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Collecting primary data on households’ food security can be time-consuming and costly. Remote data collection is a flexible way to collect food security information and it allows for frequent food security monitoring in unstable areas without putting the enumerators at risk. This course aims to give an understanding of what remote food security monitoring entails and how to implement a remote food security monitoring.

Assessment

This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.

Certification

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Course Credit: Leiden University and mVAM

Course Curriculum

module: 01
Country case study: Vamistan 00:06:00
Introduction to mobile Vulnerability Analysis and Mapping (mVAM) 00:09:00
Remote data collection life cycle 00:09:00
Introduction to Remote Data Collection Tools 00:05:00
module: 02
Questionnaire Design 00:06:00
Sampling for Remote Data Collection 00:07:00
Introduction to Data Management 00:05:00
Sharing and Reporting with Open Data 00:07:00
module: 03
Advantages and limitations of remote surveys 00:05:00
Introduction to Computer Assisted Telephone Interviewing (CATI) 00:08:00
Introduction to SMS Surveys 00:06:00
Introduction to Interactive Voice Response (IVR) 00:11:00
module: 04
Communicating your project 00:11:00
Two-way communication systems 00:11:00
Piloting the survey lessons from mVAM experiences 00:13:00
Collecting Nutrition Data 00:12:00
Piloting the survey lessons from mVAM experiences 00:13:00
Assessment
Submit Your Assignment 00:00:00
Certification 00:00:00

Course Reviews

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