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   We consider the future of cloud computing and ask how we might guide it towards a more coherent service we call sky computing. The barriers are more economic than technical, and we propose reciprocal peering as a key enabling step. 

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   Codding, D.; Rolón-Dow, R. (January 2019, 40th Ethnography in Education Research Forum)

   Despite recent efforts to increase diversity, female and racially minoritized youth 1 continue to be underrepresented in science, technology, engineering, and math (STEM). Our pilot study utilizes culturally responsive frameworks to address the underrepresentation of minoritized youth in computer science (CS) by supporting youth at a local Boys & Girls Club as they develop a sense of competence and belonging in the CS field. Culturally responsive frameworks shape our work with students and inform our research process. This paper examines the context of our pilot study and the positionality of our research team, which includes university researchers and community partners. It also provides a reflexive analysis of our community inquiry process and how it has influenced the development and adaptation of our CS programming. 

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   https://doi.org/10.1109/COMPSAC54236.2022.00096  

   Upama, P. (June 2022, IEEE Conference on Computers, Software & Applications)

   Quantum Computing (QC) refers to an emerging paradigm that inherits and builds with the concepts and phenomena of Quantum Mechanic (QM) with the significant potential to unlock a remarkable opportunity to solve complex and computationally intractable problems that scientists could not tackle previously. In recent years, tremendous efforts and progress in QC mark a significant milestone in solving real-world problems much more efficiently than classical computing technology. While considerable progress is being made to move quantum computing in recent years, significant research efforts need to be devoted to move this domain from an idea to a working paradigm. In this paper, we conduct a systematic survey and categorize papers, tools, frameworks, platforms that facilitate quantum computing and analyze them from an application and Quantum Computing perspective. We present quantum Computing Layers, Characteristics of Quantum Computer platforms, Circuit Simulator, Open-source Tools Cirq, TensorFlow Quantum, ProjectQ that allow implementing quantum programs in Python using a powerful and intuitive syntax. Following that, we discuss the current essence, identify open challenges and provide future research direction. We conclude that scores of frameworks, tools and platforms are emerged in the past few years, improvement of currently available facilities would exploit the research activities in the quantum research community. 

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