The Science of Prediction

The Committee on The Science of Prediction focuses on analyzeing complex phenomenon in trade, logistics, manufacturing, global strategy, transportation, and construction. Our commitee wil have a heavy Machine Learning / AI component, but also focus extensively on producing qualitative insights from human interactions and larger economic players. Students will learn state of the art data collection techniques, and the sorts of patterns and discrepencies they can pay attention to at the global scale to make meaningful predictions about their environments. Each lecture will focus on a different sector of the economy that we can optimize with meaningful prediction. Students will present their learnings through a final case study, where they will outline data-collection and prediction strategies within a certain environment.
Keywords: AI, Macroeconomics

偷看上帝的底牌：预测科学

该委员会专注于分析贸易、物流、制造业、全球战略、运输和建筑领域的复杂现象。参会代表不仅能够触及大量的机器学习/人工智能组件的学术内容，同时也将实现对人类互动甚至更大经济行为主体的定性见解。参会代表将学习最先进的数据收集技术，以及他们可以在全球范围内关注的各种模式和差异，从而对他们的环境做出有意义的预测；会议过程中将关注到不同的经济领域，并通过预测的方式探索优化路径；最后，各参会代表将会基于特定环境下的数据收集和预测策略进行概述展示。

关键词：人工智能 宏观经济学

Tech-Driven Economic Growth

In this committee, we will examine the economic opportunities and challenges presented by Industry 4.0 technologies from both a global and LMIC perspective. Students will learn the intricacies of navigating governing frameworks such as regulatory and financial structures in specific developing countries. They will be guided through developing a multi-year implementation plan for novel technologies in LMICs, informed by the plans supported in real-world efforts and ongoing global collaborations. Analyzing this current topic will help students gain skills in entrepreneurial strategizing and problem-solving, better preparing them to implement their own economic solutions/structures one day.

Keywords: Emerging Economies, Industry 4.0