MobileActive.org

A 2010 Country Governance and Anti-Corruption (CGAC)-funded pilot in Guatemala employed entry-level mobile phones in conjunction with EpiSurveyor, a free, web-based software for data collection, to drastically reduce cost, facilitate accuracy and accelerate implementation of a nationally-representative beneficiary survey of Guatemala‘s conditional cash transfer program.

As such, it illustrates the potential of mobile phone-based data collection to strengthen program monitoring, evaluation and implementation, in particular in remote and marginalized areas highly populated by indigenous peoples.

Over four and a half billion people live in the developing world and require access to services in the financial, agricultural, business, government and healthcare sectors. Due to constraints of the existing infrastructure (power, communications, etc), it is often difficult to deliver these services to remote areas in a timely and efficient manner.

The CAM framework has found success as a flexible platform for quickly developing and deploying high-impact applications for these environments. Many of the applications built with CAM have relied on a model where a field worker with a mobile phone regularly returns from a disconnected environment to one with connectivity. In this connected state, the phone and a centralized server can exchange information and get the collected data backed up on reliable media.

We propose extending CAM’s networking model to enable continual operation in disconnected environments. Using a set of heterogeneous paths made available through social and geographic relationships naturally present among workers, we describe a system for asynchronously routing data in a best-effort manner.