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Over hele Europa er det tydelig at dagens jordbrukspraksis ikke lenger er bærekraftig, og at jordbrukssystemene må endres for å opprettholde matproduksjonen og samtidig ivareta det biologiske mangfoldet, økosystemene og de mange fordelene de gir samfunnet.

En løsning på dette er agroøkologi. Agroøkologisk jordbruk har til felles å utnytte naturlige økologiske prosesser for å gjøre jordbruk mer bærekraftig. Dessverre, til tross for mye forskning på agroøkologisk jordbrukspraksis, er bruken av dette svært begrenset i Europa.

I SAFER-prosjektet vil et stort team av europeiske forskere jobbe på tvers av et nettverk med seks 'levende laboratorier', det vil si at gårder i drift på tvers av Europa vil iverksette agroøkologisk praksis. Ved samarbeid på de involverte gårdene, vil bønder, forskere og andre interessenter sammen bidra til økt kunnskap om agroøkologi. Det vil gi mer kunnskap om de landbruksmessige, miljømessige og sosialøkologiske fordelene, samt de mulige avveiningene mellom ulike fordeler.  

Teamet fra Universitetet i Bergen, ledet av prof. Peter Manning, vil være en viktig bidragsyter i prosjektet. De skal oppskalere data fra prosjektet på felt- og gårdsnivå til hele landskap, og simulere endringer i gårdspraksis ved å bruke en kombinasjon av samfunnsvitenskap, fjernmåling og matematisk modellering. Dette vil gi prognoser for hvordan konsekvenser av landsbruksstrategier på landskapsnivå påvirker hele systemet, fra bønder til lokale interessenter. 

Sluttproduktet vil være detaljert kunnskap om hvordan ulike økologiske praksiser påvirker bønder, bygdesamfunn og om hvilke strategier som øker bærekraftig produksjon og flerfunksjonalitet i europeiske jordbrukslandskap. Ved aktiv involvering av bønder og andre interessenter gjennom hele forskningsprosessen, tar vi også sikte på å øke relevansen og bruken av de identifiserte løsningene.

Agroecology offers an opportunity to reconcile agricultural production with human well-being across Europe. However, despite significant evidence that agroecological farming reduces the environmental footprint of agriculture, agroecology is struggling to expand across Europe. This limited adoption emerges from a limited understanding of the cross-disciplinary impacts (agronomic, ecological, economic and social dimensions) of upscaling agroecological farming and recent social unrest following the deployment of agroecological policies indicates that there is an urgent need to address this issue. In addition, a major challenge for agroecology is that no single agroecological practice is suitable for all contexts. Instead, practices need to be targeted and adapted to local socio-ecological contexts, with a strong involvement of stakeholders. Addressing such challenge implies a paradigm shift towards co-design in research and innovation in agroecology.

SAFER will address these challenges by mobilizing a European network of 6 Living Labs distributed across contrasting regions and social-ecological systems, in a multidisciplinary approach. We will: (i) co-design best suited agroecological practices adapted to local social-ecological conditions via a participatory approach that actively involves stakeholders; (ii) quantify the multiple agronomical, environmental and socio-economic benefits and risks of scaling up these agroecological practices from the field to the landscape scale using a similar landscape-scale design across Living Labs; (iii) forecast the whole-system consequences of landscape-scale strategies for farmers and local stakeholders; (iv) identify how local policies, stakeholder demands and the Living Lab methodology can enhance or limit the expansion of agroecological practices

Work at UiB will concentrate on modelling work in (ii) and (iii) but will contribute to all aspects.

AGROECOL 1 SAFER Strengthening Agricultural landscape multiFunctionality through expansion of agroecological farming in EuRope (SAFER)

In-Network Intelligence and Technologies

Kunstig intelligens (KI) forandrer økonomien i rekordfart, men vi vet fortsatt ikke helt hvilke konsekvenser det vil få. Vil KI gi oss mer innovasjon, høyere produktivitet og økonomisk vekst? Eller vil det føre til færre jobber, økende ulikhet og mer makt til store selskaper? Politikken vil spille en avgjørende rolle i å styre utviklingen. Myndigheter står overfor et viktig spørsmål: hvordan kan vi sikre at KI gir flest mulig fordeler uten å skape store samfunnsproblemer? Skal politikken først og fremst fremme økonomisk vekst, eller bør den fokusere på å redusere ulikhet og risiko? Å finne riktig balanse er avgjørende, men vi har fortsatt ikke klare svar på hvordan dette kan gjøres best mulig. Dette prosjektet søker å gi svar ved å bruke en ny tilnærming. I stedet for å basere politikk på teori alene, bør vi lære av tidligere erfaringer. Ved å analysere hvordan tidligere KI-relaterte tiltak har påvirket bedrifter og samfunnet, kan vi utforme smartere og mer treffsikre løsninger. Målet er å utvikle politikk som gir størst mulig nytte for samfunnet – både nå og i fremtiden.

There is currently a vivid societal debate and nascent research about the economic effects of artificial intelligence (AI). Some expect to see positive impacts in terms of innovation, productivity and economic growth. Others point to possible economic harms such as technological unemployment, increasing market concentration and exacerbation of income inequalities. 

Public policies will have a crucial role to shape the direction and extent of these effects. However, it is still quite unclear what policies could do to foster the future economic benefits of AI, what they could do to avoid its possible harms, and how they could balance the positive and negative impacts. 

The present project will investigate the trade-off between growth and inequality effects of AI, and analyze how public policies for AI should be designed in order to take this trade-off into account. 

The key novel aspect of the project will be the application of the optimal policy learning (OPL) approach to the study of policies for AI. The main idea of this approach is that optimal policies should be designed by exploiting information about the effects of previous policies on the treated agents, in such a way that new policies will seek to maximize ex-ante the empirical welfare of the target population. In other words, the design of new policies is optimal because it is based upon, and it learns from, the effects of previous policies and the heterogenous characteristics of agents. 

To apply this approach to the study AI policies, the project will develop the following pillars: (1) a conceptual framework of firm heterogeneity and AI, which points out the main factors that affect firms’ adoption of AI and its effects; (2) empirical analysis of how AI and related policies affect different types of firms; (3) analysis of how different policies should be designed in order to maximize empirical welfare, and how these policies can address the trade-off between efficiency and equity effects of AI.

Artificial Intelligence: Growth, Inequalities and Public Policies

Crustacean sentience (the capacity of this group to experience emotions) has sparked a heated debate across multiple disciplines, particularly as it could impact several major sectors such as fisheries and aquaculture. The outdated argument that animals do not experience negative emotions (such as pain) because they lack conscience, has been proven wrong for vertebrates and some invertebrates (e.g. octopus), but remains controversial for crustaceans. There is evidence of criteria consistent with the idea of pain, as crustaceans have and activate nociceptive pathways, but there is no evidence of the neural pathways integrating the responses nor the demonstration of the awareness thereafter. This is partly due to the ‘dispersed’  central nervous system (CNS) these animals present, with multiple ganglia, but no ‘brain’ as a focal point. To overcome this, MACS aims to apply new technology to measure 9 simultaneous nerve signals (8 ganglia and the heart) to fully understand the nociceptive pathways and how are they integrated in crustaceans’ CNS. This approach will tackle the principle of triangulation by (1) The development of an electroencephalogram (EEG) to record the nervous system of commercially important crustacean species; (2) the characterization of pain and stress through physiological and molecular animal-based indicators; and (3) the evaluation of behaviour and its neurological integration pathway.  As such, this multidisciplinary study will only be possible through a combination of my crustacean stress physiology background, my supervisor’s knowledge of the central nervous system anatomy, and my second supervisor's expertise in aquatic species' EEG. The outcome of this fellowship will range from CNS studies to validate current industrial practices (during a non-academic placement), to socio-economic impacts involving the society's concern for animal welfare. The knowledge and skills gained from this project will allow me to become an independent researcher.

Multidisciplinary Assessment of Crustacean Sentience

Chemosensation is a critical signalling process for sea cucumbers which relies on the interaction between their chemosensory receptors and various ligands for foraging and reproduction. Although there is a vast amount of research on the chemistry of secreted specialized metabolites of sea cucumbers, and some behavioural data evidencing chemoreception of these metabolites, the chemosensory receptors of these organisms have not yet been identified and nothing is known about the physiology behind sea cucumber chemosensation. This setback is in large part because the scientific approach behind studying chemosensation requires a vast array of techniques and expertise in ethology, chemistry, molecular biology, and biophysics.  Firstly, a behaviour associated with a chemical cue must be quantifiable, secondly, the precise chemical cue eliciting the behaviour response must be identified and isolated, thirdly, the chemosensory receptor of this specific cue needs to be identified on a tissue, cellular, and molecular level, and finally, the activation of this specific receptor by a specific chemical cue must elicit a measurable response on a molecular, cellular, tissue, and organismal level. Through this project, I will elucidate the physiology of chemical communication between sea cucumber by considering these sequential steps in chemosensation. With my previous experience in sea cucumber ethology and chemistry, SensHolo will enrich my skill base in molecular biology and biophysics so that the mechanisms behind intraspecific chemical communication between sea cucumbers may be determined from both the emitter and receiver perspective; from signal to receptor.  This holistic approach will be ground-breaking in chemosensation and sea cucumber research. It will enable future research to address the evolution of chemosensation in marine invertebrates and the chemical ecology of sea cucumbers both in the context of optimizing aquaculture and in their ecological conservation.

Chemosensation in Holothruoids

Tørre øyne er en multifaktoriell betennelsessykdom karakterisert av en ustabil tårefilm, som oftest grunnet nedsatt kvalitet av tårefilmens ytre fettlag produsert av modifiserte talgkjertler i øyelokkene. Grunnet de mange underliggende årsakene til tørre øyne blir mange forskjellige behandlinger og behandlingskombinasjoner ofte brukt. Dette kan være både økonomisk krevende og slitsomt for pasienten. Dette prosjektet tar sikte på å strømlinjeforme, optimalisere og individualisere behandlingstilbudet til forskjellige undergrupper av tørre øyne basert på maskinlæring og prediksjonsmodeller.

Dry eye disease is a multifactorial disease characterized by inflammation, decreased tear production and/or tear film instability due to dysfunction of the lipid producing glands of the eyelids. As a result, a multimodal treatment approach is often initiated, addressing several pathological clinical signs and modifiable risk factors concomitantly. This is often time consuming, financially expensive and exhausting for the patient. Interpreting signs and symptoms of dry eye disease and making accurate predictions as to which patient will respond which treatment or combination of treatments difficult. With the current project we aim to improve clinical decision making by:
1. Through machine learning and prediction models delineate which group of patients are most likely to benefit from either IPL or cyclosporine in monotherapy, and which patients are most likely to require dual therapy.   	
2. Construct prediction model protocols to streamline and individualize IPL protocols based on prognostic factors and prediction analysis of treatment outcomes. This is especially applicable in relation to demodex eradication, as demodicosis remains fairly treatment refractory to date and is readily involved in the pathophysiology of MGD. Thus, it is of utmost interest to streamline the current treatment options and, hopefully, contribute to an expanded repertoire of efficacious eradication methods in the future. 
3. Contribute to the lack of standardized treatment regimes, recommendations and guidelines concerning IPL treatment. Evaluate the optimum number of treatments and treatment intervals as well as the need for concomitant heat mask and eyelid massage.

Clinical predictors of treatment response in dry eye disease

Doktorgradsprosjektet dreier seg om å utvikle neste generasjon autonome borerigg. Denne maskinen opererer i tunneler og gruver globalt, og brukes til å bore hull i en "drill and blast" operasjon når tunnelen eller gruven drives videre innover i fjellet.

Boreriggen har 3 armer, som alle har hvert sitt bor. Disse kan kjøres på samme tid til forskjellige borehull. Det vil bli utviklet et system som kjører bommene automatisk til de ønskede borehull uten å kollidere med hverandre. Dette vil senke tidsbruken for operasjonen. Systemet vil også estimere riggens oppstilling relativt til tunnelen. Ønskede borehull, som defineres i en boreplan, vil sees i sammenheng med riggens oppstilling, for å sikre at de faktiske hullene som bores er i henhold til plan. 

Prosjektet vil danne et godt grunnlag for at maskinen får selvkjørende egenskaper, som bidrar til økt effektivitet og en sikrere hverdag for operatørene.

Hensikten med prosjektet er å utvikle neste generasjon autonome borerigg. Maskinen vil muliggjøre en mer effektiv, sikker og miljøvennlig boreoperasjon.

Autonom borerigg

Antimikrobiell resistens (AMR) er en alvorlig trussel mot folkehelsa som er spådd å bli verre i fremtiden. En av de vanligste metodene som bakterier bruker for å kunne stå imot antibiotika, er å skaffe resistensgener. Disse sitter ofte på noen DNA-deler som heter plasmider. Plasmider som bærer resistensgener er vanligere i kliniske miljøer enn samfunnet ellers, og det å forstå hvorfor vi har denne forskjellen er svært viktig for å forstå hvordan resistente bakterier sprer seg. Men plasmider utvikler seg raskt, og kan spre seg mellom forskjellige bakteriestammer. Derfor er det vanskelig for oss å klassifisere og overvåke dem. I PEAK skal vi benytte oss av nye sekvenseringsteknologier og utvikle nye metoder for å forske på hvordan plasmider utvikler seg og sprer seg, med fokus på den viktige sykdomsfremkallende bakterien Klebsiella pneumoniae. Vi skal utvikle nye metoder for å klassifisere plasmider og analysere de genetiske forskjellene mellom plasmidgrupper. Deretter skal vi bruke disse plasmidgruppene til å forske på hvordan plasmider sprer seg mellom forskjellige miljøer og typer Klebsiella. Så skal vi utføre detaljerte analyser av de genetiske endringene som driver utviklingen av plasmider. Målet er å bruke de nye metodene og kunnskapen til å forbedre overvåkning, både av AMR Klebsiella pneumoniae og andre bakteriestammer.

Antimicrobial resistance (AMR) is a global threat to human health which is predicted to increase in the future. One of the most common ways that bacteria evolve resistance to antibiotics is by acquiring AMR genes; these are often carried on small pieces of DNA called plasmids. Understanding the mechanisms and conditions that promote AMR dissemination via plasmids is critical, but several knowledge gaps remain. AMR is unevenly distributed among environments, whilst the highest levels of AMR are typically found in clinical environments, the risk of AMR acquisition from environmental and animal settings remains less clear. Plasmids are important vectors for the transmission of AMR between environments, but plasmid evolution is complex, and lack of appropriate data and methods has to date largely precluded high-resolution study and surveillance of plasmids in most major pathogens.

In PEAK, we will use two newly generated long-read sequencing datasets to study the evolution and transmission of plasmids and AMR genes in Klebsiella. By combining the datasets, consisting of 1594 isolates from diverse one-health sources, we will establish a unique collection of hybrid assemblies, including thousands of complete plasmids. Next, we will develop novel methods to quantify the genetic structure and diversity of plasmids. By combining this information with genetic variation in the isolate chromosomes and metadata, we will then perform phylogenetic and association analyses to disentangle AMR distributions among environments. This will enable us to identify high-risk environments for AMR transmission, followed by detailed evolutionary analyses to gain insight into the tempo and mode of plasmid evolution, and how chromosomes coevolve with plasmids.

The overarching aims of PEAK are to uncover the drivers and mechanisms of the acquisition and maintenance of AMR, with the ultimate goal of enabling use of this knowledge to design interventions to combat the spread of AMR in the future.

PEAK: Plasmid Evolution and Antimicrobial resistance in Klebsiella pneumoniae

PRV VAX representerer en ny og patenterbar tilnærming for utvikling av en vaksine mot piscine ortoreovirus (PRV), et betydelig patogen i akvakultur og en pågående trussel mot dyrevelferd og industriproduktivitet. PRV er utbredt i oppdrettslaks og forårsaker hjerte- og skjelettmuskelbetennelse (HSMI), noe som utgjør en betydelig sykdomsutfordring i land med storskala produksjon av atlantisk laks (Wessel et al. 2017). Foreløpig er det ingen PRV-vaksiner på markedet. Vi vil anvende grunnleggende kunnskap og teknikker for å etablere den første vedvarende PRV-infeksjonen i cellekultur og dermed frigjøre potensialet for vaksineutvikling mot den vanligste virussykdommen hos oppdretts-atlantisk laks i Norge. En vaksine for å forhindre HSMI vil redusere sykelighet og dødelighet betydelig og forbedre lønnsomheten i atlantisk lakseakvakultur.
PRV VAX-prosjektet tilbyr en ny tilnærming til å produsere den første PRV-vaksinen, som har betydelig markedspotensial ved å bidra til økt fiskevelferd og redusert produksjonstap. Det potensielle markedet for en vaksine er stort, rettet mot atlantisk lakseakvakultur, spesielt store produserende land som Norge, Chile og Skottland, hvor PRV og tilhørende sykdom er utbredt. All oppdrettslaks blir rutinemessig vaksinert i ferskvannsfasen av produksjonen for å beskytte mot flere forskjellige patogener. En PRV-vaksinekomponent bør implementeres som en del av dette regimet. Spesielt er det ingen selskaper som for tiden tilbyr en PRV-komponent i vaksineporteføljen sin, noe som fremhever en betydelig markedsmulighet for utvikling og bruk av en slik vaksine. En vaksine rettet mot PRV tilbyr betydelig kommersielt potensial, gitt omfanget av atlantisk lakseakvakultur og virkningen av HSMI.

PRV VAX - Cultivation of piscine orthoreovirus (PRV)
Resolving a bottleneck in vaccine development for farmed Atlantic Salmon

Verifying the therapeutic potential of newly discovered siRNA drug candidates for treating acute leukemia.

Midlene fra SPACE-1.09 Space fordelt på år

Midlene fra SPACE-1.09 Space fordelt på fylker

Midlene fra SPACE-1.09 Space fordelt på fagområde

MyWave: A pan-European concerted and integrated approach to operational wave modelling and forecasting – a complement to GMES MyOcean services

EU Decarbonisation in Times of Crises: Exploring Social Innovations and Enhancing an Equitable Twin Transition

DeCrises addresses the complex challenges of the European Union (EU)'s twin transition that is reshaping society, the economy, and infrastructure at every level of governance. Through four case studies from the EU and European Economic Area, our primary goal is to pinpoint the gaps in the existing Multilevel Governance (MLG) framework guiding the twin transition and propose solutions that pave the way for an equitable transition.  While the EU committed to achieving carbon neutrality by 2050, recent global crises, such as the COVID-19 pandemic and geopolitical tensions, have added complexity to the twin transition. This underscores the importance of cross-border collaboration and coordinated strategies at various levels of governance. DeCrises focuses on five objectives: To conceptualise a bottom-up MLG framework to foster citizen participation and stimulate social innovation and collaboration for an inclusive twin transition; To develop a robust MLG implementation strategy to translate the vision of a just twin transition across all levels of governance within the EU; To develop an understanding of community-led social innovations as drivers of twin transition and their role in MLG processes; To identify strategies to enhance regional and intra-regional collaboration and resilience; To facilitate and establish channels of collaboration and knowledge exchange between a diverse set of actors and explore ways to enhance policy instruments at various levels of governance. Transitioning to a green future requires significant changes to institutions historically tied to fossil fuels and limited levels of digitalisation. We focus on a shift from top-down decision-making to a more inclusive, democratic approach involving various levels of governance, including governments, businesses, and civil society. Our project provides comprehensive policy recommendations for improvement of MLG to strengthen democratic governance in the EU and ensure a just twin transition.

The future of Arctic coastal ecosystems - Identifying transitions in fjord systems and adjacent coastal areas

The overarching objective of FACE-IT is to enable adaptive co-management of social-ecological fjord systems in the Arctic in the face of rapid cryosphere and biodiversity changes. The project will identify ways to manage the impacts of climate change on the cryosphere and marine biodiversity, and the interaction with other drivers of change. FACE-IT will contribute to IPCC assessments as well as key Sustainable Development Goals. The concept of FACE-IT rests on a comparison of selected Arctic fjord systems at different stage of cryosphere loss in Greenland, Svalbard and Finnmark, Northern Norway. The underlying two-pronged hypothesis is that the biodiversity of Arctic coastal zones is changing in accordance with the rates of cryosphere changes, and that these changes affect local communities, food production, livelihoods and other ecosystem services. FACE-IT approaches European Arctic fjords as local social-ecological systems. It gathers a strong interdisciplinary team of internationally recognised experts from both natural and social sciences. FACE-IT is organized in eight interdisciplinary work packages focusing on the drivers of change (WP1), their effects on biodiversity (WP2), ecosystem functioning (WP3), food provision and indigenous livelihoods (WP4), nature-based tourism (WP5), the co-production of knowledge to identify governance strategies for adaptive co-management (WP6), and public outreach and policy input (WP7), and project management (WP8). It includes the participation of Arctic stakeholders to ensure that Indigenous and local knowledges, perceptions and concerns about ongoing changes are taken into account in defining innovative and adaptive co-management approaches towards a more sustainable future. In this way FACE-IT will deliver significant contributions towards the implementation of the new integrated EU policy for the Arctic.

Toward Just, Ethical and Sustainable Arctic Economies, Environments and Societies

Arctic development of the past is persistent in inequitable practices, leaving scars from the impacts of social, economic and environmental inequality. In addition, Arctic development of today is occurring alongside the adverse effects of climate change within an integrated global system deficient in mechanisms for incentivising just transitions toward sustainable development.   With the goal of enhancing the governance capacity of the EU to mitigate this problem, JUSTNORTH brings together 15 partners from 7 disciplines to evaluate the viability of Arctic economic activities. The project will merge justice theories with sustainable development goals to enable EU policy coherence toward just transitions. This will be integrated with an investigation of the empirical realities of existing Arctic economic activities in 18 case studies using innovative research methodology, through conceptual, comparative, descriptive, correlation, policy, legal and interview-based analysis techniques. Though this, JUSTNORTH will offer policy, legal and regulatory pathway recommendations, by developing a frameworks from the reconciliation of the various ethics and value systems present in the Arctic, which can serve as a cornerstone for determining the viability of economic activities in the Arctic in line with the goals of sustainable development.  Ultimately, JUSTNORTH will provide both a negotiation tool for stakeholders to Arctic development (and a potential labelling standard for just/ethical regulatory standards) in its JUSTscore framework, which will create both transparency, documentation and standardisation for sustainable development across the Arctic (and the EU market).   Adhering to coproduction of knowledge with stakeholders throughout, JUSTNORTH will bring insights from indigenous, local, business, State and NGO perspectives of the social, economic and environmental complexities of the Arctic into the realm of policymaking for just sustainable development.

Resilience is defined by the United Nations as “the ability to resist, absorb and accommodate to the effects of a hazard, in a timely and efficient manner”. Thus, resilient communities are those in which their citizens, environment, businesses, and infrastructures have the capacity to withstand, adapt, and recover in a timely manner from any kind of hazards they face, either planned or unplanned. In recent years efforts have been spent to tackle resilience and there is, still, a long path forward in defining an EU valid and sound approach to the problem.   RESILOC aims at studying and implementing a holistic framework of studies, methods and software instruments that combines the physical with the less tangible aspects associated with human behaviour.  The study-oriented section of the framework will move from a thorough collection and analysis of literature and stories from the many approaches to resilience adopted all over the World. The results of the studies will lead to the definition of a set of new methods and strategies where the assessment of the resilience indicators of a community will be performed together with simulations on the “what-if” certain measures are taken. These studies and methods will serve for designing and implementing two software instruments: 1.     the RESILOC inventory, a comprehensive, live, structure for collecting, classifying and using information on cities and local communities, implemented as a Software as a Service (SaaS).  2.     The RESILOC Cloud-based platform for assessing and calculating the resilience indicators of a city or a community, for developing localised strategies and verifying their impacts on the resilience of the community. The Cloud platform, a combination of SaaS and PaaS, includes the inventory as its repository.  The project will make use of built solutions in four field trials and includes a high-profile communication plan, heavily based on Social Media platforms. 

Resilient Europe and Societies by Innovating Local Communities

ENABLING is the initiative of 16 partners in 13 EU and associated (IL, NO) countries. The main goal is to support the spreading of best practices and innovation in the provision (production, pre-processing) of biomass for the BBI (Bio-Based Industry). In particular, ENABLING aims at creating appropriate conditions for the development of efficient biomass to BBPs (Bio-Based Products and Processes) value chains. The consortium’s vision is that Europe bears a huge potential for optimising the supply of biomass into innovative bio-based processes and products. Upscaling biomass production and pre-processing, and combining streams towards the BBPs with those of more traditional bioenergy chains would enhance at least three interlinked types of impact. a) biomass production gains scale to meet higher demand in both sectors (bioenergy and the BBI); b) the reinforcement of biomass supply for the BBI benefits smaller BBI players, helping them diversify and consolidate biomass input sources; c) reinforcing the biomass and BBPs linkages may contribute to job-creation, due to the increased need for specialised workers. To realise such potential, ENABLING also anticipates its longer term exploitation pathways. In the intention of the consortium, the project should aggregate and engage partners for the establishment of a permanent innovation brokerage platform, likely to become in the future, one of the main marketplaces and innovation transfer accelerators at European level. In this sense, the project organises its work around two building blocks: one relates to animating the stakeholders (on the farming and BBPs sides), identifying best practices, turning them into easy to access content (in the EIP format) for their potential users and providing stakeholders with coaching and guidance on innovation. The other one looks at future developments, with the consolidation, in a self-sustainable way, of the innovation brokerage platforms after the end of the EU funded initiative.

Enhance New Approaches in BioBased Local Innovation Networks for Growth

SPACE-1.09 Space

MyWave: A pan-European concerted and integrated approach to operational wave modelling and forecasting – a complement to GMES MyOcean services

Tildelt: kr 2,5 mill.

Populærvitenskapelig framstilling

Sammendrag

Publikasjoner hentet fra Cristin

Effects of wave-induced forcing on a circulation model of the North Sea

Surface wave effects on water temperature in the Baltic Sea: simulations with the coupled NEMO-WAM model

Budsjettformål:

SPACE-1.09 Space

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