Abstract
The development of groupware systems can be supported by the perspectives provided by taxonomies categorizing collaboration systems and theoretical approaches from the multidisciplinary field of Computer-Supported Cooperative Work (CSCW). In the last decades, multiple taxonomic schemes were developed with different classification dimensions, but only a few addressed the socio-technical perspective that encompasses the interaction between groups of people and technology in work contexts. Moreover, there is an ambiguity in the use of the categories presented in the literature. Aiming to tackle this vagueness and support the development of future groupware systems aware of social phenomena, we present a comprehensive classification model to interrelate technological requirements with CSCW dimensions of communication, coordination, cooperation, time and space, regulation, awareness, group dynamics, and complementary categories obtained from a taxonomic literature review. © 2012 Springer-Verlag.

Abstract
Solid research depends on systematic, verifiable and repeatable scientometric analysis. However, scientometric analysis is difficult in the current research landscape characterized by the increasing number of publications per year, intersections between research domains, and the diversity of stakeholders involved in research projects. To address this problem, we propose SciCrowd, a hybrid human-AI mixed-initiative system, which supports the collaboration between Artificial Intelligence services and crowdsourcing services. This work discusses the design and evaluation of SciCrowd. The evaluation is focused on attitudes, concerns and intentions towards use. This study contributes a nuanced understanding of the interplay between algorithmic and human tasks in the process of conducting scientometric analysis.

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