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Alberto Migliore

Alberto Migliore is a Research Associate at the Institute for Community Inclusion. Alberto’s research focuses on supporting employment consultants in their work with job seekers with intellectual disabilities, autism, and other developmental disabilities. His expertise includes descriptive, correlation, and experimental research within the context of implementation science. Earlier in his career he co-founded a social cooperative where he worked as a direct support professional with adults with disabilities.

Email: alberto.migliore@umb.edu
Phone: 617-287-4306

BRINGING EMPLOYMENT FIRST TO SCALE: Assisting Job Seekers with Intellectual and Developmental Disabilities: A Guide for Employment Consultants

The literature about effective support practices for assisting job seekers with disabilities is extensive. However, employment consultants do not always implement these practices consistently. This suggests that there is a need for articulating these practices into a clearer, more easily communicated support guide. This brief provides a checklist of support activities, organized around five key elements: 1. Building trust; 2. Getting to know the job seeker; 3. Addressing supports planning; 4. Finding tasks/jobs; 5. Providing support after hire.

Manuscript: Using data-enabled performance feedback and guidance to assist employment consultants in their work with job seekers: An experimental study

The success of job seekers with disabilities in achieving their employment goals depends in large part on the quality of employment supports that they receive from employment consultants. This article describes a study testing the effectiveness of data-enabled performance feedback to assist employment consultants in implementing standards of effective employment supports.

Report: Employment and Economic Outcomes by Race, Ethnicity, and Gender for Individuals With and Without Disabilities, 2017

This report describes the employment and economic outcomes for individuals with and without intellectual disabilities in 2017. Results are summarized for the 50 states and the District of Columbia. These data are divided according to race, ethnicity, and gender and are drawn from the American Community Survey, the Rehabilitation Services Administration 911, and the National Core Indicators.
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