IHAN PILOT PROJECTS
The projects will help build a fair data economy. They are based on real business and will create new services and solutions by using individuals’ personal data with their permission.
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WHAT IS IT ABOUT?
We implemented the call for funding applications as part of Sitra’s IHAN® – Human-Driven Data Economy focus area, which will run until 2021. Some projects started in 2018 and the rest will start in spring 2019. All projects will be finished in 2021.
Projects in progress
The MyCelia project defines the new digital identity standard for music makers. MyCelia Passport is the digital container to hold verified profile information, IDs, acknowledgements, works, business partners and payment mechanisms. It helps get music makers and their works linked and open data for business and speeds up the payment flow to artists.
Project parties: MyCelia
Blood glucose measurement and data sharing for children with diabetes is a project focused on building an ecosystem that allows parents to authorise the use of their children’s health data by schools and youth sports teams, for example.
Project parties: The Hospital District of Helsinki and Uusimaa (HUS), CGI and the Population Register Centre.
The Fairdrop consent receipt management solution gives a fresh perspective on granting authorization on the usage of your personal data. New dynamic consent model for personal data exchange gives you a wider view and a stronger grip of your data assets.
Project parties: DataFund
Minerva – Digital Wallet
Minerva is designed as a new generation of a mobile digital wallet, similar like an analog wallet but for the decentralized economy in the Web 3.0 with a strong focus on simple to use interfaces. With the wallet people can manage their electronic identities and data assets. The main objective of this project is to build the Minerva digital wallet.
The project will end in 2020.
Project participants: : Lab10c, DanubeTech
The Patient-Centric Real-World Data project examines whether pharmacies can act, with the patient’s consent and using strong identification, as trusted collectors of information that flows between patients, controllers and the pharmaceutical industry. In this pilot project, multiple sclerosis patients are invited to provide information about their disease using an electronic form. The combination of this real-world information and the clinical data found in registries yields more detailed material that serves as a basis for creating new and better services and innovations.
The project will end in October 2019.
Project parties: Oriola, Farenta, Suomen Tilaajavastuu, Nixu, Kronas Apotek.
In the Sandbox of Trust project new tools for electronic identification for Finland are being built. The plan is for the new SisuID solution to be applicable in both the public and private sectors. The aim is to make life for ordinary people easier amid the digitisation of society and to improve Finland’s competitiveness in international markets.
The project will end in 2020.
Project parties: Nixu, Suomen Tilaajavastuu and Digital Living International.
Personal data supporting the optimal training of top athletes
In a joint pilot project, the Finnish Olympic Committee, Polar and Tieto are testing a new system for gathering and analyzing the performance data of athletes. Together, they are creating a pilot solution for the collection, management and distribution of top athletes’ personal data. At the same time, Finnish sports research is being developed to be more data-driven and top-level national sport directors will get a better view of the athletes’ overall situation.
The project will end in summer 2020.
Project parties: Finnish Olympic Committee, Polar and Tieto
Using the well-being data of conscripts in boosting physical condition
The data platform created in the project offers a secure place for collecting data about factors that influence the performance of conscripts. The project collects and uses data measured by individuals as well as data related to well-being and behaviour with the consent of the pilot project participants. A model is developed for the authorisation and utilisation procedures related to well-being data. The model can be used in different areas, such as healthcare, well-being at work and basic education.
The project will end in the spring 2020.
Project parties: Finnish Defence Forces, Tieto, Suunto
Self-collected well-being data to Kanta service (personal health record in Finland)
The main objective is to get the data flowing, in a way where people are in full control over the well-being and health data they generate. People control how they share their data with healthcare organizations and under which terms it can be used there. They also get to choose when, how, and by whom their data is being used for research and other purposes.
The project will end in 2021.
Project participants: Sensotrend, Kela, THL, STM
My Travel health, Tokyo 2020 is a project that pilots the convenient and reliable use of health data recorded in Finland wherever an international traveller might need to use healthcare services. The project is part of the EU’s Patient Summary Initiative.
Project parties: Fujitsu, the Social Insurance Institution of Finland (Kela) and the Finnish Ministry of Social Affairs and Health.
Trust Through Citizen AI Transparency
The project provides an information model for public sector AI transparency and design guidelines for public sector AI informing. It aims to standardize the ways which AI is being communicated to citizens in Finnish cities and governmental organizations. During the pilots, participating organizations will also learn the required process impacts to realize practical citizen transparency. The information model will be enabled technologically from Saidot’s AI transparency platform, allowing participating organizations the flexibility to pilot the information models and guidelines in the context of their own AI systems.
The project will end in 2020.
Project parties: City of Espoo and Helsinki and the Social Insurance Institution of Finland (Kela), Ministry of Justice and Saidot
What was achieved?
The Farmidata project aimed to improve the conditions and resource efficiency of food production with the help of digitisation. The three experiments, implemented in the Salo region, wanted to find out about the development needs of agricultural information technology as well as the opportunities provided by digitisation.
- The Farmimapping pilot used drones for plot imaging. The produced location data was then used for precision farming. The data made it possible to define the correct amount of fertiliser for crops, so the data was directly applicable to controlling the fertiliser spreader. This prevented the excessive use of nutrients that creates nutrient runoffs, which then eutrophicate water systems. Additionally, the collected data and more precise amounts of fertiliser created savings in fertiliser costs.
- The Farmistore product concept aimed to find a solution for real-time fuel monitoring on farms as well as the creation of purchasing groups and the optimisation of consumption.
- The Farmisää (Farm Weather) pilot defined a micro-weather network from real-time weather and soil data. IoT sensors produced more precise weather data than before and monitored the soil. Farmers found the results from the pilot helpful, particularly last summer, which was hot and dry, as they received precise data from the air and from a depth of 15 cm into the soil. Technology even enables monitoring that goes significantly deeper down into the soil.
Where possible, the technological solutions created in the pilot will be used in other IHAN projects, and they will be published as open source code later. The pilot was implemented between March and October 2018.