; (ii) employer-based training practices in those industries and occupations; (iii) the frequency with which employers provide worker training to address skills needs and react to changes in the labor market; and (iv) projected job losses; (B) considerations impacting, and strategies to improve data collection with respect to, the workforce in in-demand industry sectors and occupations in the United States, such as advanced manufacturing, information technology, and health care, including considerations and data collection strategies concerning— (i) industry sectors and occupations that may emerge or become in-demand industry sectors or occupations as a result of automation, including— (I) the geographical location of those industry sectors and occupations; (II) the average annual wages of those occupations; and (III) demographic data on the race, gender, and age of workers in those occupations; (ii) the skills and education needed to fill the positions in those industries; (iii) employer-based training practices in those industry sectors; and (iv) projected job gains; (C) barriers to, and opportunities for, retraining workers in industries that have a high likelihood of being impacted by automation; (D) the impact of the geographical location of workers and their access to transportation on the ability of the workers to access job training and related higher-skilled positions; (E) the impact of workers’ access to other benefits and services, including child care, paid sick leave, paid family and medical leave, or a retirement plan, on the ability of the workers to access job training and related higher-skilled positions