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Good practice Imported

Justice Through Code – Tech Career Pathways for the Formerly Incarcerated

United States of America · New York · See the United States of America profile · See the New York profile

Evidence: Descriptive / self-reported Top 82% 52/100 · Ask Evidence Copilot about this practice

Justice Through Code, run by Columbia University since 2020, gives formerly incarcerated adults a free semester of Python and career coaching; over 80% of the first cohort's job-seekers were placed within six months, and it has since grown to three program tracks.

>80 %
Job/internship placement rate within six months, first cohort (2020)

Details

Maturity
Scaling
Promoter
Columbia University Center for Justice & Tamer Center for Social Enterprise
Period
2020–present
Keywords
coding education, workforce reentry, criminal justice, higher education, tech employment

Context

In the United States, roughly 5 million people are formerly incarcerated, about 27% of them unemployed - nearly five times the general population's rate - with a median income of under $11,000 three years after release, and 77% of released individuals are rearrested within five years (Columbia Center for Justice; TechCrunch, 2021).

Objectives

Justice Through Code (JTC), launched in spring 2020 by Columbia University's Center for Justice together with the Tamer Center for Social Enterprise at Columbia Business School, is a free, competitive, semester-long programme teaching Python and computer-science fundamentals to formerly incarcerated adults, alongside career coaching, public-speaking practice, negotiation skills and resume writing.

Activities

Amazon Web Services supplies laptops to participants who need them; Google, Slack and Coursera staff contribute as guest instructors; the nonprofit Emergent Works helps place graduates in internships.

Results

The first cohort in 2020 enrolled just over 30 students; of those seeking jobs or internships afterward, more than 80% were placed in relevant roles within six months (TechCrunch, ABC7 New York). By its third cohort the programme aimed to enroll up to 60 students, and by 2024 it had expanded into three parallel tracks - Foundation, Tech Pathways and Flagship - to serve participants at different stages of readiness.

Conclusions

The evidence base has real limits: the widely cited 80% placement figure comes from a single, roughly 30-person first cohort with no control group and no independently published follow-up on later cohorts' outcomes or retention. At a few dozen participants per cohort, JTC's scale remains a small fraction of the roughly 5-million-person population it aims to serve nationally.

Implementation

Indicative cost
Low (< €50k) — Free to participants; costs covered by Columbia University with in-kind device donations from Amazon Web Services and volunteer instruction from corporate partners.
Time to results
Medium (1–3 years) — Semester-long programme running continuously since spring 2020, expanded to three concurrent tracks by 2024.
Staffing & skills
Columbia University Center for Justice and Tamer Center for Social Enterprise instructors and coordinators, Guest instructors from Google, Slack and Coursera, Emergent Works (nonprofit) supporting internship placement

Conditions for success

  • In-kind corporate support (AWS laptops, guest instructors from Google/Slack/Coursera) reduces cost barriers
  • Partnership with a dedicated job-placement nonprofit (Emergent Works)

Common failure modes

  • Sole public outcome figure (80% placement) is drawn from a single small cohort with no control group and no independent verification of later cohorts
  • Cohort sizes of roughly 30-60 remain a small fraction of the ~5 million formerly incarcerated Americans the programme aims to serve

Where it fits

Governance type
university-hosted nonprofit programme with corporate partners
Scale
local/regional (New York)
Income level
high-income (United States)

Commonly funded by

Philanthropic / foundation funding

Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.

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Data sources

Where this practice's information was retrieved from, and when.

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