Ryan Callahan

Ryan Callahan

Senior Survey Researcher
  • Employment and training programs
  • Survey data collection
  • Questionnaire design and Office of Management and Budget clearance
  • Survey methodology
  • Interviewer training 
Focus Areas
  • Health
  • Disability
  • Medicare
  • Employment
  • Training and Re-employment
  • Human Services
About Ryan

Ryan Callahan has expertise in developing survey methodology and managing large-scale multimode data collection for employment, disability, and health projects.

Callahan serves as the survey director for the National Beneficiary Survey for the Social Security Administration. This large, nationally representative survey gathers critical information on the employment, disabilities, and health of Social Security Disability Insurance and Supplemental Security Income beneficiaries. He also serves as survey director on prominent studies for the U.S. Department of Labor (DOL), including a random assignment demonstration program to examine the effectiveness of self-employment training and an implementation study of the Workforce Innovation and Opportunity Act. Callahan directed the survey data collection from study participants for the national-scale Workforce Investment Act Gold Standard Evaluation for DOL.

Before joining Mathematica in 2010, Ryan worked as a research manager, overseeing data collection and evaluations for federal and private clients. He has presented his work at conferences including those of the American Association for Public Opinion Research and the Midwest Association for Public Opinion Research. He holds a master’s degree in economics from Virginia Tech.

Key Projects
  • graphic with word survey under a magnifying glass
    National Beneficiary Survey

    This survey collects data on the employment-related activities of working-age SSDI and SSI beneficiaries. Mathematica has been conducting the NBS since its inception in 2004 and we will be implementing additional survey rounds in 2015, 2017, and 2019.

  • female entrepreneur Hispanic
    Self-Employment Training Demonstration

    This demonstration is designed to test a new model for assisting unemployed and underemployed workers with limited opportunities in their traditional fields, who are interested in starting businesses in their fields of expertise.