Enterprise Architecture (EA) management is a well-defined practice for conducting coherent analysis, design, planning, and implementation for the successful execution of business strategy. In practice many organizations are struggling with EA frameworks since the processes to manage the EA are not adequately supported. In this paper we examine Adaptive Case Management (ACM) as an emerging paradigm to support agile, lean, and collaborative processes for EA management (EAM). In contrast to traditional workflow management, ACM empowers end users to adapt their processes at run-time. Based on the findings of an extensive literature review we derived requirements for ACM and developed a prototype based on these requirements to support processes for EAM. We applied our solution for the development of a planned state of the architecture in the EA department of a German insurance organization. The findings from expert interviews with three enterprise architects and two EA consultants of this insurance organization are very promising and provide valuable insights how more effective process support for EAM can be achieved in the future.

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Although collaborative activities are paramount in science, little attention has been devoted to supporting on-line scientific collaborations. Our work focuses on scientific collaborations that revolve around complex science questions that require significant coordination to synthesize multi-disciplinary findings, enticing contributors to remain engaged for extended periods of time, and continuous growth to accommodate new contributors as needed as the work evolves over time. This paper presents the interface of the Organic Data Science Wiki to address these challenges. Our solution is based on the Semantic MediaWiki and extends it with new features for scientific collaboration. We present preliminary results from the usage of the interface in a pilot research project.

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