This poll is the third of a series of polls that will be conducted to provide reliable data and analysis on peace, security, justice and reconstruction in the Democratic Republic of the Congo. The project is a joint initiative of the Harvard Humanitarian Initiative (HHI) and the United Nations Development Programme (UNDP), in collaboration with MONUSCO Civil Affairs. HHI is responsible for the data collection, and independent analysis, and reporting of the results, in collaboration with partners at the Université Libre des Pays des Grands Lacs, Université Catholique de Bukavu, and Université de Bunia.

The results can be read in French here. 

This poll is the second of a series of polls that will be conducted to provide reliable data and analysis on peace, security, justice and reconstruction in the Democratic Republic of the Congo. The project is a joint initiative of the Harvard Humanitarian Initiative (HHI) and the United Nations Development Programme (UNDP), in collaboration with MONUSCO Civil Affairs. HHI is responsible for the data collection, and independent analysis, and reporting of the results, in collaboration with partners at the Université Libre des Pays des Grands Lacs, Université Catholique de Bukavu, and Université de Bunia.

Please note that this report is in French.

This poll is the first of a series of polls that will be conducted to provide reliable data and analysis on peace, security, justice and reconstruction in the Democratic Republic of the Congo. The project is a joint initiative of the Harvard Humanitarian Initiative (HHI) and the United Nations Development Programme (UNDP), in collaboration with MONUSCO Civil Affairs. HHI is responsible for the data collection, and independent analysis, and reporting of the results, in collaboration with partners at the Université Libre des Pays des Grands Lacs, Université Catholique de Bukavu, and Université de Bunia.

This paper examines the role of mixed and multi-level methods datasets used to inform evaluations of transitional justice mechanisms. The Colombia reparation program for victims of war is used to illustrate how a convergent design involving multiple datasets can be used to evaluate the effectiveness of a complex transitional justice mechanism. This was achieved through a unique combination of (1) macro-level analysis enabled by a global dataset of transitional justice mechanisms, in this case the reparations data gathered by the Transitional Justice Research Collaborative, (2) meso-level data gathered at the organizational level on the Unidad para las Victimas (Victims Unit), the organization in charge of implementing the reparations program and overseeing the domestic database of victims registered in the reparations program, and (3) micro-level population- based perception datasets on the Colombian reparations program collected in the Peacebuilding Data database. The methods used to define measures, access existing data, and assemble new datasets are discussed, as are some of the challenges faced by the inter-disciplinary team. The results illustrate how the use of global, domestic, and micro- level datasets together yields high quality data, with multiple perspectives permitting the use of innovative evaluation methods and the development of important findings and recommendations for transitional justice mechanisms.

The current outbreak of Ebola in eastern DR Congo, beginning in 2018, emerged in a complex and violent political and security environment. Community-level prevention and outbreak control measures appear to be dependent on public trust in relevant authorities and information, but little scholarship has explored these issues. We aimed to investigate the role of trust and misinformation on individual preventive behaviours during an outbreak of Ebola virus disease (EVD).

This report provides the summative results from the three-year external impact evaluation of the Disasters and Emergencies Preparedness Programme (DEPP) conducted by a team at the Harvard Humanitarian Initiative (HHI). The DEPP was a £40 million programme funded by the Department for International Development (DFID) that aimed to strengthen skills and capacity and improve the quality and speed of humanitarian response in countries that are at risk of natural disasters or emergencies.

This document provides the annexes of the report. 

This report provides the summative results from the three-year external impact evaluation of the Disasters and Emergencies Preparedness Programme (DEPP) conducted by a team at the Harvard Humanitarian Initiative (HHI). The DEPP was a £40 million programme funded by the Department for International Development (DFID) that aimed to strengthen skills and capacity and improve the quality and speed of humanitarian response in countries that are at risk of natural disasters or emergencies.