In a world with more questions than answers, and plenty of people but not as many jobs, Araam Se seeks to narrow these gaps.
The Problem
Data Scarcity at the Micro Level
Researchers across various fields, including economics, epidemiology, social work, and policymaking, often require micro-level data for their studies. This data provides crucial insights into the lives and experiences of people in specific locations, such as villages, households, or communities within a shared geographic feature. However, obtaining this data is a significant challenge. Public data sources typically only offer information at broader levels like national or regional statistics; meanwhile, private data collection efforts are often scarce or non-existent in developing regions.
Limited Employment Opportunities for Locals
Many people in developing regions struggle to find work outside of traditional sectors like agriculture. This lack of opportunity often leads to migration towards urban areas, where they face potential exploitation in the informal job market, and to foreign states/nations, where they face linguistic, cultural, and social barriers that can often put major strains on economic mobility.
Combined Impact
These two challenges are interconnected. The lack of accessible micro-level data hinders research efforts that could potentially improve the lives of people in these regions. At the same time, the people in these regions often lack access to employment opportunities that could empower them and contribute to their communities. This situation creates a cycle of limited data and limited opportunities.
The Solution
Araam Se bridges the gap between researchers needing micro-level data in developing regions and those in developing regions seeking work.
Researchers: Access a qualified pool of local enumerators through detailed project descriptions and multilingual support.
Enumerators: Find paid data collection work, build skills, and potentially collaborate with friends/family on team projects.
Araam Se facilitates a streamlined matching process and ensures trust through a rating system. This solution contributes to improved research outcomes, empowers young people, and fosters community-driven data collection.