Big Data, Innovations and New Business Models

大数据、创新和新商业模式

• 批准号: EP/K039830/1
• 负责人: Tobias Preis
• 金额: $ 88.76万
• 依托单位: University of Warwick
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FK039830%2F1
• 关键词: Big; Data; Innovations; New; Business

Decision-making is the essence of management. Mammoth amounts of data are being generated through society's interactions with technology, documenting stages of collective human decision making on a scale previously impossible to achieve. Such digital traces of individuals create new scientific and commercial opportunities in the digital economy. The goal of this project is to explore the possibility to make use of massive new data sources capturing online information streams that can provide insight into large-scale trends and decision-making.The project will take a two-pronged approach. Firstly, we will develop an open Big Data platform that mines, merges and models publicly available Internet data on human activity to explore relationships between these online information flows and real world processes. Our cross disciplinary and cross institutional efforts will focus on core markets including pharmaceuticals, banking, healthcare and telecoms, in which insight into aggregated behaviour of their users and customers has the potential to make a huge impact on a company's competiveness. Our open Big Data platform will provide the possibility to integrate external corporate data streams and relate these to online information flow, using standard methods including correlation analyses, as well as newly developed methods inspired by complexity science.Secondly, we will form a highly interdisciplinary think tank that aims to realise substantial potential synergies between the two partner institutions, Warwick Business School and University College London. We will reach out to leading experts and interested stakeholders in academia and private sector to explore and develop case studies of new data driven business models, building on our Big Data platform.

决策是管理的本质。通过社会与技术的互动，产生了猛犸的数据，记录了人类集体决策的各个阶段，其规模在以前是不可能实现的。个人的这种数字痕迹在数字经济中创造了新的科学和商业机会。该项目的目标是探索利用大规模新数据源获取在线信息流的可能性，这些信息流可以提供对大规模趋势和决策的洞察力。该项目将采取双管齐下的方法。首先，我们将开发一个开放的大数据平台，挖掘、合并和建模关于人类活动的公开互联网数据，以探索这些在线信息流与真实的世界进程之间的关系。我们的跨学科和跨机构工作将专注于核心市场，包括制药，银行，医疗保健和电信，在这些市场中，对用户和客户的聚合行为的洞察有可能对公司的竞争力产生巨大影响。我们的开放式大数据平台将提供整合外部企业数据流并将其与在线信息流相关联的可能性，使用标准方法，包括相关性分析，以及受复杂性科学启发的新开发方法。其次，我们将组建一个高度跨学科的智库，旨在实现两个合作机构之间的巨大潜在协同效应，沃里克商学院和伦敦大学学院。我们将与学术界和私营部门的领先专家和感兴趣的利益相关者接触，以我们的大数据平台为基础，探索和开发新的数据驱动商业模式的案例研究。

项目成果

Supplementary Material from Using deep learning to quantify the beauty of outdoor places

使用深度学习量化户外场所之美的补充材料

• DOI: 10.6084/m9.figshare.5171917
• 发表时间: 2017
• 作者: Chanuki Illushka Seresinhe

Modelling human mobility patterns using photographic data shared online.

• DOI: 10.1098/rsos.150046
• 发表时间: 2015-08
• 期刊: Royal Society open science
• 影响因子: 3.5
• 作者: Barchiesi D;Preis T;Bishop S;Moat HS
• 通讯作者: Moat HS

Consciousness Explored

意识探索

• DOI: 10.5406/amerjpsyc.132.3.0374
• 发表时间: 2019
• 期刊: The American Journal of Psychology
• 作者: Chater N

Quantifying Stock Return Distributions in Financial Markets.

量化金融市场中的股票收益分配。

• DOI: 10.1371/journal.pone.0135600
• 发表时间: 2015
• 期刊: PloS one
• 影响因子: 3.7
• 作者: Botta F;Moat HS;Stanley HE;Preis T
• 通讯作者: Preis T

Tracking Protests Using Geotagged Flickr Photographs.

• DOI: 10.1371/journal.pone.0150466
• 发表时间: 2016
• 期刊: PloS one
• 影响因子: 3.7
• 作者: Alanyali M;Preis T;Moat HS
• 通讯作者: Moat HS