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In parallel and distributed computing environments, task scheduling, where the basic idea is minimizing time loss and maximizing performance, is an absolutely critical component. Scheduling in these environments is NP-hard, so it is important that we continue to search and find the most efficient and effective ways of mapping tasks to processors. One such effective approach is known as Ant Colony Optimization (ACO). This popular optimization technique is inspired by the foraging behavior of ants in their colonies to find the shortest paths between their nests and food sources.
In recent years there has been a resurgence in interest in psychedelic assisted psychotherapy (PAP) [1]. Initial scientific research into the utilization of these compounds were eventually suspended due to concerns related to increasing recreational use of psychedelics and their association with the rise of the “counterculture movement” in the United States [2]. However, the use of psilocybin and other psychedelics have shown promise in the treatment of mental illnesses. The efficacy of this modality of treatment has been demonstrated through clinical trials and other studies in the management of a number of mental illnesses, including some treatment resistant cases [3].
The majority of scientific discoveries remain confined to dissertations and peer review publications where they remain hidden from their possible industrial applications. Given the challenges offered by current global events like environmental pollution, climate change effects, and diseases, the need for more rapid transmission of scientific discoveries from the realm of postgraduate dissertations and research papers to industrial applications is most critical. Hence, the need for a clear road map, allowing the connection of both pure and applied scientific discoveries to their industrial applications is obvious. Of course, for this to be achieved, a clear understanding of the constituent steps of such a process is germane. Hence, this brief workshop aims to map a possible path for achieving the aforementioned central goal, using previous experiences and examples.
The FORECAST Grand Innovation Challenge 2022 (GIC) is to develop a feasible innovation (prototype/product/concept) that will revolutionize the management, protection, and use of water resources in the Caribbean.
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