DRC Earth Observation & Displacement Forecasting Consultancy 2026
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Apply for the Danish Refugee Council (DRC) consultancy on earth observation for displacement nowcasting and forecasting, an opportunity for experienced research, data science, geospatial, humanitarian technology, and earth observation organisations to contribute to innovative approaches for understanding and predicting population displacement.
Help strengthen DRC's ability to use earth observation data to improve displacement analysis and forecasting, addressing spatial and temporal gaps in sub-national displacement data.
Quick Highlights
| Opportunity Name | DRC Earth Observation & Displacement Forecasting Consultancy 2026 |
|---|---|
| Organization | Danish Refugee Council (DRC) |
| Assignment | Earth Observation for Displacement Forecasting |
| Reference | INET_RFP_PR_00405919 |
| Tender Type | Request for Proposal (RFP) |
| Location | DRC Headquarters, Copenhagen |
| Publication Date | 14 August 2026 |
| Deadline | 2 September 2026 (16:00 UTC) |
Opportunity Overview
| Host Organisation | Danish Refugee Council (DRC) |
|---|---|
| Assignment | Earth Observation for Displacement Nowcasting and Forecasting |
| Opportunity Type | Consultancy / Request for Proposal |
| Reference | INET_RFP_PR_00405919 |
| Tender Type | Request for Proposal (RFP) |
| Location | DRC Headquarters, Copenhagen |
| Contract Type | One-time Purchase |
| Category | Services |
| Publication Date | 14 August 2026 |
| Submission Deadline | 2 September 2026 (16:00 UTC) |
About the Danish Refugee Council
The Danish Refugee Council (DRC) is a leading humanitarian organisation working to protect and assist refugees, internally displaced persons, and other people affected by conflict and displacement. DRC operates in over 40 countries worldwide, providing protection, livelihood support, and humanitarian assistance to vulnerable populations.
The DRC Innovation, Data and Analysis Unit works to strengthen the organisation's analytical capacity and develop innovative approaches to humanitarian challenges. This consultancy is part of DRC's efforts to leverage emerging technologies—including earth observation data—to improve displacement analysis and forecasting.
Consultancy Overview
The consultancy focuses on assessing how earth observation data can complement existing displacement information and improve the timeliness and accuracy of displacement estimates. DRC is particularly interested in understanding how satellite-derived and other earth observation information can help address spatial and temporal gaps in sub-national displacement data.
The successful service provider will also explore how these datasets can provide additional indicators of the drivers and conditions associated with displacement. The assignment is intended not only to assess the potential value of earth observation but also to provide DRC with practical tools, methodologies, and guidance that will enable the organisation to build internal capacity for processing and applying earth observation data.
Key Objectives of the Assignment
| Objective | Description |
|---|---|
| Assess Potential | Assess potential of earth observation data for displacement nowcasting and forecasting |
| Address Data Gaps | Identify ways to address gaps in sub-national displacement information |
| Timely Estimates | Explore methods for generating more timely displacement estimates between official reporting cycles |
| Improve Accuracy | Assess whether earth observation data can improve accuracy of existing forecasting models |
| Identify Indicators | Identify additional indicators and data inputs for displacement drivers |
| Develop Tools | Develop appropriate tools, methodologies, and guidance for DRC |
| Build Capacity | Support DRC in strengthening internal capacity to process and use earth observation data |
Expected Consultancy Contribution
| Area | Contribution |
|---|---|
| Complementary Data | Assess how earth observation data complements existing displacement information |
| Data Gaps | Address spatial and temporal gaps in sub-national displacement data |
| New Indicators | Explore additional indicators of displacement drivers and conditions |
| Practical Tools | Provide DRC with practical tools, methodologies, and guidance |
| Capacity Building | Enable DRC to build internal capacity for processing and applying earth observation data |
| Decision-Making | Strengthen more timely decision-making in displacement contexts |
Who Can Apply?
| Expertise Area | Requirement |
|---|---|
| Earth Observation | Earth observation and satellite data |
| Geospatial Analysis | Geospatial analysis |
| Remote Sensing | Remote sensing |
| Data Science | Data science and predictive modelling |
| Humanitarian Information Management | Humanitarian information management |
| Displacement Analysis | Displacement analysis |
| Forecasting | Forecasting and nowcasting methodologies |
| Capacity Development | Capacity development and technical training |
Preferred Organisations:
Organisations with experience applying advanced data and geospatial technologies to humanitarian or development challenges
Research, data science, geospatial, humanitarian technology, and earth observation organisations
Key Considerations for Applicants
| Consideration | Description |
|---|---|
| Technical Approach | Should consider practical challenges of collecting, processing, validating, and interpreting earth observation data |
| Data Integration | Should demonstrate how data can be integrated with existing displacement datasets and forecasting models |
| Practical Recommendations | Should generate practical recommendations rather than focusing solely on theoretical research |
| Organisational Capacity | Should ultimately strengthen internal analytical capacity |
| Decision-Making Support | Should support more timely decision-making in displacement contexts |
Important Dates / Timeline
| Activity | Date |
|---|---|
| Publication Date | 14 August 2026 |
| Submission Deadline | 2 September 2026 (16:00 UTC) |
Application Process
| Step | Action |
|---|---|
| 1 | Review the tender dossier containing detailed specifications and requirements |
| 2 | Ensure submissions fully address technical and administrative requirements |
| 3 | Submit proposal in accordance with requirements outlined in the tender dossier |
| 4 | Submit before the 2 September 2026 deadline |
Important Links
| Description | Official Link |
|---|---|
| Request for Proposal | |
| DRC Official Website |
Contact Information
| Enquiry Type | Contact |
|---|---|
| Procurement Enquiries | procurement.hq@drc.ngo |
| Department | DRC HQ Supply Chain Department |
Why This Consultancy Matters
Displacement crises can evolve rapidly, while official displacement reporting may not always provide sufficiently frequent or geographically detailed information for operational decision-making. Earth observation offers an opportunity to supplement traditional data sources with timely spatial information that can help identify environmental and contextual factors associated with population movement.
By exploring these capabilities, DRC aims to strengthen its analytical systems and improve the ability of humanitarian actors to anticipate displacement patterns. The consultancy could therefore contribute to more evidence-based preparedness, planning, and humanitarian response.
FAQs
| Question | Answer |
|---|---|
| What is the assignment? | Consultancy on earth observation for displacement nowcasting and forecasting |
| Who is issuing the RFP? | Danish Refugee Council (DRC) |
| What is the reference number? | INET_RFP_PR_00405919 |
| What is the deadline? | 2 September 2026 (16:00 UTC) |
| Where is the location? | DRC Headquarters, Copenhagen |
| What expertise is needed? | Earth observation, geospatial analysis, remote sensing, data science, displacement analysis |
| Who can apply? | Qualified consultancy service providers and organisations |
| What is the tender type? | Request for Proposal (RFP) |
| How do I apply? | Review tender dossier and submit proposal |
| Who can I contact? | procurement.hq@drc.ngo |
CareerFlora Expert Insight
The Danish Refugee Council's consultancy on earth observation for displacement forecasting represents a significant opportunity for organisations working at the intersection of humanitarian technology, earth observation, and data science. The assignment combines technical assessment, methodological development, and organisational capacity building—offering a comprehensive engagement for the successful service provider.
The focus on addressing spatial and temporal gaps in sub-national displacement data is particularly relevant given the rapid evolution of displacement crises and the limitations of traditional reporting mechanisms. Earth observation data offers the potential to supplement existing data sources and improve the timeliness of displacement analysis.
For organisations with expertise in geospatial analysis, remote sensing, and predictive modelling, this consultancy provides an opportunity to contribute to humanitarian innovation and strengthen DRC's analytical systems.
Best Opportunity For
| Category | Suitable |
|---|---|
| Research Organisations | ✓ |
| Data Science Organisations | ✓ |
| Geospatial Organisations | ✓ |
| Humanitarian Technology Organisations | ✓ |
| Earth Observation Organisations | ✓ |
| Consultancy Firms | ✓ |
| Academic Institutions | ✓ |
Competition Level
| Category | Level |
|---|---|
| Overall Competition | High |
| Selection Difficulty | High |
| Application Complexity | High |
CareerFlora Recommendation
| Recommendation Area | Details |
|---|---|
| Overall Rating | ★★★★★ |
| Project Impact | Excellent |
| Networking | Excellent |
| Application Difficulty | High |
| Humanitarian Innovation | High |
| Apply Before Deadline | Essential |
This opportunity is highly recommended for organisations with expertise in earth observation, geospatial analysis, and displacement forecasting. The consultancy offers an opportunity to contribute to humanitarian innovation and strengthen DRC's analytical capacity.
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Final Call-to-Action
Review the tender dossier on the official DRC website to access detailed specifications, requirements, and submission instructions. Prepare a technically robust proposal that addresses the assessment of earth observation data for displacement forecasting. Submit before the 2 September 2026 (16:00 UTC) deadline.
🔗 Apply Now: https://drc.ngo/en/tenders/inet_rfp_pr_00405919/
📧 Procurement Enquiries: procurement.hq@drc.ngo
🏛️ Organisation Website: https://drc.ngo
