We offer a complete data science ecosystem for biomedical research: high-performance computing and parallel computing for large and complex healthcare datasets; rigorous FAIR-compliant data management strategies and policy development; and seamless integration of heterogeneous data from clinical, imaging and omics sources. Our team designs experimental, cross-sectional, longitudinal and case-marker studies, engineers relevant variables and applies advanced descriptive, inferential and survival statistics, network modelling and machine learning workflows. Additional strengths include neuroanatomical analyses, state-of-the-art bioinformatics/biostatistical toolchains, and exploratory research in DNA computation.

We develop complete solutions for cultural data and civic engagement projects, from crowdsourcing frameworks and Delphi tools to artificial intelligence-based trend analyses. Our services include data policies designed according to FAIR principles, definition of metadata formats and standards, multivariate integration of qualitative and quantitative sources, and big data platforms supporting focus groups, content analysis and customised survey streams. Advanced statistical modelling and machine learning services transform heterogeneous data into actionable cultural and social insights.

For security actors we deliver high-performance analytic environments, integrated with robust data sharing and governance frameworks. Our capabilities include scalable machine learning models for threat detection and situational awareness, along with clear data custody, interoperability and compliance policies.

We support industry partners in leveraging data assets through rigorous modelling, implementation of FAIR principles and enterprise data engineering. Our services include artificial intelligence and machine learning solutions for predictive maintenance and optimisation, big data architectures that ensure interoperability between systems, and analytical layers that transform raw streams into strategic insights.

Our climate-energy offering combines large-scale simulation and modelling with AI-assisted pattern detection on datasets from sensors, satellites and markets. We develop domain-specific standards and protocols for data sharing, apply FAIR principles and use advanced statistical techniques to quantify uncertainty, assess scenarios and support evidence-based decisions in policy and investment.

INCDSB has extensive expertise in its research fields thanks to its human resources and modern infrastructure (https://eeris.eu/ERIO-2000-000R-0174).

In our research, we aim to realise the potential of plant and animal products and by-products as renewable resources, to develop new sensors/biosensors with application in the food industry, and to improve the determination and monitoring of pollutants. We also focus on new membrane technologies that offer high efficiency and low cost in bio-separation, as well as on the purification and recovery of valuable compounds from medicinal plants; bio-products and by-products from the agricultural and food industry; and new biomaterials with multiple applications. We are an interdisciplinary team of professionals in engineering, biology and chemistry, able to provide customised technical and scientific solutions to partners and customers in academia, government agencies, industry and SMEs.

Together, we formulate responses to emergencies in agriculture, health, food industry and environment by developing and validating new techniques for the identification, characterisation, extraction, concentration and stabilisation of bioactive compounds from raw materials and processing residues. We also analyse compounds usable as nutrients, food supplements, cosmetics or beverages and develop sensitive methods for the determination of target analytes using (bio)sensors.

Our expertise in the design of biocompatible and biodegradable biomaterials based on natural and synthetic polymers, ceramics and bioactive plant-derived compounds supports tissue engineering and regenerative medicine (skin, bone, cartilage, peripheral nerves, cornea). This includes the development of nanoparticles and nanostructured systems for biomedical applications, as well as in vitro experimental models for testing the biocompatibility of biomaterials and assessing tissue regeneration effects (e.g. anti-inflammatory, anti-ageing, antioxidant activity), thus reducing the dependence on animal testing.

We extract, purify and analyse biologically active compounds from plant and animal sources and valorise agro-industrial waste into value-added products in the framework of the circular bio-economy. Our activities also include the development of natural agricultural products, such as biopesticides, biofungicides or crop growth stimulants.

We design analytical protocols to assess secondary metabolites and pollutants and develop mechanistic models to understand the pathways of various (bio)active compounds or the environmental fate of nutrients and contaminants. Our work supports local strategies for environmental management and sustainable resource use, contributing to pollution reduction and conservation of ecosystem services.

We support the bioeconomy with comprehensive data science solutions: in situ collection, harmonised and FAIR-compliant data infrastructures and AI-based modelling of biological and agronomic systems. Services include statistical and machine learning analysis of bioresources, DNA-based computation and experimental design, development of standardised metrics for sustainability and biodiversity assessment, and robust tools for validation, traceability and biosafety.

Our competences are demonstrated through the implementation of national (see BIORESGREEN programme) and EU-funded projects, INCDSB thus proving its capacity in method development, circular valorisation and technology transfer, supporting local economies, environmental sustainability and public health objectives in line with EU strategic priorities.