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AI has become an increasingly active area of research over the past few years in healthcare. Nevertheless, not all research advancements are applicable in the field as there are only a few AI solutions that are actually deployed in medical infrastructures or actively used by medical practitioners. This can be due to various reasons as the lack of a human-centered approach for the or non-incorporation of humans in the loop. In this workshop, we aim to address the questions relevant to human-centered AI solutions associated with healthcare by exploring different human-centered approaches for designing AI systems and using image-based datasets for medical diagnosis. We aim to bring together researchers and practitioners in AI, human-computer interaction, healthcare, etc., and expedite the discussions about making usable systems that will be more comprehensible and dependable. Findings from our workshop may serve as ‘terminus a quo’ to significantly improve AI solutions for medical diagnosis.

In this paper, we reflect on the experiences from two Grounded Design (GD) research projects conducted by a multidisciplinary group of researchers between 2019 – 2021 and highlight the methodological foundations and related obstacles for iterative designing. Both projects investigate the phenomena of knowledge sharing and crisis-related learning in business organizations under the GD paradigm, which has been increasingly adopted within the Computer- supported Cooperative Work (CSCW) community. During these projects, the researchers with backgrounds in computer science, business informatics, software engineering, and sociology experienced the need for systematization to transition between the stages of GD. Looking back, we realize that our teams arrived at this systematization by blending the prior knowledge from team members’ original educational backgrounds. While blending practices most likely happens intuitively in interdisciplinary projects, as is often the case of the user-centered design initiatives seen in CSCW and Human-Computer Interaction, little can be found on how this usually happens and its implications. In this paper, we respond to this literature gap by discussing how this blending can facilitate the realization of GD projects and lead to a praxeological information science research perspective, which has ‘methods appropriation’ as key to systematizing abstraction, broader traceability, and flexibility of research methods.

This workshop discusses organizational resilience and resilient infrastructuresby uniting researchers, professionals, and experts from various disciplines. Workplacestudies and organizational settings have always been an integral theme in computer-supported cooperative work (CSCW) research. This workshop hopes to broaden thisresearch horizon by overlapping the multidisciplinary perspectives of resilience and crisis research with human-computer interaction (HCI), CSCW, organizational, and business studies. The COVID-19 pandemic and the subsequent physical and social constraints have been detrimental to the activities of different organizations, especially to small and medium enterprises (SMEs). SMEs must recognize and search for opportunities to adapt to this crisis by developing resilient organizational infrastructures. These adaptations can be crucial to overcoming the current disruptions challenging the continued existence keeping in view the intrinsic diversification of various business and industrial sectors. How organizational infrastructures can be designed to instill resilient properties like adaptivecapacity, self-adjustment and continuity? We intend to focus on bringing this discussion under the umbrella of CSCW to explore the potentials of collaboration and cooperative work in organizational infrastructure. Through this workshop, we offer research prospects by applying organizational resilience theories to study organizational infrastructure and infrastructuring activities, which can be used for their prospective transformations into resilient infrastructures.

This workshop discusses organizational resilience and resilient infrastructures by uniting researchers, professionals, and experts from various disciplines. Workplace studies and organizational settings have always been an integral theme in computer-supported cooperative work (CSCW) research. This workshop hopes to broaden this research horizon by overlapping the multidisciplinary perspectives of resilience and crisis research with human-computer interaction (HCI), CSCW, organizational, and business studies. The COVID-19 pandemic and the subsequent physical and social constraints have been detrimental to the activities of different organizations, especially to small and medium enterprises (SMEs). SMEs must recognize and search for opportunities to adapt to this crisis by developing resilient organizational infrastructures. These adaptations can be crucial to overcoming the current disruptions challenging the continued existence keeping in view the intrinsic diversification of various business and industrial sectors. How organizational infrastructures can be designed to instill resilient properties like adaptive capacity, self-adjustment and continuity? We intend to focus on bringing this discussion under the umbrella of CSCW to explore the potentials of collaboration and cooperative work in organizational infrastructure. Through this workshop, we offer research prospects by applying organizational resilience theories to study organizational infrastructure and infrastructuring activities, which can be used for their prospective transformations into resilient infrastructures.

In this modern age of technology advancement, the computers have played a pivotal role in bringing a revolution to all the fields including teaching and learning. Learning a new programming language is not an easy task as beginners often face problems in understanding the syntax, semantics and logic of the new language. Books are not sufficient to clear concepts and some alternate methods of learning are required. As Computer Aided Learning Software (CALS) has proven to improve the teaching and learning process, therefore, we propose software, “Programming Teaching Aid”, which facilitates teachers as well as self-learners to learn a new language. It has an easy to use graphical user interface (GUI) which helps the user in understanding a pre-written code to be learnt or understood. The language being focused is C++. The proposed software truly supports the pedagogical methodologies. The use of this software will make the learning of C++ language more effective and instill self-study skills among students.