Territorial Intelligence and Technological Innovation

This line has its own main project and also provides methods, data and instrumentation transversally to the other projects.

Select a service to know its function, objective, restrictions and general mathematical formulation.

Services

Cartography, GIS and territorial diagnosis

Function: integrate environmental, social, legal and infrastructure layers.

Aim: locate alternatives with greater suitability and less conflict.

Restrictions: scale, resolution, validity, coverage, data permissions and spatial uncertainty.

max_s A_territorial(s)sujeto a exclusión_k(s) = 0, U_espacial(s) ≤ U_máx

Design of measurement and instrumentation campaigns

Function: convert technical questions into variables, sensors, locations and frequencies.

Aim: obtain representative information with controlled uncertainty.

Restrictions: range, accuracy, calibration, power, communications, environment, access and cost.

min_n,s,Δt U_mediciónsujeto a cobertura ≥ C_mín, costo ≤ B y rango del sensor compatible

Design of experiments and statistical validation

Function: convert a technical or scientific hypothesis into a reproducible experimental protocol by defining factors, levels, treatments, controls, replicates, response variables and an analysis strategy.

Aim: obtain statistically valid evidence using the lowest reasonable number of trials while controlling the main sources of variability.

Restrictions: randomization, replication, sample size, resource availability, instrumental precision, confounding variables, statistical assumptions, traceability and reproducibility.

min N_trialssubject to Power ≥ P_min, α ≤ α_max, U_experimental ≤ U_max

View DOE-001 applied case →

Modeling, simulation and uncertainty analysis

Function: represent the system and compare scenarios before intervening.

Aim: reduce the error between observed and calculated behavior.

Restrictions: physical laws, data, identifiability, scale, validation and propagation of uncertainty.

min_θ Σ[y_obs − y_modelo(θ)]²sujeto a balances físicos = 0, θ ∈ dominio válido y validación independiente

Automation, sensors and control systems

Function: observe variables and act to keep the process within limits.

Aim: minimize deviations, consumption and failures.

Restrictions: stability, response times, actuator limits, safe stop and manual control.

min_u(t) ∫[e(t)² + λu(t)²]dtsujeto a ẋ = f(x,u), u_mín ≤ u ≤ u_máx, estado seguro

Data analysis and responsible artificial intelligence

Function: detect patterns, estimate variables and support decisions.

Aim: minimize the validated error and provide a demonstrable improvement over base methods.

Restrictions: privacy, bias, explainability, representativeness, security and human supervision.

min_modelo L(y, ŷ)sujeto a sesgo ≤ límite, privacidad protegida y desempeño fuera de muestra ≥ base

Monitoring and decision support dashboards

Function: transform validated data into understandable and actionable indicators.

Aim: Maximize usefulness and opportunity of information.

Restrictions: traceability, updating, accessibility, permissions, quality and cognitive load.

max U_decisión(I)sujeto a latencia ≤ L_máx, calidad ≥ Q_mín, acceso según rol

Main project

Obra registradaSISTEMA GERENCIAL DE APOYO A LA TOMA DE DECISIONES INFORMADAS BASADA EN DATOS ANALÍTICOS PARA LA EVALUACIÓN DEL POTENCIAL DE HIDRÓGENO EN BOYACÁPrograma de computador · Obra inédita · Obra en colaboración · Colombia, 2026

Contenido técnico protegido por derecho de autor. Este proyecto no dispone de publicación técnica pública.

Cross-cutting applications

Applied methodological capacityDOE-001 · Keratin fibers and soilView experiment →Cross applicationCommunity Solar ParkMapping and solar measurement →Cross applicationWind and water energy systemsTerritorial instrumentation →Cross applicationScalable hydrogen plant prototypeModeling and control →Cross applicationSustainable EcovillageDiagnosis and follow-up →