2023-2024 High School Big Data Challenge: Leveraging Generative AI and Data Cybersecurity to Conserve and Foster Local Biodiversity

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Abstract

The STEM Fellowship High School Big Data Challenge provides students with the unique opportunity of Open Data inquiry into one of the UN Sustainable Development Goals and experiential learning of fundamentals of data analysis – an essential skill set for a young researcher in the digital age. This year, students explore Generative AI and Data Cybersecurity to Conserve and Foster Local Biodiversity and to suggest their own evidence-based solutions following the principles of Open Science. They investigated different topics, ranging from Enhancing Forest Fire Predictions with Sequential Models for Ecosystem Preservation and Public Safety to Leveraging Semantic Segmentation to Perform Wildfire Prediction. We designed an interdisciplinary and agile educational environment, and in-depth learning modules for students as a means of bridging the gap between traditional high school courseware and digital reality and computational science. Students learned how to uncover hidden patterns and trends in structured and unstructured data using a range of data analytics tools and programming languages. Python, R, LaTeX, and machine learning were some of the tools the students learned and used. On behalf of the STEM Fellowship, we extend our sincere congratulations to all students who participated in the challenge, and wish them the best for their future endeavours. We want to express our appreciation to all the mentors and volunteers. This program would not be possible without patronage of CC UNESCO and generous support of our sponsors: RBC Future Launch, Let’s Talk Science, CISCO Networking Academy, Canadian Science Publishing, Schulich Foundation, SciNet at University of Toronto, and the University of Calgary Hunter Hub for Entrepreneurial Thinking. We were privileged to witness first-hand the analytical capabilities of the data-native generation of students, and we are confident they will demonstrate excellence throughout their academic and professional careers.
2023-2024 年高中大数据挑战赛:利用生成式人工智能和数据网络安全保护和培育当地生物多样性
STEM Fellowship 高中大数据挑战赛为学生提供了一个独特的机会,让他们对联合国可持续发展目标之一进行开放数据探究,并体验性地学习数据分析的基础知识--这是数字时代年轻研究人员的一套基本技能。今年,学生们探索了生成式人工智能和数据网络安全,以保护和促进当地的生物多样性,并按照开放科学的原则提出了自己的循证解决方案。他们研究了不同的课题,从利用序列模型加强森林火灾预测以保护生态系统和公共安全,到利用语义分割进行野火预测。我们为学生设计了一个跨学科、灵活的教育环境和深入的学习模块,以此来缩小传统高中课件与数字现实和计算科学之间的差距。学生们学习如何使用一系列数据分析工具和编程语言,从结构化和非结构化数据中发现隐藏的模式和趋势。学生们学习和使用的工具包括 Python、R、LaTeX 和机器学习。我们代表 STEM 联谊会向所有参加挑战赛的学生表示衷心的祝贺,并祝愿他们在未来的道路上一帆风顺。我们要向所有导师和志愿者表示感谢。如果没有教科文组织基督教协进会的赞助和我们赞助商的慷慨支持,这项计划是不可能实现的:RBC Future Launch、Let's Talk Science、CISCO Networking Academy、Canadian Science Publishing、Schulich Foundation、多伦多大学科学网(SciNet)和卡尔加里大学亨特创业思维中心(University of Calgary Hunter Hub for Entrepreneurial Thinking)。我们有幸亲眼目睹了数据原生一代学生的分析能力,我们相信他们将在整个学术和职业生涯中展现出卓越的表现。
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