相关实验视频
Updated: Mar 29, 2026

06:58
Real-time Tracking of DNA Fragment Separation by Smartphone
Published on: June 1, 2017
15.4K
通过手机元数据预测贫困和财富
Joshua Blumenstock1, Gabriel Cadamuro2, Robert On3
1Information School, University of Washington, Seattle, WA 98195, USA. joshblum@uw.edu.
概括
移动电话数据可以估计发展中国家的社会经济地位和国家财富分布. 这为本地化人口分析提供了传统调查的经济有效替代方案.
科学领域:
- 人口统计
- 社会学
- 数据科学
背景情况:
- 准确的人口数据对于社会和经济政策至关重要.
- 发展中国家往往缺乏足够的大数据来源来进行人口分析.
- 传统的人口普查和调查是昂贵的,而且很少发生.
研究的目的:
- 确定手机使用数据是否可以推断个人的社会经济地位.
- 通过使用手机数据重新构建国家和地区财富分布的可行性.
- 在资源有限的环境中提供 cost-effective 的本地化人口数据收集方法.
主要方法:
- 分析历史手机使用数据以确定与社会经济指标的相关性.
- 开发预测模型以从手机行为中推断个人的社会经济地位.
- 汇总个人预测以重建国家和微区域层面的财富和资产分配.
主要成果:
- 移动电话的使用历史可以准确地预测一个人的社会经济地位.
- 汇总的个人预测成功地重建了国家财富分布.
- 资产分配甚至可以在微区域 (少数家庭) 层面推断出来.
结论:
- 移动电话数据为社会经济地位的推断提供了新且强大的工具.
- 这种方法为数据稀缺地区的人口分析提供了可扩展和负担得起的方法.
- 这些发现对发展中经济体的社会研究和政策有重大影响.
相关概念视频
Applications of Life Tables
416
Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
416
Outliers and Influential Points
6.7K
An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500), while others may indicate that something unusual is happening. Outliers are present far from the least squares line in the vertical direction. They have large "errors," where the "error" or residual is the...
6.7K
Sample Proportion and Population Proportion
7.0K
Collecting samples or responses from an entire population takes significant time and effort, so a researcher collects responses from only a sample of that population. Suppose a study needs to collect information about a specific mobile application. After sample collection, the researcher analyzes the data and discovers that most individuals in the sample use that specific mobile application. The sample proportion measures the number of individuals in a sample who either use or don't use the...
7.0K
Prediction Intervals
3.5K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
3.5K

