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Introduction
My research interest is the study of the sociotechnical challenges of implementing and maintaining ICT-based platforms and information infrastructures. I am also particularly interested in the methodological stakes when studying distributed and long-term arrangements like infrastructures and platforms.
I adopt an ethnographic approach based on an interpretive perspective.
I draw primarily on IS and CSCW theories, but my work is also influenced by Science and Technology Studies (STS).
Skills and Expertise
Current institution
Publications
Publications (64)
Technologies for collaboration within the oil and gas industry, which are referred to as Integrated Operations, challenge traditional geographical, disciplinary, and organisational boundaries. Fuelled by the availability of sensor networks, faster data transfer technologies, shared data exchange formats, and collaborative work flows, Integrated Ope...
We know little about the marine environment, particularly in the inhospitable Arctic region. Whereas national authorities often rely on the construction of a solid knowledge base to allow human activity access to new areas, scientists point to the impossibility of building comprehensive knowledge of subsea ecosystems. This paper presents an ethnogr...
Interconnected workplace information technologies (information infrastructures) are distributed across user and system types, agendas, locales, and temporal rhythms. The term infrastructuring describes the design of information infrastructure not as a bounded phase but as a continuous collaborative and inherently political process. From the perspec...
All knowing is material. The challenge for Information Systems research is to specify how knowing is material by drawing on theoretical characterizations of the digital. Synthetic knowing is knowing informed by theorizing digital materiality. We focus on two defining qualities: liquefaction (unhinging digital representations from physical objects,...
Much Information Systems research on data science treats data as pre-existing objects and focuses on how these objects are analyzed. Such a view, however, overlooks the work involved in finding and preparing the data in the first place, such that they are available to be analyzed. In this paper we draw on a longitudinal study of data management in...
The study of data quality (DQ) in information systems (IS) research has gained prominence, particularly in the realm of data repurposing. This process, also referred to as secondary data use, involves using already existing data for a purpose other than initially planned, often by new users who may have limited understanding of data’s contextual nu...
Fear of job displacement in the Artificial Intelligence (AI) era echoes long-standing concerns about machines replacing human work. This paper critically examines dominant narratives around AI and its impact on jobs, challenging technology-deterministic predictions of widespread job loss. We introduce two key concepts: the 'reinstatement effect,' w...
AI holds significant potential for the future but also presents various risks. As global regulation of AI advances, with the European AI Act (AIA) leading the way, it prompts critical questions: How are organizations preparing for this imminent era of AI and its regulation? What methodological and conceptual tools can researchers utilize to underst...
This paper explores citizens’ stances toward the use of artificial intelligence (AI) in public services in Norway. Utilizing a social contract perspective, the study analyzes the government–citizen relationship at macro, meso, and micro levels. A prototype of an AI-enabled public welfare service was designed and presented to 20 participants who wer...
Integrating sustainability into teaching practices in higher education is a challenge that is addressed both from the top down through institutional policies and from the bottom up through individual contributions. In this article, we present the approach taken to integrate sustainability topics into the teaching practices of a computer science dep...
Data are the building blocks of the ongoing digital revolution, yet there are still many unresolved questions regarding their role in the study of information systems (IS), management and innovation. As data become increasingly pervasive elements of socioeconomic life, we ask whether IS needs to expand the ways in which it conceptualizes data and t...
Data curation is crucial for data reusability. New possibilities for digital data sharing are an urgent concern for data curators, who must keep historical datasets and present data collections always ready to meet unknown future data needs. This calls for a more nuanced understanding of the temporal horizons of data curation in Information Systems...
Establishing accountability for Artificial Intelligence (AI) systems is challenging due to the distribution of responsibilities among multiple actors involved in their development, deployment, and use. Nonetheless, AI accountability is crucial. As AI can affect all aspects of private and professional life, the actors involved in AI lifecycles need...
Procurement is a widely adopted collaborative approach for acquiring new systems in
the public sector. It exemplifies a situation in which the early stages of digital system
design define the boundaries and constraints of a new system that must be specified in
the tender document (i.e., a binding offer). Researchers and government officials have
lo...
The adoption of Artificial Intelligence (AI) by the public sector has the potential to improve service delivery. However, the risks related to AI are significant and citizen concerns have halted several AI initiatives. In this paper we report findings from an empirical study on citizens´attitudes towards AI use in public services in Norway. We foun...
Being responsible for Artificial Intelligence (AI) harnessing its power while min-imising risks for individuals and society is one of the greatest challenges of our time. A vibrant discourse on Responsible AI is developing across academia, policy making and corporate communications. In this editorial, we demonstrate how the different literature str...
Responsible AI (RAI) is an emerging topic in the Information Systems (IS) literature. RAI entails ensuring ethical, transparent, and accountable use of AI technologies in line with societal values, expectations, and norms. The challenge for research on IS education at university level is to accompany the growing research on RAI with approaches to e...
How is digitalization of the offshore oil industry fundamentally changing how we understand work and ways of knowing?
Digitalization sits at the forefront of public and academic conversation today, calling into question how we work and how we know. In Digital Oil, Eric Monteiro uses the Norwegian offshore oil and gas industry as a lens to investiga...
Digital transformation has been one of the most studied phenomena in information systems (IS) and organizational science literature. With novel digital technologies emerging at a growing pace, it is important to understand what we have learned in over three decades of research and what we still need to understand in order to harness the full potent...
The past years of researching digital transformation and the accumulated experience of practitioners in deploying projects of novel digital technologies have allowed us to gain much valuable insight about the process. From this assembly of knowledge, there is a lot we can learn about how to conduct future research, as well as a depth of knowledge r...
While we have accumulated much knowledge over the past decades about how organizations engage in digital transformation, future developments are likely to make a lot of this knowledge at least partially obsolete. New forms of working and organizing, along with an increased collaboration between human and machine, are likely to give rise to new form...
Norway is generally characterized by a pervasive presence of digital services. It is currently undergoing a digital transformation across different domains, from daily life to public and private enterprises. In this introductory chapter, we first unpack the main drivers of digital transformation in Norway so far and its enabling conditions based on...
The energy industry in Norway has a long tradition in using information technology to enable integrated operations, namely, remote collaboration between personnel at offshore installations and experts at onshore office environments. Currently, the industry is undergoing a digital transformation in which remote operations of unmanned offshore assets...
This chapter presents key lessons learned and implications for practice resulting from the analysis of the empirical cases included in this book. We map emerging themes across five layers: unit or project, organization, organization ecosystem, ethical and environmental sustainability, and society. We identify two emerging trends: the co-evolution o...
Research methods are part and parcel of good research. Despite this, we often teach research methods in an ad hoc manner and do not reflect on relevant pedagogical aspects. This situation is changing due to the introduction of dedicated research methods courses as part of a transferable skills agenda in many universities. To address pedagogical asp...
In the past three decades, there has been an increasing interest in transitions as crucial analytical moments of socio-technical change, with infrastructures being strategic loci from where to leverage these transformations. In this article, we argue for the necessity to re-engage with not-in-transition periods, which have theoretically and analyti...
The information systems (IS) discipline has long focused on digitalization processes' nature. Currently, substantial hype around the opportunities that digital technologies offer exists. But what can IS expect from an apparently near "post-digital" era when the "digital" becomes so ubiquitous that no one sees it as worthy of separate attention any...
Data governance is concerned with leveraging the potential value of data in data infrastructures. In IS research, data governance has developed as a management perspective, implying a narrow view of who makes decisions about the data in infrastructures. In contrast, we propose a data governance in practice view and focus on the day-to-day decisions...
Extant Information Systems research emphasizes the strategic benefits of digitalization and value co-creation for business. Less is known, however, about the dynamics of how value is co-created in the digitalization of the public sector, where data infrastructures are increasingly adopted. We identify three core empirical challenges for value co-cr...
All knowing is material. The challenge for Information Systems (IS) research is to specify how knowing is material by drawing on theoretical characterizations of the digital. Synthetic knowing is knowing informed by theorizing digital materiality. We focus on two defining qualities: liquefaction (unhinging digital representations from physical obje...
This e-zine documents the discus- sions and group work done at the ‘Infrastructuring in Participatory Design’ workshop, a full-day event that took place at the Participatory Design Conference 2018 in Hasselt and Genk, Belgium. The workshop invited the Participatory Design (PD) community to come together, with their cases or projects, questions and...
In 1995, marine biologist Daniel Pauly warned against shifting baseline syndrome, or the tendency to assess environmental sustainability against biased or inappropriate baseline data. Today, digital systems have a strong potential to make new Green Information Systems (IS) solutions possible. However, these systems also require in-depth analysis, t...
Processes of quantifying the qualitative have deep historical roots that demonstrate their contested nature. The ongoing push for Big Data/data science presupposes the quantification of qualitative phenomena. We analyse an ongoing case where the core of the qualitative – judgements, assessments, sensemaking – is being challenged by quantification t...
The ongoing adoption of sensor networks, algorithms, and digital data comes with the promise of opening up participation in knowledge production. However, the dynamics of the participatory design (PD) processes in these infrastructuring endeavors remain underspecified. This short paper draws on a study of an oil company's project to design an open...
In¹ this hands-on workshop we invite the PD community to take stock of empirical insights and conceptual developments around the notions of infrastructure and infrastructuring. We propose that by leveraging the original relational nature of these concepts, we can revitalize the political soul of PD and better characterize the politics of participat...
Networks of smart devices referred to as Internet of Things (IoT) have valuable applications across policy areas in the public sector. However, we lack knowledge on how IoT actually takes part in processes of societal decision making and its social implications. In this paper, we report from research in progress on IoT and big data in the public se...
This workshop was organized to provide members and other stakeholders of INAR RI Ecosystems with an introduction to data management in the ecological and related sciences. The notion of local data management was used as a starting point to discuss data management activities taking place at or close to the origins of data, and to envision how data w...
Politics in environmental research infrastructure formation: When top-down policy-making meets bottom-up fragmentation | Platypus The environmental sciences have been a fertile ground for the development of scientic infrastructures (a.k.a. cyberinfrastructure in the USA and research infrastructure in Europe).
The workshop was organized at the EASST2018 Conference to take stock of empirical insights and conceptual developments around the notion of infrastructuring in STS. We report on the collective process that aimed to critically map and disentangle assumptions, identify blind spots, and chart the varied uses of the notion in STS. By using a hands-on a...
This focus section aims to promote a critical reflection of research methods to study modern Information and Communication Technologies (ICT). Research methods are essential in any research project, although always necessarily adjusted to suit the project in hand. Unlike most well-established scientific disciplines, design research is not supported...
This paper presents future directions for the research agenda on information technology and systems diffusion. Our recommendations are derived from a study of digital solutions proposed and developed for the United Kingdom to combat falsified medicines. The medicines supply chain emerges an information infrastructure characterised by highly politic...
The proliferation of distributed digital technologies in contemporary enterprise challenges the understanding of situated action. This paper revisits this notion in the era of Big Data and the Internet of Things. Drawing upon longitudinal studies within the offshore oil and gas industry, we empirically expand upon Knorr Cetina’s ‘synthetic situatio...
Important dates. Submission opens: Oct 3, 2016; Submission deadline: Dec 3, 2016; Notification of decision: Mar 25, 2017; Final version: April 21, 2017
URL: http://www.ecis2017.eu/
Present knowledge about the Arctic marine ecosystem is sparse. These areas are vast, remote, and subject to harsh weather conditions. We report from a three-year case study of an ongoing effort for real-time sub-sea environmental monitoring by a Norwegian oil and gas operator aimed to obtain permission to drill in Arctic Norway. The marine ecosyste...
Integrated Operations in the oil and gas industry depend on highly cooperative yet computer-mediated and distributed workflows across complex information infrastructures. In particular, offshore operations rely heavily on digital technologies to gain remote access to subsea oil or natural gas fields, and are at the same time subject to strict requi...
Organisations must design and innovate capabilities in a symbiotic evolution between social and technical elements. Information Systems (IS) literature has successfully demonstrated the relationship between the material technology and the social organization, and how both influence each other. However, research has tilted in terms of favouring the...
Sociomateriality is gaining momentum and is by now characterized as a research stream in the information system field. Although some definitions emerged, there is still uncertainty about how to conceptually and analytically address sociomateriality. The debate ranges from understanding sociomateriality as just a fancy word for technology to treatin...
The oil and gas industry has an installed base that is characterized by local fragmented approaches for data management. Inside this information infrastructure, real-time monitoring of the subsea environment remains an unexplored arena that demands a cross-disciplinary and cross-organizational data integration layer. Semantic technologies have been...
The deep ocean outside the coasts of Norway is inhabited by the widest community of Lophelia Pertusa cold-water coral reefs. There, Lophelia has been slowly growing for more than 9000 years, but today human activities are pushing the accelerator towards environmentally harsh and sensitive areas, suddenly making humans aware of the existence of Loph...
Lexical annotation is the process of explicit assignment of one or more meanings to a term w.r.t. a sense inventory (e.g., a thesaurus or an ontology). We propose an automatic supervised lexical annotation method, called ALATK (Automatic Lexical Annotation -Topic Kernel), based on the Topic Kernel function for the annotation of schema labels extrac...
In the landscape of Small and Medium Enterprises (SMEs) acting in the field of ICT, several Software Engineering methodologies and quality models are available. The FACIT-SME European FP-7 project (http://www.facit-sme.eu/) has the purpose to help SMEs in retrieving and exploiting such knowledge in order to find the development methodologies that b...
