I have been teacher assistant in the courses: IT i Organisationer (ITO), Objektorienterad analys och design (OOS), and Data Warehousing (IS5).

The goal of my PhD thesis is to design an enterprise modelling language for organisational rules in complex adaptive systems.

I aim for this language to help a diverse range of stakeholders gain an overview of, and navigate, the vast maze of rules and regulations that constrain modern organisations. I also hope it will contribute to more informed discussions about why our rules are the way they are, and how to strike a balance between the need for control and the need for freedom.

So far, this research has primarily been conducted in the domain of health data in Sweden and the EU. There are several facets here worth exploring, including:

• How to visualise the enormous volume of rules in this heavily regulated area, with the ability to zoom in and out.

• The interplay between the right to health and the right to privacy — sometimes conflicting, sometimes mutually reinforcing.

• The multi-level governance structures, from EU directives down to organisations' internal rules.

• How new collaborations give rise to the need for shared rule-making that balances the interests of both member organisations and the broader system.

My work is partly conducted within the context of the Health Data Sweden project, where one aspect involves making customised rule maps to companies.

A selection from Stockholm University publication database

• Modelling of Organisational Rules in Complex Adaptive Systems: a Systematic Mapping Study

  2024. Jöran Lindeberg, Martin Henkel, Eric-Oluf Svee. Perspectives in Business Informatics Research, 103-118

  Conference

  Organisational rules, both created internally and externally mandated, are vital to an enterprise. Yet, understanding and managing these rules is problematic, as they are a part of a complex system. Thus, there is a need to view them in a complex setting of organisational actors and interactions. It has been suggested that enterprises, particularly in situations like collaboration in healthcare, should be analysed as complex adaptive systems (CAS). However, only some enterprise modelling contributions can represent perspectives of CAS theory. In this paper, we set out to examine how organisational rules in complex adaptive systems has been modelled. A systematic mapping study was conducted on modelling languages of organisational rules in collaborations, resulting in 22 identified languages. The constructs and modelling patterns of the identified languages were mapped against an analytical framework that included 15 concepts from CAS theory. Overall, even though most CAS concepts had yet to be addressed by the identified languages, potentially useful approaches were found, related to: abstraction of large organisational rule systems through power relations; interpretation and implementation of rules; feedback loops to rule-makers, including delays.

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• A Shared Data Model for Improved Documentation of Human Rights Violations

  2024. Jöran Lindeberg, Martin Henkel. Journal of Human Rights Practice, 1-13

  Article

  Human rights groups of all sizes and specializations gather evidence of human rights violations. Those with sufficient resources commonly use dedicated databases to manage the intricate web of sources, events, and analyses that build a strong case. However, developing databases for the needs of each organization remains a challenge. Effective database design requires a data model, which functions as a blueprint for how the data is structured and related. A most basic example of what a data model can specify is that a human rights violation is committed by at least one perpetrator, and that the perpetrator’s attributes, such as name or date of birth, should be recorded. A data model that is shared and generic reduces the need to reinvent the wheel since its design can be reused for several databases. In the information systems field, such shared models are called ontologies. Despite the critical nature of the matter, no ontology for human rights violations documentation exists. The present note, therefore, will present the design of the first ontology of this kind. It was developed in association with the human rights group HURIDOCS, which specializes in information management. The requirements elicitation included unstructured interviews with HURIDOCS, document analysis of human rights manuals, and a survey with practitioners. The resulting ontology, named OntoRights, is freely available online with an open license. The evaluation of OntoRights suggests that OntoRights could be highly useful for case databases.

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Show all publications by Jöran Lindeberg at Stockholm University