Deadline: 16 December 2022

Submit applications to Strengthening Modelling and Analysis Capacity and Ecosystem for Women's Health for innovative approaches to modelling women's health problems or broader health topics that incorporate a gender lens.

The challenge

• They are looking for projects with a timescale of 1 to 3 years that achieve at least one of the objectives:
  • Increase the number of trained modellers, especially women with gender experience based in low- and middle-income countries
  • Achieve a better understanding of the problems that disproportionately affect women through modelling
  • Improve engagement with modelling approaches to support strategic planning and/or evaluation work
  • Ideally, so should the proposals:
  • Bring together discrete modelling units in low- and middle-income countries to share knowledge
  • Enable South-South data-centred collaborations, knowledge transfer and build and strengthen existing initiatives and ecosystems
  • Fostering innovation with data in the interest of their respective local communities and achieving equal access to healthcare
  • Improve data collection, sharing, governance, regulatory compliance and analysis processes to enable data-centred and gender-aware public health research and interventions
  • Explore and improve how to build and strengthen the modelling interface with policy engagement, leading to greater adoption of insights to generate impact.

Financing information

• The level of funding for the Building Data Modelling Capacity for Gender Equality Project is a grant of up to US$ 500,000.00, provided to the organisation, with a term of up to 1 to 3 years. Application budgets must be proportionate to the scope of the proposed work.

Eligibility criteria

• Collaborative proposals led by researchers in low- and middle-income countries (LMICs) - they particularly encourage applications from women-led organisations and applications involving women-led projects
• Proposals that have the potential to have an impact on addressing women's health problems within the proposed budget and timeframe of 1 to 3 years
• Intentional or gender transformative proposals:
  • Intentional gender investments, through new modelling and analytical approaches, will increase understanding of the impact that gender gaps/barriers have on relevant fields of global health
  • Gender transformative investments, through new modelling and analytical approaches, will increase understanding of empowerment in reducing gender gaps/barriers in relevant global health fields
  • Must demonstrate that their approach will increase knowledge and understanding of gender barriers in modelling OR Must show how their methodologies would show the impact that alleviating a known gender gap/problem would have on relevant fields of global health
  • Proposals should also highlight existing experience around gender and modelling and how this will contribute to new methods and expanding the ecosystem
  • Proposals that demonstrate the improvement of the data value chain for intentional gender modelling
• Proposals that have timely access to the necessary data. Focus on improving gender modelling capacity in women's health in LMICs
• Proposals that articulate how the project will lead to impact in the short term and how these benefits will be sustained after the project's lifetime
• Proposals that demonstrate involvement with local and/or regional decision-makers
• Proposals that are driven by a shared commitment to open science, data sharing and building collaboration and analysis infrastructure to enable discoveries that will benefit people everywhere.

Note Global partners can be included. However, priority will be given to proposals that demonstrate that at least 80% of the funding goes to LMIC institutions and where the PI is part of an LMIC institution.

Ineligible

• They will not consider funding proposals that:
  • They aim to collect and generate new data through this funding
  • They are not gendered
  • They're not collaborative
  • Don't focus on women's health or incorporate a gender lens into broader health topics
  • Don't involve local and/or regional decision-makers or don't have a plan to do so
  • Does not demonstrate that the proposed work will be conducted and carried out by researchers and scientists at LMIC-based institutions
  • No timely access to the necessary data
  • Does not demonstrate a decision-making path that results in sustainable impact on gender equity and women's health issues
  • Don't demonstrate a clear commitment to open science and make your discoveries, processes and/or tools accessible and reusable.

For more information, visit https://gcgh.grandchallenges.org/challenge/strengthening-modeling-and-analytics-capacity-and-ecosystem-womens-health