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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

I will carry out this fellowship at the University of Oslo, under the supervision of Professor Kenneth Karlsen at the Department of Mathematics.  The project is devoted to study existence and blow-up properties of the solutions of initial value problems (IVPs) for nonlocal nonlinear integrable PDEs. Nonlocal integrable equations were introduced by M. Ablowitz and Z. Musslimani in 2013 and have become a hot topic in the theory of integrable systems. By applying inverse scattering transform (IST) method it was shown that soliton solutions of nonlocal equations blow-up in isolated points in x,t plane. Therefore the natural question is to study the existence and blow-up properties of the general IVPs for such equations. To this end we will use the mixture of the IST method and PDE techniques. The former will be used for predicting the presence and the form of the blow-up of the solution, while the PDE approaches will be used for describing the blow-up of the solution of the general IVP and for finding a suitable concept of a weak solution, which exists even after the collapse.  Also by the IST method it was shown that apart from zeros, which correspond to solitons, the associated to the initial data spectral functions have the new type of singularities. These singularities correspond to the winding of the argument of the spectral function and play a significant role in long-time asymptotic behavior of the solutions ? they are responsible for a transition between qualitatively different asymptotic zones in x,t plane. It is a challenging open problem to describe analytically the nonlinear effects corresponding to these new singularities and in the framework of the project we are going to investigate this phenomena numerically.  The fellowship will allow me to expand my skills in PDE methods, which is different, but related to my present expertise field. Also it will enable me to become an established interdisciplinary researcher, who could pursue top academic positions.

Nonlocal integrable equations: blow-up phenomena and beyond

Renewable energy on the high seas – science-informed and indigenous knowledge-based recommendations for regulatory and governance challenges

The high seas are those marine areas under no State's jurisdiction. So far, all marine renewable energy (RE) activity is being conducted under State's jurisdiction. However, recent advances in technology are raising the prospect of carrying out RE activity on the high seas. Currently, only seabed mining activities in the Area have been regulated. The Area is the seabed and ocean floor beyond the limits of State's jurisdiction. From the legal viewpoint, the main gap is a lack of an international regulatory framework, informed by participatory mechanisms and supported by scientific evidence, for RE activities on the high seas, especially regarding their environmental and social impacts.  The primary project objective (O) is to provide the scientific community and policymakers with science-informed and indigenous knowledge-based recommendations in support of the development of  RE regulation on the high seas.  Two specific Os are set to complement the primary O, namely: O1 To advance the use of systematic consultation processes that facilitates research at the crossroads of marine sciences and law.  O2 To advance critical knowledge and understanding of environmental pressing issues comparable to the regulation of RE on the high seas, such as deep-sea mining in the Area. A multistep innovative methodology will be adopted, by integrating marine scientific knowledge, consultative processes, and advanced critical research in the subject matter. A case study (interdisciplinary and participatory) involving marine scientists, indigenous and coastal communities and policy makers will be conducted onboard the Research Vessel KronPrins Haakon at the beginning of the project. The case study outcomes will be analysed through critical legal analysis to build a knowledge base for policy recommendations.  The project will advance the PI’s career in an international research environment, allowing her to generate independent, high-quality, and reproducible results.   

BOLD MINDS aspires to enhance the understanding of vulnerability factors underlying the emergence of borderline personality disorder (BPD), with an ultimate aim of increasing the potential for young individuals to receive early, evidence-based help when their mental health is at risk. BOLD MINDS will achieve this by investigating whether disruptions in two aspects of autobiographical memory (AM), narrative identity (NI) and involuntary AM (IAM), are associated with BPD features and problem behaviours in adolescents concurrently and over time. In doing so, BOLD MINDS will strengthen the understanding of mechanisms underlying the emergence of BPD in adolescence and lay a groundwork for developing evidence-based early interventions for BPD. While currently limited, the study of AM in this field is essential for two reasons. Firstly, because the aspects of AM under investigation, NI and IAM, are known to be involved in identity formation and emotion regulation which represent two key psychological processes that are disrupted in adults with BPD and are linked to problem behaviours such as self-harm and suicidality. Secondly, because promising research is emerging on the use of AM targets in the treatment of emotional disorder in adults, and provides a strong model for future treatment development with vulnerable adolescents. In addition, this timely research program aligns with calls from international organizations to prioritize early interventions to promote adolescent mental health. BOLD MINDS will adopt and adapt state-of-the-art ecological momentary assessment and analytical techniques and work at the crossroads of clinical and cognitive psychological perspectives, allowing for a multidimensional approach to understanding BPD vulnerability. Training-through-research and formalized training of the experienced researcher will prepare her for a permanent academic position and the founding of her own research lab specializing in AM and early interventions for BPD.

Borderline Personality Disorder: Memory and Identity in Adolescence

Multilingual Acquisition and Processing: Heritage Russian in Spain

Recent research highlights a need of deeper understanding of the nature of language competence and the development of this competence under heritage language bi- and multilingualism. Heritage speakers (HSs) is a population highly diverse in terms of their linguistic competence and its development. Multilingual Acquisition and Processing (MAP): Heritage Russian in Spain will provide an examination of Russian Heritage Language (HL) grammar in a previously unstudied socio-linguistic context focusing in particular on the patterns of cross-linguistic interaction at early and most unstable stages of multilingual language development. The overall research objective is to discover the patterns of language acquisition and language processing in order to find out how multilingual minds deploy their developing grammatical knowledge and how they detect and access the linguistic (morpho-syntactic) mechanisms from their two co-existing languages in real-time. The proposed empirical study will investigate the effects of linguistic proximity, individual experiential factors and the developmental patterns of cross-linguistic influence in child bilingualism. Heritage Russian in Spain will be studied with a focus on 3-7-year-old children in order to examine developmental trajectories in both languages. On the theoretical level, MAP will significantly contribute to the development of a model of heritage language grammar and add to a sub-field of multilingualism studies, Heritage Language Acquisition, by showing the patterns of cross-linguistic interaction at early stages of multilingual Russian-Spanish development. On a societal and education level, project findings will be relevant for policy makers, teachers, school principals and HSs communities in European countries. To date, most heritage language studies have focused exclusively on the minority language, MAP will fill an important gap by focusing on both languages.

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.

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

Ny forskning fra Europa og USA peker på at bedrifter bidrar til økende lønnsforskjeller– selv innenfor smalt definerte jobber eller industrier, som økonomifag eller treforedling. Til tross for stor interesse og økende tilgjengelighet av administrative data, vet vi overraskende lite om hvordan– og hvorfor bedriftene påvirker lønnsulikhet. Det viktigste hinderet har vært at variasjon i foretaks lønns- og personalpraksis (heretter kalt HR) har vist seg vanskelig å måle for et representativt utvalg av bedrifter.

I dette prosjektet løser vi måleproblemet ved å utvikle en ny forskningsinfrastruktur. Vår datainnsamlingsmetode muliggjør måling av HR og personalpolitikk på bedriftsnivå og kobling til inntekts- og arbeidertakerforhold. 

Denne kombinasjonen tilrettelegger for ny kunnskap om bedrifters interne arbeidsmarkeder og betydningen av HR og personalpolitikk for lønnsulikhet i arbeidsmarkedet.  

Vi starter med å utforske hva HR gjør i det eksterne arbeidsmarkedet. Her vil vi prøve å forstå hvordan bruk av rekrutteringsmetode avhenger av arbeideres utdanningsnivå, f.eks. master eller grunnskole, om man ansetter fra andre arbeidsgivere eller fra arbeidsledighet, og hvordan dette virker på ulikhet. I prosjektets hoveddel vil vi undersøke hvordan bedrifter organiserer sine interne arbeidsmarkeder, som for eksempel innebærer hvordan ulike jobber er rangert i et jobbhierarki, teams, hvordan ansatte navigerer karrieremuligheter i bedriften, oppnår forfremmelse og lønnsvekst, og hvordan ansatte verdsetter de interne mulighetene i forhold til muligheter i andre bedrifter. I siste del av prosjektet vil vi undersøke betydningen av informasjon om muligheter for arbeidere og hvorvidt forskjeller i lønn også reflekterer gap i kunnskap om muligheter. 

Samlet sett vil prosjektet bidra til økt forståelse av hvordan moderne arbeidsmarkeder fungerer og hva offentlig og bedriftspolitikk kan gjøre for å håndtere utfordringer knyttet til økende lønnsulikhet.

Firms’ human resource policies play an important role in shaping individual workers’ careers and overall inequality. The key challenge with identifying the role that firms play in shaping workers’ careers is that existing worker-firm datasets, such as Norwegian register data, do not include information on what goes on inside of firms. For instance, these data do not include information on how firms advertise or fill vacant positions, how workers learn about these positions, or how firms organize their internal hierarchies. This project aims to advance our understanding of the determinants of HR policies and the consequences of these policies for individual careers and for labor market inequality. In order to do so, the researchers will establish a research infrastructure that combines the strength of the Norwegian administrative data with recent advancements in survey design. 

The research infrastructure will allow them to open the "black box" of firms’ HR policies and make three distinct contributions. In the first project, they will use the infrastructure to develop and validate new survey instruments for measuring firms’ internal HR policies. This will allow them to describe determinants of firm recruitment policies, how practices differ across firms and workers, and whether different recruitment strategies reinforce existing labor market inequalities. In the second project, they will explore workers’ search across and within firms and examine the value workers attach to internal labor markets. This will leverage experiments embedded in the worker survey, as well as recent techniques to measure the organizational structure of firms. The third project will estimate the value that workers place on information about the outside labor market. In doing so, it contributes to an ongoing academic and policy discussion about the role of information in the labor market.

Firming Up Careers: Human Resource Policies and Inequality

Effektene av fysisk og seksuell vold på ofre og deres familier kan være ødeleggende og vedvarende, med potensielt langvarige konsekvenser for fysisk og mental helse, utdanning, sysselsetting og bruk av velferdstjenester. Mens strafferettssystemet anses som en viktig del av offerets gjenopprettingsprosess, er det begrenset empirisk forskning på hvorvidt strafferettslige prosesser hjelper og/eller hindrer bedring langs disse ulike dimensjonene. I dette prosjektet vil vi adressere dette kunnskapshullet ved å bruke en kombinasjon av kvantitative og kvalitative forskningsmetoder. I de kvantitative analysene vil vi bruke administrative registerdata som dekker hele befolkningen sammen med kvasi-eksperimentelle metoder for å kunne trekke kausale slutninger. Vi vil også benytte maskinlæringsteknikker for prediksjon. De kvalitative analysene vil supplere de kvantitative analysene ved å gi kontekst til et komplekst felt av saker og ofre og ved å identifisere potensielle mekanismer mellom strafferettslige prosesser og utfall for ofrene. Samlet vil disse metodene gi en mer robust, representativ og nyansert forståelse av hvordan kontakt med strafferettssystemet påvirker offeret på tvers av flere viktige livsområder både på kort og lang sikt. Prosjektet ledes av Folkehelseinstituttet (FHI) med Frischsenteret og Universitetet i Oslo som partnere. Prosjektet har et rådgivende utvalg med medlemmer fra Nasjonalt kunnskapssenter om vold og traumatisk stress (NKVTS), ETH Zurich, Universitetet i Oslo, Frischsenteret, Universitetet i Bergen, og OsloMet. Det er også tilknyttet en brukergruppe bestående av personer og organisasjoner som er i kontakt med ofre for vold og overgrep.

Victims of sexual and physical violence is one of the most vulnerable groups in our society. The criminal justice system (CJS) serves a critical role in providing assistance to victims of these crimes, enabling them to seek justice, protection, compensation, and closure. Yet, knowledge about whether the CJS helps or harms these victims is extremely limited. This project aims to remedy this by providing a comprehensive understanding of the role of the CJS in supporting and providing restoration for victims of physical and sexual violence in Norway. We will utilize a combination of quantitative and qualitative research methods across disciplines to study outcomes across multiple important life domains, both in the short and long run. For the quantitative analyses we will use exceptionally rich longitudinal administrative register data with full population coverage combined with state-of-the-art quasi-experimental methods for credible causal inference and predictive machine learning techniques. The qualitative analysis will be based on narrative interviews with victims, providing context and insights into how interactions with the CJS shape life stories. The results will yield a robust and nuanced understanding of how the different stages of the CJS impacts victims. This is particularly urgent given how the current emphasis on legal responses to assaults has caused a sense of obligation and civic duty for especially women to report incidents, while the chances of legal closure remain small. In addition to advancing the methods for quasi-experimental designs and machine learning within quantitative criminology, this project will provide valuable insights for policymakers, stakeholders, and practitioners working in the field of victim support and rehabilitation and may inform current legal reform efforts aimed at addressing these issues.

Helpful or harmful: The effects of criminal justice system contact on victims of sexual and physical violence

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.

RBGRUNTEKN-Res.bas.grunnbev.tekn-ind.inst

Grunnbevilgning - Stiftelsen SINTEF (Tekn.-ind.)

Awarded: NOK 613.9 mill.

Funding scheme:

RBGRUNTEKN-Res.bas.grunnbev.tekn-ind.inst

Funding Sources

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