This paper aims to conduct a feasibility study of producing fuel from plastic waste. It is a suggested approach to deal with the huge production of synthetic plastic around the world, so as to avoid its accumulation in landfills and the depletion of resources. Several types of research have addressed the conversion of plastic waste into energy, and in this study the authors focused on using pyrolysis to convert plastic to liquid oil. Accordingly, the volume of the waste was reduced significantly, and the produced liquid oil had a high calorific value in comparison to fossil fuel. The authors managed to develop a profitable business model for a facility producing fuel from plastic waste in Egypt. This project could be a very lucrative business opportunity for investors or venture capitalists interested in investing in green economy. A Business Model Canvas was used as a tool to identify how the different components of the business relate to each other.

Bagasse-based products contribute to solving the plastic pollution problem. This paper presents an alternative by producing bioplastic products that can be manufactured in many forms ranging across different industries such as food packaging, single use tableware, and crafts. The researchers aim to prove the alternative's market variability through conducting a feasibility study of establishing a technological manufacturing plant producing bagasse-based tableware in Egypt. Researchers performed different scenarios aiming to reach the best cost, quality, resources, and profitability of producing bagasse biodegradable tableware in Egypt as a replacement of Styrofoam and validated the base scenarios using "Powersim simulation tool". Practical impact of this researcher is to assist in promoting low-carbon economy solution in addition to producing safe bioplastic products replacing Styrofoam for food packaging and tableware fabrication.

The development of data analytics helps the governorates to identify strategies and procedures to minimize the negative impacts of COVID-19. Several epidemiological models are employed to monitor and understand the spread of diseases and their impacts on countries. This article aims to present the relative risks faced by each country so that response efforts can be more effectively focused during the different phases of the pandemic. It analyses important factors for countries through different simulated modelling. Geographic Information Systems (GIS) mapping was also presented to determine and classify disease transmission susceptibility and analyse disease transmission decisions. Furthermore, this article aims to provide a detailed overview of the possibilities that Artificial Intelligence (AI) and Big Data present when it is coping with the COVID 19 pandemic. It also uses blockchain technology for recording, verifying, and authorizing data when carrying out a series of transactions. AI is a powerful technology that can help tackle the threat of the COVID 19 pandemic by using various techniques, including machine learning and natural language processing.

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