Technological developments in data collection and analysis include the use of geographic information systems (GIS) and imagery analysis, crowdsourcing, and mobile technology (see Box 1). These new ...

Finding the best way to gather customer data, organize it for consistency and then analyze it is often a challenge for modern enterprises.

Most industrial companies began collecting data for specific production improvement initiatives within the past five years. The top 3 business drivers for data collection and analysis are: improvement ...

Often, a manual approach involves time, resources, creation of job analysis questions, summarizing the data, availability of employees, travel, schedules, etc. Having a systematic process and ...

SM seeks qualitative and quantitative contributions that address the full range of methodological problems confronted by empirical research in the social sciences, including conceptualization, data ...

Chad M. Topaz and Tyrone Bass suggest five steps researchers can take to make more inclusive choices when collecting and analyzing data.

Data and statistics are making their way onto every avenue of the workforce. For anyone interested in crunching numbers, there are hundreds of programming languages, tools and methods for ...

This Collection welcomes primary research articles describing advances in computational and statistical methodology for ecology and evolution.

This Collection welcomes primary research articles describing advances in computational and statistical methodology for ecology and evolution.