Chief Evaluation Office 2022 Summer Fellowship Program

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The Chief Evaluation Office is searching for current, advanced Ph.D. students or recent Ph.D. recipients (in the past two years) to join our office for a paid summer fellowship experience. As a CEO Summer Fellow, you will have the opportunity to gain valuable experience related to your field of study, get exposure to the Department of Labor’s agencies, and complete and present a research project on a topic relevant to your dissertation or on a labor topic determined in collaboration with CEO. Up to five fellows will be competitively selected to work with CEO’s evaluation research or data analytics teams. Fellows are expected to work full-time (40 hours a week), fully remotely, for ten weeks, from June 13, 2022, to August 12, 2022. Applications close on March 28, 2022, at 12:00 pm ET.

CEO has contracted with Manhattan Strategy Group to recruit CEO’s Summer Fellows. Learn more about the CEO Summer Fellowship Program, timelines, pay and benefits.

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Background

Summer Fellows will work with one of the following teams within CEO:

  • Evaluation Research
  • Data Analytics

Fellows working within the Evaluation Research side of CEO will have the opportunity to learn more about the department’s program evaluation portfolio, which includes a wide range of studies as well as our behavioral interventions (BI) program and Clearinghouse for Labor Evaluation and Research. As a Fellow, you will complete a research project, such as an analysis of existing data, literature review, or other white paper and also: gain exposure to the work of CEO’s evaluation research staff; plan, develop and coordinate evidence-building research events; and/or help improve CEO’s efforts to translate and communicate research to non-technical audiences. Fellows with a behavioral interventions interest may work primarily with the BI team on projects with DOL offices and agencies to identify promising areas for behavioral interventions, conduct initial analyses to diagnose behavioral barriers and to test behavioral interventions. Ideal Evaluation Research fellows would have advanced training in social science research methods and theories, and a genuine interest in labor issues and program evaluation or behavioral insights. For example, Ph.D. candidates from a broad range of social science backgrounds who are interested in exploring a particular labor topic for their dissertation could be excellent candidates.

Fellows working on the Data Analytics team will have the opportunity to contribute to ongoing, internal DA projects for DOL agencies, gain exposure to public data analytics projects and will also complete a research project during their fellowship. Examples of ongoing projects include collecting hospital price transparency data from individual hospital hospitals’ websites, webscraping Worker Adjustment and Retraining Notification (WARN) data on mass layoffs, and parsing information from collective bargaining agreements on DOL’s own website into data that can be analyzed with statistical software. DA needs additional help with these tasks, particularly from people skilled in web scraping, Python and R coding, and data cleaning and manipulation. Activities could include data quality assessments, web scraping, data merging/wrangling, statistical estimations, hypothesis testing, data visualizations and machine learning. Ideal DA fellows would have substantial training in advanced statistics, experience cleaning and testing raw data, and also a solid theoretical social science background to understand why the tasks they are assigned to are useful. For example, Ph.D. candidates in the social sciences who are interested in building and using innovative datasets for their dissertations could be excellent candidates.

Applications close on March 28th, 2022. Learn more about the CEO Summer Fellowship Program, timelines, pay and benefits.

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