A number of initiatives are underway for digitalizing real estate transaction processes. Public and private sector bodies are working to automate information retrieval and processing of the financial, ordinance  and  fiscal aspects of such transactions. Other initiatives, such as ours,  are targeted toward helping  stakeholders directly involved in selling and buying  real estate. We present the results from a set of  group sessions, where the focus was on improving the presentation of salient information to sellers and buyers of property. Based on an earlier conceptualization of perceived  information difficulties, we   elicited user stories  for facilitating a better generation, provision and consumption of relevant information for the  residential real estate transaction process. A total of ten services were aggregated from the user stories. We then asked a set of stakeholders to rate the effect of the services on functional objectives; i.e., on how they will affect the transaction process.  We asked stakeholders at the managerial level to rate the functional objectives on strategic objectives. Combining the two sets of ratings, one obtains a rating of perceived benefit for the services, which can help in prioritzing which services to start developing first. In the outset, real estate transactions involve stakeholders with opposing interests. We conclude that multi-stakeholder group sessions can help generate services that serve these conflicting interests on a common ground. 

There is an immediate need for a greater number of highly skilled cybersecurity personnel to meet intensified cyber attacks. We propose a cyber range exercise management architecture that employs machine reasoning to structure the design, execution and analysis of cyber range training scenarios. The scenarios are then used in simulation-based training in an emulated IT infrastructure environment. The machine reasoning is obtained by combining four AI methods: attack-defence trees, formal argumentation theory, answer set programming and multiagent systems. We argue that this type of advanced functionality that supports exercise managers in their design and analysis of scenarios is strictly necessary to improve current exercise management systems and build the required cybersecurity expertise.

When analysing how the information-technological innovation of a startup company is perceived to affect the market, we encountered challenges when using existing customer journey analysis frameworks. In particular, we identified a need to express critical events for technology adoption, a need to express universal access principles and a need to express journeys for multiple stakeholders in the same diagram; all in an easily readable manner. To do this, we extended an existing stripped-down customer journey framework with elements for the above aspects. We present this extended framework as a stakeholder journey framework. Based on the initial application of this framework on the startup company's innovation product, we conclude that the stakeholder journey framework aided in uncovering issues within technology adoption and universal access that would otherwise not have been addressed.