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.
Related Projects for
Project IMPROVE: Improving Program Outcomes Via Evidence-Based Technical AssistanceNov 29, 2016
Improving service delivery for clients, increasing efficiency, and minimizing costs are key goals for TANF programs. In recent years, evidence, evaluation, and program analytics have helped harness the power of evidence and data to improve program outcomes.
Behavioral Interventions for Labor-Related ProgramsApr 26, 2016
The U.S. Department of Labor is collaborating with Mathematica and ideas42 to apply behavioral science principles to selected programs. Studies suggest that relatively modest changes to program materials, forms, or procedures can generate substantial improvements in program outcomes and performance.
Stay-at-Work/Return-to-Work Policy Collaborative—S@W/R2WApr 21, 2016
The Office of Disability Employment Policy has a strong interest in advancing policies and programs that promote positive stay-at-work/return-to-work (SAW/RTW) outcomes for workers who experience a chronic illness, disability, or medical condition.
Individual Training Accounts: Testing Models of Paying for Job TrainingDec 24, 2015
We conducted the most comprehensive study to date of the long-term impacts of ITA models. Nearly 8,000 job seekers were randomly assigned to one of three models, followed in eight local workforce investment areas, and tracked six to eight years after they were offered training.
Feasibility and Conduct of an Implementation and Impact Evaluation to Inform High Quality Data-Driven Instruction (DDI)Nov 12, 2015
Mathematica is conducting an experimental impact evaluation of the effects of data-driven instruction (DDI) on student achievement. This involves the implementation of high quality DDI professional development and estimating its effects on student achievement.