© UNHCR/Gordon Welters
Our Work Program
Th JDC leverages partnerships and innovation in its focus on the collection, analysis, and dissemination of primary microdata that enables policymaking and programming. Our work program is structured along five themes; i. Strengthening Data systems, ii. Filling Data Gaps, iii. Filling Data Analysis and Knowledge Gaps, iv. Improving Data Access, and v. Sharing Knowledge. It supports country level engagement to increase the coverage of socioeconomic data on populations affected by forced displacement, as well as global systemic efforts to strengthen norms and standards on statistics that will improve the quality of data collected.
The 2020 work program includes some 40 activities, carefully selected for their contribution toward achieving the JDC’s mission
2020 Work Program Countries
2020 Work Program: Financial Scope
The financial scope of activities in the program amount to USD 13.2 million for 2020. The budget-distribution between the five work streams can be seen in the chart on the right, plus a USD 1 million set-aside for a floating fund to support opportunistic and timely activities during the year.
JDC Operation 2020
© UNHCR/Roger Arnold
Strengthening Data Systems
Implementing UN-EGRIS recommendations
Disseminate and implement the international recommendations of the Expert Group on Refugee and Internally Displaced Persons Statistics (EGRIS) through strengthening capacity of national statistical systems and enhancement of the associated Compilers’ Manual.
Building on and refining IDP statistics
Work with partners to build on and refine the International Recommendations on Internally Displaced Persons Statistics (IRIS) to standardize vulnerability measures, complete the statistical framework, and develop associated tools as needed.
Improving statistics on stateless people
Support the development of international recommendations on statistics on statelessness, and improve statelessness estimates at national, regional, and global levels.
Supporting digital data collection solutions
Support the ongoing development and maintenance of digital data collection tools including Survey Solution and KoBo Toolbox. These open source solutions will be enhanced to improve the quality of data collected in capacity-constrained environments.
Including forcibly displaced persons in SDG indicators
Work with countries and custodian agencies to ensure that affected populations are included in the data production and reporting on priority Sustainable Development Goal indicators, when possible and relevant.
Enhancing forced displacement sensitive data methods
Develop and promote forced displacement-sensitive data methods to enhance comparability and construct validity.
Strengthening UNHCR’s data production and analysis systems
Support UNHCR’s data transformation processes, in particular: (a) standardizing and integrating surveys; (b) enabling UNHCR’s country operations to generate comparable socioeconomic data and analysis on forcibly displaced persons for programming and policy in collaboration with national authorities; and (c) enhancing the collection and analysis of registration data and better aligning it with international statistical standards.
© UNHCR/Jiro Ose
Filling Data Gaps
Support household surveys to include refugees and other populations affected by forced displacement in the national household survey.
The Central African Republic
Capture internal displacement in the 2020 national household survey, with methods aligned to international standards.
The Democratic Republic of the Congo
Set up a Crisis Observatory which will use traditional and adaptive tools for data collection and monitoring; build local capacities and partnerships; and conduct surveys of forcibly displaced households and hosts on development and welfare information, including household socioeconomic characteristics.
Identify and monitor displaced populations including refugees, migrants, and IDPs to understand their profiles, socioeconomic conditions, and migration flows; conduct qualitative interviews with key informants, and undertake a detailed cartographic exercise to build a sampling framework, household listing,and survey.
Conduct household surveys and data collection on refugees, simultaneously with the official Household Consumption Expenditure Survey (HCES) undertaken by Central Statistics Agency.
Include vulnerable populations in Kenya’s Continuous Household Survey Framework (KCHS) and collect data on refugee samples with KCHS-compatible questionnaire to allow for comparative analysis and vulnerability studies.
Conduct a socioeconomic assessment of refugees and host communities, with a household survey covering a national sample and a targeted sample of camp-based refugees, host communities, and refugees in urban areas.
Design and implement Integrated Frequent and Rapid Monitoring Systems (IRMS) for collecting data on IDPs; and develop questionnaires compatible with an upcoming national comprehensive household survey.
Build upon the Crisis Recovery Survey (CRS) and conduct baseline surveys on household consumption, livelihoods, wellbeing, coping strategies, resilience, and return intentions of IDPs. Subsequent rounds will be conducted to measure perceptions, needs and constraints of those in and out of camps.
Set up a locally-owned Cox’s Bazar Humanitarian Development Statistics Center to track welfare indicators for displaced Rohingya and hosts, initiate policy dialogue on refugee-focused policies, and activate use of data in project interventions.
Support data and evidence on the socioeconomic status of refugees and host communities by establishing a system for regular data collection in collaboration with the Pakistan Bureau of Statistics.
Generate evidence to fill knowledge gaps on flows, patterns, living conditions, service provision, and income opportunities among those displaced to Colombia, Ecuador, and Peru by the Venezuelan crisis.
Work with an experienced call center and set up a digital platform to continuously collect data from key informants to produce analytics for humanitarian and development response.
© UNHCR/Santiago Escobar-Jaramillo
Filling Data Analysis and Knowledge Gaps
Chad and Niger: Country level programming
Based on Chad and Niger National Poverty Survey, conduct analytical work and provide evidence to help governments and international community to design better policies and programs for supporting refugees and host communities.
Creating a harmonized data set for Uganda, Chad and Niger
Create a regionally harmonized dataset for Uganda, Chad, and Niger based on household surveys in refugee and host areas in each country.
Understanding displacement, fragility, and welfare
Improve approximations of poverty among displaced people by getting better estimates of whether they are indirectly captured in household surveys, and whether their welfare levels differ by their living situations (camps or in housing), their status (IDPs, refugees or asylum-seekers), and their country of origin.
Developing methodologies for measuring impact on host communities
Support the continuing development of a methodology for measuring the impact of hosting refugees. The objective is to provide technical assistance to a UNHCR-coordinated effort for refugee-hosting countries, which will help them develop a shared understanding and common methodology for measuring the impact of hosting, protecting, and assisting refugees.
Exploring innovative methods to strengthen data
Explore innovative methods to strengthen collection and analysis of data on forced displacement, including an innovation award. The scope of the award is to be developed but could include predictive analytics and use of big data. The award will be widely distributed amongst private and academic sectors.
© UNHCR/Santiago Escobar-Jaramillo
Improving Data Access
Enhancing UNHCR’s Microdata Library
Support the establishment and further enhancement of UNHCR’s external Microdata Library system. This will include collection and curation of datasets from UNHCR operations worldwide to populate the microdata library. These datasets on forcibly displaced populations will be responsibly anonymized and de-identified for public access and usage.
Supporting assessments of refugee laws and policies
Conduct institutional assessment of refugee laws and policies, and support the expansion of the Developing World Refugee and Asylum Policy (DWRAP) online data platform to an open global policy dataset.
Pursuing a responsible open data agenda
Support a multi-year consultative process to enable open data practices among a multitude of stakeholders who collect, manage, and protect data on forced displacement. The first stage will focus on UNHCR Registration and Survey data, and will build on existing efforts within UNHCR to improve data access.
Using AI-tools and Automated Text Analytics for forced displacement
Build a system using machine-learning techniques that will provide a detailed description of how the multilateral development banks, over time and across countries, address issues related to forced displacement. The system will rely on open source machine learning techniques, extract, organize, and update information on a regular basis.
© UNHCR/Petterik Wiggers
Our COVID-19 Response
The COVID-19 pandemic has emerged as the most disruptive social event in decades. This crisis affects all sectors of our society, but for those forcibly displaced, the impact of the pandemic will be exacerbated by the conditions in which they live.
Forcibly displaced populations need to be included in the global response to the virus, but designing any appropriate policy response will require deep knowledge of the socioeconomic and demographic characteristics of these populations – data which is often limited.
To respond to the pandemic within the JDC’s mandate, the Center is working to include forcibly displaced populations in research and phone surveys on socioeconomic impacts of the pandemic.
The JDC has also published a Primer on the Consequences of COVID-19 on Forced Displacement, summarizing over 20 research and projects related to pandemic and its impact on forcibly displaced persons. The Primer will be updated regularly with new research on this issue.
Read it here: The Consequences of COVID-19 on Forced Displacement