Bridging the Data Gap

Evaluating an Integrated Digital Infrastructure for the School-to-Work Transition of Disabled Graduates in Indonesia

Presenter: Dimas Muharam

Affiliation: School of Sociology and Social Policy, University of Leeds

Accessibility: presentation.disabilitas.com

The Socio-Economic Paradox

• The Reality: Inclusive education is rising, but formal employment is stagnant.
• Evidence (BPS, 2025): Higher Education Completion rate is 3.1%.
• The Gap: Approximately 70% of employed disabled persons are trapped in the informal sector.
• Analysis: A "leaky pipeline" where qualified talent remains invisible to the formal labor market.

The Problem: Institutional Silos

• Data Fragmentation: Essential information is locked in isolated silos.
• Universities: Possess talent data but lack demand insights.
• Private Sector: Mandated by Law No. 8/2016 but lacks verified talent pools.
• The Consequence: "Policy Blindness" — interventions based on assumptions, not evidence.

Theoretical Framework

• Social Model of Disability: Identifying systemic "informational barriers" rather than individual impairments.
• Realist Evaluation (Pawson & Tilley): The CMO Framework.
• Context: Regulatory landscape & Bureaucratic fragmentation.
• Mechanism: Integrated digital policy instrument (disabilitas.com).
• Outcome: Mitigation of information asymmetry.

The Intervention: disabilitas.com

• The Missing Link: Synchronizing "Supply" with "Demand."
• Key Data Variables: Captured in our data-static.ts architecture:
  • Reasonable Accommodation Requirements.
  • Assistive Technology Proficiency.
  • Functional Workplace Accommodations.

Positionality: Researcher-Led Innovation

• Philosophy: "Nothing About Us Without Us."
• Lived Experience: Architecture informed by first-hand experience with visual impairment and assistive tools.
• The Digital Divide: Addressing the BPS (2025) finding that only 21.50% of disabled Indonesians access the internet.

Methodology & Validation

• Design: Qualitative Case Study with Prototype Validation.
• Engagement: Testing variables with Higher Ed, Corporations, Regulators, and Talent.
• Goal: Establishing a "Common Data Language" for inclusive recruitment.

Conclusion: The Paradigm Shift

• Roadmap: Integration into "Satu Data Indonesia" (National One Data Initiative).
• The Shift: Moving from Medical/Charity models to a Rights-Based, Data-Driven Ecosystem.
• Closing: "Integrated data is a prerequisite for visibility, dignity, and economic justice."