Our Values & Culture

The GBADs collaborators are nurturing a learning culture that is based on respect and delivered and managed with strong teamwork. 

GBADs Values

  • Disrupting the status quo in a way that is solution driven. Change will be affected through contributing to the achievement of SDGs, instead of advocacy. Challenge
  • GBADs will set and test hypotheses through measurement based on the most accurately available tools and datasets, it will seek to improve and refine methods and outputs with the application of scientific rigour. Rigour
  • GBADs will be publicly available to all, for the public good. Transparency
  • GBADs will be focused on delivering products that are meaningful to decision makers in the animal health system and that have impact on the lives of people across society. While utilising academic rigour GBADs will be based on transforming policy making and private sector strategy development in order to improve field and delivery outcomes for all parts of the livestock community. Delivery
  • GBADs is a network of collaborators committed to helping people living on the margins and supporting decision-making for a broad range of stakeholders. Inclusiveness

An overarching fundamental drive of GBADs culture is to turn complexity into clarity.

Our Theory of Change

GBADs developed an updated theory of change (ToC) as part of its 2022 Phase II funding proposal to the Bill & Melinda Gates Foundation and UK’s FCDO. The ToC is applicable across the increasing portfolio of GBADs case studies.


The GBADs theory of change is dependent on the following assumptions that will be tested through the implementation of the GBADs case studies:

• Data are available from data holders (public and private including NGOs, across key geographies)
• Methods are considered valid
• Data and estimations are considered credible: e.g., in terms of relevance (efficiency, equity, environment)
• Analytics delivered in ways that users can access / can digest
• Users are engaged functionally and early, with opportunities, constraints and ambitions influencing planning
• Mobilisation of sufficient funds to drive GBADs work
• Political and administrative will exists (at global-, regional- and country- levels) to change policy and allocate resources based on credible evidence
• Strengthened and extended collaboration between GBADs implementing partners
• Champions or influencers have been identified and supported.

Our Working Groups

The GBADs working groups (WG) involve a team drawn from members of the pre-existing GBADs themes, creating collaborative outputs. All 3 groups (with 1 & 2 split into sub groups) are contributing to the delivery of the three objectives.

Working Group 1 will drive effective research translation and will build on the work of the disease prioritization theme in the global context, and on the engagement work with stakeholders of the Indonesian and Ethiopian case studies in a local context. It will focus on the need to translate research into valuable products in order to access further resources be they data, finance or in-kind contributions from other programmes. The working group will be responsible for combining and organizing analytical results for consistency and comprehension by the users and will be accountable for ensuring user and expert reference group feedback is incorporated into dashboards.

Working Group 2 (WG2) will have two sub-groups: (a) methods for estimating the farm level burden of animal diseases and health problems and attribution and (b) using data from subgroup a developing methods and models to estimate the burden of animal diseases and health problems across society from human health impacts to economic efficiency and social equity issues. WG2 will be responsible for the refinement of the GBADs methods delivering high quality data analysis and scientific modelling, using scenario analysis to address data availability constraints and sensitivity analysis to incorporate data quality limitations, a critical foundation for the knowledge engine and valid disease burden estimations. WG2 will use subsets of data from the superset built by the Informatics Working Group (WG3) with transformations and calculations required for specific analysis. The working group will be accountable for assessing the technical feasibility of GBADs by testing its methods’ scientific relevance and robustness.

Working Group 3 will be responsible for the prototype build of the knowledge engine, delivering a foundation of governed data – a superset of data with governance rules and standard cleaning processes. Further prototyping will be supported by i) an updated data ecosystem map for burden of disease estimation in Ethiopia, ii) a verification and quality control process, and associated living guide, for reproducible modelling and data handling and iii) an ontology that has been developed for standardised terminology on animal health and production.

WG2 will benefit from subsets of these data with transformations and calculations required for specific analysis. WG1 will support Informatics with the acquisition of data that will be used to update the data ecosystem map of the burden of animal diseases estimation in Ethiopia.


1:Methods to estimate animal disease and health burdens, where they come from, to whom and by causes and risk factors

2.Estimations of disease burdensat local, national, and global levels

3.Knowledge engine development – improve access to and standardisation of credible animal disease and health burdens data and information.

4.Adoption and uptake by countries, existing WOAH and other education programmes, and international organisations

To find out more on GBADs and our work, you can look into our Digital Narrative via WOAH (founded as OIE).