The aim of S3E REVERSE is to create a Deep Tech Brokerage Program that will connect corporates and public organisations (Challenge Organisations) that face certain challenges related to the SDGs, with start-ups, scale-ups and SMEs (Solvers) that can address these challenges through their products, services, and solutions, based on deep tech.
The overall goal is to create new collaborations between Challenge Organisations with specific needs and the Solvers that are able to address them.
We launched this program in November 2022 by inviting Challenge Organisations to submit challenges through our Open Call Mechanism. Through this Open Call we received a total of 21 challenges from 19 organisations and after running an independent and transparent evaluation process, we have selected 15 challenges.
MEET THE 15 DEEP TECH CHALLENGES
Challenge title |
Challenge description |
Related SDGs: |
| AI-driven Energy efficiency | This Challenge aims to reduce costs due to unnecessary energy consumption and avoid destruction of fuel and natural resources used and the resulting pollution caused. | SDG 9
SDG 10 |
| Human-centred services with privacy at the core | This Challenge aims to tackle a social problem by use of deep tech driven innovations for the support of well-being professionals and those seeking mental help while easing the burden on the hospitals caused by the rise in the demand for mental help due to the consequences of the COVID-19 pandemic. | SDG 3
SDG 9 |
| Energy Demand Forecasting | This is a targeted Challenge aiming to come up with optimal bidding strategies that will be used as part of power and gas demand forecasting algorithms for residential users | SDG 3
SDG 9 |
| Monitor and improve public health, reduce health disparities, and support healthy lifestyles | Health and well-being are an important challenge for smart cities, and technology can play a significant role in improving public health and reducing health disparities.
This Challenge aims to devise technology driven solutions that can solve several key problems related to the well-being of smart such as, amongst others inadequate access to care, lack of health information, inefficient use of healthcare resources and chronic disease management. |
SDG 3 |
| Thermal energy storage | The process of aluminium smelting and shaping requires high temperatures and incurs high energy costs. A great amount of thermal energy gets lost. This is a dual challenge as it concerns on the one side how to decrease energy losses and also reduce the negative environmental impact. | SDG 9 |
| Global Monitoring of Health Misinformation | This Challenge is about finding ways to compile, analyse, monitor and respond to the proliferation of public conversations that can be detrimental to the quality of life.
Applications can be considered in various levels: in global context like by the United Nations Health Organisation, applied to a local context like a municipality or a region monitoring citizen behaviours and trends, or a commercial brand that monitor consumer habits and reactions |
SDG 3
SDG 4 SDG 5 SDG 9 |
| Increase transparency and accountability in the wine supply chain | This Challenge is focused on enabling the track of products and materials from source to final destination in the wine supply chain. We would like to explore the potential of employing blockchain technology and cover aspects related to quality control, traceability, and sustainability. | SDG 8
SDG 9 |
| Vehicle Fleet Management | Communities and SMEs alike suffer from lack of technical support in managing and growing their green vehicle rental service offerings as they are unable to compete with big commercial players.
This Challenge aims to help come up with innovative and intuitive solutions that will help reverse this trend. |
SDG 3
SDG 9 SDG 10 |
| Flood Risk prevention in Smart Cities | Climate hazards are already a serious threat to many urban dwellers, who are increasingly affected by extreme weather. This Challenge aims to deploy Digital Twin technology to support assessment of flood risks using Open Data (Geospatial, Satellite, Climate Data) and AI-based models. | SDG 9 |
| Clean energy solutions for sustainable agriculture | This Challenge aims to explore novel ways to develop and deploy deeptech innovations to generate low-cost and clean energy in particular for agricultural usage demands. | SDG 9 |
| Improving the user experience for data protection and privacy | Sharing private data (health, lifestyle) is always an issue: apart from the legal aspect, citizens should have an increased feeling of value they receive from sharing or donating their own data. This challenge aims to explore ways to offer citizens and patients an increased control over their own data, incentivising them to share or donate them for health- and medical-related research and innovation activities | SDG 3
SDG 8 SDG 9 |
| Prevention of harassment | With this challenge we seek to deploy viable NLP algorithms that can detect written harassment and be used as plug-ins to online corporate communications | SDG 5
SDG 8 |
| Digital transformation processes | Manufacturers and distributors of products in electronic marketplaces face many challenges and there is an increasing demand for coupling IT processes close(r) to the production processes. | SDG 9
SDG 10 |
| Optimization of machine operation | Production plants consist of many isolated machines that are not connected with each other. How can a plant interconnect all machines in one single platform? This platform will support AI and Data Analytics and enable functions such as controlling the machines, monitoring, and improving productivity, updating MES etc. | SDG 9 |
| Raw material and alloy upgrade | In a Scrap Sorting Unit of an aluminium production company, aluminium scrap goes through the shredder before going through the smelting process to turn into aluminium billets. During the alloying process unwanted elements remain in the material. A) How could we remove these unwanted elements? The alloy mixture is determined by employees based on experience (% of scrap and % al. billets). B) How could we optimise the mixture “recipe” to give the final product the characteristics we want? | SDG 9 |
ARE YOU A START-UP OR SME WITH A DEEP TECH SOLUTION?
S3E REVERSE is launching its first open call for applications for Solvers: start-ups and SMEs with deep tech solutions to overcome the challenges described above.
Any kind of SME can participate as long as it meets the following criteria:
- Is established in any country of the Southern European science-based innovation ecosystem is eligible for the Horizon Europe program including associated countries.
- Is capable of addressing a challenge that has been submitted as part of the conducted open call for Challenges and which is related to the 17 Sustainable Development Goals.
- Can justify the development and / or deployment of a Deep Tech solution.
OPEN CALL LAUNCHES ON 14 MARCH 2023
The Solver Organisation will be invited to submit a simple and quick application to present the proposed solution to any of the submitted challenges of the previous phase. The application will be submitted through the F6S platform and is available at: https://www.f6s.com/s3e-reverse-for-solvers/apply
To get ready to apply, do not forget to read carefully the Guidelines for Applicants, available here.
GET READY TO APPLY!
WE ARE LOOKING FOR YOU!
