Tassos Papadiamantis is a senior scientist at the Entelos Institute (Cyprus). Within SSbD4CheM, he is leading the work package dealing with the computer aided (re)design approach.

Tell us a bit about yourself. What is your area of expertise?

Tassos Papadiamantis: My expertise is at the interface of nanomaterials safety, data and AI governance and management, and responsible predictive modelling. On the data side, I work on making nanosafety, materials, and chemicals data FAIR. On the modelling side, I develop responsible AI and machine-learning approaches to predict how materials behave, e.g., read-across models for ζ-potential and stability. I also work on developing ethical AI assessment frameworks applicable in materials and chemicals research. I bring this work into the regulatory space, mainly through projects with the European Union Observatory for Nanomaterials and EFSA, and publicly and commercially funded projects, supporting REACH and CLP compliance. This is also what I bring into SSbD4CheM and WP2, data-driven modelling, responsible AI, and FAIR data practices feeding directly into safe and sustainable design.

How does your specific work package “Computer aided (re)design approach” contribute to the project?

TP: WP2 provides the computer-aided (re)design layer of SSbD4CheM. Our role is to bring computational tools into the SSbD framework so that material selection and re-design decisions can be made early, before going to the lab. We combine physics-based methods and data-driven workflows that predict properties, behaviour, fate and transport of candidate materials. From these results we also identify the data gaps that need experimental work, which then guides what is actually measured in the project. On top of that, we develop a data-driven LCA estimation framework, so even for materials that do not yet have full inventory data we can give an estimation on their environmental impact. In practice, WP2 is the layer that turns SSbD from a principle into something computable and iterative.

What is the most exciting thing about the activities in your work package?

TP: For me the most interesting part is the loop we are building between models and experiments. The data-driven workflows we set up are not delivered once and frozen. They can be refined with new experimental data and the refined models can then feed the next design cycle. Combined with the LCA estimation step, this lets us look at safety, performance and lifecycle impact of a material that may not exist yet in the lab, which is something quite hard to do today. And we get to test this on three very different case studies, i.e., renewable composites for automotive, PFAS-free coatings for textiles, and cellulose nanofibers replacing plastic microbeads in cosmetics.

Yvonne Kohl is a senior scientist at the Bioprocessing & Bioanalytics department of the Fraunhofer Institute for Biomedical Engineering IBMT (Germany). Within SSbD4CheM, she is leading the work package dealing with models for human health and environmental safety assessment.

Tell us a bit about yourself. What is your area of expertise?

Yvonne Kohl: My professional expertise is in toxicology, with a strong focus on in vitro safety assessment. Over the past years, my research focused on establishing human-relevant in vitro models, often referred to as New Approach Methods (NAMs), with the goal of enabling their regulatory use. As a Senior Scientist and Scientific Specialist for Toxicology at the Fraunhofer IBMT my main areas of work include human toxicology, hazard assessment of chemicals and nanomaterials, innovative preclinical in vitro models, biohybrid systems, biological barriers and organ-on-chip systems.

How does your specific work package “Innovative models for human health and environmental safety assessment” contribute to the project?

YK: WP4 is really the engine of the project when it comes to innovative safety testing. Our role is to develop and deliver the core model systems and data that are needed for a modern, reliable safety assessment of nanomaterials and chemicals. Concretely, we develop and refine advanced in vitro, ex vivo and zebrafish embryo models that reflect key human and environmental exposure routes, such as skin, lung, gut and the aquatic environment. We then optimise these methods into robust, efficient screening tools that are fully aligned with the 3R principles—replacement, reduction and refinement of animal testing. At the same time, we are building a comprehensive data library on hazardous properties to address critical knowledge gaps. To ensure that our methods are truly fit for purpose, we run inter-laboratory comparisons and pre-validation studies up to TRL 6, demonstrating reproducibility, applicability and robustness and moving the methods closer to practical application in regulation and industry. Through all of this, WP4 provides the practical tools and evidence base that enable safer-by-design decision-making and support the regulatory acceptance of alternative test methods..

What is the most exciting thing about the activities in your work package?

YK: What excites me most about our work package is that we’re not just developing isolated test methods, but building an integrated, human-relevant model system. This allows us to realistically mimic key exposure routes—such as skin, lung, and gut—and to capture low-dose, chronic effects of nanomaterials and chemicals. By combining advanced in vitro and alternative models with real-life exposure scenarios, and then validating them through inter-laboratory comparisons, we’re really closing the gap between exploratory research and regulatory or industrial application. This gives our work a very tangible impact: it can directly contribute to reducing animal testing in line with the 3R principles, support safe-by-design innovation, and provide practical tools that industry and regulators can actually implement in their decision-making.

SSbD4CheM Protocol Database with uploaded protocols

Barry Hardy is CEO of Edelweiss Connect (Switzerland). Within SSbD4CheM, he is leading the work package dealing with the project SSbD framework and workflow.

Tell us a bit about yourself. What is your area of expertise?

Barry Hardy: I am Founder and CEO of Edelweiss Connect, working at the intersection of computational toxicology, FAIR data infrastructure, and Safe and Sustainable by Design (SSbD) innovation. Our expertise focuses on developing knowledge infrastructures and mechanistically interpretable modeling workflows that integrate experimental and computational evidence to support predictive safety assessment. This includes development of FAIR-compliant data frameworks, AOP-based mechanistic modeling, and AI-assisted workflows such as ASPA, designed to generate high-quality, traceable evidence suitable for industrial decision-making and future regulatory acceptance.

How does your specific work package “SSbD4CheM framework and workflow” contribute to the project?

BH: Our work package contributes by developing the SSbD framework implementation layer that connects FAIR data, mechanistic knowledge infrastructure, and industrial innovation workflows. We are extending ASPA workflows to support SSbD applications, enabling structured integration of experimental data, mechanistic pathway knowledge, and predictive models into reproducible evidence packages. This infrastructure ensures that safety and sustainability assessments are transparent, traceable, and reusable, supporting industrial partners in making informed design decisions and preparing evidence that can ultimately support regulatory evaluation and acceptance.

What is the most exciting thing about the activities in your work package?

BH: The most exciting aspect is enabling a transition from fragmented data and isolated experiments to integrated, mechanistically grounded evidence that can directly guide safer and more sustainable chemical and material design. By combining FAIR data principles, knowledge graphs, and mechanistic modeling workflows, we are creating a foundation where safety and sustainability can be evaluated predictively and early in innovation. This opens the door to faster, more reliable development of safer products while building confidence in new approach methodologies (NAMs) that can eventually replace animal testing and support regulatory transformation.

On 15th December 2025, the SSbD4CheM consortium came together virtually for the M24 General Assembly. The meeting provided an opportunity to review the progress achieved over the past six months and to align on priorities and next steps for the months ahead.

Partners presented updates across the project’s Work Packages, highlighting key scientific and technical advances. Presentations were delivered by WP leaders (Milica Velimirovic, Beatriz Alfaro Serrano, Ivana Burzic, Barry Hardy, Tassos Papadiamantis/Panagiotis Kolokathis, Stephan Wagner, Yvonne Kohl, Wouter Gebbink, and Fruela Pérez Sánchez). A dedicated session also focused on the progress of the internal case studies in the automotive, textiles, and cosmetics sectors.

We were pleased to have some members of the External Advisory Board (EAB) joining us — Melanie MacGregor, Linda J. Johnston, Matteo Zanotti Russo, and Dr. Ze’evi Ma’or — and we sincerely thank them for their continued support and valuable guidance on project developments.

As always, it was a pleasure to connect with all partners and to continue working together towards the goals of SSbD4CheM.