Formation of Data Science Teams based on Scenario Characteristics

Author(s):  
Holly A. H. Handley ◽  
Candace Eshelman-Haynes

The objective of this research was to identify a set of attributes to characterize data science scenarios to assists in the formation of an accompanying data science team. The six scenario characteristics were developed in consultation with a Subject Matter Expert (SME) to identify the important aspects of a data science endeavor. Concurrently, a generalizable role by task matrix was developed that captures the high-level data science functions and potential team member roles. This matrix was based on the NATO data science process function definitions, linked to the U.S. Department of Labor social science work activities, and data science role definitions. The mapping of the characteristics to the role by task matrix results in guidelines for forming a data science team; an example scenario with its characteristics and proposed team design is described. This work suggests methods to customize team information for specific data science needs based on scenario attributes.

2017 ◽  
Vol 17 (167) ◽  
Author(s):  
Yasser Abdih ◽  
Stephan Danninger

The U.S. labor share of income has been on a secular downward trajectory since the beginning of the new millennium. Using data that are disaggregated across both state and industry, we show the decline in the labor share is broad-based but the extent of the fall varies greatly. Exploiting a new data set on the task characteristics of occupations, the U.S. input-output tables, and the Current Population Survey, we find that in addition to changes in labor institutions, technological change and different forms of trade integration lowered the labor share. In particular, the fall was largest, on average, in industries that saw: a high initial intensity of “routinizable” occupations; steep declines in unionization; a high level of competition from imports; and a high intensity of foreign input usage. Quantitatively, we find that the bulk of the effect comes from changes in technology that are linked to the automation of routine tasks, followed by trade globalization.


Sign in / Sign up

Export Citation Format

Share Document