About The Position

Climate Analytics is seeking a local expert to conduct a case study in Manila, Philippines, as part of a project to develop an integrated methodology for attributing extreme heat events and their impacts in the Global South to human-induced climate change. The consultant will perform in-country activities including data collection, background literature research, and contextualizing the framework for Manila. This involves gathering qualitative and quantitative data on the socio-economic impacts of extreme heat from local sources, conducting interviews with stakeholders, and researching local heat-health adaptation interventions. The goal is to assess impacts such as mortality, morbidity, labor productivity losses, and other effects on poverty and indebtedness, while also understanding the local socio-economic and cultural context.

Requirements

  • Must be physically based in or very near the case study location (Manila, Philippines).
  • Fluent in the relevant local language(s).
  • Demonstrated experience in qualitative data collection, such as conducting interviews, facilitating focus groups, or engaging with institutional stakeholders.
  • Proven ability to navigate local institutions and communities.
  • Existing contacts or a clear strategy for accessing key data sources.
  • Deep understanding of the socio-economic and cultural context of the case study location, including the structure of the local labour market and health systems.

Responsibilities

  • Conduct essential in-country activities, including data collection, background literature research, and contextualizing the framework for the specific regional realities of Manila (Philippines).
  • Contribute to the Socio-Economic Impact Assessment for the Manila case study by gathering qualitative and quantitative data on the socio-economic impacts of extreme heat from non-traditional, local sources.
  • Approach local stakeholders for non-public data (e.g., hospitals, health care providers, local employers, policy makers, etc.).
  • Gather data on socio-economic impacts of interest including mortality, morbidity, and heat-related losses in labour productivity and income (including in informal employment), as well as other effects such as poverty, indebtedness, and caregiving responsibilities.
  • Perform background-literature research on current local heat-health adaptation interventions (policies, programs, pilot projects, and other initiatives).
  • Bring in local expertise on socio-economic context including local characteristics and social norms to be mindful of for the data evaluation.
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