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Limb wounds in horses are common, however healing is exceedingly slow and fraught with complications. Contrary to body wounds, limb wounds demonstrate only a small amount of wound contraction. The specialist procedure of applying split-thickness skin grafts to limb wounds stimulates wound contraction by unknown mechanisms. The objective of this project is to identify those mechanisms to develop a treatment strategy for equine limb wounds for use in general  practice. Limb wounds are severely impacting animal welfare due to an extended healing/treatment duration, and the risk of euthanasia due to a poor functional outcome. By stimulating wound contraction, healing time will be reduced, and the functional outcome improved, directly benefitting the welfare of wounded horse and reducing treatment cost for the owner. Aim: To identify dermal components stimulating wound contraction, and to develop this knowledge into future state-of-the-art treatment of equine limb wounds for use in general practice. Hypotheses: i) Application of dermal fractions to collagen gels seeded with equine fibroblasts will increase gel contraction in vitro; ii) Application of dermal fractions to experimental limb wounds in vivo, will increase wound contraction resulting in a faster healing time versus wounds treated by conventional methods. Methods: i) The contractile effect of different dermal components will be assessed in a collagen gel/ fibroblast model; ii) Identified dermal components will be tested in a standardized experimental limb wound model in vivo (n=5). Ultimately, results from this project are expected to improve wound treatment in horses, directly impacting animal welfare by reducing healing time and improving the functional outcome of wounded horses. This will also directly benefit horse owners and caretakers and making veterinarians able to offer better treatment solutions.

HESTEFORSK - Raskere og bedre sårheling hos hest med autologe hudkomponenter

The project aims to develop a high-fidelity MVP of robotic furniture designed to optimize urban living spaces and enhance life quality. This initiative merges advanced robotics and AI with practical design to address space efficiency in densely populated areas.

Key R&D challenges include integrating robotics and AI to create adaptable furniture systems, ensuring safety through rigorous testing and third-party certifications, and applying real-world feedback to refine functionality. The project involves significant technical and regulatory hurdles in engineering consumer-friendly, safe, and responsive furniture.

Starting December 2024, a three-month pilot phase with selected Norwegian businesses will test the product's real-world application and collect operational data. Feedback from end-users will be gathered through qualitative interviews, informing iterative improvements to enhance design and functionality.

This project leverages existing scientific, technical, and business knowledge in innovative ways, aiming to develop a unique product that sets new industry standards. It is characterized as experimental development, pushing technological boundaries in furniture design.

By February 2025, feedback and pilot data will be used to finalize a market-ready product, ensuring it meets user needs for functionality and aesthetics. This initiative represents a pioneering effort to transform urban living, combining experimental development with practical application to create sustainable and adaptable living solutions.

Development of high-fidelity MVP of AI driven robotic furniture to be piloted in realistic environment with pilot clients.

From the SEA to the SOLution. An integrative assessment of marine pollution in a changing Arctic

Marine chemical pollution poses known threats to human health and to biodiversity, ecosystem and societal services. The Arctic is a major sink of global mercury (Hg) pollution. Arctic sediments, sea and glacial ice constitute vast Hg reservoirs. Recent studies raise concerns about their increasing role as local Hg sources. In a rapidly warming Arctic, the consequences of potentially increased environmental Hg on marine biota remain unknown. The objective of SEASOL is to identify the pathway(s) of Hg bioaccumulation in marine food webs of the High Arctic Kongsfjorden (Svalbard). This changing glacial fjord is recognised as a ‘natural laboratory’ of climate change in the Arctic. The fellow’s earlier research has shown the sole measurement of Hg levels as insufficient to connect biotic Hg dynamics to environmental change, whereas the analysis of Hg stable isotopes proved to be a promising tool for source discrimination and biotic transfer. SEASOL will build on the novel application of stable isotope analysis to identify the sources of Hg within the fjord system and the pathways to Hg accumulation within sentinel marine species. On the short-term, the study will provide fundamental knowledge to help understand how emerging sources of Hg from rapid environmental change will impact Arctic marine predators. On the long-term, SEASOL will contribute to the development of early-warning, adaptive management strategies, including modelling, for mitigating the cumulative impact of pollutants and climate change on Arctic marine species. This multidisciplinary approach and the central position of the host institution (Norwegian Polar Institute) in the field of Polar Research will equip the Fellow with a broad set of new skills and lay the foundation for building her specific niche as a future leader in marine pollution science.

Tenk på universet som en enorm ballong som alltid utvider seg. Jo lenger unna et punkt er på ballongen, jo raskere beveger det seg bort fra deg. Dette ligner på hvordan universet utvider seg, jo lenger unna en galakse er, jo raskere beveger den seg bort fra oss på jorden.

I mange år trodde forskerne at universets ekspansjon ble bremset. Begrunnelsen deres var at gravitasjonskraften fra all materie i universet virket mot denne utvidelsen. Imidlertid gjorde kosmologer i 1998 en overraskende oppdagelse gjennom studiet av fjerne supernovaer: utvidelsen av universet akselererer faktisk!

Dette betyr at avstanden mellom galaksene blir større og større i stadig økende hastighet. Det er som om ballongen blåses opp raskere og raskere.

Forskere vet ikke nøyaktig hva som får universet til å akselerere. De kaller den ukjente kraften som får dette til å skje "mørk energi". Mørk energi er overalt i universet, men den mørke energien vekselvirker ikke med materie i de formene som vi kan observere direkte.

NEVO-prosjektet er et nytt forsøk på å forstå egenskapene til mørk energi. NEVO vil bruke kraftige datamaskiner for å simulere universet og studere effekten av kandidater til den mørke energien på en måte som aldri har vært gjort før. Ved å studere disse simuleringene og utnytte høypresisjons-observasjonene fra Euclid-teleskopet som nylig er skutt opp i rommet, vil kosmologene være i stand til å bedre betydelig vår forståelse av den mørke energiens gåtefulle natur.

The Universe has entered an accelerating expansion phase in the last few billion years of its evolution, a phenomenon that is caused by the mysterious entity known as dark energy. Through the NEVO proposal, I aim to provide key insights about the properties of dark energy, which includes its time evolution and spatial distribution in the Universe. This objective will be achieved by utilizing cutting-edge cosmological N-body simulations and novel techniques to study cosmic EVOlution accurately.

A comprehensive understanding of the nature of dark energy requires a thorough investigation of viable candidates and their impact on different stages of the Universe. However, the consistent and accurate modeling of dark energy candidates has been largely neglected so far. To address this gap, I propose the development of a novel, integrated framework that utilizes state-of-the-art relativistic N-body simulations along with the hi_class code, to accurately model dark energy candidates in both linear and non-linear scales.

NEVO: illuminating the dark cosmos

The goal of the Bilingual Experiences, Cognitive Ageing and underlying Mechanisms (BECAME) project is to examine the functional neuroplastic mechanisms underlying mitigatory effects of bilingual experience on age-related cognitive decline. While evidence is available for structural brain changes supporting bilingualism-induced effects on cognitive aging (CA), functional mechanisms underlying such effects are not yet well understood. BECAME aims to fill this gap by investigating the trajectory of bilingualism-induced functional neuroplasticity across the adult lifespan (ages 18-85), crucially adopting an individual differences approach related to measurable degree of bilingual engagement. Importantly, although such benefits are thought to be rooted early in the lifespan, evidence for the timeframe and conditions of their early emergence is scarce. The choice of including the whole adult lifespan allows us to investigate these mechanisms and their emergence more directly from a lifespan perspective. I combine behavioral testing with brain recordings via electroencephalography (EEG). EEG is widely used in cognitive neuroscience to assess brain activity and the degree of communication between brain regions (functional connectivity) in response to stimuli and at rest. Combining behavioral and EEG modalities will allow me to test bilingualism’s effect on functional connectivity, as well as its consequences for functional efficiency, the minimum required neural activation to successfully perform a task. This will enable a detailed, evidence-based account of the protective effects observed in older-aged bilinguals, and how they are built from earlier life stages. By illuminating the relationship between multilingualism and resulting neurocognitive adaptations, BECAME will enable to capitalize on it as a health initiative, with manifold societal implications and the potential to be translated into actionable policies exploiting multilingualism to ameliorate effects of CA.

Bilingual Experiences, Cognitive Ageing and underlying Mechanisms

Reality-Connected Machine Simulation of Heavy Machinery

The RealSim project proposal aims to connect machine simulation to reality in the framework of heavy machinery, which is an interdisciplinary application. The results of this project are expected to optimize machine performance, accurately and reliably predict machine failure, and reduce overall development and operation costs, thus, serving the Europe’s priority of green transformation and the United Nation’s sustainable development goal 9. The RealSim project will close the gaps of: (1) Onboard estimations of force and pressure components of heavy machinery; (2) Estimating deformability, cylinder friction, leakage, and valve dynamics of heavy machinery using independent nonlinear Kalman filters; (3) Employing dependent nonlinear Kalman filters in state estimators of heavy machinery; (4) Tuning algorithms for the covariance matrix of plant noise in the state estimation of heavy machinery.   I will consolidate and leverage my research career and position as a leading researcher in the field through integration in Assoc. Prof. Mohammad Poursina’s group at the Department of Engineering Sciences of the University of Agder (UiA), Norway. Here, I will acquire hands-on experience of working with actual mechatronic systems and develop efficient control algorithms. I will improve my knowledge of fluid power designing, control theory, instrumentation, and develop efficient coding skills. I will also develop entrepreneurial skills. The skills, knowledge, and international network that I will develop during this fellowship will put me in an excellent position to achieve my long-term goal of becoming a professor with my own independent research group at an esteemed university in EU. This fellowship will help me to prepare a strong ERC Starting Grant application in the future. It will also cater my additional goal of setting-up a research-related start-up in the future.

Algebraic Theory of Information Quantities

Information theory is a discipline at the intersection of statistics, engineering and computer science. As the study of information quantities, such as compression or communication capacities, information content or measures of statistical dependency, it is one of the theoretical underpinnings of data science.  Computational problems in information theory are highly non-linear. The goal of this project is to transfer state-of-the-art methods of computational non-linear algebra to information theory, to study the inherent algebraic complexity of information-theoretical problems and to provide tools for solving them in practice. The algebraic point of view has proven to be fruitful in seemingly unrelated areas, as witnessed by a surge of recent work in algebraic statistics, in particular on likelihood geometry. However, maximizing the likelihood function is the same as minimizing relative entropy — a specific information quantity. Hence, this project also aims at generalizing the techniques developed in likelihood geometry.  One focus is on the practical computation of information quantities using numerical and differential algebraic geometry. Such quantities are defined via non-linear optimization problems and we aim to pinpoint the algebraic complexity of these problems in instances of general interest, such as common information measures. The final objective is finding fundamental laws and limits of data science imposed by non-linear inequalities constraining the entropic region. These inequalities provide, by duality, universal bounds for many of the optimization problems studied in information theory.

Global natur- og miljøforvaltning er en av vår tids mest sentralt og vanskellige mål. Mange av utfordringene skyldes motsetningene mellom vår fragmenterte politiske verden og økosystemer som ikke forholder seg til landegrenser eller politiske skillelinjer.
Ulike biologiske samfunn (biomer) som ligger i én stat, kan ikke løsrives fra et større økosystem. Derfor er flere «lokale» naturområder blitt del av den globale miljøforvaltningen.
Prosjektet RESOLVING skal se på politiske løsninger for en naturforvaltning som både er:
(i) lokal: som del av en stats territorium og hjem til ulike befolkningsgrupper
(ii) global: som kritiske deler av planetens økosystem
Hva betyr denne forvaltningen på flere nivåer for staters suverenitet?
Vi vet allerede mye om utfordringene nasjonalt oppdelt myndighet utgjør for effektiv forvaltning av jordens økosystemer. Vi vet derimot langt mindre om hvordan forsøkene på å styre jordens komplekse og grenseløse økosystemer faktisk kan endre selve systemet som forsinker den globale forvaltningen: statlig suverenitet.
RESOLVING vil prøve å forstå denne dynamikken ved å undersøke gruppene som faktisk utøver internasjonal naturforvaltning på vegne av eller parallelt med statene. Prosjektet vil her se nærmere på styringen av to områder som er viktige for hele verden: Amazonas-regnskogen og Guineabukta.
RESOLVING undersøker hvordan tiltak for å ta vare på disse områdene – laget på både internasjonalt, nasjonalt og lokalt nivå – fungerer sammen. Hvilke aktører får mer makt? Hvem blir inkludert i beslutningsprosessene og hvem blir utelatt?

The RESOLVING project asks: How does global governance of nature transform the exercise of sovereign power? Scientific evidence of the environment as a complex system of planetary dimensions has elevated several natural resources as objects of global governance. Primary forests and maritime biomes particularly capture global attention because of their systemic relevance for our planetary ecosystem. Still, international politics operates within a framework locating authority over nature indivisibly into territorially discrete and independent states. This project investigates the implications for sovereignty stemming from the construction of nature as a global governance object. We build on existing conceptualizations of sovereignty as a combination of de jure sovereign authority and bundles of de facto sovereign competence. In the case of nature, while permanent sovereignty over natural resources is an immutable property of state authority, a wider range of actors can be involved in defining the ways in which these resources are governed or even in governing them. RESOLVING will focus on two parcels of local nature especially entangled in global governance: the Amazon rainforest and the Gulf of Guinea. The project will investigate how networks of actors work across levels of governance to produce sovereign competence and exert sovereign power over nature in these regions. Sovereign power is the capacity to achieve de facto sovereign competence, here identified as the capacity to define and implement the rules of human–nature interaction. We look at multilevel governance from three angles: the global, the state, and the local. The comparative analysis of those networks across levels, regions, and regimes complexes will allow for identifying the mechanisms driving the rebundling of sovereign power with or away from the state, and a better understanding of the consequences of that process.

Rebundling sovereignty over local nature in global governance

Tørkeperioder kan gjøre bakken hardere og frastøte seg vann, dette fører til økt fare for flom og jorderosjon hvis det skulle komme styrtregn. Sammenfallende hendelser hvor en tørkeperiode ender i styrtregn kan derfor forårsake større skader på infrastruktur og avlinger enn enkelthendelser med kun tørke eller styrtregn. Global oppvarming har forårsaket at både tørkeperioder og styrtregn intensiveres og skjer oftere, som også kan føre til at sammenfallende hendelser med tørke etterfulgt av styrtregn også kan intensiveres og skje oftere. 
Selv om det er funnet en økning i tørkeperioder og ekstremnedbør med global oppvarming også i klimamodellene, er det også en stor spredning mellom modellene på hvor mye og i hvilke områder som opplever mer tørke og nedbør. Prosjektet vil undersøke faktiske historiske hendelser hvor tørkeperioder endte i styrtregn i værobservasjoner og værmodelldata for å finne passende indekser som kan brukes til å analysere hvordan de forekommer i klimamodellene. Modeller på finere skala gjør en bedre jobb med å modellere nedbør, prosjektet vil derfor bruke finskala høytoppløselige klimamodeller og globale klimamodeller for å se hvordan tørkeperioder avsluttet med styrtregn forekommer i disse. De modellene som gjør det godt opp mot observasjoner vil bli identifisert.  Videre vil prosjektet studere endringene i hyppighet og intensitet av sammenfallende hendelser med tørke og styrtregn med global oppvarming.
En av grunnene man vet til hvorfor det er stor usikkerhet knyttet til hvordan klimamodellene gjenskaper nedbørsmønstre er hvordan fordamping varierer over skog- og andre arealer. I prosjektet vil vi se på effekten av avskoging og økt skogbruk i globale modeller, og gjøre egne beregninger over mindre areal på finskala for å for å se hvordan fordamping blir påvirket. Resultatene av prosjektet er viktig får å unngå eller minimere skadene slike sammenfallende med tørke etterfulgt av styrtregn kan forårsake.

Global warming intensifies drought and extreme precipitation. Compound events with droughts ending in intensified precipitation - DRIP can cause large damages but are extremely understudied. This project aims to estimate the change in frequency and intensity of DRIP events with global warming due to changes in the water-cycle. We will identify actual historical compound DRIP events and find indices that are suitable to identify these events in model data. As global climate models show a large spread in precipitation for both historical and the different future climate projections, there is expected to be a spread in model projections of DRIP events as well. We will constrain this spread by identifying global climate models that do a good statistical representation of historical DRIP events and by analyzing large ensembles to evaluate the natural variability. As higher resolution modelling shows a better representation of the water cycle, the project will analyze regional downscaled global models in identified regions of interest.  We will also perform in-house regional simulations of identified global models down to convection permitting scale to study the change in DRIP events with model resolution. The project will also target a highlighted uncertainty connected to the water-cycle by exploring how evapotranspiration and the occurrence of DRIP events found in climate models respond to land use change. For this analysis we will extend the regional downscaling to include sensitivity studies which contain deforestation and forestation. Results gained from DRIP will make a large contribution to the knowledge needed on future mitigation measures due to the increase in compound events.

DRIP - DRought ending in Intensified Precipitation

Hovedmålet med kreftbehandling er å eliminere kreftceller og dette er tradisjonelt oppnådd ved kirurgi, bruk av giftige medikamenter (cellegift) og stråling. En ny og betydningsfull tilnærming til kreftbehandling kalt immunterapi, har derimot fått mye oppmerksomhet det siste tiåret; Her forsøker leger og forskere å utnytte immunsystemet vårt for å målrettet  ødelegge kreftceller. En nøkkelaktør i denne banebrytende tilnærmingen er en gruppe «drapsmenn» i immunsystemet kjent som cytotoxiske T-lymfocytter (CTL-er). Disse cellene har en bemerkelsesverdig evne til å oppdage kreftceller ved å gjenkjenne unormale molekyler på overflaten av kreftcellene - molekyler som friske celler ikke har. Når CTL-er gjenkjenner kreftcellene ødelegger de dem ved å frigjøre giftige molekyler som initierer kreftcellenes selvdestruksjon. 
 
Selv om betydelige innsats har blitt dedikert til å forstå hvordan CTL-er aktiveres og hvordan de gjenkjenner kreftceller, vet vi mindre om de påfølgende hendelsene inne i kreftcellene som fører til deres død. Fra før vet vi at CTL-er kan initiere to forskjellige typer celledød i kreft: den første, kalt apoptose, er en stille og ordnet prosess der kreftcellene krymper og brytes opp uten å varsle immunsystemet; den andre, kalt pyroptose, er en mer dramatisk prosess som involverer dannelse av åpninger i cellemembranen, noe som fører til at cellene svulmer opp og sprekker. Under denne cellebristen blir innholdet inne i cellene frigitt i omgivelsene, og dette kan fungere som 'faretegn' som kan stimulere en sterkere immunrespons mot kreftcellene. Betydningen av denne cellebristen for å forsterke anti-tumorresponsene vil bli undersøkt i dette prosjektet. 
 
Videre er vi fascinert av muligheten for å avdekke ytterligere, ennå ukjente, former for celledød indusert av CTL-er. Utforsking av disse dødsrelaterte prosessene i kreftcellene kan potensielt øke effektiviteten av immunterapi og bidra betydelig i den pågående kampen mot kreft.

The primary goal of most cancer therapies is to induce cancer cell death. Immunotherapy relies on the cytotoxic activity of lymphocytes such as natural killer cells (NKs) and cytotoxic T lymphocytes (CTLs) to achieve this. While a significant amount of research in immunotherapy focuses on the events within cytotoxic lymphocytes or at the interface between cytotoxic lymphocytes and cancer cells, less is known about the molecular mechanisms that orchestrate cancer cell death, particularly in the case of CTL-mediated death.
CTLs are known to induce two types of cell death in cancer: non-inflammatory apoptosis and proinflammatory pyroptosis. Pyroptotic cancer cells release proinflammatory signals that attract immune cells to the tumor site, thereby enhancing the anti-tumor response. Cell lysis is a common outcome of pyroptotic cell death. It is unclear whether lysis can be decoupled from pyroptosis in cancer cells and whether the proinflammatory properties of pyroptotic cancer cell death depend on lysis. Moreover, it remains unknown whether CTLs can induce other forms of cell death in cancer, apart from apoptosis and pyroptosis.
Studying the mechanisms of CTL-mediated cancer cell death is challenging because CTLs selectively target cells expressing specific antigens. However, given the critical role of CTLs in immunotherapy, it is essential to deepen our understanding of CTL-induced cancer cell death.
This project aims to develop novel methodologies to investigate the death mechanisms that are initiated by CTLs. In addition, we will identify new pathways and mediators involved in CTL-induced cancer cell death. Furthermore, we will assess the contribution of proinflammatory cell death and lysis in promoting anti-tumor responses in vivo. Overall, this research will improve our knowledge of the molecular mechanisms of CTL-mediated cancer cell death and potentially reveal novel targets to enhance the efficacy of cancer immunotherapy.

T-cell-mediated proinflammatory cell death and lysis in cancer

Midlene fra PES-INST-Prosjektetablererstøtte EU (FoU) fordelt på år

Midlene fra PES-INST-Prosjektetablererstøtte EU (FoU) fordelt på fylker

Midlene fra PES-INST-Prosjektetablererstøtte EU (FoU) fordelt på fagområde

Research leader

Automatic Oil-Spill Recognition and Geopositioning
integrated in a Marine Monitoring Network

Kva rolle spelar samfunnsoppdraget i dagens journalistikk? Vi vil undersøke dette ved å gå inn i produksjonsprosessane der nyhendeprodukta blir til. Desse prosessane skjer under påverknad av ei rekkje forhold, der dei viktigaste er av teknologisk, økonomi sk og politisk karakter. Prosjektet vil bli gjennomført som tre tett integrerte delprosjekt der vi vil studere: 1) Journalistiske arbeidsmåtar, 2) Leiing og kompetanse og 3) Etikk og yrkesideologi. Alle tilknytte forskarar er journalistlærarar ved Høgskul en i Volda og vil samarbeide gjennom bruk av felles empiri og samtidige engasjement på prosjektet.

PES-INST-Prosjektetablererstøtte EU (FoU)

Automatic Oil-Spill Recognition and Geopositioning integrated in a Marine Monitoring Network

Awarded: NOK 44,644

Funding scheme:

PES-INST-Prosjektetablererstøtte EU (FoU)

Funding Sources

Thematic Areas and Topics