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University of Lomé
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9 Projects, page 1 of 2
  • Funder: French National Research Agency (ANR) Project Code: ANR-21-PEA1-0005
    Funder Contribution: 5,000 EUR

    The call for projects « Partenariats avec l’Enseignement Supérieur Africain (PEA) », is part of an ambitious approach to support university partnerships contributing to the capacity building of African institutions and to the multiplication of exchanges between institutions, which in terms of the development of the training offer, educational innovation or scientific collaboration. The partnership should also make it possible to contribute to the socioeconomic development of the country and promote the access, participation and promotion of women in / in the selected sectors. The project led by the Faculty of Health Sciences (FSS) of the University of Lomé (UL), the Odontology UFR of the University of Paris, Faculty of Health and the Odontology UFR of the the University of Nantes is part of this ambitious and innovative approach. The objective of the project is to support the creation of an odontology branch of the Faculty of Health Sciences (FSS) of the University of Lomé (UL) by training young dental surgeons and future teachers in the different branches of dental medicine. It is based on innovative pedagogical approaches (simulation) and aims to be attractive to Togolese students and those of the sub-region. Beyond the odontology sector, it is a question of spreading these innovative practices within various sectors of the University of Lomé by strengthening exchanges between health training courses through the establishment of common courses and access to training through research. In Togo, the recent report of the National Order of Dentists notes the existence of only 25 active dentists out of 8 million inhabitants, which represents approximately 1 dentist for more than 300,000 inhabitants, one of the lowest rates in the world. If the supply of training does not develop, there will be hardly any working dentists in 20 years. Faced with this major public health issue, it was a real political will on the part of the University of Lomé to open within the Faculty of Health Sciences (FSS), by order N ° 046 / UL / P / SG / 2019 of November 13, 2019, from the academic year 2019-2020, the field of dental surgery. This Odontology stream will be organized over seven years of study, with a two-year core curriculum with medicine. The implementation of this training will make it possible to respond to the various public health challenges linked to the promotion of oral health (prevention, access to care), to create jobs and to participate in the national and international influence of the university of Lomé. From a global perspective, the SMILE project places the university as a central actor in national development. The development of the profession of Dentist in Togo is today, more than a public health issue, a real health emergency insofar as all too often these professions are sometimes occupied by poorly qualified people. The challenge of our project is to co-construct with all the institutional actors, an ambitious, lasting and sustainable vision of success promoting the development of the dentistry sector in Togo. The University of Lomé would thus become a pedagogical innovation hub for the entire region and sub-region, allowing the spread of innovative pedagogical practices beyond the dentistry sector. The SMILE project will be able to contribute to job creation by opening dental practices and strengthening the economic fabric with the desire to help resolve a major public health issue through the development of an appropriate healthcare offer. Our project will be committed to developing actions to support young women from modest backgrounds to support them in pursuing higher education and successful professional integration with the concern of spreading the model of equal opportunities developed.

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  • Funder: French National Research Agency (ANR) Project Code: ANR-21-PEA2-0007
    Funder Contribution: 2,793,000 EUR

    IMPACT supports the University of Lomé in the implementation of a coherent system of training in Mathematical Engineering (logistics, computer science, data analytics) from the bachelor's degree to the doctorate. All delivered in double degrees, integrated into economic activities, recognized by the CTI (L and M), they offer work-study and support to entrepreneurship.

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  • Funder: UK Research and Innovation Project Code: EP/T015373/1
    Funder Contribution: 681,317 GBP

    Poor air quality damages the lives and livelihoods of millions of people and is predicted by the World Health Organisation (WHO) to become the world's largest cause of preventable death by 2030. Those living in Low- and Middle-Income Countries (LMICs) and cities are particularly affected, both through short-term acute effects and an accumulated life-long reduction in quality of life and health. There is a major opportunity to co-design and co-produce a highly fault-tolerant system for air pollution measurement, that is fully open-source, and built from easily available low cost and off-the-shelf components. The ambition is that this approach would be scale-able and could be sustained in LMICs by in-country practitioners at modest cost, long-term. New measurements can then be coupled to integrated assessment models developed by in-country agencies with our support to enhance their decision-making capacity on air pollution mitigation. This modelling will use a tool developed by project partners in the University. This new innovation for monitoring and modelling, can catalyse action and support long-term beneficial change, initially in our early adopter partner countries, and then applied to other LMICs. Recent research from the University of York's Wolfson Atmospheric Chemistry Laboratories (WACL) has developed a low power, highly fault tolerant technology based on the clustering of multiple low-cost air pollution sensors to provide high quality measurements of target air pollutants. This approach exploits the simplicity, modest cost and high reliability of state-of-the-art sensors and electronics, but significantly improves the quality of data collected. The real-world use of sensor technologies has been slowed due to issues relating to poor individual sensor data quality. York have developed a technology that uses multiple sensors of the same type to solve the two key outstanding barriers to application in LMICs, that of sensor-to-sensor variability and unexpected sensor failure. The aim is to enable a self-supporting user community that can build and fix its own instruments and help improve on our initial designs. This approach differs fundamentally from the prevailing paradigm of a top-down commercial services model which has for many years failed to function in LMICs. The Stockholm Environment Institute centre (SEI) in the Department of Environment and Geography at the University of York has been working with the Ministries of Environment in Togo and Cote d'Ivoire and the Ghana Environment Protection Agency, and the University of Lomé, Togo and Université Félix Houphouët-Boigny in Cote D'Ivoire to develop national models using LEAP-IBC (developed by SEI), to support national low-emission planning. We will build on this work applying LEAP-IBC to Lomé, Abidjan, Accra, and another Ghanaian city (e.g. Kumasi) where no such tool is available, and there is limited or no regular monitoring. This will allow them to develop emission inventories of key air pollutants, baseline and mitigation emission projections, and to estimate the resulting concentrations of PM2.5 and the associated human health impacts. We will work with local academics and planners to support the development of the analysis, guiding them through the data collection, model design, model validation and extraction of results. Working with the University of Colorado and WACL, we will further develop the GEOS-Chem Adjoint model inputs to LEAP-IBC that converts emissions in LEAP-IBC to concentrations of PM2.5 and ozone in these cities. The inclusion of this modelling, developed by planners in Ghana, Cote d'Ivoire and Togo will also allow for an understanding of how the monitoring and modelling can be mutually beneficial to provide the evidence needed for the further development, implementation and monitoring of air quality plans in these cities and opportunities to achieve ambient air quality standards in cities.

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  • Funder: European Commission Project Code: 101082963
    Funder Contribution: 781,824 EUR

    Although many people think of agriculture as low tech and innovation field, those involved in agricultural education or industry know that it’s actually quite the opposite – year on year new solutions and efforts are being made towards bridging the gap between the real life and classroom in agricultural field that change the life of students, farmers and entrepreneurs across the world. More and more farmers are turning to data science to make informed decisions using precision technologies. However, this kind of initiatives are much less (if any) observed in Sub-Saharan Africa (SSA) that severely lags behind in their development despite the fact that most people are engaged in small farming as primary economic activity. In addressing this imbalance, CHAIN steps up the agricultural innovation and collaboration potential in SSA targeting engagement of teaching and non-teaching university staff, agricultural students, farmers and industry representatives. It introduces a more holistic and human-centred approach to agricultural education, training and innovation in the region through: developing a master program in Food Value Chain (FVC) at beneficiary HEIs; building teacher capacity at beneficiary HEIs to use promote learning methods and use teaching methodology prone to entrepreneurial thinking and innovation, with emphasis on e-learning and digital tools; and establishing Collaborative Holistic Agriculture Innovation Nests offering support to innovation initiatives of students, farmers, and entrepreneurs. While on immediate impact level the project brings modernized curricula prone to innovation and increased employability of students, CHAIN in the long run fosters efforts around food safety and security in targeted African countries and communities, by developing and promoting “careers of the future,” in the agricultural sector. It thus provides impetus to tackling some of the core global developmental issues including production of more food with less inputs,

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  • Funder: European Commission Project Code: 641498
    Overall Budget: 2,342,590 EURFunder Contribution: 1,416,160 EUR

    MAGNIFIC project aims to enable the development of EGNSS applications through international cooperation. MAGNIFIC proposes to demonstrate to African Stakeholders the benefits of EGNOS and Galileo in 6 market sectors: airport surface vehicle, flight trials, Oil exploitation, Natural resources, highly secured multi-modal transport and use of secured Maritime transport. These applications have been selected based on the 6 priority applications identified in the GSA Action plan on GNSS applications The selection of Africa was done taking into account that the provision of SBAS over AFI has been considered by EU since the early phase of development of EGNOS. Particularly, countries from West Africa have been selected being those countries the ones with the highest growth foreseen for the next 5 years. Certainly, one of the key aspects of the proposed solution is the possibility of the consortium of simulating EGNOS signal thanks to Thales Alenia Space SPEED platform. Other key aspects from our solution to be highlighted are: • Full range of partners allowing networking among European SMEs, European Industry European Research Centres, African academia, African Air Navigation Stakeholders, African SMEs and African petrol companies • High innovation character, attracting the most important regional companies from Africa, who have committed officially to an active and in-kind participation in the project, multiplying the impact of MAGNIFIC. • Galileo SAR demonstrations and Oil exploitation demonstrations showing the added value of GALILEO early services. MAGNIFIC project will allow fostering application development through international cooperation, awareness of EGNOS and GALILEO applications outside Europe and ensuring networking among different kind of actors from Europe and Africa.

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