With the support of 3 European HEI, F-STEM project aims at building the capacity of 4 major public universities in Cambodia in order to create a new generation of food chain entrepreneurs, with a strong emphasis on safety, quality and sustainability.The food processing industry in Cambodia is very limited and the Cambodian market is dominated by imported food from neighboring countries. The local food processing market is run by family-based informal micro enterprises with lack of entrepreneurship skills and financial access, unadapted infrastructure and limited quality, safety or environmental concern.Our goals : Cambodian companies in the Agri-Food sector are able to provide goods on local and international market complying with quality and safety standards;The number of stakeholders in the agri-food sector is increased, with a focus on micro and small companiesMain outcomes of the project: E-learning courses dedicated to the Agri-Food chain are developed at bachelor, engineering and master levels and included in the curricula of the Cambodian partner Universities. These courses are focused on entrepreneurship, product development, factory design, sustainable processing, supply chain management...Challenges are organized in partnership with the private sector and selected teams receive technical support (Agri-Food Labs) and trainings in entrepreneurship;A specialization in Food Industry is developed in a Master program in Entrepreneurship and Project Management;A capacity building program is developed on the management of analytical laboratories for food safety controlImpactsThe local economy is driven by the development of innovative and sustainable agricultural and food processing solutions addressing nutrition issues with strong social, health and economical impact. Consumers are proud of and buy more Cambodian processed food and the international image of Cambodian agriculture and processed food is improved.

Like other countries, Cambodia has undertaken a transition towards sustainable development as defined in its National Environment Strategy and Action Plan. Yet, it is recognized that the transition to a green economy will induce significant changes in the job market. The goal of GREENCAP is to address the question of HEI adaptation to such job market evolution towards green jobs. It, therefore, aims to develop student’s employability in the field of green business, through the exchange of good practices between 3 EU universities and 4 Cambodian partner universities. The key factor of success for this project lies in the multi-stakeholder cooperation. To this end, GREENCAP set up forums and events aiming at creating space for a dialogue between Cambodian stakeholders concerned with those topics – Universities, the wider economic society (enterprises, NGO, cities…), and ministry. These spaces for dialogue will be held at three levels. First, at the National level, it will come through the implementation of a professional committee and the organization of an annual green conference involving various stakeholders. It gives the opportunity to share knowledge and experiences in the field of green business which will facilitate to formulate recommendations for teaching, research and partnership opportunities. Second, at the local level, GREENCAP aims to improve green job market matching opportunity with the organization job fairs, career centers, and the creation of digital jobs/internships platform. Third, at the institutional level, the outcomes of upper level will help to develop green business modules into HEI curricula. Staffs from the EU will also provide support to partner staff, through trainings, for greening the curriculum putting special focus on learning and teaching tools, methodologies and pedagogical.

The SWIFTS project aims to develop innovative methods for combining big data, derived from satellite Earth observation, and hydrodynamic simulations to improve flood inundation modelling at local to regional scales. The project focuses on urban and peri-urban areas and relies on the advanced exploitation of SAR, optical and topography data to characterise complex inundation flows. The main motivation is to simultaneously improve observed and simulated products via advanced machine learning and data assimilation methods in order to reduce related uncertainties. SWIFTS will therefore contribute to tackle three main scientific challenges: (i) to improve topography and model friction parameterization in hydrodynamic models via the advanced use of photogrammetry, interferometry and land-use classification on images mainly provided by the Pleiades and Sentinel satellite missions, (ii) to further develop SAR image classification algorithms, including machine learning and interferometry techniques, for flood extent mapping in urban and peri-urban areas as well as exclusion area mapping where the SAR data doesn’t enable floodwater detection, (iii) to further develop methods for assimilating flood extent maps into hydrodynamic model as front information, probabilistic and binary flood maps along with the exclusion layers. SWIFTS will rely on big data and high performance computing for machine learning, high resolution hydrodynamic modelling and ensemble-based data assimilation. To embrace both local and regional scales a traditional high-resolution hydrodynamic modelling approach will be complemented with a larger scale modelling approach including porosity concepts. To demonstrate and evaluate the developed approaches, the project will use as test cases a well-gauged French basin and a more poorly-gauged Cambodian basin where most part of the information will come from satellite Earth observation.

Nowadays in Europe, automation is reshaping the manufacturing tools to decrease the product cost withinenvironmental objective guidelines, customized production and valuable improvement of work conditions. At oppositeside, in least developed countries of Asia the labour market has mostly found employment in farming andmanufacturing is still using low cost manpower with poor qualification profile. For these Asian countries, the industrialstructure of the economy is still at its beginning and is facing many challenges with their education system. One of themis the lack of expert educated with corresponding skills to work on new technology of automation in processing andmanufacturing system. It is usual in the corresponding factories to find foreigners holding high qualified job profile asuniversities have not yet incorporated dedicated lab to provide the right skills to their students. Asean Factori 4.0 projectpropose to contribute to this challenge by the design of a set of industrial automation labs with a corresponding stafftraining program to initiate the foundation of center of excellence in Automation. In each institution, different kinds ofpedagogical process will be implemented and tested to create a network of competencies among our partner countriesfollowing their local needs and to permit cross learning approach during the project. Through the Industry 4.0 roadmap,the project is the first step to educate students to prepare a future generation of qualified workers able to implementadvanced manufacturing and processing machinery.

Two important elements of healthcare workforce development are access to information and quality higher education. Health sciences staff, students and healthcare professionals in low- and middle-income countries lack access to high quality health information adapted to their specific needs. Access to high quality education becomes more important for future healthcare professionals, amongst others because an accelerating digitalisation needs matching digital competencies. In Indonesia and Cambodia, these problems are excacerbated respectively by a spread-out geography and a challenging economical situation. Both countries want to enhance quality of their Higher Education (HE) and improve university support services.This project addressses the above needs by:1) Building up the capacity of techno-pedagogical staff, so they can assist teaching staff in implementing innovative techno-pedagogical projects in teaching & training2) Building up the capacity of health libraries and specialized librarians, so they can improve service for HEI staff & students and train them in digital information management skills 3) Ensuring open access to high-quality scientific and educational resources for HEI staff & students and healthcare professionals, via the development of platforms and supporting teaching and academic staff in posting high quality content on these platforms. The content will also be exploited by healthcare professionals. The impact of this project will be sustained beyond the project end, by (1) making sure that training is tailored to the needs of the HEIs; (2) subscribing to the vision and the strategy of the partner HEIs and (3) ensuring co-ownership of all digital platforms through a network of experts from Partner HEIs. The innovative platform will focus on infectious and (neglected) tropical diseases as a case study, given the specific expertise of all consortium partners. As such, this project aims to improve HE and ultimately healthcare quality in SEA.