AI · PROTECTING PEOPLE
01VioGén-2
Development and validation of predictive models for repeat-offence risk assessment within the ALTEA project. Statistics and AI to support police risk assessment tools.
Related work03 / PROJECTS AND KNOWLEDGE TRANSFER
Experience with specific problems across different sectors. These examples illustrate areas of work, rather than an exhaustive list of collaborations.
AI · PROTECTING PEOPLE
01Development and validation of predictive models for repeat-offence risk assessment within the ALTEA project. Statistics and AI to support police risk assessment tools.
Related workAPPLIED RESEARCH
02Selected success stories include predicting musculoskeletal risk in surgeons and analysing acceptance of remote consultations. Examples from a wider track record in clinical studies, treatment evaluation and predictive tools.
Related workRISK AND ADAPTATION
03Thermal risk in aquaculture, species distributions and environmental data integration. Maps and models to inform management and adaptation.
Related workRESOURCES AND PROCESSES
04Compost Calculator, sludge characterisation, waste valorisation, irrigation and soil zoning. Analysis to evaluate processes and resource-use options.
Related workSUSTAINABLE MANAGEMENT
05Turf management, fertilisation and remote sensing. Evidence to inform maintenance and resource use.
Related workQUALITY AND DEVELOPMENT
06Experimental design, formulation, preservation and consumer preferences. Comparing products, processes and coproduct ingredients.
Related work04 / HUMAN-CENTRED AI
Useful AI must pay attention both to model quality and to the people it affects.
My experience in risk assessment, health research and large-scale citizen surveys connects methods with social needs. I see AI as a tool to support informed decisions, with human oversight and attention to its limitations.
Explain what a model answers, which data it uses and what it assumes.
Make uncertainty visible and assess where a tool works.
Consider bias and the consequences of using the results.
Support professional judgement and the responsibility of decision-makers.
07 / CONTACT
Tell me what you need to decide, what data you have or what training your team needs. Let's start with a good question.
Universidad Miguel Hernández de Elche
i-MInD Institute
03202 Elx (Spain)
Improve processes. Evaluate results. Make evidence-informed decisions.
Do you need to improve a process, evaluate a service or understand where AI could add value? I work with businesses and public bodies to turn that challenge into a concrete project: defining the question, analysing the data, and developing and validating a solution for your organisation.