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Norge har et stort antall områder med viltfare langs veier hvor det ikke er kostnadseffektivt å bygge store gjerder eller viltkryssinger. Tilstedeværelsen av dyreliv langs åpne veier kan forårsake trafikkkollisjoner med dyreliv, skape stress og skape farlige situasjoner for sikkerheten til både mennesker og dyr. Alvorlighetsgraden av situasjonen er synlig i antall kollisjoner med hjortevilt. Til tross for forsøk på ulike løsninger har disse hatt liten suksess og antall trafikkpåkjørsler med dyreliv har økt med rundt 50 % de siste 5-10 årene. WILDETECT har som mål å samle inn både eksisterende og nye data for å bygge kunnskap om hvor sannsynligheten for kollisjonsulykker er høyest, for å varsle trafikanter og redusere antall trafikkulykker med dyreliv. Prosjektet skal utforske ulike løsninger som samler inn data om antall og/eller bevegelse av viltgrupper, som: 1) statistiske data, 2) sensordata og videoobservasjoner med droner, og 3) ustrukturerte data fra trafikantene, for eksempel. sosiale medier. I tillegg vil det bli utforsket hvordan man kan bringe data sammen (datafusjon), for å bygge kunnskap om hvilken type data man skal kombinere og hvordan man kan forbedre statistiske modeller for å forutsi kollisjoner. Kunnskapen som genereres i WILDETECT skal også brukes til å teste ulike varslingssystemer, alt fra mobilapplikasjoner til skilt med variabel hastighet som aktiveres når risikoen er høy. Disse varslingssystemene vil bli evaluert av sjåfører. For å teste ulike varslingsløsninger, vil WILDETECT benytte seg av Virtual Reality (VR) og en kjøresimulator for mer effektivt å evaluere sjåførenes adferd når det varsles om risikoen. WILDETECT vil også inkludere aktører involvert i transportsystemet, inkludert de som mottar data, varsler, og trafikantene. Dette vil tillate samskapingsprosesser, hvor bidrag fra interessenter og brukere vil bli vurdert for å definere hvilken type data som kan inkluderes i en løsning.

WILDETECT explores and extends various statistical and technical solutions in investigating the integration potential of data and technology in answer to traffic collision avoidance between vehicles and animals. The project aims to develop knowledge-based outcomes for the development of a safe and smart traffic system that can detect wildlife and warn road authorities and drivers of increased collision risk. The project results will be a starting point for developing future technology systems that can be applicable to traffic planning, providing road users with real and dynamic traffic information, thus contributing to increased transport safety.

Exploring preconditions for an integrated safe and smart traffic environment system - for Wildlife collision avoidance.

Digitalisering står sentralt i norsk bærekrafts- og energiomstillingspolitikk. Forhåpninger til digitalisering handler blant annet om effektivisering og «dematerialisering». Samtidig blir løftene rundt digitalisering sjelden sett i sammenheng med ringvirkninger av digital infrastruktur, slik som energi-, materialbruk- og konsekvenser for lokalsamfunn – materielle og stedbundne aspekter av den virtuelle «skyen» vi stadig blir mer avhengige av. 

Limits to digitalization (L2D) studerer datasentre som fenomen i lys av både global bærekraft, norsk omstillingspolitikk, og ringvirkninger for norske lokalsamfunn. Ved å dokumentere dilemmaene, konflikter og usikkerhet rundt datasentre i og på tvers av disse nivåene, vil prosjektet bidra til å se digital infrastruktur ikke bare som et redskap for effektivisering, men også for tilstrekkelighet, ved å utforske ideer og former for nøysomhet i relasjon til digitalisering. 

Prosjektets forskningsspørsmål er: Hvordan kan begreper om nøysomhet brukes på digital infrastruktur, for å forstå og forbedre konsekvensene av digitalisering? Spørsmålet studeres av et forskerteam fra NTNU Samfunnsforskning, NTNU og Boston University, som i samarbeid med lokale og nasjonale aktører gjennomfører casestudier, analyserer etiske og samfunnsmessige avveininger og utfører internasjonal komparativ forskning i kombinasjon med modelleringsaktiviteter for driftsoptimalisering.

Kommunal- og distriktsdepartementet, Nasjonal kommunikasjonsmyndighet, Invest in Norway og Norsk Datasenter Industri deler kompetanse om nasjonale rammevilkår og hensyn. Kommunene Løten, Hadsel, Hamar, Skien, Vennesla og Vågå deler sine ulike erfaringer omkring datasentre sine implikasjoner for lokalsamfunn. Kunnskapsmålene er både ny og politikkrelevant forskning om næringen og dens rolle i relasjon til bærekraft, samt nye verktøy og modeller med relevans for drift og regulering i sektoren.

The energy transition tends to foreground the efficiency of energy-intensive industries over energy sufficiency. Limits to digitalization (L2D) will address this paradox by studying digital infrastructures (e.g., data centers) to explore the socio-environmental implications of digitalization. L2D will develop a conceptual framework for digital infrastructure sufficiency, thus contributing to the challenges outlined in the portfolio plan through addressing knowledge gaps around energy and material consumption and local impacts of data center establishments, seen against the beneficial prospects of digitalization through improved efficiency, de-materialization, and value-creation. Fundamentally, L2D asks whether these tensions imply a need for “limits” to digitalization, and what such limits might look like. 

L2D explores Twin Transition challenges through the lens of Norwegian data centers. We consider energy transitions’ impacts on society, climate, and nature, through the on-going attempt by Norway to become a global hub for digital infrastructure, justified by reference to digitalization’s environmental, climate, and societal benefits. Norwegian decision makers at all levels struggle to make sense of and govern the trade-offs around data center establishments. Through a novel partnership with Norwegian municipalities, national policy makers, and industry, L2D conducts local case studies, studies national governance in a cross-national comparative perspective, and helps shape the emerging frameworks around this nascent industry. The project’s unprecedented access to and collaboration with the notoriously secretive data center industry aims to hold Norwegian industry partners accountable to the highest international standards, and enable leading scientific partners to develop knowledge and tools for improved decision-making and transparency around energy and data center governance.

Limits to digitalization: Exploring the transition challenges of Norwegian data centers

De to vanligste formene for Inflammatorisk tarmsykdom (IBD), Ulcerøs colitt (UC) og Crohns sykdom (CD) er livslange, kroniske sykdommer som ofte diagnostiseres i ung alder.  En etablert hypotese er at IBD skyldes en kompleks kombinasjon av arv, mikrobiota, immunresponser og miljøfaktorer. Det er stor variasjon i symptomer, sykdomsforløp og effekten av medisiner hos IBD-pasienter. Legemidler som brukes ved IBD varierer derfor fra klassiske betennelsesdempende midler til antistoffer og små molekyler som mer målrettet påvirker deler av immunsystemet. Men, ikke alle IBD pasienter responderer på behandling, og ingen av legemidlene som brukes kan kurere IBD. I dag er målet med behandling å redusere betennelsen, gi lindring av symptomer og forhindre tilbakefall. Fordi UC og CD manifesterer seg som betennelsessykdommer, har det meste av IBD-forskningen konsentrert seg om immunceller. Epitelcellene i tarmen har sannsynligvis langt større direkte betydning for sykdomsutvikling og respons på behandling enn tidligere antatt. Fremdeles er det nesten ingen av medisinene som brukes i IBD-behandling som er direkte rettet mot funksjoner i tramepitelet. Videre vet vi ikke om legemidler som er utviklet for å påvirke immunceller har negative eller positive effekter på epitelfunksjoner. I dette prosjektet bruker vi avansert organoid-teknologi til å undersøke hvordan forskjellige medikamenter som brukes ved IBD-behandling virker på epitelceller. Organoider fra tarmbiopsier («mini-guts») er pasientens egne tarmepitelceller som videreføres i kultur over tid (kolonoider fra tykktarm og enteroider fra tynntarm). Slike 3D ex vivo modeller er nærmere faktisk sykdomsbiologi enn dyremodeller og kreftcellelinjer som har vært brukt tidligere i IBD forskning. I dette prosjektet vil vi også bruke «mini-guts» for å teste for mer effektive medikamentregimer eller screene for nye terapier i IBD-pasienters egne celler. Målet med prosjektet er å bidra til utvikling av persontilpasset IBD-behandling.

We hypothesize that intestinal epithelial cells (IECs) are significantly more central in gut inflammation than previously acknowledged and challenge the view that immune cells should be the main target for treatment for Inflammatory Bowel Diseases (IBD). Every IBD patient presents with a unique disease and treatment history, and their own hereditary and environmental backdrop. This IBD cohort heterogeneity can only be captured through combinatory analyses of clinical information and laboratory results from real-life biological material or patient-derived ex vivo models faithfully reproducing the heterogeneity. Therefore, the proposed project has a genuine translational approach focusing on systematic clinical observations in parallel with research on patient specific epithelial organoids (“mini-guts”) that can reproduce patient heterogeneity. We will perform state-of the art functional studies and evaluate approved and investigational IBD-drugs as treatment options targeting observed physical, biochemical, and immunological intestinal epithelial dysfunctions. Since research into IBD pathobiology has mainly focused on immune cell-mediated mechanisms there is very limited information about how the drugs commonly used in IBD affect epithelial functions in health and disease. The American Crohn’s & Colitis Foundation (ACCF) recently highlighted that “understanding the essential role of the intestinal epithelium in IBD is paramount, particularly since mucosa healing has become major endpoint in clinical management of patients”. The present project will directly answer important questions regarding IEC biology and meet challenges as stated by ACCF. The ambition for the project is to bring forward detailed mechanistic knowledge about the role of IECs in IBD that can facilitate precision medicine.

Intestinal epithelial cells: Central coordinators in Inflammatory Bowel Disease and targets for treatment

ForestFeed skal utvikle bærekraftige mikrobielle fôringredienser av høy kvalitet (MI; mycoprotein) i fôr til laks ved å oppsirkulere sidestrømmer fra skogbruk ved hjelp av avansert bioteknologi, og dermed bidra til en sirkulær økonomi, styrke matsikkerheten og redusere klimaendringene. Prosjektet inkluderer partnere med kompetanse langs hele verdikjeden fra skogsråstoff til de endelige fiskeproduktene. MI og MI-produktene som blir utviklet vil bli brukt i funksjonelle fôr for å styrke immunforsvaret, helse, sykdomsresistens og dermed øke velferden hos fisk. Det lokalt produserte MI vil også redusere miljøpåvirkningen fra oppdrettsnæringen, øke produktiviteten, redusere kostnader og øke forbrukernes tillit til de endelige fiskeproduktene.  Nye bioprosess teknologier vil bli utviklet for behandling av sidestrømmer fra skogbruket som bærekraftige innsatsfaktorer for produksjon av MI. De mest lovende prosessene og råstoffet vil så bli brukt til å oppskalere MI-produksjonen. Nye bioaktive produkter vil bli isolert fra MI, karakterisert og evaluert for bioaktivitet i cellekulturstudier med immunceller fra laks, der de mest lovende produktene vil bli brukt i funksjonelle fôr. Næringsverdi, vekst og helseeffekter av MI- og MI-produktene vil bli validert i forsøk med regnbueørret og atlantisk laks med bruk av moderne verktøy (tarmfysiologi, histopatologi, transkriptomikk og proteomikk). En risikoprofil for prosessen og råstoffet vil bli utviklet, og miljømessig livssyklusvurdering (E-LCA), liv sykluskostnadsvurdering (LCC) av det optimaliserte akvakultursystemet, og tekno-økonomisk analyse av prosessen vil bli utført. Samlet sett vil ForestFeed skape sterke nye, tverrfaglige forsknings- og innovasjonsgrupper fra Norge, Finland, Sverige, Tyskland og Canada for å legge til rette for en skogbasert bioøkonomi og redusere klimaendringene i Norden.

ForestFeed will develop sustainable high-quality microbial feed ingredients (MI; mycoprotein) for farmed salmonids by up-cycling forestry waste streams by advanced biotechnology, thus facilitating a circular economy, strengthening food security and mitigating climate change. The project includes partners with complementary expertise along the value chain from primary forestry by-products to the final fish products. The MI and derived products will be used in functional feeds to improve immunological function, health, disease resistance and welfare of fish. The locally produced MI will also reduce the environmental impact of the aquaculture industry, benefiting productivity, costs and consumer confidence in the final fish products. 

Novel bioprocessing technologies will be developed to exploit side streams from forest biomass processing as a sustainable feedstock to produce the MI. Most promising processes and feedstock will be used to upscale MI production. Novel bioactive products will be isolated from the MI, characterized, and evaluated for bioactivity in salmon immune cell culture studies, where the most promising products will be used in functional feeds. Nutritional value, growth performance and health effects of the MI and MI products will be validated in trials with rainbow trout and Atlantic salmon with state-of-the-art tools (gut physiology, histopathology, transcriptomics and proteomics). A risk profile of the process and feedstocks will be developed, and environmental life cycle assessment (E-LCA), life cycle costing (LCC) assessment of the optimized aquaculture system, and techno-economic analysis of the process will be performed. Overall, ForestFeed will create strong novel, interdisciplinary research and innovation groups from Norway, Finland, Sweden, Germany and Canada to facilitate a forest-based bioeconomy and mitigate climate change in the Nordic region.

Bioeconomy in the North -ForestFeed - A Nordic blue-green value chain from forest to fish filet

MOCHyS har som mål å forstå hvilken rolle og påvirkning mikroorganismer kan ha på hydrogen, som lagres i undergrunnen. MOCHyS adresserer spesifikt muligheten for å bruke eksisterende gassreservoarer som hydrogen-lager. Disse porøse reservoarene er det rikelig av på norsk kontinentalsokkel. De har en rekke kjemiske og fysiske egenskaper (spesifikt saltholdighet, temperatur, trykk) og et mangfold av mikrobielt liv. Det er et kjent faktum at mange av disse reservoarene huser forskjellige mikroorganismer og at hydrogen er en perfekt energibærer for mikrobiell metabolisme. 
MOCHyS vil jobbe med å få mer kunnskap om hvilke typer mikrober som vil være aktive aktører ved underjordisk hydrogenlagring og om alle potensielle lokasjoner vil bli påvirket av mikrobiell aktivitet. De nye resultatene vil være avgjørende for fremtidens hydrogenøkonomi og beslutningstakere for å realistisk evaluere lagringssteder, utvikle screeningskriterier og spesifikke overvåkingsverktøy. 
Å utvikle Norges energisystem i en bærekraftig retning krever en rekke innovative energisystemløsninger for å sikre tilstrekkelig og stabil energiforsyning over tid. Mange fornybare energisystemer bruker "Power-to- Gas"-teknologier, som bruker fornybar elektrisitet til å produsere hydrogen. For å ha en sikker forsyning av hydrogen gjennom hele året, er det viktig å ha fleksible, storskala energilagringsløsninger for å balansere forventede svingninger i energiproduksjon og -etterspørsel. Underjordisk lagring er foreslått som en gunstig løsning for mellom- til langtidslagring, på grunn av de store tilgjengelige volumene. 
Nøkkelspørsmålet i underjordisk hydrogenlagring vi ønsker å svare på er: Når undergrunns mikrobene er i kontakt med det injiserte hydrogenet, vil de begynne å konsumere det?

Developing Norway’s energy system in a sustainable direction requires a variety of innovative energy system solutions to secure sufficient and stable energy supply over time. Many renewable energy systems utilize “Power-to-Gas” technologies, which use renewable electricity to produce hydrogen (H2). To have a secure supply for H2 throughout the year, it is essential to have flexible, large-scale energy storage solutions to balance expected fluctuations of electricity-production and -demand. Underground/subsurface storage has been proposed as a favourable solution for mid-to long-term storage, due to the large available volumes. The proposed project addresses specifically the option of using existing gas reservoirs as H2 storage sites. These porous reservoirs are abundant on the Norwegian Continental Shelf having a variety of chemical and physical properties (specifically salinity, temperature, pressure) and a variety of microbial life. It is a known fact that many of these reservoirs harbour diverse microbial communities and that H2 is not only a perfect energy carrier for human industry but also for microbial metabolisms. The key question in underground H2 storage we want to answer is: When the subsurface microbes are in contact with the injected H2, will they start consuming it? This would entail not only H2 loss (economic loss) but also could trigger subsequent mechanisms like H2S formation and loss of hydraulic properties. Our ambition is that our findings will be the first to generate knowledge on the question as to whether and which kind of microbes will be active players during H2 underground storage and whether all potential sites will be affected by microbial related risks like H2S formation. The novel results will be essential for our and other industry stakeholders and decision makers to realistically estimate operational risks of the storage sites, develop screening criteria and specific monitoring tools.

Microbiological Opportunities and Challenges of Hydrogen Underground Storage

Over 40% av norsk strømforbruk går til oppvarming og kjøling. Samtidig genererer norsk industri rundt 20 TWh varmeenergi årlig. Noe av dette, for eksempel termisk energi fra avfallsforbrenning, blir gjenbrukt i for eksempel vannbårne fjernvarmesystemer. Imidlertid går en betydelig mengde industriell varmeenergi tapt på grunn av svingninger i etterspørselen og begrensede systemer for å samle inn, ta vare på og gjenbruke energien. Implementering av fleksible og skalerbare lagringssystemer for termisk energi kan bidra til å balansere tilbud og etterspørsel, noe som vil redusere nasjonalt strømforbruk, kostnader og utslipp knyttet til strømproduksjon.

Undergrunnen tilbyr en termisk lagringsressurs som i prinsippet er uendelig skalerbar. Imidlertid gjør høye utviklingskostnader og store usikkerheter knyttet til undergrunnsforhold det ofte utfordrende å rettferdiggjøre investeringer. Digitale optimaliserings-, overvåkings- og numeriske simuleringsverktøy har et stort potensial for å bedre forstå de relevante prosessene i undergrunnen, men for å kunne redusere usikkerheter og kostnader på industrielle problemer må disse teknologiene tilpasses og brukes på riktig måte. Hvordan dette best kan oppnås i praksis er fortsatt et åpent spørsmål, som GHOST-DigiT sikter mot å adressere.  I dette prosjektet går SINTEF sammen med fire industripartnere innen geotermi, avfallsforbrenning, fjernvarme og eiendom, med mål å redusere risiko og realisere det fulle potensialet til underjordisk termisk energilagring. Vi utvikler og tilpasser numeriske algoritmer og teknologier som gjør det mulig å skape "digitale tvillinger" av geotermiske anlegg og miljøet de utgjør en del av. Målet er å gi sanntidsforståelse, prediksjonsevner og kort- og langsiktig optimalisering av drift, for å legge grunnlaget for effektiv bruk av undergrunnen som et "varmelager" og en nøkkelkomponent i et fremtidig fleksibelt og bærekraftig energisystem.

Geological thermal energy storage is a concept where excess heat from industrial processes or other human activities is injected into the ground for later (long or short term) recovery and use, e.g. for district heating.  The green shift of the energy sector will require rapid uptake of renewable energy sources of intermittent nature, which will require massive additions of energy storage.  Considering that around half of EU energy consumption relates to heating and cooling, widespread use of geological thermal energy storage holds the potential to significantly reduce energy (including electricity) demand and balancing a future, more dynamic energy system.

While using the subsurface as a thermal battery is appealing for multiple reasons (flexibility, scalability, low environmental impact and footprint), efficient use of the subsurface can be very challenging due to a large number of uncertain factors and parameters.  In the GHOST-DigiT project, SINTEF Digital together with four industry partners within geoenergy, waste incineration, district heating and real estate, aim to de-risk and realize the full potential of underground thermal energy storage as a key component of the future energy delivery system by developing enabling technologies for digital twins, a real-time subsurface monitoring/data assimilation and simulation framework providing an in-depth and real time understanding and forward prediction capabilities of the relevant underground processes, supporting short- and long-term optimization of operations, and paving the ground for cost reductions and efficient utilization and planning of the subsurface as a thermal energy storage resource. The industry is well represented in the project, with multiple financing partners and three real heat storage sites to use as case studies for developing, data collection and testing.

Geological High-temperature Optimized Storage Technology – Digital Twin

Method for characterizing capped RNA

Den vedvarende smitteoverføringen av prioner som gir skrantesjuke (CWD) fortsetter å true overlevelsen til hjorteviltpopulasjoner i Nord-Amerika, og deres usikre zoonotiske potensiale vekker bekymring for folkehelsen.
Siden det første tilfellet av CWD hos norsk villrein og elg i 2016, er sykdommen funnet i flere norske regioner og nordiske land. Samarbeidet vårt med nøkkelpartnere i dette prosjektet har ledet til identifiseringen av flere CWD-stammer hos norsk rein, elg og hjort. Av spesiell betydning er disse stammene ikke relatert til de som for tiden finnes i Nord-Amerika. Disse funnene har klare implikasjoner for den fremtidige forvaltningen av disse europeiske skrantesjuke prioner hos hjortedyr.
Med konsortiets brede og komplementære kompetanse og ekspertise, vil dette ambisiøse prosjektet kombinere dyreforsøk i reinsdyr- og gnageremodeller, i tillegg til in vitro-eksperimenter med de nyeste og sensitive teknologiene (RT-QuIC, PMCA) og en potensiell feltanvendbar test, Minnesota-QuiC-testen (MN-QuiC).
Potensialet til CWD-stammer for spredning blant hjortevilt og for å infisere nye dyrearter, inkludert mennesker, avhenger i hovedsak av to hovedfaktorer: nivået av EKSPONERING for CWD-smitte og mottageligheten til de EKSPONERTE ARTENE for de forskjellige CWD-stammene. EmergingCWD tar sikte på å adressere begge sider av dette problemet. Det vil gi en ny forståelse av hvordan de fremvoksende CWD-prionene identifisert i Norge kan spre seg både innenfor og mellom vertsarter.
Siden prioner er forskjellige fra de fleste kjente smittestoffer som virus og bakterier, er kunnskapsmangelen om smitteevne og overføringsmekanismer fortsatt stor. Gitt de mulige dramatiske konsekvensene av prionrelatert sykdom, vil dette prosjektet representere et avgjørende innspill for å tette dette kunnskapsgapet av relevans for både Norge og det internasjonale vitenskapsmiljøet.

The inexorable contagious transmission of chronic wasting disease (CWD) prions continues to threaten the survival of cervid populations in North America, and their uncertain zoonotic potential raises concerns for public health. 
Since the first case of CWD in Norwegian reindeer and moose in 2016, the disease is found in several Norwegian regions and Nordic countries. Our recent collaborations with key partners in this proposal have identified multiple CWD strains in Norwegian reindeer, moose and red deer. Of particular importance, these strains are unrelated to those currently sustaining the North American epidemic. These findings have clear implications for the future management of these emerging European prions. 
With the strong and complementary skills and expertise of the consortium and the unprecedented resources it represents, this ambitious project will combine live animal experiments in reindeer and mice models, in addition to in vitro experiments with the most recent and sensitive technologies (RT-QuIC, PMCA) and a potential field-deployable test,  the Minnesota-QuiC test (MN-QuiC).
The potential of CWD strains for spreading among cervids and for infecting new animal species, including humans, essentially depends on two main factors: the level of EXPOSURE to CWD infectivity and the intrinsic SUSCEPTIBILITY of the EXPOSED SPECIES to the different CWD strains. EmergingCWD aims at addressing both sides of this issue. It will provide a new understanding of how the emerging CWD prions identified in Norway can spread both within and between host species. 
Being different from most known infectious agents like viruses and bacteria, knowledge about prions, their infectiousness, and their transmission mechanisms continues to lag behind. Given the possible dramatic consequences of prion-related disease, this project will represent a decisive input to close this knowledge gap of relevance to both Norway and the international scientific community.

Chronic wasting disease  prions from Norwegian cervids: Assessing the pathogenesis, shedding, spillover and zoonotic potential

Geostyring, dvs. evnen til å finjustere brønnposisjonering i sanntid, øker brønnverdien og reduserer risiko. Geostyring er avgjørende for petroleumsbrønner, og aktuelt for andre operasjoner som geotermiske prosjekter, horisontalboring av brønner og tunneler, samt CO2-lagringsbrønner. Nåværende geostyringsbeslutninger bygger på rask manuell tolkning av sanntidsdata med hensyn til modeller, geologi og tilknyttet usikkerhet. Men, ifølge Rassenfoss (2022, SPE JPT) har personen ansvarlig for geostyring svært begrenset tid til å tolke innkommende data, langt mindre å vurdere usikkerheten.
 
Avanserte ensemble-metoder er kjernen i lukket-løkke reservoarstyring (EnCLRM), den nye standarden for automatisk optimalisering av petroleumsfelt under usikkerheten. EnCLRM er dessverre ikke rask nok for geostyring i sanntidsoperasjoner pga. kompleksiteten i geomodellering. Dette kan løses med nye generativt nettverks (GN) geomodeller som "lærer geologi" før boreoperasjon og har ytelse på under ett sekund. GN-geomodellene vil muliggjøre sanntids data-assimilering og gi støtte til beslutninger. DISTINGUISH vil utvikle disse teknologiene i en geostyringsarbeidsflyt. Prosjektet introduserer ny tankegang ved å erstatte "deteksjonsdybde" med "prediksjonsavstand" og sannsynlighetsbetinget beslutningsstøtte.
 
Vi planlegger tidlig testing med data fra operasjonelle felt. Vi vil inkludere fremtidige teknologibrukere for å akselerere adopsjon av arbeidsflyten. DISTINGUISH håndterer utfordringer knyttet til brønnplassering som påpekt i "Olje og gass for det 21. århundre" maskinlæringsrapporten. Ifølge rapporten vil bedre brønnplassering føre til oppdagelser på den norske kontinentalsokkelen, gi økt netto nåverdi fra boring og betydelig redusere CO2-utslipp.

The ability to fine-tune well positioning in real-time through geosteering increases the potential value of wells and minimizes risks. Geosteering is essential for petroleum and penetrates other types of drilling, including geothermal projects, civil wells and tunnels, and soon CO2 storage wells. Currently, geosteering decisions rely on fast-paced manual interpretation of real-time data, which needs to consider pre-job modeling, geological setting, and embedded uncertainties. “Given the pace of drilling, the person in charge of geosteering is hard-pressed just to interpret the incoming data, much less contemplating the uncertainty in it” (Rassenfoss, 2022, SPE JPT). Following the newest trends in the industry geosteering workflow of the future shall capture and update uncertainty in an ensemble of geomodels.

The most advanced ensemble methods are the core of closed-loop reservoir management (EnCLRM), the new standard for optimizing the development of petroleum fields. However, EnCLRM is not fast enough for real-time operations due to the involved geomodelling complexity. We plan to remove this complexity by creating new Generative-Network (GN) geomodels. GN-geomodels “learn geology” before the operation and have sub-second performance. They unlock next-generation data assimilation and new predictive decision-support AI. DISTINGUISH will develop these technologies and combine them into the “geosteering workflow of the future.” It proposes a new way of thinking substituting “depth of detection” with “distance of prediction” and probabilistic decision support. 

We plan early testing on field data and with future technology users to accelerate adoption. DISTINGUISH addresses research challenges related to well placement from an Oil-&-Gas-21 machine-learning report. According to the report, better well placement may lead to additional discoveries on the Norwegian Continental Shelf, an increased net present value from drilling, and significant CO2 emission reductions.

DISTINGUISH: Decision support using neural networks to predict geological uncertainties when geosteering

GoFec - Rapid detection of E.coli

Midlene fra FORNY20-FORNY2020 fordelt på år

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Midlene fra FORNY20-FORNY2020 fordelt på fagområde

KVAL: TwinFish simulation: Training multipurpose robots to handle seafood

TRANSPATH is a multisectorial Network designed to facilitate the exchange of knowledge and technology between 7 leading European research teams and 3 SME partners and 2 associate SME Partners involved in basic and applied research into transglutaminase (TG) related human diseases. Its ambitions are to accelerate the development of new strategies for the treatment and diagnosis of human diseases related to transglutaminases, including metastatic cancer, neurodegeneration and celiac disease. The subject is highly relevant as deregulation of tissue transglutaminase activity is observed in a number of human diseases while the exact mechanisms are still largely unknown. The project targets this unmet clinical need.

Transglutaminase in disease: a novel therapeutic target?

SEWPROF aims to develop inter-disciplinary and cross-sectoral research capability for the next generation of scientists
working in the newly-emerging field of sewage epidemiology. It will provide an integrated approach towards public health
monitoring at a community level based on innovative sewage epidemiology techniques. The approach will deliver real-time
profiling of community-wide health and lifestyle through the analysis of human biomarkers in sewage using a wide-range of
methods including hyphenated mass spectrometry techniques, bioanalytical techniques and real-time sensing. The innovative
research strategy of obtaining epidemiological information from sewage has been pioneered by members of the SEWPROF
team, and, although still in its infancy, is currently used to determine illicit drug use trends at community level via the analysis
of urinary biomarkers in sewage. SEWPROF aims to advance knowledge of the epidemiology of (illicit) drug use and to
bridge gaps in the available expertise with the ultimate goal of applying this cutting edge interdisciplinary approach within
epidemiological studies of societal health. This conceptually simple but methodologically sophisticated epidemiological
approach could become an early warning system for outbreaks of disease and a unique tool for the identification of hot-spots
for pandemics. This will be achieved through bringing together leaders in the field across Europe in academia, research
institutes and the private sector and utilising their expertise and commitment in training a highly employable cohort of
researchers who will acquire advanced knowledge in the field through an interdisciplinary and cross-sectoral training
programme delivered by world class research-led organisations and industrial partners.

A New paradigm in drug use and human Health risk assessment: Sewage profiling at the community level

TRANSPATH is a multisectorial Network designed to facilitate the Exchange of knowledge and techology between 7 leading European Research teams and 3 SME partners and 2 associate SME partners involved in basic and appleid Research into transglutamincase (TG) related human diseases. ITs ambitions are to accelreate the Development of New strategies for the treatment and diagnosis of human diseases related to transglutaminases, including metastatic cancer, neurodegeneration and celiac disease. The subject is highly relevant as deregulation of tissue transglutaminase. Activity is observed in a number of human diseases while the exact mechanisms are still largely unknown. The projectarget this unmet clinical need.

Wildarbidopsis

Søknad om toppfinansiering av Marie Cruie-forsker for å kompensere differansen mellom Marie curie-ordningens Livingallowence og norsk tarifflønn. Moren er ansatt for perioden 01.10.2015-31.09.2016

Toppfinansiering av Marie Cruie-forsker Jens Karstens

With the increasing demand for cloud computing services and rapid
development and advances in data center techniques,
cloud computing is moving from small data centers towards a large scale,
highly efficient new computing infrastructure with
low cost. The proposed CleanSky network is intended to provide a
stimulating and structured platform for the training of
young researchers, for the development of innovative ideas and key
concepts in the strategic emerging area of cloud
computing: data center evolution, consolidation and service migration
associated with the eco-system of cloud computing.
The centric objective of CleanSky is to embed a pool of postgraduates and
young researchers in a multidisciplinary,
international and intersectoral environment of research activities aiming at
developing innovative methodologies and
approaches (1) to satisfy application requirements and ensure efficiency
within the emerging cloud computing paradigm, and
(2) to optimize the energy and provisioning costs of individual data centers,
(3) to consolidate, when necessary, multiple
data centers through service migration and cloud resource pooling, and (4) to
exploit renewable energy sources in cloud
data centers.
The development of this multidisciplinary training programme, reaching
beyond any existing postgraduate programme in the
field of cloud computing systems, brings together the academic competence
and industrial know-how in multiple disciplines
(computer systems, communications, scientific computing, performance
engineering, optimization theory and technological
economics) that are needed to address the technical and scientific
foundation behind the evolution of cloud computing ecosystem.
By establishing structured training for young researchers, the CleanSky is
intended to not only shape high-level academic researchers, but also educate next generation experts and
innovators with industry mindset for the European Industry.

CleanSky: Scalable, Green and High-Quality Cloud Computing

The projects overall S&T objectives is to formulate, implement, and validate a set of novel time dependent material (creep) models for clay, peat, sand, and frozen soil, which allow for enhanced creep predictions. As model formulation prerequisites experimental quantification of creep behaviour in the respective materials, the latter is an overall S&T objective as well.

The project is implemented via secondments and recruitment of 156 researcher months in total (114 months of secondment and 42 months of recruitment).

So far NGI has received three researchers from China (for 22 months together), two researchers from Chalmers for 12 months togehter, sent two researchers on secondments to Chalmers in Sweden and NTNU in Trondheim (for 6 months together), and starting form 1 September NGI will send one researcher to Chalmers for 3 months secondment.

FP7-People-2011 IAPP Creep of Geomaterials Grant agreement: 286397. Secondments from NGI

With the increasing demand for cloud computing services and rapid development and advances in data center techniques,
cloud computing is moving from small data centers towards a large scale, highly efficient new computing infrastructure with
low cost. The proposed CleanSky network is intended to provide a stimulating and structured platform for the training of
young researchers, for the development of innovative ideas and key concepts in the strategic emerging area of cloud
computing: data center evolution, consolidation and service migration associated with the eco-system of cloud computing.
The centric objective of CleanSky is to embed a pool of postgraduates and young researchers in a multidisciplinary,
international and intersectoral environment of research activities aiming at developing innovative methodologies and
approaches (1) to satisfy application requirements and ensure efficiency within the emerging cloud computing paradigm, and
(2) to optimize the energy and provisioning costs of individual data centers, (3) to consolidate, when necessary, multiple
data centers through service migration and cloud resource pooling, and (4) to exploit renewable energy sources in cloud
data centers.
The development of this multidisciplinary training programme, reaching beyond any existing postgraduate programme in the
field of cloud computing systems, brings together the academic competence and industrial know-how in multiple disciplines
(computer systems, communications, scientific computing, performance engineering, optimization theory and technological
economics) that are needed to address the technical and scientific foundation behind the evolution of cloud computing ecosystem.
By establishing structured training for young researchers, the CleanSky is intended to not only shape high-level
academic researchers, but also educate next generation experts and innovators with industry mindset for the European Industry.

The overall scientific aim of NEPTUNE is to solve an array of important questions in the evolution,
development, neurobiology and ecology of marine animal species. We shall achieve this by
adapting the powerful methods of genetic analysis and imaging currently restricted to lab model
organisms for use in a diverse array of marine invertebrates.
Our initial training network will provide a new generation of students with the range of multidisciplinary
skills needed to take these disciplines forward into the post-genomic era It is central to
our vision that such training must combine the strengths of modern technologies with a real
understanding of more traditional approaches, and, with this aim in mind, our network combines
laboratories working in disciplines as diverse as developmental biology, ensory physiology,
palaeontology and computational genomics.
Our network will provide training in a broad range of new enabling technologies available in
(and pioneered by) the participating laboratories. We will give instruction in new molecular genetic
techniques such as gene knockout by zinc finger nucleases and morpholino- and siRNA mediated
gene knockdown; various transgenesis techniques, wholemount hybridization protocols in a
multitude of organisms, and the newly developed Profiling by Image Registration (PrImR) protocol
for the molecular characterization of cell types; novel approaches for single cell transcriptomics;
behavioural experiments on marine larvae in specifically designed experimental setups and
conditions; 3 and 4D microscopy and advanced imaging techniques; and finally, we will teach the
current state-of-the-art in high-throughput transcriptome and genome sequencing and associated
bioinformatics (assembly algorithms and molecular phylogeny).

FP7-PEOPLE-2012-ITN Neptune-GAN 317172

The objective of PEMDEEV is to investigate endomesoderm development in the priapulid species Priapulus
caudatus in unprecedented detail. I will generate a thorough fate map during cleavage in P. caudatus, which will
allow me to identify single blastomeres and trace forward their lineage into the final body plan of the embryo. With
this, I will understand how the endomesoderm is formed and how it is related to the primary embryonic axis. I will
achieve this objective by using 3D-time lapse microscopy (4D-microscopy) and cell tracking of single blastomeres
by microinjection of fluorescent dyes. Next, I will focus on the molecular specification and differentiation
of the cells giving rise to the endomesoderm in P. caudatus. I will identify evolutionary conserved genes involved
in endomesoderm development using preliminary data of the ongoing genome-sequencing project. I will then apply
recently established molecular methods by the host research group, such as antibody labeling, wholemount
in situ hybridization in embryos and drug treatments, to characterize the expression and function
of these genes during priapulid development. I will also set up novel experimental techniques, such as morpholino
and siRNA microinjection, to generate loss/gain of function embryos, which will unequivocally determine the role
of each particular gene in development.
The results derived from PEMDEEV will shed light into the emergence of the ecdysozoan body plan and the
diversification of the endomesoderm in metazoans. The implementation of PEMDEEV will result in the
characterization of the fate map of P. caudatus and the cellular mechanisms that form the endomesoderm in this
conservatively evolving ecdysozoan. These outcomes will help to reconstruct the evolution of early developmental
modes and cell types in ecdysozoans and bilaterians. The proposed project will also define the role of
developmental pathways and gene regulatory.

FP7-PEOPLE-2012-IEF PEMDEEV-GAN 329024

The project is coordinated by Deutsches Institut für Wirtschaftsforschung (DIW) and has 7 additional beneficiaries. In addition, there are 8 associated partners, including private sector actors, ensuring the fellows have a broad range of experiences and resources at their disposal.

The project period was from 1st January 2011 through 31st December 2014. Commission grant reference number: 263905.

Although it has received some increased attention in recent years, the economic analysis of conflict is an under-researched topic, and by investing in this training-through-research area, Europe will be preparing a group of young individuals to assume positions of responsibility in the future, whether in academia, in the private sector, or with international organizations.

In order to achieve its overall objective, TAMNEAC has 4 specific operational goals;

1) Training: develop fellows into professionals and researchers versed in rigorous methodologies and in the transmission of research-based knowledge into effective policies and policy advice

2) Mobility: facilitate skill-building secondments that will ensure the internationality of fellows' experiences, including mobility to conflict-affected countries and to policy partners within international governmental, and nongovernmental organizations

3) Research: invest in future European capacities needed in economic analysis of conflict and simultaneously close gaps in knowledge that persist

4) Sustainability: create a lasting network of professionals and researchers that interact on topics surrounding the solution of conflict long beyond the end of the network's funding period.

The PRIO fellow is Mr. Primus Chi, citizen of Cameroon, implementing his doctoral study during the period for which IS-TOPP support is sought: 01.09.11-31.08.14.

The title of Chi's dissertation is "Maternal and reproductive health and armed conflicts in sub-Saharan Africa: A disaggregated study approach". Submission is expected during spring 201

Training and Mobility Network for the Economic Analysis of Conflict (TAMNEAC)

The projects overall S&T objectives is to formulate, implement, and validate a set of novel time dependent material (creep) models for clay, peat, sand, and frozen soil, which allow for enhanced creep predictions. As model formulation prerequisites experimental quantification of creep behaviour in the respective materials, the latter is an overall S&T objective as well. 

The project is implemented via secondments and recruitment of 156 researcher months in total (114 months of secondment and 42 months of recruitment). 

So far NGI has received three researchers from China (for 22 months together), sent two researchers on secondments to Chalmers in Sweden and NTNU in Trondheim (for 6 months together), and resently received one researcher from Chalmers for a 6 months secondment.

FP7-People-2011 IAPP Creep of Geomaterials
Grant agreement: 286397. Secondments from NGI

At the last glacial maximum (LGM), the Barents Sea-Svalbard region was covered by a marine-based ice sheet (the Svalbard-Barents Sea Ice Sheet; SBIS) that extended from Svalbard in the northwest to Scandinavia in the south, and to the Novaya Zemlya in the east (Svendsen et al., 2004). This ice sheet was partitioned into large, fast flowing ice streams and slower moving ice in the inter-ice stream areas (Andreassen and Winsborrow, 2009). However, the northern and eastern margin of this ice sheet offshore of Svalbard has seen relatively little investigation to date and as a result its history is poorly known. The aim of this project is to reconstruct the former extent, dynamics and chronology of the SBIS in this region and in particular to determine its influence on the morphology and sedimentary architecture along the poorly known northern and eastern Svalbard margins using data from various sources which includes: (1) high-resolution swath bathymetric data to map the spatial distribution of submarine landforms; (2) sub-bottom and seismic profiling to determine sediment thickness and stratigraphy; and (3) sediment cores which will be analyzed for a variety of sedimentological, micropaleontological and geotechnical properties.

EU Marie Curie ITN GLANAM UNIS Top-financing

Slow time-dependent movements caused by creep of natural geomaterials affect the performance of infrastructure and cause high maintenance and repair costs, and the partial closures of infrastructure networks during the repair work have significant economic and social impact. Although the phenomenon of creep is well-known for being a major design issue, there is currently no accepted consensus on the best way to model creep. Reliable calculation tools are either missing or - due to their scientific nature - out of reach for the engineer in charge. If as a consequence creep is underestimated in design, structures will possibly be damaged so that they will not reach their design life. On the other hand, if creep is overestimated, unnecessary countermeasures such as soil improvement, deep foundations, or additional structural reinforcement will take up additional resources. For sustainable building processes it is therefore imperative to adequately incorporate creep behaviour in analyses and design. 
	The research topic of this Marie Curie action is creep behaviour of geomaterials and its incorporation in geotechnical design; the project aims at establishing a consensus in creep modelling. The project shall supply tools and knowledge needed in creep analysis. Past research in the field of creep behaviour of soils has concentrated mainly on soft silts and clays. Different theoretical frameworks and numerical models were proposed. Yet, creep is likewise observed in geomaterials such as peat, sand, and warm permafrost. Key questions formulated by industry and academia are therefore: Can existing creep concepts be adopted equally for those materials? Can different creep concepts be unified? Of the alternatives proposed, which work best at both element level and real geotechnical problem level? This project intends to answer these questions by combining the practical experience gathered by industry with the theoretical concepts worked out by academia.

IS-TOPP Secondment/Recruitment Marie Curie -IAPP - CREEP

Wood-decay fungi are essential for the functioning of forest ecosystems: they drive wood decomposition and soil formation in forests. They provide habitat for many other organisms and enable the regeneration of forests throughout the world. But many wooddecay
fungi are threatened by forest management, and up to 42% of the species are in national Red Lists. Their occurrence in fragmented forest landscape is limited by ecological, evolution and dispersal traits. In order to address mechanisms responsible for fungal dispersal, this study will focus on determining which species, population and environmental characteristics correlate with dispersal inferred from population genotype patterns throughout a community of fungi. For several ecological and biological reasons, polypore fungi will be studied. To start, a sampling scheme will be design and twelve polypores species will be sampled on each of the six European locations in Norway, Sweden, Finland, Estonia, Northwestern Russia and Ukraine. Four trait categories related to dispersal capacity and survival will be studied: (i) traits that are directly relevant to dispersal, (ii) traits related to spore production, (iii) life history traits and (iv) traits linked to environmental conditions that may impact dispersal and survival. In addition, a new high throughput sequencing technology, Restriction site Associated DNA,
will be optimised to investigate genetic diversity in polypore communities. Finally, different hypotheses will be tested in order to determine which traits correlate with genetic diversity within populations and genetic distance among populations. This current
project is the first to integrate community, population and genotype-level information which will help to gain a clear picture of fungal dispersal and how it influences biodiversity. Better understanding of the mechanisms will enhance the ability to manage and conserve the biodiversity and functions of fungal communities in forest world-wide.

Maurice: FunDis Trait: Fungal conservation genetics: species traits and dispersal

Søknad om toppfinansiering av Marie Cruie-forsker for å kompensere differansen mellom Marie curie-ordningens Livingallowence og norsk tarifflønn. Moren er ansatt for perioden 12.08.2013-11.08.2016

Toppfinansiering av Marie Cruie-forsker Bjørn Moren

Søknad om toppfinansiering av Marie Cruie-forsker for å kompensere differansen mellom Marie curie-ordningens Livingallowence og norsk tarifflønn. Bellwald er ansatt i perioden  12.8.2013-11.08.2016.

Toppfinansiering av Marie Curie forsker Benjamin Bellwald

A major challenge for the next generation of researchers in biology will be to integrate knowledge of developmental biology, bioinformatics, functional genomics and evolutionary biology. This requires a new combination of interdisciplinary training to bri dge the gap between what are currently quite separate disciplines. The EVONET Initial training network (www.itn-evonet.com) brought together 8 leading European groups to apply systems biology approaches to the understanding of the evolution of gene regula tory networks (GRNs). We sought to integrate information on GRNs from diverse animal systems, representing all major animal lineages, with particular emphases on the mesoderm specification network and the head regionalization network. To this end, this ne twork provided early researchers with the skills necessary to apply state of the art systems biology, genomics and bioinformatics tools to emerging model organisms. To reach this goal, we organized two major complementary courses, one focusing on the tech nology of Chromatin-Immunoprecipation followed by high throughput sequencing (ChIP-seq) and the subsequent bioinformatic analysis (at the EMBL/Heidelberg), and one focusing on the knowledge of and the molecular approach to diverse marine organisms (in a m arine station in Sweden). Yearly graduate schools at all locations of the EVONET partners as well as site-visits at innovative SMEs provided a platform for interaction and soft-skill training for the fellows.

Summary of the project objectives:
Objective  1: Relating the spatiotemporal expression of the TFs in one species, and between species.
Objective 2: Expression profiling of embryos after knock-down of one transcription factor.
Objective 3: Identification of TF binding sites by genome-wide ChIP-on-chi p and ChIP-seq.
Objective 4: Identification and comparison of regulatory regions and regulatory modules.
Objective 5: Validation of detected regulatory elements by transgenesis.

FP7-PEOPLE-2008-PITN - Marie Curie Training and Career Development - GA 215781.
Toppfinansiering av PhD ved Sars internasjonale senter

The origin of simple nervous systems marks a key moment in animal evolution. To identify the genetic processes that
underpinned this event, we need to study how neurogenesis occurs in early branching animal groups with simple
non-centralised nervous syste ms. The Cnidaria (corals, sea anemones, jellyfish) are a particularly informative group for such investigations; however studies of cnidarian neural development have been hampered by a lack of appropriate tools for analysing gene function and visualising  neurogenesis in these animals. The recent development of experimental assays and
transgenic lineages in the cnidarian sea anemone Nematostella vectensis has addressed this problem and we are now able
to examine neural development in this ancient phylum in  exceptional detail.

ANTSAN proposes to employ these advanced tools to identify and functionally characterise genes that underpin the critical
process of establishing neural connectivity (e.g. axon guidance and synaptogenesis) in this species. To achieve  this objective, N. vectensis neural cells will be isolated by performing fluorescence activated cell sorting on transgenic animals in
which the nervous system is fluorescently labelled. The global gene expression in this cell population will then be docu mented
via microarray analysis. This inventory of neural expressed genes will inform candidate gene selection for the functional
studies of neural connectivity, and will also be compared to published datasets from other animals to identify genes with
comm on roles in neural development across the animal kingdom.

The research outcomes of ANTSAN will make a novel and significant contribution to our understanding of the essential
factors involved in nervous system development, and of the earliest steps in ne rvous system evolution. ANTSAN may also
contribute to studies of human neurological disorders, by identifying conserved genes with neural functions that have not yet been studied in biomedically relevant species.

FP7-PEOPLE-2010-IIF - Marie Curie Actions
Toppfinansiering av postdoc ved Sars internasjonale senter

The most prevalent chronic inflammatory diseases of humans are complex disorders influenced by genes, environment and their interactions. Periodontitis (PD) and rheumatoid arthritis (RA) are two such chronic inflammatory diseases associated with significant morbidity and mortality, and have recently shown to have a bi-directional association. RA and PD share common risk factors and pathogenic mechanisms. Moreover, the prevalence of both increases substantially with age, and given both the Europe-wide ageing population and the impact of both diseases upon the economy, health and quality of life, it is clear that novel and more cost effective approaches to management are urgently required. Radical improvements are necessary in: i) understanding the pathological processes that trigger disease initiation and progression, ii) the generation of novel diagnostic and treatment strategies and iii) developing new researchers able to advance the field. A key research goal of this project is to improve understanding of the pathogenesis of RA and PD and their inter-relationships, through the study of common risk factors linked to the activation of host and bacterial derived protein citrullination, which subsequently generates pro- inflammatory auto-antigens in the joints and periodontal tissues. RAPID aims to provide a significant contribution to this by establishing a first class, dynamic training programme for early career researchers who will be able to advance both fields by working across sectors and disciplines. RAPID?s objectives include attracting the best European early career researchers into this area by providing carefully designed and integrated research projects and structured training delivered by the highest-quality European scientists.

Rheumatiod Arthritis and Periodontal Inflammatory Disease (RAPID)

Abstract:

TEMPO addresses the needs of European companies and society for embedded control technology, through training on cutting edge research in the rapidly emerging inter-disciplinary field of embedded predictive control and optimization. The key obj ectives are:
-	to expand the scientific and technical knowledge platform for Embedded Predictive Control and Optimization in Europe;
-	to exploit this platform to train a new generation of world class researchers and professionals that are highly attracti ve for employment by the European industry;
-	to establish structures for long-term cooperation and strengthen the relations among the leading universities and industry in Europe in this field, to continuously develop the research training platform that E uropean industry relies on.

To achieve the objectives listed above, the main tasks of TEMPO are:
-	to attract and train 14 Early Stage Researchers in embedded MPC and optimization via a joint academic/industrial program of cutting edge training-by-resear ch, high quality supervision, complementary and transferable skills training, inter-network secondments, and workshops;
-	to create a closely connected group of leading European scientists that are highly sought after by European industry, and ready to pu sh forward embedded MPC and optimization into new innovative products, industries and services;
-	to build a solid foundation for long-term European excellence in this field by disseminating the research and training outcomes and best practice of TEMPO in to the doctoral schools of the partners, and by fostering long-term partnerships and collaboration mechanisms that will outlast the ITN;
-	to disseminate the know-how of the participants to each other and to external groups via networking activities, inte rsectoral exposure, secondments, workshops, demonstrations, sharing of learning material, public engagement and outreach activities, and open source public domain software outcomes.

FORNY20-FORNY2020

KVAL: TwinFish simulation: Training multipurpose robots to handle seafood

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