GTR 114212671
Tenders Are Invited For Consultant (Mecr) - Data Gap Analysis On Disaster-Related Mobility
ICB — International Competitive Bid
Closed
Asia
Tender Information
GTR Reference
114212671
Tendering Authority
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Financer Name
International Organization for Migration (IMO)
Work Title
Tenders Are Invited For Consultant (Mecr) - Data Gap Analysis On Disaster-Related Mobility
Bid Type
ICB — International Competitive Bid
Country
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Geographical Region
Asia
Political Region
South Asian Association for Regional Cooperation (SAARC),APAC (Asia Pacific)
Last Date of Bid Submission
11-06-2026
Closed
Work Detail
Tenders are invited for Consultant (MECR) - Data Gap Analysis on Disaster-Related Mobility in Sri Lanka. Closing Date: 11 Jun 2026 Type: Consultancy Project Context and Scope: Climate change is one of the fundamental challenges for sustainable development in the 21st century and is likely to have significant impacts on Sri Lanka1. Rising temperatures, unpredictable rainfall patterns, floods, prolonged dry spells and droughts, storms, intense lightning and hurricanes, together with land degradation and human-wildlife conflicts, are some of the main impacts that climate and environmental change are having on communities across the country. These climate-related hazards magnify the risks and uncertainties of human life and livelihoods, jeopardizing the living standards, livelihoods, and well-being (material, social, and cognitive) of people across the country. The impacts on vulnerable communities are particularly acute, especially for those living in climate-vulnerable zones and who rely upon nature-based livelihoods such as farming and fishing. In addition, daily paid jobs and self-employment are also directly and indirectly affected due to climate shocks due to reduced coping capacities and increased vulnerability. Human mobility linked to climate change, disasters and environmental degradation takes place in multiple forms, including migration, displacement, and planned relocation, amongst other forms of mobility and immobility. The decisions to migrate in the context of climate change, disasters and environmental degradation can span extended periods such as in the case of slow-onset environmental degradation that reduces crop yields over multiple seasons, leading to eroding incomes. Sudden-onset events force immediate decisions to flee, such as in cases of displacement due to floods or landslides. Sudden-onset events force immediate decisions to flee, such as in cases of displacement due to floods or landslides. Recent events, including Cyclone Ditwah (20252026), have further demonstrated the scale and urgency of such movements. At the peak of the event, the DMC situational report data indicated that over 2 million individuals were affected, including more than 270,000 internally displaced persons across the country. Ongoing situation reports from the Disaster Management Centre (DMC) further indicate3, Kandy, Kegalle, Matale, Badulla and Nuwara Eliya, highlighting the need for strengthened data systems, monitoring mechanisms and anticipatory planning for climate-related mobility. However, environmental degradation and natural hazards rarely act in isolation. Human mobility is driven by multiple and interrelated factors: economic, political and socio-cultural. Displacement and migration can happen either permanently or temporarily within a country or across administrative borders. Although displacement is mostly a direct impact of climate-related disasters, other forms of migration are also influenced by social, political, economic, demographic, and environmental drivers (anyone or many of which can cause migration). Thus, human mobility in the context of climate-related events is a multi-dimensional issue. With the right conditions in place, migration can be a powerful tool for climate adaptation. It can diversify income sources, create new livelihood opportunities, and enhance peoples knowledge and skills. For example, planned evacuation as a disaster management strategy has significantly reduced the risk of deaths, here in Sri Lanka and overseas. Furthermore, state-led, community driven planned relocation initiatives in landslide-prone areas in the central hills of the country have proven necessary steps towards mitigating disaster risks and anticipatory actions for disaster risk reduction. However, such mobilities can also produce negative outcomes, including increased trauma, loneliness, loss of livelihood, access to education, heavy workload, conflict, loss of social cohesion, loss of identity, loss of socioeconomic and cultural ties, stress of the new environment, burden on health, hygiene, and sanitation, loss of routine lifestyle. Ultimately, these negative impacts affect the material, relational, and subjective aspects of wellbeing. A safer and secure environment for settlement is crucial for people affected by climate change. Since this is an accelerating phenomenon with surging climate change-related disasters, policy interventions and inclusivity are of paramount importance. While disaster response systems are relatively well established, climate-related human mobility remains insufficiently integrated into national data systems and development planning frameworks. Multiple institutions collect disaster-related data; however, methodologies, definitions, indicators, and reporting systems are not harmonized to the extent possible. Displacement data is often event-based and short-term, with limited tracking of extended displacement, planned relocation, slow-onset mobility, anticipatory movement, and gender- and socio-economic dimensions. Recent discussions at the 69th National Disaster Management Coordination Committee (NDMCC) underscored the urgent need to review and operationalize the National Disaster Management Plan (NDMP) and National Emergency Operations Plan (NEOP), particularly in light of lessons learned from Cyclone Ditwah. In this context, a comprehensive Data Gap Analysis is required to systematically assess the existing data ecosystem related to climate mobility and particularly on disaster-related displacement in Sri Lanka. The assignment will identify the existing frameworks/tools used in data collection, identify strengths, gaps, inconsistencies, duplication and coordination challenges, and provide practical and harmonized recommendations to strengthen existing systems. This assessment also contributes to the planned revision of the NDMP and NEOP by providing evidence-based insights and practical recommendations derived from the gaps and priorities highlighted during the NDMCC discussions. Core Functions / Responsibilities: To conduct a comprehensive Data Gap Analysis on Disaster-related Mobility in Sri Lanka. The consultancy will review existing data systems, tools, governance structures, coordination mechanisms and institutional mandates related to climate-induced displacement, migration and planned relocation. The assessment will identify gaps, overlaps, inconsistencies, and provide harmonized methodological and institutional recommendations aligned with national and regional approaches. Tentative research questions are: Existing Data and Data Systems What data on climate change, disasters and human mobility are currently collected? What are the major gaps, overlaps, and inconsistencies in current disasterrelated and climatemobility data? What national and subnational mechanisms and systems exist that currently collect data on disaster impacts, displacement, and mobility? What are the gaps, constraints, and inconsistencies in these data systems? Governance & Coordination How effectively do government institutions coordinate on climate change, disaster management, and human mobility? What information flows exist between communities and institutions? How effectively do existing Early Warning Systems capture and communicate risks? What are the gaps in EWS communication channels, especially for affected population? What institutional or operational constraints hinder coherent governance of climate mobility? Improvements needs How can existing systems better capture climaterelated mobility? What improvements are required for data collection tools, forms, digital systems, and workflows? How can traditional and scientific knowledge be combined to improve climate-risk monitoring and mobility forecasting? What should be pilottested in selected districtsand why those districts? The findings of this assessment will support evidence-based policy formulation at the national level in relation to climate mobility. The analysis will also inform the work of the relevant government ministries, departments and agencies and contribute to strengthening existing disaster-related data collection and management mechanisms. It will also provide a clear understanding of current gaps to guide improved policy integration and planning processes on climate mobility data. This consultancy is part of a sub-regional project Comprehensive Approach to Climate Mobility in South Asia, implemented by the International Organization for Migration (IOM), funded by the European Union. A Comprehensive Approach to Climate Mobility in South Asia is a three-year sub-regional initiative designed to strengthen how climate-related migration and displacement are governed across seven countries in the region. The project focuses on advancing coherent, forward-looking national and regional frameworks that can guide governments as they respond to the growing impacts of climate and environmental change on human mobility. Scope of the Assignment Conduct a comprehensive assessment, responding to the research questions, of existing national and sub-national data and data governance systems on disaster displacement, migration and relocation with an emphasis on identifying gaps and areas of improvement for better governance of climate mobility. Map institutional mandates and coordination structures, clearly identifying which institutions collect, compile, validate and disseminate climate and displacement-related data, and assess the effectiveness of inter-agency coordination mechanisms. Review and analyse existing data collection, compilation and reporting methodologies, including indicators, definitions, tools, reporting formats, frequencies, and levels of disaggregation (sex, age, disability, ethnicity, socio-economic status) and current challenges respectively. Examine data-sharing frameworks, including data interoperability, information man Tender Link : https://reliefweb.int/job/4215187/consultant-mecr-data-gap-analysis-disaster-related-mobility-sri-lanka
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