Journal Guide

Science Journal for Kids is a nonprofit organization incorporated in Texas. It has a 501(c)(3) status from the Internal Revenue Service. All donations to Science Journal for Kids are tax-exempt.

Science Journal for Kids aims to make scientific research discoveries more accessible to the general audience and particularly to children. We do that by digitally publishing kid-friendly adaptations of scientific papers. In addition, Science Journal for Kids will prepare and offer teacher’s aids and resources to enable integration of the scientific literature in a classroom curriculum.
 
Developing Educational Materials for Children
Science Journal for Kids’s primary activity will be selecting published science articles for children and adapting them for children’s education. The materials will be available on the Science Journal for Kids website for teachers, parents, students, and the general public. The steps for developing these materials are outlined below:
 

• Selecting the journal articles. The selected articles must be environmental science research published in peer-reviewed open-access high-impact science journal. The articles should be recent (published within the past year) and cover a variety or topics: pollution, endangered species conservation, climate change etc.
• Text adaptation. The articles are then rewritten in in children-friendly language using common vocabulary, real-world examples and comparisons and funny anecdotes where appropriate.
• Final approval and edits. The draft text is then edited and approved by the scientists who published the original research paper. The finalized text is then edited for aesthetics and readability by creating an appealing layout and adding illustrations.

 
Developing Supplemental Materials for Teachers
Science Journal for Kids will collaborate with experienced science teachers to create teacher’s materials including, but limited to, supplementary teaching aids, slide show presentations, hands-on lab activities, quizzes, and worksheets to accompany each paper. These materials would allow teachers to more easily incorporate the journal articles into a classroom curriculum.
 
Outreach and Distribution
In order to further achieve its goals, Science Journal for Kids will conduct outreach to science teachers and other science and education organizations throughout the United States. The organization will maintain a customer database of teachers interested in incorporating the materials into their classrooms and disseminate the materials as they are developed. The materials will also be available to the general public on the website.

Computational Intelligence and Neuroscience is a forum for the interdisciplinary field of neural computing, neural engineering and artificial intelligence, where neuroscientists, cognitive scientists, engineers, psychologists, physicists, computer scientists, and artificial intelligence investigators among others can publish their work in one periodical that bridges the gap between neuroscience, artificial intelligence and engineering.The journal provides research and review papers at an interdisciplinary level, with the field of intelligent systems for computational neuroscience as its focus. This field includes areas like artificial intelligence, models and computational theories of human cognition, perception and motivation; brain models, artificial neural nets and neural computing. All items relevant to building theoretical and practical systems are within its scope, including contributions in the area of applicable neural networks theory, supervised and unsupervised learning methods, algorithms, architectures, performance measures, applied statistics, software simulations, hardware implementations, benchmarks, system engineering and integration and innovative applications.The journal spans the disciplines of computer science, mathematics, physics, psychology, cognitive science, medicine and neurobiology amongst others. Work on computational intelligence and neuroscience refers to work on theoretical and computational aspects of the development and functioning of the nervous system, which can be at the level of networks of neurons or at the cellular or the sub-cellular level.Topics of the journal include but are not limited to computational, theoretical, experimental, clinical and applied aspects of the following:Neural modeling and neural-computationNeural signal processingBrain-computer interfacingNeuron-electronicsNeurofeedback, neural rehabilitationNeuroinformaticsBrain waves, neuroimaging (fMRI, EEG, MEG, PET, NIR)Neural circuits: artificial and biologicalNeural control and neural system analysisLearning theory (supervised/unsupervised/reinforcement learning)Knowledge based neural networks, probabilistic, spatial, and temporal knowledge representation and reasoningLearning ClassifiersFusion of neural network- fuzzy systems- evolutionary algorithmsBiologically inspired Intelligent agents (architectures, environments, adaptation/ learning and knowledge management)Bayesian networks and probabilistic reasoningSwarm intelligence, Ant colony optimization, Multi-agent systemsComputational aspects of perceptual systems; Perception of different (visual, auditory and tactile) modalities; Perception and selective attentionLong-term, Short-term, and Working memoryMulti-level (neural, psychological, computational) analysis of cognitive phenomenaIntegrated theories of natural and artificial cognitive systemsInformation-theoretic, control-theoretic, and decision-theoretic approaches to neuroscienceMulti-disciplinary computational approaches to the study of creativity, learning, knowledge and inference, emotion and motivation, awareness and consciousness, perception and action, decision making and action, etc.Cognitive systems from artificial life, dynamical systems, complex systems perspectivesNeurobiologically inspired evolutionary systemsFeatured contributions will fall into original research papers or review articles. Articles are expected to be high quality contributions representing new and significant research, developments or applications of practical use and value. Decisions will be made based on originality, technical soundness, clarity of exposition, scientific contribution and multidisciplinary impact of the article.