The main goal of the “ETHCSTWIN'' initiative is to establish a collaborative network between the Institute for Ethnopharmacological Studies and Phytotherapy (IESP / NKUA University) with two highly renowned academic research teams from Italy (Research team of Prof. A. Pieroni) and Germany (Research team of Prof. M. Hofmann-Apitius), as well as Biotech SME PangeaAI and Uni. of Prishtina (Faculty of Mathematics and Natural Sciences) in order to incorporate ETH insights into novel computational and digital frameworks by focusing on developing a rich portfolio of complex methodologies and tools, encompassing the analysis of extensive big data sets and the restoration of both tangible and intangible heritage. Following thorough research and assessment of data derived from several ethnopharmacological sources (e.g. manuscripts, folklore texts, ethnobotanical studies, ETHCSTWIN's subsequent phase will involve knowledge transfer and capacity building in AI, Machine Learning, and Data Mining methodologies, as well as advancing ethnopharmacological studies among the project's partners. This newly acquired knowledge and capabilities will contribute to developing of the ETHCSTWIN platform, which will serve as a resource for data collection, processing, and creating an extensive relational database comprising a vast dataset repository. The project will establish an Ecosystem Excellence Aggregator, presented as an open science community, that will host the ETHCSTWIN database and toolkit and will offer support for stakeholder training. ETHCSTWIN will provide a unique opportunity for IESP and its partners to develop the first European Ecosystem with IESP as the Regional Research Centre on Ethnopharmacology and Phytotherapy, connecting the Balkans, Mediterranean, and Central Europe. The successful implementation of this project will facilitate future collaborations with experts in the fields of Ethnopharmacology and Computer Science & will increase IESP’s research capabilities.

The proposed project aims to collaboratively integrate modern data system, experiments, imaging, machine learning and predictive engineering-physical modelling for additive manufacturing (AM) and materials developments. Through focused knowledge transfer, close interdisciplinary teamwork and fusion of the academic-industrial research/resource, the team will jointly establish a systematic data system of the structure, properties, defects and distortions in AM of a range of materials at different scales and use the data for materials development and AM process optimisation. The effect of AM processing and surface treatments on the surface integrity and functional properties (e.g. corrosion resistance) of AM materials is to be systematically established. The project will develop practical imaging and processing algorithms for the analysis, design, and joint quality control for the input materials in AM, including powder production. Engineering and key physical modelling is to be integrated with machine learning for predictive composition and structure design for optimum synergy between printability, properties and performances. Materials development balancing printability and structure properties will be focused on advanced materials requiring critical phase control in AM, including duplex stainless steels, amorphous glass metals and Mg. The advanced data and materials will serve as a pivoting platform for future research and innovation in AM, speeding up material development within the full product development life cycle. Through focused intersectoral and international knowledge exchange and joint R&I within a multidisciplinary team, the project will contribute to the continuous practical applications of Industry 4.0 technologies and development for industry5.0 in AM, further enhancing the design freedom in composition and structure for application-specific products, and accelerating the researcher development with lasting impact in the EU and beyond.

Severe mental disorders are major health burden worldwide with a large treatment gap in low- and middle- income countries (LMICs) in South Eastern Europe. Policymakers, planners and professional bodies in these countries are committed to closing the treatment gap; however they struggle to overcome basic obstacles such as funding difficulties and lack of qualified staff. IMPULSE aims to facilitate the development of effective community-based mental health care in these countries by implementing an evidence-based, easily deliverable, affordable and cost-saving intervention called DIALOG+. The intervention is a technology-assisted and based on patient-centred communication, quality of life research and solution-focused therapy. It was designed to make routine meetings between clinicians and patients structured, comprehensive and more therapeutically effective. DIALOG+ is effective in reducing clinical symptoms, improving quality of life and reducing treatment costs. IMPULSE brings together a multi-disciplinary Consortium (experts in psychiatry, psychology, implementation science, health economy and transcultural research) to conduct a mixed method, multiple case implementation study across five LMICs - Bosnia and Herzegovina, Kosovo, Former Yugoslav Republic of Macedonia, Montenegro, and Serbia. IMPULSE will formulate contextually appropriate approach and optimise delivery of this intervention across different healthcare systems, thus exploring how local, organisational and national factors influence adoption, implementation, sustainability and economic costs. This process will generate new knowledge on how to best develop and organise community mental health care in LMICs through the implementation of effective and generic interventions. We will undertake a series of activities to widely disseminate IMPULSE results to maximise the impact of the research. This will include translating the findings into national implementation guidance and policies in each country.

ENEMLOS has the aim of bringing reality in the classroom will enhance student employability, which is currently one of the most pressing issues in Montenegrin economy and society in general. To that end, in order to provide more possibility for young lawyers to reach first employment, the plan is to create a live legal clinic. The legal clinic would be providing legal advice by students, under the supervision of qualified lawyers and mentors at the clinic, which mitigates fears of potential incompetence. One of the most important benefits of this legal clinic will be that it will allow access to legal advice and information to the poor and socially disadvantaged groups of society who do not have sufficient financial means and cannot get information in any other way simply because they cannot afford a lawyer. Namely, there is a strong need in Montenegro for this type of legal aid since the existing social situation such that it leaves many without sufficient financial capacity to obtain professional legal advice and representation. All students will be organized into groups specializing in particular areas of law, which are recognized to be of the greatest importance for the live clients of the Clinic. The groups are: International – human rights, Criminal law, Commercial law, Property law, Family law, Heritance law, and Obligation law. Although the legal clinics are generally focused on providing advice to live clients with low incomes or those that do not have access to legal aid, since the Commercial law clinic exist in the curriculum of the FoL UoM we will try to engage the students at this clinic in providing of the legal services to start-up companies on commercial and corporate law, if this proves to be necessary in the realisation of this clinic, or to facilitate the identification of the candidates for the international moot court competitions in the field of Commercial and international law, under Commercial Law Clinics.