Jag har varit lärarassistent på kurserna IT i organisationer (ITO), Objektorienterad analys och design (OOS) och Data warehousing (IS5).

Målet med min doktorsavhandling är att utforma ett modelleringsmetod för organisatoriska regler i komplexa adaptiva system. Läs mer på projektets egen sida. 

I urval från Stockholms universitets publikationsdatabas

• 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

  Konferens

  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.

  Läs mer om Modelling of Organisational Rules in Complex Adaptive Systems

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

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

  Artikel

  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.

  Läs mer om A Shared Data Model for Improved Documentation of Human Rights Violations

Visa alla publikationer av Jöran Lindeberg vid Stockholms universitet