Getting Big Data: Social Scientists Must Strive To Be Autonomous From Corporate Charity - David Stillwell, #SciData Keynote Talk

David Stillwell delivers the third keynote talk at Better Science through Better Data 2019 (#SciData19) - his talk is entitled 'Getting Big Data: Social Scientists Must Strive To Be Autonomous From Corporate Charity'. The video recording, presentation slides and live scribe illustrations are included.<br>David is a Lecturer in Big Data Analytics and Quantitative Social Science at Cambridge University’s Judge Business School. David's research uses big data to understand psychology. He has published papers using social media data from millions of consenting individuals to show that the computer can predict a user's personality as accurately as their spouse can. This research has important public policy implications. How should consumers' data be used to target them? Should regulators step in, and if so how? David has spoken at workshops at the EU Parliament and to UK government regulators.<br>David has also published research using various big data sources such as from credit card data and textual data to show that spending money on products that match one's personality leads to greater life satisfaction, that people tend to date others whose personality is similar, and that people who swear seem to be more honest.<br><br>

戴维·斯蒂特维尔（David Stillwell）在2019年“以优质数据赋能科学发展”（Better Science through Better Data 2019，#SciData19）大会上发表第三场主旨演讲，主题为《获取大数据：社会科学家必须力争摆脱对企业慈善资助的依赖》。本次分享包含演讲录像、演示幻灯片及现场速记插画。
戴维是剑桥大学贾奇商学院大数据分析（Big Data Analytics）与定量社会科学（Quantitative Social Science）讲师。其研究以大数据为工具探索心理学议题：曾基于数百万知情用户的社交媒体数据发表学术论文，证实计算机可像用户配偶一样精准预测其人格特质。该研究具备重要的公共政策价值：消费者的数据应如何被用于精准营销？监管者是否应当介入，若需介入又该采取何种方式？戴维曾在欧盟议会（EU Parliament）的研讨会及英国政府监管机构发表演讲。
此外，戴维还依托信用卡数据、文本数据等多种大数据源开展研究，证实与自身人格匹配的商品消费可提升生活满意度，人们更倾向于与人格相似的对象建立恋爱关系，且使用咒骂词汇的人群往往更为诚实。