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2020

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Energidepartementet

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Anvendt forskning

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

Prosjektet «Wheelchair Activity Monitoring» (WHAM) sikter både på å øke fysisk aktivitet blant rullestolbrukere, og på å bidra til bredere mål om mangfold og inkludering av personer med nedsatt mobilitet, ved å fremme større tilgjengelighet og deltakelse gjennom innovativ teknologi og forskning.

Rullestolbrukere er tre til fem ganger mindre aktive enn den generelle befolkningen, noe som øker risikoen for å utvikle forebyggbare sykdommer. Selv om det finnes retningslinjer for fysisk aktivitet som er tilpasset rullestolbrukere, trenger vi fortsatt effektive måter å implementere disse på samt nøyaktig teknologi for å spore mulige endringer i fysisk aktivitet. WHAM har som mål å bidra til økt fysisk aktivitet blant rullestolbrukere ved å lage digitale verktøy for å monitorere og gi tilbakemelding på rullestolbrukerens aktivitet. WHAM består av tre faser: to år ved University of British Columbia (UBC), som inkluderer et samarbeid med eksperter innen atferdsendrings-intervensjoner for rullestolbrukere; ett år ved Norges teknisk-naturvitenskapelige universitet (NTNU) og et halvt år ved Maastricht Instruments - de to siste fasene er viet til å utvikle de digitale teknologiene. 

WHAMs mål er:
1)	Å teste effekten av et treningsprogram på fysisk aktivitetsnivå og fitness blant rullestolbrukere,
2)	Å utvikle nøyaktige algoritmer for monitorering av fysisk aktivitet blant rullestolbrukere,
3)	Å lage et system som både monitorerer og gir tilbakemelding på fysisk aktivitet blant rullestolbrukere.

Wheelchair users (WCU) are three to five times more inactive than the general population, leading to a high risk of developing preventable secondary conditions. Although physical activity (PA) guidelines have been specifically developed for WCU, we lack systematic approaches to implement them in practice, as well as valid algorithms to monitor PA change in WCU through sensor-based solutions. Accordingly, the overall scientific aim of the WHeelchair Activity Monitoring project (WHAM) is to advance PA research and practice in WCU by developing valid digital markers for monitoring of and providing feedback on PA, paving the way for implementation and intervention. I will accomplish this through combining the complementary research fields of 1) behavioral intervention studies focusing on increasing PA in WCU (core competence University of British Columbia, UBC; outgoing phase) and 2) sensor-based PA monitoring (core competence Norwegian University of Science and Technology, NTNU; returning phase – consolidated by non-academic placement at Maastricht Instruments, which develop research prototypes including PA monitors). WHAM’s scientific aim is achieved through three objectives: 1) Measure the effect of a pragmatic exercise intervention trial on self-reported physical activity levels and cardio-respiratory fitness, 2) Develop valid algorithms for tracking PA markers in WCU, and 3) Co-create
a framework that outlines how PA can be conjointly monitored and provided feedback on in WCU. This fellowship will enable me to become established as an internationally recognized researcher in the field of “physical activity and disability”, while bringing together ongoing national disjointed research activities in this field. Altogether, my overall ambition is to contribute to reducing inequalities in daily-life participation among WCU compared to the rest of the population.

Topfinancing - WHeelchair Activity Monitoring project (WHAM)

Bilingual Experiences, Cognitive Ageing and underlying Mechanisms

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.

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.

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.

Reality-Connected Machine Simulation of Heavy Machinery

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.

Enabling the next generation in search of blood cancer cures

The CarrerasPathfinder program is new a world-wide unique doctoral program that covers the entire spectrum of research and innovation in blood cancers from understanding disease biology to the implementation of novel processes in the clinical practice. The program will fund 14 excellent Doctoral Candidates (DCs) for a period of 48 months. DCs will perform collaborative PhD projects involving associated partners from different sectors, countries, and disciplines through secondments. DCs will improve their research capacity and transferable skills through high-quality supervision arrangements and a tailored training program.

The program has been designed and will be hosted by the Josep Carreras Leukaemia Research Institute (IJC) which is the first European non-profit institute exclusively devoted to blood cancers. By answering the European needs for human resources, it is fully aligned with the 13 recommendations of the EU Cancer Board’s Draft Mission  and the Europe’s Beating Cancer Plan (2021). The CarrerasPathfinder program has a strong triple-I dimension of internationality, inter-sectorality and interdisciplinarity in training, networking, co-supervision and research. Its specific objectives are:
•	To develop an excellent doctoral program in blood cancer research conceived as a pilot for a permanent international doctoral program
•	To equip DCs with a unique skill set boosting effectiveness and innovation capacity. 
•	To promote DCs’ career development and increase their employability in different sectors.
•	To establish the IJC as a European reference for research and training in blood cancers.
•	To provide Europe with a new generation of researchers able to address unmet needs and societal challenges of blood cancers.
•	To contribute to structuring the European research area by collaborating and synergizing with other European key opinion leaders.



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

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

Midlene fra GONORTH-Utforske polhavet fordelt på år

Midlene fra GONORTH-Utforske polhavet fordelt på fylker

Midlene fra GONORTH-Utforske polhavet fordelt på fagområde

Prosjektdirektør

GoNorth er et flerfaglig konsortium bestående av 13 norske forsknings- og utdanningsinstitusjoner, som er Akvaplan-niva, NERSC, NGU, NORCE, NORSAR, NP, NTNU, NUPI, SINTEF, UiB, UiO, UiT og UNIS. Formålet er å utforske Polhavet gjennom å organisere og sjøsette flerfaglige forskningstokt. Toktet til Nordmarginen, Nansenbassenget og Knipovich-ryggen høsten 2022, ble delfinansiert av NFD og UD. GoNorth har sitt opphav i Kontinentalsokkelkommisjonen i FN sin aksept i 2009 for det norske kravet om en utvidet sokkel i Polhavet, og mangelen på kunnskap om sokkelen. Senere er prosjektet utvidet til også å inkludere vannsøylen og geopolitikken i nord. Regjeringens Nordområdemelding fra 2020 fremhever behovet for mer kunnskap om Polhavet og omtaler Polhavsprogrammet GoNorth som et "nasjonalt løft" som "samler nasjonale og internasjonale polare forskningsmiljøer i én organisasjon". Dette ble fulgt opp i Hurdalsplattformen fra 2021, hvor regjeringen skriver at den vil "bidra til mer kunnskap og videre kartlegging av havsokkelen lengst mot nord sammen med andre arktiske stater." GoNorth har hatt en egen driftsbevilgning fra NFD, KD og UD på 3 MNOK per år siden 2020. Formålet med bevilgningen har vært å operasjonalisere GoNorths vitenskapelige plan gjennom forskningstokt. Vi har ytterligere to tokt på tegnebrettet i tillegg til toktet til Nordmarginen høsten 2022. Finansieringsmodellen for GoNorth er todelt: Vår oppgave er å finansiere og organisere tokt inn i Polhavet, mens prosjektene om bord må finne sin finansiering gjennom EU, Forskningsrådet eller andre kilder.

The "GoNorth 2022" project will organise, launch and partly fund the infrastructure of a research expedition to the oceanic areas north and west of Svalbard in October-November 2022. The project will use the research vessel Kronprins Haakon as its platform. The expedition will be in two parts - one covering the oceanic areas north of Nordaustlandet and Kvitøya and into the Nansen basin, the other covering the oceanic spreading ridge west of Svalbard, the Knipovich Ridge. The cross-disciplinary program will be organised through ten different research projects, covering the sub-sea geology, the sea floor, the water column and the surface sea ice. These projects are funded by the Research Council, EU, private companies, NRC-funded Centres of Excellence and partner funding. The projects are listed in a separate attachment. Education is an important part of the program.
Organising and funding such an expedition is a challenge, mainly because of the high logistics and infrastructure costs. While the total budget for the 2022 expedition adds up to approx. 70 MNOK, logistics and infrastructure amount to approx. 30 MNOK or almost half of the costs. The mission of the "GoNorth 2022" project, is to organise and fund the infrastructure needs, thereby serving the entire portfolio of research projects on board. 
It is the goal of GoNorth to be scientifically excellent, economically feasible and useful for the future management of the Arctic Ocean. The program shall bring Norway to the forefront as a responsible manager of the environment and the natural resources. As most projects onboard have received their funding though NRC/EU, they have also been evaluated by scientific panels and are required to report according to the requirements of their calls. Reporting on scientific issues from the projects is therefore outside the scope of "GoNorth 2022".

GoNorth - Geosciences in the Northern Arctic - tokt til Nordmarginen av Svalbard i 2022

Our company has developed the qbee.io platform, a unique platform that is vendor agnostic and does not require software development or containers, thus saving time and costs to IoT companies and ensuring IoT devices are secured, updated, connected and remotely accessible. The solution provides clear advantages to several IoT verticals such as industry 4.0, smart cities, smart buildings, sensor networks, vending machines, measurement equipment, etc. We operate towards devices manufacturers and system/devices integrators or operators. The company, qbee AS will lead the project, which will focus on further development and commercialization of our embedded IoT device management solution. The main barriers for qbee AS going forward relate to the development of product´s security certification requirements, ML algorithms automation, edge processing performance, market awareness, competition from major market players; dissemination, product scale-up and securing commercialization partners. This project will enable: 1) maturing and refining qbee.io platform; 2) get a security certificate , 3) extend machine learning capabilities, 4) provide data analysis on anomaly patterns, 5) implement a security and management module to handle application data. The process should culminate with the commercial launch of the complete system. 

The EIC Accelerator program provides a unique opportunity for qbee AS to showcase the potential of its technology and gain market intelligence that will ultimately lead to acceptance by end-users. The completion of the project objectives is important for ensuring a successful market entrance and commercialization of our innovative IoT device management solution

Smart, scalable and agnostic IoT device management platform to bridge the competence gap in the industry 4.0 revolution

Our company has developed the qbee.io platform, a unique platform that is vendor agnostic and does not require software development or containers, thus saving time and costs to IoT companies and ensuring IoT devices are secured, updated, connected and remotely accessible. The solution provides clear advantages to several IoT verticals such as industry 4.0, smart cities, smart buildings, sensor networks, vending machines, measurement equipment, etc. We operate towards devices manufacturers and system/devices integrators or operators. 
The company, qbee AS will lead the project, which will focus on further development and commercialization of our embedded IoT device management solution. The main barriers for qbee AS going forward relate to the development of product´s security certification requirements, ML algorithms automation, edge processing performance, market awareness, competition from major market players; dissemination, product scale-up and securing commercialization partners. This project will enable: 1) maturing and refining qbee.io platform; 2) get a security certificate , 3) extend machine learning capabilities, 4) provide data analysis on anomaly patterns, 5) implement a security and management module to handle application data. The process should culminate with the commercial launch of the complete system.

The EIC Accelerator program provides a unique opportunity for qbee AS to showcase the potential of its technology and gain market intelligence that will ultimately lead to acceptance by end-users. The completion of the project objectives is important for ensuring a successful market entrance and commercialization of our innovative IoT device management solution.

DEVISE - Smart integrated edge device management platform for the IoT industry with added focus on security

QBee was founded in 2017 to help industrial IoT companies managing their embedded Linux devices. Ensuring distributed Linux IoT devices are secure, updated, connected and remotely accessible is a challenge, especially when they are from different vendors, and when there is a mix of old legacy units with new ones. qbee.io is a unique platform that is vendor agnostic and does not require software development or containers, thus saving time and costs to IoT companies regarding internal software development and manual configurations. Our platform addresses many IoT verticals such as industry 4.0, smart cities, sensor networks, vending machines, measurement equipment, etc. We operate towards devices manufacturers and system/devices integrators or operators. 

QBee aims to improve the current existing minimal viable product. Besides monitoring metric data, configuration data, communication patterns, Linux system behaviour, etc, it was identified the need of an accurate anomaly detection feature. Thus, it is critical to our product to include intelligent algorithms to detect automatically anomalies and thus ensure a secure and efficient maintenance of the connected devices. QBee aims to develop this critical feature from scratch to be the first player in the market offering a reliable solution with low false positive detection rate. 

QBee does not possess in-house expertise in machine learning for time series or unstructured data analysis, that is essential for this project. We are looking to recruit an Innovation Associate with the required skill set, in order to complement our team. The SME Innovation Associate programme is thus necessary for QBee to initiate R&D activities with a view to positioning QBee as a top player in large scale management of IoT devices. Acquiring these skills is thus fundamental for QBee to keep and extend its competitive advantage over the coming years and will allow QBee to outgrow into a forefront innovation player at global scale.

0 projects

PES-HORISONT-EU-PES Horisont Europa

Smart, scalable and agnostic IoT device management platform to bridge the competence gap in the industry 4.0 revolution

Awarded: NOK 74,999

Project Period: 2021-2021

Location: Akershus

PES2020-Prosj.etabl.støtte H2020

DEVISE - Smart integrated edge device management platform for the IoT industry with added focus on security

Awarded: NOK 74,999

Project Period: 2020-2020

Location: Akershus

PES2020-Prosj.etabl.støtte H2020

Anomaly detection combining time series and unstructured data using Artificial Intelligence algorithms in a cloud/edge device scenario

Awarded: NOK 0.20 mill.

Project Period: 2019-2020

Location: Akershus