調查研究專題中心    【大數據與資料科學】系列  專題演講

講題：大數據與人工智慧方法在行為與社會科學的應用趨勢
Title: Applications and Trends of Big-data and AI Methods in Behavioral and Social Sciences

講者：黃從仁助理教授（國立臺灣大學心理系）

時間：2020 / 9 / 17 （週四）下午 2 點

地點：中研院  人社中心  第一會議室

摘要：
本演講將回顧過去十年間，主要以小樣本、結構化資料為主的行為與社會科學研究為何開始擁抱大樣本、非結構化的資料後，又逐漸回歸到細緻的小樣本研究；同時，用來分析資料的統計模型，為何從簡單的解釋性模型逐漸過渡為複雜的預測性模型後，而又轉向解釋性模型？雖然這些大數據的搜集與分析理論上將使得研究結論因為樣本多樣性與統計檢定力俱足而能有好的可重現性，這些方法實際上對於行為與社會科學的影響卻是將研究從低可重現性提升到高可重現性後，又使其陷入低可重現性的困境。面對這些大數據與人工智慧的變革與衝擊，研究者們該如何因應？
The trends of applying big-data and AI methods in behavioral and social sciences in the 2010s are, to some extent, circular—the rise of big-data and AI methods leads to a re-appreciation of traditional research methods and subsequent development of hybrid approaches. To elaborate on the circularity, this talk will review the relevant literature published in the past decade from the perspectives of data collection, data analysis, and study reproducibility. Specifically, in terms of data collection, behavioral and social sciences were grounded in small data, grew an interest in big data for their potential of testing universality of research findings, and then turned back to collect relatively quality-assured small data. In terms of data analysis, behavioral and social scientists developed theories predominantly using explanatory statistical models, being attracted to but at the same time felt perplexed by highly accurate predictive models that were based on machine learning, and then finally found ways of making predictive models explainable. In terms of study reproducibility, although collection and analysis of big data held the promise of improving sample size, sample diversity, and thus the reproducibility of results and inferences in behavioral and social
sciences, ironically the study methods themselves were becoming irreproducible because the rapidly evolving cyber environments from which research data were gathered might have irreversibly changed, or
the technical threshold of repeating the same analysis was insurmountably high to most researchers in the field. How can behavioral and social scientists respond to the aforementioned changes and impacts brought about by big-data and AI methods?

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主辦單位：中研院人社中心調查研究專題中心

本案聯絡人：謝芮桓小姐
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