My presentation for the EAAE PhD Workshop in Barcelona, 2017 to provide PhD students with some insights on a career in ag econ: themes, changing institutions, competences
This document discusses disruptive ICT trends in agriculture and food, including mobile/cloud computing, the internet of things, social media, and big data. It describes how these trends are enabling data capturing tools that can improve farm management through prescriptive agriculture and predictive maintenance. New players are challenging existing food chains through platforms that integrate data across the supply chain. These changes affect business models, as data becomes more valuable, and industry organization, as roles and power dynamics may shift. The document also discusses governance issues around data ownership, privacy, and potential scenarios for the future organization of agriculture and food systems.
Challenges for EU Agri-Food and implications for researchKrijn Poppe
Presentation given February 22, 2018 for the Italian association of engineers on European challenges for the agri-food system and implications for research
presentation of the Foresight Study in the AKIS-3 report on the future of the Agricultural Knowledge and Innovationn System, given in the EAAE seminar in Igls,Austria
Krijn Poppe Sofia EIPagri data driven bus modelsKrijn Poppe
This document discusses data innovations and business models in the agri-sector. It begins by outlining disruptive ICT trends like mobile/cloud computing, the internet of things, location-based monitoring, social media, and blockchain. It then provides examples of how IoT is being applied in smart farming, agri-food supply chains, and with consumers. The document also discusses challenges around data ownership, different business models emerging around farm data, and the need for collaboration and data exchange platforms. In closing, it notes the objectives of the seminar are to identify existing and potential data-driven business models, enabling conditions, and strategies to support their development.
Krijn J. Poppe presented on economic and scientific collaboration between East and West. He discussed trends in science and innovation such as the focus on multi-actor and interdisciplinary research. Collaboration between East and West could focus on topics like ICT, precision farming, and supply chain integration. Organizing collaboration through Horizon 2020 projects, public-private partnerships, and programs like the EBRD could help strengthen interaction in research between East and West.
This document discusses disruptive ICT trends in agriculture and food, including mobile/cloud computing, the internet of things, social media, and big data. It describes how these trends are enabling data capturing tools that can improve farm management through prescriptive agriculture and predictive maintenance. New players are challenging existing food chains through platforms that integrate data across the supply chain. These changes affect business models, as data becomes more valuable, and industry organization, as roles and power dynamics may shift. The document also discusses governance issues around data ownership, privacy, and potential scenarios for the future organization of agriculture and food systems.
Challenges for EU Agri-Food and implications for researchKrijn Poppe
Presentation given February 22, 2018 for the Italian association of engineers on European challenges for the agri-food system and implications for research
presentation of the Foresight Study in the AKIS-3 report on the future of the Agricultural Knowledge and Innovationn System, given in the EAAE seminar in Igls,Austria
Krijn Poppe Sofia EIPagri data driven bus modelsKrijn Poppe
This document discusses data innovations and business models in the agri-sector. It begins by outlining disruptive ICT trends like mobile/cloud computing, the internet of things, location-based monitoring, social media, and blockchain. It then provides examples of how IoT is being applied in smart farming, agri-food supply chains, and with consumers. The document also discusses challenges around data ownership, different business models emerging around farm data, and the need for collaboration and data exchange platforms. In closing, it notes the objectives of the seminar are to identify existing and potential data-driven business models, enabling conditions, and strategies to support their development.
Krijn J. Poppe presented on economic and scientific collaboration between East and West. He discussed trends in science and innovation such as the focus on multi-actor and interdisciplinary research. Collaboration between East and West could focus on topics like ICT, precision farming, and supply chain integration. Organizing collaboration through Horizon 2020 projects, public-private partnerships, and programs like the EBRD could help strengthen interaction in research between East and West.
Krijn Poppe nifa data summit Chicago 2016Krijn Poppe
This document discusses the opportunities and challenges presented by emerging technologies like mobile/cloud computing, the Internet of Things, location-based monitoring, social media, and big data for agriculture. It notes several disruptive ICT trends and their potential to enable unprecedented innovations. However, it also discusses issues around data ownership, platform governance, effects on markets and business models, as well as implications for government policy and public research. Two scenarios are presented - one of "captive product chains" dominated by large companies, and another enabling more "open network collaboration." Overall, the document analyzes how digital technologies could transform agriculture but also raises important questions around their adoption and impacts.
This document discusses whether Europe needs a food policy. It outlines four key societal challenges: healthy diets, food/nutrition security, climate change, and sustainability/resilience. Trends in the food system include the growing role of ICT and concentration in the food chain. The author argues that a food policy is needed to address these challenges, and that it should start by getting prices right and increasing R&D investment. Agricultural policy could support food policy goals but not replace the need for a dedicated food policy framework.
EUFRESHINFO ICT and business Rotterdam dec 2015Krijn Poppe
This document discusses the opportunities and challenges of using information and communication technologies (ICT) in the fresh food sector. ICT can enable real-time data exchange between farmers, processors, retailers, and consumers. However, adoption of connected solutions faces challenges like high costs, lack of integration standards, and concerns about data ownership. The document also explores scenarios for the future, including highly integrated platforms that bundle apps and data services, and greater interaction with consumers through food apps and smart technologies. Overall, ICT offers potential benefits but also risks of market concentration and lock-in if not developed through open collaboration and good governance.
Presentation for AERIAS, the global network of directors of Ag. Econ. Research Instiutes to discuss the FLINT project preliminary findings October 2016 Rome
Big data presents challenges and opportunities for farmers in managing digital production processes and data. Disruptive technologies like mobile/cloud computing, the internet of things, location monitoring, and social media are connecting more aspects of farming. This creates potential for innovations like precision farming, predictive maintenance, app ecosystems, and regionally pooled big data analysis. However, it also raises issues around data ownership, liability, business models, governance structures for data exchange, and ensuring cooperation across different stakeholders in agriculture. Resolving these challenges will be important to maximize benefits and prevent negative outcomes from increasing digitalization in farming.
This document discusses how big data and emerging technologies could impact horticulture and agriculture. It outlines several disruptive ICT trends like mobile/cloud computing, the internet of things, location-based monitoring, social media, and blockchain. These trends enable precision agriculture through tools like predictive maintenance, virtual farming simulations, and smart supply chain management. The document also examines the effects on business models, markets, and chain organization, as well as implications for policy and research. Overall, big data presents opportunities for unprecedented innovations in agriculture but also challenges around data ownership, market power, and outdated regulations.
The document discusses envisioning the future city from a city planning perspective. It begins by outlining worldwide megatrends like population growth, increased urbanization, and declining fossil fuels that present challenges for future cities. It then describes six essential components of the future city: efficient renewable energy; sustainable housing and buildings; efficient real-time communication; sustainable mobility; waste and resource management; and ensured high livability. The document concludes by examining factors and approaches needed to implement these components and establish values like health, availability of goods/services, and economic stability in future cities.
This document discusses the potential for agricultural economists to utilize big data. It outlines three ways economists could be involved: 1) Help industry and government innovate with big data and ICT, 2) Analyze the effects of these innovations on food chain structure and performance, and 3) Conduct policy analysis using big data. Two examples are given of building large datasets: linking existing farm data (FADN) with new sources, and creating a food/nutrition/health research infrastructure combining consumer and sector data. Overall, the document argues big data analysis holds promise for understanding farm decision-making but developing large linked datasets is still nascent.
The document summarizes a research project analyzing the viability of a multi-sided platform business for class 2 vegetables and fruits in Denmark. It begins with an introduction outlining the problem of food waste in Denmark, particularly from primary production and food producers. It then reviews literature on multi-sided platform businesses and concepts of network effects and critical mass. The research question posed is whether a viable business model can be built around a multi-sided platform for class 2 vegetables on the Danish market.
This document discusses the importance of manufacturing and identifies trends influencing its future. It notes that manufacturing contributes £130 billion annually to the UK economy and that the country is a top 10 manufacturer globally. The document then outlines key trends driving changes in manufacturing, such as new technologies like additive manufacturing and advanced materials. It also discusses strategic themes for the future of high value manufacturing in the UK, including cross-cutting areas like advanced manufacturing processes and mechatronics. Overall, the document analyzes manufacturing's role in the economy and identifies innovations that can help ensure UK competitiveness in the changing global landscape.
Spielman et al, digital tools and agricultural markets in africa, ifpri 21Ahmed Ali
IFPRI and USAID are discussing the potential of digital tools to support farmers in Egypt, launching a new digital app repository that aims to provide a list of agriculture digital tools meant to support smallholder farmers in Egypt.
BigDataEurope - Big Data & Food and AgricultureBigData_Europe
Big Data and the Food & Agriculture domain (vis-a-vis the respective H2020 Societal Challenge) - Opportunities, Challenges and Requirements. As presented and discussed in the public launch of the BigDataEurope project.
Provides an overview of the use of data (Big, Open, Linked Data) in the development context. The slides presents a model for D4D and highlights initiatives in two major streams of D4D initiatives.
- Agriculture faces many risks such as weather, labor shortages, lack of access to credit and markets, and more. Mechanization and ICT can help mitigate some challenges but funding is limited.
- Value chain approaches and country strategies should focus on crop improvement, access to inputs and services, post-harvest handling, access to markets, and demand-driven innovation.
- ICTs can help strengthen relationships between various agriculture actors like researchers, government, private sector, and farmers to improve access to information and markets. Startups are pursuing applications to aid areas like plant protection, FPO management, and farmer networking.
This document discusses the potential for innovation in organic and agroecological food and farming. It notes that innovation can take a long time and requires collaboration between academics, breeders, and farmers. Technical innovations also need accompanying marketing innovations to involve retailers and consumers. Social innovation is further needed to address issues like the coexistence of organic and transgenic approaches. The document advocates for more transdisciplinary and interactive research through networks and operational groups to better link researchers, farmers, and other stakeholders in the innovation process. National governments can support this by implementing the European Innovation Partnership to incentivize research, knowledge sharing, and adoption of innovations in agriculture.
Krijn Poppe nifa data summit Chicago 2016Krijn Poppe
This document discusses the opportunities and challenges presented by emerging technologies like mobile/cloud computing, the Internet of Things, location-based monitoring, social media, and big data for agriculture. It notes several disruptive ICT trends and their potential to enable unprecedented innovations. However, it also discusses issues around data ownership, platform governance, effects on markets and business models, as well as implications for government policy and public research. Two scenarios are presented - one of "captive product chains" dominated by large companies, and another enabling more "open network collaboration." Overall, the document analyzes how digital technologies could transform agriculture but also raises important questions around their adoption and impacts.
This document discusses whether Europe needs a food policy. It outlines four key societal challenges: healthy diets, food/nutrition security, climate change, and sustainability/resilience. Trends in the food system include the growing role of ICT and concentration in the food chain. The author argues that a food policy is needed to address these challenges, and that it should start by getting prices right and increasing R&D investment. Agricultural policy could support food policy goals but not replace the need for a dedicated food policy framework.
EUFRESHINFO ICT and business Rotterdam dec 2015Krijn Poppe
This document discusses the opportunities and challenges of using information and communication technologies (ICT) in the fresh food sector. ICT can enable real-time data exchange between farmers, processors, retailers, and consumers. However, adoption of connected solutions faces challenges like high costs, lack of integration standards, and concerns about data ownership. The document also explores scenarios for the future, including highly integrated platforms that bundle apps and data services, and greater interaction with consumers through food apps and smart technologies. Overall, ICT offers potential benefits but also risks of market concentration and lock-in if not developed through open collaboration and good governance.
Presentation for AERIAS, the global network of directors of Ag. Econ. Research Instiutes to discuss the FLINT project preliminary findings October 2016 Rome
Big data presents challenges and opportunities for farmers in managing digital production processes and data. Disruptive technologies like mobile/cloud computing, the internet of things, location monitoring, and social media are connecting more aspects of farming. This creates potential for innovations like precision farming, predictive maintenance, app ecosystems, and regionally pooled big data analysis. However, it also raises issues around data ownership, liability, business models, governance structures for data exchange, and ensuring cooperation across different stakeholders in agriculture. Resolving these challenges will be important to maximize benefits and prevent negative outcomes from increasing digitalization in farming.
This document discusses how big data and emerging technologies could impact horticulture and agriculture. It outlines several disruptive ICT trends like mobile/cloud computing, the internet of things, location-based monitoring, social media, and blockchain. These trends enable precision agriculture through tools like predictive maintenance, virtual farming simulations, and smart supply chain management. The document also examines the effects on business models, markets, and chain organization, as well as implications for policy and research. Overall, big data presents opportunities for unprecedented innovations in agriculture but also challenges around data ownership, market power, and outdated regulations.
The document discusses envisioning the future city from a city planning perspective. It begins by outlining worldwide megatrends like population growth, increased urbanization, and declining fossil fuels that present challenges for future cities. It then describes six essential components of the future city: efficient renewable energy; sustainable housing and buildings; efficient real-time communication; sustainable mobility; waste and resource management; and ensured high livability. The document concludes by examining factors and approaches needed to implement these components and establish values like health, availability of goods/services, and economic stability in future cities.
This document discusses the potential for agricultural economists to utilize big data. It outlines three ways economists could be involved: 1) Help industry and government innovate with big data and ICT, 2) Analyze the effects of these innovations on food chain structure and performance, and 3) Conduct policy analysis using big data. Two examples are given of building large datasets: linking existing farm data (FADN) with new sources, and creating a food/nutrition/health research infrastructure combining consumer and sector data. Overall, the document argues big data analysis holds promise for understanding farm decision-making but developing large linked datasets is still nascent.
The document summarizes a research project analyzing the viability of a multi-sided platform business for class 2 vegetables and fruits in Denmark. It begins with an introduction outlining the problem of food waste in Denmark, particularly from primary production and food producers. It then reviews literature on multi-sided platform businesses and concepts of network effects and critical mass. The research question posed is whether a viable business model can be built around a multi-sided platform for class 2 vegetables on the Danish market.
This document discusses the importance of manufacturing and identifies trends influencing its future. It notes that manufacturing contributes £130 billion annually to the UK economy and that the country is a top 10 manufacturer globally. The document then outlines key trends driving changes in manufacturing, such as new technologies like additive manufacturing and advanced materials. It also discusses strategic themes for the future of high value manufacturing in the UK, including cross-cutting areas like advanced manufacturing processes and mechatronics. Overall, the document analyzes manufacturing's role in the economy and identifies innovations that can help ensure UK competitiveness in the changing global landscape.
Spielman et al, digital tools and agricultural markets in africa, ifpri 21Ahmed Ali
IFPRI and USAID are discussing the potential of digital tools to support farmers in Egypt, launching a new digital app repository that aims to provide a list of agriculture digital tools meant to support smallholder farmers in Egypt.
BigDataEurope - Big Data & Food and AgricultureBigData_Europe
Big Data and the Food & Agriculture domain (vis-a-vis the respective H2020 Societal Challenge) - Opportunities, Challenges and Requirements. As presented and discussed in the public launch of the BigDataEurope project.
Provides an overview of the use of data (Big, Open, Linked Data) in the development context. The slides presents a model for D4D and highlights initiatives in two major streams of D4D initiatives.
- Agriculture faces many risks such as weather, labor shortages, lack of access to credit and markets, and more. Mechanization and ICT can help mitigate some challenges but funding is limited.
- Value chain approaches and country strategies should focus on crop improvement, access to inputs and services, post-harvest handling, access to markets, and demand-driven innovation.
- ICTs can help strengthen relationships between various agriculture actors like researchers, government, private sector, and farmers to improve access to information and markets. Startups are pursuing applications to aid areas like plant protection, FPO management, and farmer networking.
This document discusses the potential for innovation in organic and agroecological food and farming. It notes that innovation can take a long time and requires collaboration between academics, breeders, and farmers. Technical innovations also need accompanying marketing innovations to involve retailers and consumers. Social innovation is further needed to address issues like the coexistence of organic and transgenic approaches. The document advocates for more transdisciplinary and interactive research through networks and operational groups to better link researchers, farmers, and other stakeholders in the innovation process. National governments can support this by implementing the European Innovation Partnership to incentivize research, knowledge sharing, and adoption of innovations in agriculture.
The document discusses research for sustainable agriculture and linking knowledge with action. It notes the growing population in Africa and increasing urbanization will increase food demand. It argues the current approach of focusing only on biological aspects of agriculture is insufficient and a more inclusive social approach is needed. It also argues that the current knowledge system needs to change from a linear model to one that better links research with action through multidisciplinary collaboration and strategic partnerships.
Global Challenge, International Opportunity: Rehabilitation, Quality, Inclu...Alan Bruce
Presentation at NCRE Fall Conference in Washington, DC in November 2014. Focus on global dimesnions of rehabilitation education and international disability rights in professional best practice.
Krijn Poppe presented on Agricultural Knowledge and Innovation Systems (AKIS) in Europe. He discussed:
1) The background and mandate of the Standing Committee on Agricultural Research (SCAR) and its collaborative working group on AKIS.
2) Theoretical notions on innovation systems and the importance of a multi-actor approach to innovation.
3) The role of the EU in supporting science, research, and innovation through programs like Horizon 2020 while also stimulating interaction between national and regional AKIS through the European Innovation Partnership.
4) Conclusions from the working group that more can be done to incentivize responsive research and support cross-border collaboration in innovation.
Agricultural Innovation Systems: The Strengthening of DiversityLINKInnovationStudies
The theme for this presentation is the existence of and the increasing need for a diverse and expanding repertoire of ways of organising innovation in order to cope with the complex and fast-changing agricultural scenario. Accordingly, the challenge is not just to recognise this, but also how to enable the creation of this innovation diversity and how to reposition agricultural research within this rapidly changing landscape.
From technology transfer (TT) to agricultural innovation systems (AIS)ILRI
Presented by Iddo Dror at the SEARCA Forum-workshop on Platforms, Rural Advisory Services, and Knowledge Management: Towards Inclusive and Sustainable Agricultural and Rural Development, Los Banos, 17-19 May 2016
System redesign in animal production: Dutch experiences and broader relevanceILRI
The current Dutch animal production system faced issues like low animal welfare, disease, and environmental impacts. A new product development approach was used with stakeholders to holistically redesign the system. Challenges included gaining funding and retailer commitments. Visualizations and advocacy helped promote the new system, though full implementation remains ongoing. Lessons include building visions and interfaces to span boundaries in innovation projects.
the need for communication with the public and policy makers for agricultural economists exploting the potential of social media and open access. What can we learn for EuroChoices?
KJ Poppe EIP and ERAnets meeting Bonn 2014Krijn Poppe
The document discusses the European Innovation Partnership for Agricultural Productivity and Sustainability (EIP-AGRI). It provides an overview of EIP-AGRI's aims to foster innovation through linking policies, funding streams, and actors. Key aspects include establishing Operational Groups to develop innovative projects through multi-actor cooperation, and Focus Groups to identify innovation needs, opportunities, and priorities. The EIP network functions to facilitate information sharing, partnering, and feedback between research and practice communities. Horizon 2020 and rural development programs provide support for these EIP activities through measures like multi-actor projects, thematic networks, and funding for Operational Groups.
Topic 5 research in the era of globalization by simbulanMaria Theresa
This document summarizes a presentation on higher education research in the era of globalization. It discusses the dilemmas and challenges posed by corporate influence on universities, including altered academic priorities that reduce teaching importance and degrade research integrity. It proposes alternative networks that collaborate across agencies on common health research agendas and priorities to improve public health.
Paradigm shifts in agricultural extension involve transitions from one dominant perspective to another. Key shifts have included moving from a technology transfer model to advisory work, human resource development, and facilitation for farmer empowerment. Paradigm shifts occur through the discovery of anomalies that challenge existing beliefs, or through invention as new perspectives emerge to address failures of current approaches. Factors like national priorities, the role of government, globalization, and new challenges shape how paradigms evolve over time to incorporate more participatory, systemic, and sustainable approaches to agricultural research and development.
unimagined Shores: Jobless Futures and Digital GlobalizationAlan Bruce
Overview of the prfound and systemic changes in the job market and labor market access for marginaized groups, especially those impacted by disability. The presentation focuses on the impact of both globallization and new digital tecnologies. It posits a future where traditional jobs will disappear to be replaced by flexible employment structurres built around innovative socio-communicative competences and transferable methods of certification and accreditation.
Systems views of innovation are becoming increasingly important to agricultural research. 'New' Agriculture is situated in a global context that is evolving very rapidly with many different players. It requires rapid response and adaptation to this complex and changing context. Innovation Systems is thus critical as it is a means of organising thinking on ways of promoting innovation in complex, continuously changing environments with many actors and where straightforward technology transfer approaches are unlikely to work
This document discusses challenges and opportunities for multi-disciplinary research to improve communication across different professions. It analyzes factors such as who controls the research agenda, what questions are prioritized, and what methods are considered legitimate within the fields of education, health/older people, and social services. Cross-border issues are identified that could benefit from an inter-disciplinary approach, such as students from disadvantaged backgrounds who often face challenges in multiple domains. The document proposes that co-production of research through "communities of enquiry" may help different professions work together more effectively.
STI for social justice and sustainable development: a New STEPS Manifesto for Global Science
Presentation by Dr Lidia Brito, Director of Science Policy at UNESCO, at a Policy Lab event at the Royal Society, 14 June 2010.
This document discusses measuring societal impact of research. It defines societal impact as social, environmental, cultural or economic benefits from academic activities. Measuring societal impact is challenging due to the attribution problem. The UK Research Excellence Framework assesses societal impact through impact case studies that describe impact in different areas. Altmetrics are proposed as a potential way to measure broader impacts, though they may better reflect scientific rather than societal impact. A case study using multidimensional analysis of research groups at the University of Granada found some groups with profiles oriented toward teaching dissemination, media impact, and knowledge transfer as indicators of societal impact.
OSFair2017 Workshop | Why is responsible research & innovation important?Open Science Fair
Aliki Giannakopoulou talks about responsoble research and innovation (RRI)
Responsible Research & Innovation (RRI) is a way of researching that takes a long-term perspective on the type of world in which we want to live. It can strengthen research projects by emphasising openness, transparency, diversity, inclusiveness and adaptation to changes. Essentially, RRI aims to create collaborative frameworks in which citizens engage with scientists, entrepreneurs, decisions makers and other groups to work towards sustainable, ethically acceptable and socially desirable outcomes.
DAY 1 - PARALLEL SESSION 2
This document summarizes a presentation on future transitions at the farm level. It discusses several key challenges including climate change, reducing environmental impacts, ensuring food and nutrition security, and promoting healthy diets. It outlines scenarios for the future of European agriculture, including a high-tech scenario with driverless tractors and contract farming, a self-organization scenario with regional short supply chains and disruptive ICT, and a collapse scenario involving climate impacts, migration, and a move to local self-sufficiency. The role of ICT and trends like drones, big data, and blockchain are examined. Changes in farm size, livestock numbers, and food chain organization are also addressed.
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Presentation for the Strategic Dialogue on the Future of Agriculture, Brussel...Krijn Poppe
Presentation for the Strategic Dialogue on the Future of EU Agriculture, given in Brussels, April 2024. Introduction in agricultural economics for non-economists and sugggestions for a better food system based on the EEAC Advice on the Framework Law
KJPoppe DG AGRI Certification as a tool to reduce administrative burdensKrijn Poppe
Certification can be an effective tool to reduce administrative burdens on farmers and foster sustainability. It allows key performance indicators to be audited in a flexible way and provides feedback to help farmers improve. If indicators such as pesticide use, emissions and animal welfare are included in certification schemes, it can incentivize innovation. National governments could define minimum standards for indicators in eco-schemes, with certification methodology extended to all farms above a certain size. This would help harmonize public and private audits into a single annual process, while still allowing for local flexibility. Certification provides a way to reward farmers for the cost of more sustainable practices through frameworks requiring food industry to purchase from high scoring farms.
MEF4CAP national workshop NL KJP March 2023.pptxKrijn Poppe
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Sustainable food systems and the role of the agricultural economistKrijn Poppe
Key Note addrees at the DAE/OGA conference in Ljubljana on de role of agricultural economists in policy design with the EU Framework Law on Sustinable food systems as an example
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1. What a PhD candidate should know about
research after finishing a thesis
Krijn Poppe
Wageningen Economic Research
November 2017 EAAE PhD workshop Barcelona
2. Content of the presentation
Introduction: Wageningen UR and my background
Some trends in society
Effects on AKIS – Agricultural Knowledge and Innovation
System
How we react in Wageningen UR
A career at the University
A career in applied policy analysis
4. Wageningen University & Research
Academic research & education, and applied research
5,800 employees (5,100 fte)
>10,000 students (>125 countries)
Several locations
Turnover about € 650 million
Number 1 Agricultural University for the 4th year in a row
(National Taiwan Ranking)
To explore the potential of nature to improve the quality of life
5.
6. Krijn J. Poppe
(Business) Economist
Research Manager at
Wageningen Economic Research
Member of the Council for the
Environment and Infrastructure
(foto: Fred Ernst)
Member Advisory Committee Province of South-Holland on the
quality of the Living Environment
Board member of SKAL – Dutch organic certification body
Fellow EAAE. Former Secretary General of the EAAE, now involved
in managing its publications (ERAE, EuroChoices)
Former Chief Science Officer Ministry of Agriculture
7. Trends in society
Disruptive role of ICT
Issues in the food chain:
sustainability and health
The end of the expert and the
answer of citizen science
8. Disruptive ICT Trends:
Mobile/Cloud Computing – smart phones, wearables,
incl. sensors
Internet of Things – everything gets connected in the
internet (virtualisation, M2M, autonomous devices)
Location-based monitoring - satellite and remote sensing
technology, geo information, drones, etc.
Social media - Facebook, Twitter, Wiki, etc.
Block Chain – Tracing & Tracking, Contracts.
Big Data - Web of Data, Linked Open Data, Big data
algorithms
High Potential for unprecedented innovations!
everywhere
anything
anywhere
everybody
10. Food chain: 2 weak spots – opportunity?
Input industriesFarmerFood processorConsumer Retail
• Public health issues –
obesity, Diabetes-2 etc.
• Climate change asks for
changes in diet
• Strong structural change
• Environmental costs
need to be internalised
• Climate change (GHG)
strengthens this
Is it coincidence that these 2 are the weakest groups?
Are these issues business opportunities and do new
technologies like ICT help?
11. The end of the expert and the answer of
citizen science
Post-modernism: “science is just
another opinion”
There is distrust of experts
And of elites / the powerful
Commercial influences in research
Media looking for new business
models (advertising goes online)
Politicians more short sighted?
Citizen science, (digital) commons
12. Effects of trends on AKIS – agricultural
knowledge and innovation system
Some findings from the SCAR – AKIS strategic working
groups
Case study: the Netherlands
What does it mean for the PhD
● Working in a university
● Working in an applied (policy) research institute
14. 3 Scenario’s to explore the future
HighTech: strong influence new technology owned by
multinationals. Driverless tractors, contract farming and a rural
exodus. US of Europe. Rich society with inequality.
Sustainability issues solved. Bio-boom scenario.
Self-organisation: Europe of regions where new ICT
technologies with disruptive business models lead to self-
organisation, bottom-up democracy, short-supply chains, multi-
functional agriculture. European institutions are weak, regions
and cities rule. Inequalities between regions, depending on
endowments.
Collapse: Big climate change effects, mass-migration and
political turbulence leads to a collapse of institutions and
European integration. Regional and local communities look for
self-sufficiency. Bio-scarcity and labour intensive agriculture.
Technology development becomes dependent on science in
China, India, Brazil.
15. AKIS in the 3 scenario’s
HIGH TECH SELF-
ORGANISATION
COLLAPSE
Uni-
versity
A few big Life Science
Uni’s. Intense
collaboration with
companies. MOOCs
and TEDx’s (3rd
generation model:
innovation)
Many regional
universities that
specialise. 2nd
generation
(teaching and
research).
Reduced public
funding, struggle to
keep alive and stay
relevant. Back to first
generation university
(teaching).
Applied
research
Moves into (applied)
universities.
Moves into applied
(higher) education.
Relatively important
over fundamental
research..
Farm
research
stations
Public and collective
funding ends;
disappear
More intertwined
with applied
research and
advisory service.
disappear
Advisory
service
Service provided by
multi-nationals and
their computer-
generated advice.
Mix of public
extension service
and commercial
advisory
organisations.
Disappear, some help
from local do-gooders
/ lead farmers. Big
role of donors
16. Can we make AKIS more robust ?
Experiment with public-private partnerships
Welcome regions, cities and NGO’s as partners
Create links (cross-overs) with other sectors: Bio-
economy, energy, ict, food & health, logistics etc.
Transdisciplinary, Social dialogue, Governance issues
Create research-infrastructures that foster
collaboration (ERA), that support national / regional
research and innovation and help to introduce E-
Science
Don’t forget education - link it better in AKIS
Collaborate with international partners (US, China,
India) and better integrate AR and ARD
17. Case study: The Netherlands and its history
• Public research in agriculture dates from the 1880s
• Ministry of Agriculture responsible for agricultural education
• Investments in education, extension and research is one of the
most important policy instruments of the Ministry of
Agriculture (and 40% of its budget)
• helps also in national co-governance politics
• EER Triptych: Education, Extension and Research
• Contributed to the modernization process after WO II
• Based on classical linear model of innovation
18. The linear model of innovation
Figure The linear model of
innovation
Fundamental Science
Applied Science
Education (future generation) &
Extension (current generation
farmers)
Farming practice
Generation of
Innovations
Transfer of
Innovations
Application of
Innovations
19. Driving forces for institutional changes in R&D
Table 2 Driving forces in Dutch agriculture that lead to institutional changes in research
Driving force From ….. To …..
Consumer demand Production of (basic)
food
Value added by food chain
Public interest Modernisation of farming Cope with externalities, supply
management and ‘consumer
concerns’ (like landscape and animal
welfare)
Labour market Hidden unemployment in
farming, low education
and local labour markets
Regional labour markets with
shortages and well educated farmers,
Farm households Weak integration in
markets
Heavily integrated, often non-farm
income of spouse
Farm business Lack of (access to)
capital
Capital intensive, high land prices
(collateral), well integrated in credit
market
Organisation food chain Small local cooperatives Large multinationals
20. Institutional changes to improve performance
Privatisation of extension: end of EER triptych (1980s)
Applied research institutes merged into agency outside
civil service
● and from input to output finance
● Shift from technical research to environmental /
social
● more multidisciplinary
● decline co-financing by Commodity Boards
(heterogeneous farms)
● PPS matching schemes (AKK)
1996 – merge applied research institutes and university
● different organizational integration models
21. Institutional changes to improve performance
• Transition to sustainable agriculture:
• InnovationNetwork: radical new concepts
• Transforum: towards Open Agro-Innovation
System
• More research by regional agricultural schools
• to solve the knowledge paradox
• ‘good in science, bad in innovation’
• How to assess effectiveness and efficiency of such
decisions?
• not by productivity analysis but what else?
22. M&E Transition to agro innovation system
Knowledge creation is not a linear process
More Mode 2 than Mode 1 (Gibbons)
Triple Helix: dynamics of networks important
Mode 1 Mode 2
Academic Oriented towards application
Discipline-oriented Transdisciplinary
Homogeneous Heterogeneous
Linear and stable Non-linear and volatile
Academic quality control Quality management on a
broader set of criteria
Accountable to peers Accountable to society
23. Trendsin universities
Medieval or First
Generation University
Humboldt or Second
Generation University
Third Generation
University
First Transition
Period
Second Transition
Period
J.G. Wissema Associates bv
Thanks to R. Rabbinge
24. Emerging: The 3G University and the know
how carousel
Know how carousel: the more
elements, the more the others are
reinforced. Synergy and scale
create winners
Scientific
research and
education
Private R&D
institutions
R&D
departments of
companies,
Technoparks
Financial
infrastructure
Professional
support
organisations
Technostarters
J.G. Wissema Associates bv
Thanks to R. Rabbinge
25. Contours of a 3G University
Cooperation: via know how carousel and other
ways. The 3G University is a network university
Addition of know how exploitation as third
objective. Know how exploitation will be integrated
with research and education
Recovery of academic integrity
End of direct government contribution
● Fundamental research from state grants/donations
● Applied research from industrial and state grants
● Education via market mechanism, students pay full
fees and get support from state or other grants
J.G. Wissema Associates bv
Thanks to R. Rabbinge
27. The Wageningen approach: biological and social
Individual
Society
Community
Household
Gene/ MoleculeGene/ Molecule
Cell
Organism
Products
Ecosystem
Planet
Policy & limiting conditions
institutions
technologies
peopleprofitplanet
28. Tenure track at Wageningen University
Wageningen University & Research offers young talented
scientists a challenging career trajectory, Tenure Track. We
have the ambition to attract top scientific talent and to
stimulate their development.
Chances for top scientific talent
You will start as an Assistant Professor and will grow into
the position of Professor holding a personal chair in a
period of twelve years. We are looking for high potentials
who can excel in education and research.
This challenging career path can lead to a permanent
position at Wageningen University & Research when you
meet the quality criteria. You will build your own line of
research.
29. Tenure track at Wageningen University
Development programme
During the entire trajectory you will be intensively
supervised and coached. A development programme,
especially developed for Wageningen University &
Research by Leeuwendaal Advies, is included.
The development programme starts with an assessment,
in which you will explore which competencies are
important for you in your career and which competencies
need to be further developed. The outcome of this survey
will be used to make up your own Personal Development
Plan. This plan comprehends training, group intervision
and personal coaching.
Time to excel
31. Working @Wageningen Economic Research
Applied research commissioned by Dutch government,
European Commission (incl. H2020), Public-private
partnerships
Research lines of H2020, Policy research and PPP on
several topics (sustainability, food security, food-health
etc.)
Career involves project management, business
development.
In general excellent T-shaped skills needed in
multidisciplinary project teams. Sector-knowledge.
Including presentations for non-expert audiences, policy
advise.
33. 10 Commandments (from Don Paarlberg)
1. Get your economics straight ('Nobody expects you to be a
political expert, but people do expect you to know your
economics')
2. Do not leak ('Report only to your boss'; 'if you have a poor
memory, tell the truth, so you can remember what you said
earlier')
3. Do not be overly concerned with survival ('survival is a
means, not an end')
4. Be sure your boss wants an honest job
5. Anticipate, probe and be objective ('try to anticipate issues
and research them before they become emotional'; 'it is
better to break new trails than to shift the ashes of the
campfires laid by others')
34. 10 Commandments (from Don Paarlberg)
6. Do not be rigid ('research should be done in the spirit of
inquire, and the essence of inquiry is that it is not too sure
of the answers')
7. Do not malign the bureaucracy
8. Do not impugn a person's motives ('if you have a
difference with a person, allow him a way to retreat with
honor' - Eisenhower)
9. Communicate well, respect deadlines ('a perfect report,
oral or written, received after the deadline is useless'; 'be
brief and use plain language')
10.In special cases disregard the above