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Presenter: Bent Egberg Mikkelsen & Karin Zimmerman
Date: 13|06|18
Occasion: Plovdiv June 2018
Why the food sector needs
a ...
Two important drivers
1. From Projects to Permenancy
2. From Research3.0 to Research4.0
Why a RI is a good idea 1
Results has an amazing ability to disappear when projects close
”So you want the original data s...
Business Generated Data Case Studies. Richfields D8.1 Bent Egberg Mikkelsen, Kwabena Titi Ofei,Haris Hondo, Erik Kaunisto ...
One thing is for certain
Recent policy papers says the same
The food sector compared to travel tech,
health tech and finte...
What is a Infrastructure?
Its got 2 dimensions. Hard & Soft
Hard part: labs, devices, machines etc Soft part: multi source...
What is smart food labs
3 cases of Laboratory generated data
Step 1
• Case studies on three facilities (Fake Food Buffet,
...
Behavioural food labs
case of foodscape lab
Use case: Know now or in 5 years?
Get realtime answers on food intake
• 7 day food record
• High drop out rate
• Primarily...
Consumer4.0
always connected
•Uses many channels for communication
•Uses different shopping channels: web,
brick & mortar ...
Use case 1: Get realtime answers on food intake
Consumers & Data
Why research infrastructures?
Some societal trends pushing us
Digitalisation
 Data platforms, linked ope...
Research infrastructure:
enabling response to scientific & societal challenges
Research
Infrastructures
centre of knowledg...
Research Infrastructures:
overcoming fragmentation
Transition to
Consumer centred
FNH-RI
Inter-disciplinary
Multilevel
Mul...
to be an overarching, virtual, integrated
research environment to collate, validate,
harmonize and connect existing
and fu...
FNH-RI model
added value by scientific integration of fragmented
and locked data via services to stakeholders
supporting t...
• EU, Research Infrastructure projects
• EuroDISH: Determinants – Intake – Status - Health
• RICHFIELDS: Focus on gap Dete...
2024
Fully operational
Food, Nutrition
& Health RI
Food, Nutrition and Health RI
Time line 2015-2025
2015 2016 2017 2018 2...
The FNHRI in the making
Consortium building proces
Maturity
full-blown research infrastructure
Growth
Expansion of core in...
 to ensure sustained advocacy
for food information in Europe
 develop, publish and exploit
food composition information
...
FNH-RI Funding scheme
FNH-RI Member States
FNH-RI
National Public Funding National Public Funding National Public Funding
...
Take home messages
• Project created data needs ”perpetuumisation”
• A new openness and sharing economy calls for RI’s
• S...
Pre CPH Food Summit training course
På gensyn i sommer København
Read more & register free of charge here
Why the food sector needs a research infrastructure on Food and Health Consumer Behaviour and Lifestyle? – Insights from t...
Why the food sector needs a research infrastructure on Food and Health Consumer Behaviour and Lifestyle? – Insights from t...
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Why the food sector needs a research infrastructure on Food and Health Consumer Behaviour and Lifestyle? – Insights from the RICHFIELDS design study

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Bent Egberg Mikkelsen and Karin Zimmermann's presentation at the eROSA Workshop “Towards Open Science in Agriculture & Food”, a side event to High Level conference on FOOD 2030, Plovdiv, Bulgaria (13/6/2018)

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Why the food sector needs a research infrastructure on Food and Health Consumer Behaviour and Lifestyle? – Insights from the RICHFIELDS design study

  1. 1. Presenter: Bent Egberg Mikkelsen & Karin Zimmerman Date: 13|06|18 Occasion: Plovdiv June 2018 Why the food sector needs a research infrastructure on Food, Health Behaviour & Lifestyle – insights from the RICHFIELDS design study Bent Egberg Mikkelsen, AAU – CPH & Karin Zimmerman, WUR eROSA Open PreFood2030 Summit, Plovdiv June 13, 2018 Consumer
  2. 2. Two important drivers 1. From Projects to Permenancy 2. From Research3.0 to Research4.0
  3. 3. Why a RI is a good idea 1 Results has an amazing ability to disappear when projects close ”So you want the original data set?” ”Well thing is that was on my Laptop that got stolen and the backup did not work”  Disclaimer: Quote is purely fictional. Any resemblance to actual persons, living or dead, or actual events is purely coincidental
  4. 4. Business Generated Data Case Studies. Richfields D8.1 Bent Egberg Mikkelsen, Kwabena Titi Ofei,Haris Hondo, Erik Kaunisto (2017) Why a RI is a good idea 2 stakeholder views on Big big food data analytic and “food & the digital” ”We have so many data we dont know what to do with them ” Chief data analyst, Major Danish Retailer ”Something is rotten in the state of the retail sector. Its changing but we dont know how. What we do know is that its digitally driven” Major Danish Market Intelligence Bureau with inspiration from Shakespeare Stakeholders workshop report (2017). Richfields D 8.3. Kwabena Titi Ofei, Bent Egberg Mikkelsen, Haris Hondo, Erik Kaunisto, Sophie Hieke
  5. 5. One thing is for certain Recent policy papers says the same The food sector compared to travel tech, health tech and fintech are lacking behing in terms of taking advantage of ”the digital”
  6. 6. What is a Infrastructure? Its got 2 dimensions. Hard & Soft Hard part: labs, devices, machines etc Soft part: multi source data Lab generated Bizz generated Consumer generated Register stored 6y • Lab generated: experimental behavioral data • Bizz generated: shopping data • Consumer generated: Instagram, Facebook etc • Register data: Socio demographics, weather, health etc
  7. 7. What is smart food labs 3 cases of Laboratory generated data Step 1 • Case studies on three facilities (Fake Food Buffet, FoodScape Lab, Restaurant of the Future) • Food choice, purchase and consumption Step 2 • Mapping additional facilities across Europe (private and public) • Expert interviews in selected facilities (commercial and public- private institutions) Step 3 • Stakeholder workshops to discuss these insights • Synthesis of findings and recommendations N=3+2
  8. 8. Behavioural food labs case of foodscape lab
  9. 9. Use case: Know now or in 5 years? Get realtime answers on food intake • 7 day food record • High drop out rate • Primarily ressource full respondents • Labor intensive data cleaning • Five years before reporting • Costumer generated • Card based (loyalty, credit etc) • Directly interface to TradeSync • Realtime sourced • Based on DonateYourData/sharing economy ”Your idea of a digital data platform is the future but you needa’ come back in 2 years.”, Deputy director, DK Govennment Food Agency
  10. 10. Consumer4.0 always connected •Uses many channels for communication •Uses different shopping channels: web, brick & mortar and mixed •Has relations with many different enterprises •Would potentially like to share data
  11. 11. Use case 1: Get realtime answers on food intake
  12. 12. Consumers & Data Why research infrastructures? Some societal trends pushing us Digitalisation  Data platforms, linked open data, standards  Apps, sensors, wearables Personalisation  Individual feed back structures  Quantified self Globalisation  Global markets and global SDGs  Internet Integration  Fragmentation in sectoral policies and practices to be overcome Citizen science  Citizens become engaged in research
  13. 13. Research infrastructure: enabling response to scientific & societal challenges Research Infrastructures centre of knowledge triangle  Unique research services, facilities and resources and related services ● ‘single-sited’ ● ‘distributed’ ● ‘virtual’  Scientific discoveries & technological development  Help to shape scientific communities  Attract young people to science & attract the best researchers around the world  Build bridges between national research communities and scientific disciplines via users from different countries Education Research Innovation
  14. 14. Research Infrastructures: overcoming fragmentation Transition to Consumer centred FNH-RI Inter-disciplinary Multilevel Multisector Fragmented Disciplinary Sectoral Ineffective Inefficient
  15. 15. to be an overarching, virtual, integrated research environment to collate, validate, harmonize and connect existing and future research data & tools as well as labs & experimental facilities. Aim of FNH-RI
  16. 16. FNH-RI model added value by scientific integration of fragmented and locked data via services to stakeholders supporting the interoperability of standardization and quality management of data and tools conditions for access, organizes centralized and distributed activities, and enables flexibility regarding innovation within the RI Data platform ICT backbone Governance structure
  17. 17. • EU, Research Infrastructure projects • EuroDISH: Determinants – Intake – Status - Health • RICHFIELDS: Focus on gap Determinants – Intake • Food Nutrition Health RI roadmap (ESFRI) • 2015, based on (premature) application, lessons learned • Next round 2019/20 • EU Member States • Preparing FNH-RI consortium for ESFRI-roadmap • Political & fin support ESFRI roadmap applic (Ministries) • National roadmaps (DK,NL,IT,UK,FR,SL). Coming up new node 2019 Three tracks to the FNH-RI
  18. 18. 2024 Fully operational Food, Nutrition & Health RI Food, Nutrition and Health RI Time line 2015-2025 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 RI building: Member State & EU level funding Preparatory phase Implementation phase Growth of Member States and stakeholders involved RI design & development : Member State & EU (H2020, JPI, etc.) FNH-RI Foundation Design phase
  19. 19. The FNHRI in the making Consortium building proces Maturity full-blown research infrastructure Growth Expansion of core interactions and services Launch The core interaction Building consortium
  20. 20.  to ensure sustained advocacy for food information in Europe  develop, publish and exploit food composition information  promote international cooperation and harmonisation of standards to improve data quality, storage and access. metrology and standards for food labs on food safety, food quality and food data  ethics check  guidance on ethical, legal, and social issues when exchanging data  centres for nutrition in EU  toolbox for trials  standards for data  databases & tools catalogue  recommendations for data storage/transfer/ access  cloud provisioning FNHRI interconnectivity Services & tools in- & external to FNH-RI
  21. 21. FNH-RI Funding scheme FNH-RI Member States FNH-RI National Public Funding National Public Funding National Public Funding FNH-RI National Nodes 1 FNH-RI National Nodes 2 FNH-RI National Nodes 3 FNH-RI ESFRI funding
  22. 22. Take home messages • Project created data needs ”perpetuumisation” • A new openness and sharing economy calls for RI’s • Supported by high level research & RI policy • The development is fuelled by digitization • For Food & Nutrition the need is less obvious than for neutron research • Support for Food & nutrition RI’s is contamineted by slow digital growth in the food sector • BTW: Are your country ready for the FNHRI?
  23. 23. Pre CPH Food Summit training course På gensyn i sommer København Read more & register free of charge here

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