiti
Mission

Produce original scientific knowledge in artificial intelligence and data science.

Develop methods, datasets, prototypes and tools adapted to Haitian and Caribbean contexts.

Contribute to the training of researchers, doctoral students, engineers and professionals.

Foster responsible transfer of knowledge and technologies to public, private and community actors.

Promote robust, explainable, ethical, inclusive and person-respecting artificial intelligence.

Contribute to Haiti's scientific influence and the development of Caribbean and international collaborations.

Values

Scientific excellenceIntegrity & transparencyResponsible innovationInclusion & non-discriminationInterdisciplinarityOpen scienceCaribbean cooperationData protection
Scientific Architecture 2026–2030

Two research axes, one valorization hub

The collaborative development of scientific and technical skills in artificial intelligence and data science for the sustainable development of the Caribbean.

AXIS 01

Foundations, Methods and AI Robustness

The methodological backbone of the Laboratory — designing methods that allow systems to learn, reason and generalize robustly, including from scarce, noisy or heterogeneous data.

Self-supervised learningRobustness & generalizationFrugal modelsExplainability & auditBias reductionReasoning under uncertainty

Priority objectives

Develop efficient algorithms with limited data· Study out-of-distribution robustness and generalization· Design models suited to limited computational resources· Develop explainability methods and measure biases

AXIS 02

AI for Complex Data and Real-World Systems

How to adapt, combine and evaluate AI methods when confronted with real-world complexity — multimodal data, dynamic systems, variable-quality environments.

Multimodal data & fusionDetection & segmentationDecision supportModeling & predictionField validationCross-domain transfer

Priority objectives

Learn from scarce, noisy, incomplete data· Develop contextualized decision support systems· Evaluate systems in real conditions· Integrate domain knowledge

Feedback loop

Real-world cases identified by the Hub feed back as new scientific problems for Axes 1 and 2.

HUB

Scientific Valorization and Training

The interface between the Laboratory and the socio-economic world. The Hub valorizes and transfers knowledge from Axes 1 and 2 to organizations, while feeding back real needs as new scientific problems.

Application areas

HealthAgricultureEducationEnvironmentPublic sectorExpertise & prototyping

Application sectors (health, agriculture, education, environment…) belong to the Hub — not to axis titles — preserving a general, lasting scientific architecture.

Transversal requirement

Ethics · Explainability · Security · AI Governance

AI ethics is not a separate axis: it permeates both axes and the Hub, according to the nature of the subjects treated. Each project integrates bias assessment, usage limit documentation and, where applicable, an explainability protocol adapted to its end users.

Bias assessment & mitigation
User-adapted explainability
Data security & cybersecurity
Governance & method traceability
Ethical & regulatory validation
Usage limit documentation
Governance

Two lines, one clear governance

Governance distinguishes the institutional line (ESIH, Executive body) from the scientific line (Scientific Directorate, Scientific Council), converging at the Governance Committee level, without confusion of competencies.

INSTITUTIONNELLE

ESIH

Parent institution

The École Supérieure d'Infotronique d'Haïti is the legal entity behind LaCDIA. It concludes institutional acts, agreements and commitments.

INSTITUTIONNELLE

Executive body

Strategy & coordination

The three co-founders provide institutional strategy, operational coordination, program development, partnerships and resource mobilization.

CONVERGENCE

Governance committee

Interface & arbitration

Arbitrates topics at the intersection of science, strategy, finance, partnerships, human resources, communication and intellectual property.

SCIENTIFIQUE

Scientific directorate

Scientific direction

Ensures scientific orientation, quality, integrity and supervision. Its signature is strictly scientific — with no general institutional commitment power.

SCIENTIFIQUE

Scientific council

Assessment & quality

Brings together the Scientific Directorate, the Scientific Heads of the 2 axes and the Technical Coordinators. Examines scientific strategy and production quality.

Governance principles

Separation of institutional and scientific lines — converging at the Committee level, without confusion of competencies.

No single body can commit LaCDIA or ESIH alone for mixed acts — co-signatures are required by the Charter.

Any appointment, affiliation or function assignment becomes effective through an individual agreement, letter of appointment or Charter-compliant act.

In the presence of a conflict of interest, the person concerned refrains from participating alone in the decision.

Key figures

Key Indicators

Quantitative data on our research and innovation activities

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Active Researchers

Researchers, PhD students and active collaborators

0
Ongoing Projects

Research projects currently being launched

0
Active Partnerships

Active partnership in research and mediation

0
Research axes

Two structural axes + one valorization hub

Updated: 2025-12-30Some indicators are provisional and will be confirmed after internal consolidation.

Scientific team

High-level scientific expertise, rooted in Haiti and open to the world

LaCDIA brings together around a dozen complementary scientific and technical profiles — national and international researchers, specialized engineers and emerging-technology experts — to carry out rigorous artificial intelligence research grounded in Caribbean realities.

2 researchers · HDR

Senior accredited researchers

Two national researchers, holders of a Habilitation to Direct Research (HDR), oversee the laboratory's work and ensure its scientific rigor.

3 experts

International scientific network

Two international researchers and an emeritus professor complete this scientific core, bringing LaCDIA an outside perspective and established academic collaborations.

2+ researchers

Associate national researchers

Other national researchers, with complementary expertise, are progressively joining the laboratory and contributing to the expansion of its research areas.

2 engineers

AI and data engineering

Two artificial intelligence engineers, specialized in large-scale data processing, handle the technical implementation of the laboratory's projects and models.

ESIH

Institutional affiliation

LaCDIA is affiliated with the École Supérieure d'Infotronique d'Haïti (ESIH), which guarantees its institutional and legal standing. The laboratory's scientific direction is carried out by its own scientific governance bodies.

1 expert

Generative AI expertise

A generative artificial intelligence expert completes the team, driving the exploration of these emerging technologies within LaCDIA's work.

11
Team members mobilized
2
International researchers
2
AI engineers
6
Areas of expertise

Some profiles combine several scientific and institutional responsibilities; this presentation reflects the expertise mobilized by the laboratory rather than a fixed organizational chart.

Partners & Collaborations

We work with academic, public, and private institutions to accelerate the impact of research.

Want to collaborate? Get in touch.

Collaborate with the laboratory

Institutional partnerships, internships, funding, or applied projects: let's build impactful solutions together.