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Paper on Lessons Learned in Aligning Data and Model Evolution accepted

A paper has been accepted for publication at the International Conference on Software Engineering (ICSE). In the paper entitled Lessons Learned in Aligning Data and Model Evolution in Collaborative Information Systems, the author team consisting of Thomas Reschenhofer, Manoj Bhat, Adrian Hernandez-Mendez, and Florian Matthes elaborate on exprienced challenges in more than 5 years of applying a collaborative information system in research and industry projects. The goal of this paper is to provide a set of lessons learned which can serve as guidelines for the development of similar software systems.


Paper on Case Management for Knowledge-Intensive Processes accepted

A paper has been accepted for publication at the AdaptiveCM that is co-located with the BPM conference. In the paper entitled "Case Management: An Evaluation of Existing Approaches for Knowledge-Intensive Processes", the author team consisting of Mike A. Marin (IBM), Matheus Hauder (TUM) and Florian Matthes (TUM) compare prominent definitions of case management over the last twenty-three years against characteristics of knowledge-intensive processes (KiPs). Goal fo this paper is to evaluate the applicability of case management and the Case Management Modeling and Notation (CMMN) that was recently published by the OMG for KiPs. The paper provides requirements for execution environments implementing CMMN and delineate existing case management approaches to advance the understanding of this important domain.


Paper on A Task-Centered Framework for Science Collaborations at e-Science accepted

A paper has been accepted for publication at the eScience conference. In the paper entitled "A Task-Centered Framework for Computationally-Grounded Science Collaborations", the author team (Yolanda Gil, Felix Michel, Varun Ratnakar, Matheus Hauder Christopher Duffy, and Paul Hanson) presents the Organic Data Science framework to support scientific collaborations that revolve around complex science questions that require significant coordination, entice contributors to remain engaged for extended periods of time, and enable continuous growth to accommodate new contributors as the work evolves over time. We discuss how the design of this framework incorporates principles followed by successful on-line communities.  We present initial results to date of several communities that are collaborating using this framework. See [Gi15c]


Paper on Software Support of Knowledge-Intensive Processes accepted

A paper has been accepted for publication at the International Conference on Business Information Systems. In the paper entitled "Empowering End-Users to Collaboratively Structure Process for Knowlegde Work", the author team (Matheus Hauder, Rick Kazman and Florian Matthes) present a software solution that can be used for a variety of different use cases to support knowledge-intensive processes. The solution is based on a wiki that provides lightweight structuring concepts, e.g. tasks, attributes, roles and types. Best practices knowledge on knowledge-intensive processes can be generalized in work templates for recurring use. 


Paper on a virtual crowdsourcing community for open collaboration in science published

A paper has been accepted for publication at the Americas Conference on Information Systems conference. In the paper entitled "A Virtual Crowdsourcing Community for Open Collaboration in Science Processes", the author team (Felix Michel, Yolanda Gil, Varun Ratnakar and Matheus Hauder) presentsa virtual crowdsourcing community for open collaboration in science processes 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. See [Mi15b]