From Field Data to Decisions: Building Trustworthy Digital MERL Workflows in Bangladesh’s Nutrition Program
Seminario web | En línea
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Organizado por:
International Development Enterprises (iDE)
Sobre el evento
In complex development programs, large-scale data collection does not guarantee timely or actionable decisions. With growing use of AI in evaluation, the challenge is building trust in evidence without sidelining human judgment and over-reliance on automation. This session explores a practical case from Bangladesh’s Transforming Lives Through Nutrition (TLTN) program. We examine a field-to-dashboard MERL workflow that integrates digital data capture, structured quality assurance, service coverage mapping, and transparent governance to ensure data leads to trusted, human-led insights.
Presentador/a
| Nombre | Título | Biografía |
|---|---|---|
| Poresh Moni Das | Technical Specialist - Monitoring, Evaluation, Research & Learning (MERL) | Poresh Moni Das is MERL Specialist at iDE Bangladesh, with over 7 years' experience in M&E systems in humanitarian, nutrition, and market systems development programming. In his role, Poresh helps turn field data into credible analysis, maps, and practical insights for stronger program decisions. |
Moderador/a
| Nombre | Título | Biografía |
|---|---|---|
| Abid ul Huque | Manager - Monitoring, Evaluation, Research & Learning (MERL) | Abid is currently leading the MERL unit at iDE Bangladesh, with over 6 years of experience in designing and implementing MERL frameworks and leading research to support evidence-based decision-making for market strategies in agriculture, nutrition, and resilience-building programs. |