Panama's science agency SENACYT runs Technovation Girls Panamá, where 200–270+ girls aged 8–18 build AI-powered apps each year; in 2025 the country qualified two teams for the global finals for the first time in the programme's history.
270+ girls
Participants, fourth edition (2026)
44-50 mentors
Volunteer mentors per cohort
2 teams
Global finalist teams (first time) (2025)
Details
Maturity
Scaling
Promoter
Secretaría Nacional de Ciencia, Tecnología e Innovación (SENACYT) / Technovation
Period
2022–2026
Keywords
AI literacy, gender equality, youth entrepreneurship, STEM education
Context
SENACYT is Panama's national secretariat of science, technology and innovation, and serves as the country's official ambassador for Technovation Girls, the global technology-entrepreneurship competition for girls aged 8-18.
Objectives
Enable teams of girls to build mobile or web apps, often incorporating AI features, that address community problems in education, health, environment and sustainability.
Activities
Each year, teams spend several months building apps, mentored by dozens of volunteers (44-50 per cohort). The programme has grown from roughly 200 participants to more than 270 in its fourth edition (2026).
Results
In the 2025 season, Panama qualified two teams to the Technovation Girls global finals for the first time in the programme's history: Teen4STEAM, an AI-tutoring STEAM platform, and The Worker Bees.
Conclusions
The available evidence is participation- and output-based (project counts, competition advancement) rather than rigorous pre/post learning assessment, and no published data-protection or AI-ethics framework specific to the programme was found.
Implementation
Indicative cost
Medium (€50k–€500k) — Relies on government agency staff time and a volunteer mentor network; no public budget figure found.
Time to results
Medium (1–3 years) — Multi-month team project cycle each year; fourth consecutive annual edition by 2026.
Staffing & skills
SENACYT (national science/technology secretariat), programme host/ambassador, 44-50 volunteer mentors per cohort, Technovation global organisation
Conditions for success
Government agency acting as official national ambassador for an established global competition
Sustained volunteer mentor network
Multi-month team-based app-building format
Common failure modes
Evidence is participation/output-based rather than pre/post learning assessment
No published AI-ethics or data-protection framework specific to the programme
Commonly funded by
National / regional programmes
Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.
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Data sources
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