Of the many crowd behavior models, very few have been used in assisting crowd management practice. This lack of usage is partly due to crowd management involving a diversity of situations that require competencies in observing, sense-making, anticipating and acting. Crowd research is similarly scattered across disciplines and needs integration to advance the field towards supporting practice. To address these needs, we present INCROWD, an integrated framework detailing a high-level architecture of a decisionsupport system for crowd management and model development. It also offers a lens for categorizing crowd literature, allowing us to present a structured literature review.

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The present paper addresses privacy issues in electronic audio/video content distribution. It introduces an identitybased rights distribution and management system that enables users to access content anytime, anywhere, and on any device by means of authorization certificates issued by a content provider. These certificates openly link the identity of the users to the content that they are entitled to access. This fact, together with the availability of the certificates everywhere in the network, raises user privacy issues. A solution is proposed which deals with these issues and still allows the device to securely check the user's entitlement to the content.

Decision-making in emergency management is a challenging task as the consequences of decisions are considerable, the threatened systems are complex and information is often uncertain. This paper presents a distributed system facilitating better-informed decision-making in strategic emergency management. The construction of scenarios provides a rationale for collecting, organising, and processing information. The set of scenarios captures the uncertainty of the situation and its developments. The relevance of scenarios is ensured by gearing the scenario construction to assessing alternatives, thus avoiding time-consuming processing of irrelevant information. The scenarios are constructed in a distributed setting allowing for a flexible adaptation of reasoning (principles and processes) to both the problem at hand and the information available. This approach ensures that each decision can be founded on a coherent set of scenarios. The theoretical framework is demonstrated in a distributed decision support system by orchestrating experts into workflows tailored to each specific decision.