Statistical Data Analysis

UDA Project in Angola, Luanda

Poverty Classification in the City of Luanda, Angola

UDA Consulting conducted a comprehensive household-level survey in the city of Luanda, which allowed for a more precise classification of households by poverty level. The poverty classifications will be used to calibrate and test an innovative approach to develop exceptionally granular poverty maps using high-resolution satellite imagery and machine-learning techniques. The poverty maps will allow Luanda’s water utility company to provide more effective water services through the better targeting of subsidies to the households that most require such assistance.

Training of Enumerators

Accompanying Research for the Measurement of Social Cohesion

The Education Programme for Syrian Refugees and Host Communities (BilSy), aims to improve access to quality formal and non-formal education opportunities while fostering social cohesion. BILSY´s non-formal education component which is subject of the research on social cohesion implemented by University of Göttingen targets Turkish and Syrian youth and empowers them to implement their own social cohesion projects reaching out to mixed groups of children and youth in their communities.

UDA Training for Enumerators

Monitoring of GIZ Cash-for-Work Projects

The objective of the post-monitoring is twofold: To obtain detailed, specific and representative information regarding the project implementation allowing a possible re-orientation of the project’s approach and to provide more specific data to enrich the actual M&E-system.

Armenia Forest

Armenia forestry-poverty-energy linkages

Armenia’s forests make up less than 10% of its total land area, and have declined by over 10% since 1993.  Despite its limited and diminishing land area, Armenia’s forests provide important services for the local population and for the national economy.

Training

Strengthening Social Cohesion

The MSC Project supports ten Multi-Service Centres (MSCs) in Istanbul, Ankara, Mersin, Hatay, Kilis, Gaziantep and Mardin, on behalf of the German Ministry for Economic Cooperation and Development (BMZ). Once a year, GIZ conducts a round of intensive monitoring to evaluate progress and provide data for reporting. To support this process, GIZ contracted UDA Consulting to support data collection and recording, analysis of qualitative data, improving feedback to NGO partners, and support knowledge management. 

Sample Selection

Impact of ICTs on household welfare in Tanzania

Tanzania has been identified as a potential case study based on a number of factors.This activity will involve a household survey to obtain data on ICT usage amongst the bottom 40% of the population in Tanzania, at home, at school and at work, to develop a study on impact, leapfrogging opportunities and potential barriers to them.

Sample Selection

Data Collection for Refugee and Migrant

The purpose of this assignment is to conduct data collection in the Turkish cities of Istanbul, Gaziantep, and Izmir using feedback surveys designed by Ground Truth that are focused on collecting perceptual data on cash-based assistance programs

Training

Albania Fuelwood Demand Assessment

The objective of the study will be to:

  • i) ascertain the level of demand for fuelwood in Albania,
  • ii) analyze the fuelwood supply chain, processing and combustion to identify opportunities to increase the efficiency of firewood use,
  • iii) estimate the overall balance between the sustainable supply and current demand, and
  • iv) recommend to government any opportunities to improve the supply and efficiency of heating for the rural towns and villages.
Survey in Mersin

Evaluation of the Project on Protection of Refugees

This is a summative end-of-project evaluation aimed at ensuring accountability between IMPR, World Vision and ECHO on the use and outcomes of the funds provided for the specific objective and results agreed upon in the Action design. Emerging lessons shall be identified by the evaluator and discussed between the implementing partners as part of the validation of the evaluation results and follow-up to inform future programming and cooperation.