ToC Design Guidance�Bus 2
Brian Belcher, Enrico Bonaiuti and Keith Child
October 21, 2021
Agenda
Systems Approach in CGIAR PRMF�
What is a Theory of Change?
A theory of change (ToC) is an “explicit, testable model of how and why change is expected to happen along an impact pathway in a particular context. A basic research-for-development (R4D) ToC identifies the context and key actors in a system and specifies the causal pathways and mechanisms by which the research aims to contribute to outcomes and impacts.” (MELCOP, 2019).
Key Concepts and Definitions
sphere of influence
sphere of control
sphere of interest
System Actors: Individuals or organizations operating as part of the system the Initiative aims to influence, whose actions can advance or impede the Initiative’s aims.
Impact
A durable change in the condition of people and their environment brought about by a chain of events or change in how a system functions to which research, innovations and related activities have contributed.
Outcome
A change in knowledge, skills, attitudes and/or relationships (KASR), which manifests as a change in behavior in particular system actors, to which research outputs and related activities have contributed.
Activities
The actual work done by the Program, including background scoping, literature review, data collection, analysis, technology development and testing, and reporting, as well as communications and engagement with relevant stakeholders and Partners
Outputs
The knowledge, technical or institutional advances produced by CGIAR research, as well as networking, engagement and capacity development activities.
Examples of outputs include new research methods, policy analyses, gene maps, new crop varieties and breeds, institutional innovations, or other products of research work.
Partners: Organizations or individual stakeholders that the Initiative collaborates with to achieve its goals.
End-of Initiative Outcome
An outcome that is challenging but reasonable to expect within the timeframe and resources of the program and observable at the conclusion of an Initiative (or program), and is therefore testable during post-project evaluation.
Assumptions
Explanation of the causal logic
Research for Development Theory of Change
Building a ToC: A highly iterative process
Building a ToC: A highly interactive process
Lessons from Bus 1 ToCs
Common areas needing strengthening are:
ToC Facilitating Questions �(Appendix B in ToC Guidance)�
ToC Facilitating Questions (cont.)�(Appendix B in ToC Guidance)�
Suggested ToC Narrative Outline
ToC in Proposal Template
3. Research plans and associated theories of change (ToC)
3.1 Full Initiative ToC
Provide a 1-page ToC diagram and a 500-word max narrative ToC description.
3.1.1 Full Initiative ToC diagram ��
3.1.2 Full Initiative ToC narrative (500 words)
To complement the Initiative ToC diagram which illustrates how the Work Packages and End-of Initiative (EoI) outcomes contribute to Action Area outcomes, CGIAR Impact Areas and SDG targets, the Initiative ToC narrative provides an explanation of the causal logic leading from scientific research to impact. In particular, the ToC should address the assumptions of how EoI outcomes are expected to lead to Action Area outcomes and CGIAR Impacts.
3.2.1 1 page diagram per Work Package
3.2.2 Work Package research plans and ToCs �(1000 words not counting table))
Work Package title | Provide an informative title. |
Work Package main focus and prioritization (max 100 words) | Use this space to establish the rationale for the proposed WP; what is the research problem, why is it a strategic priority and, briefly, how will the WP contribute to the intended changes? (The ToC narrative provides more space for explanation of causal logic.) |
Work Package geographic scope (Global/Region/Country) | Indicate where the work will focus |
Table: not included in 1000-word limit
ToC in Proposal Template (cont.)
The Science: 500-word narrative:
The Theory of Change: 500-word narrative:
Example EoI Outcome Statements
How ToCs Will be Evaluated
1. Main Impact pathways: What high-level outcomes and impacts does the initiative aim to contribute to and how?
2. Key outputs: what are the main advances in knowledge and/or technology and what are the main process supports (e.g. capacity building; networking; empowerment) the Initiative aims to deliver?
3. Key partners: what organizations and individuals will the Initiative engage with and what role will those actors play in the change process?
4. Other system actors: what other organizations and individuals (beyond partners) will be involved in the change process and how?
5. Key Outcomes: Who will do what differently as a result of the Initiative.
6. Assumptions: What are the contextual and theoretical assumptions underlying the causal logic of the Initiative?
7. Evaluable end-of-program outcomes: What challenging but achievable outcomes/impacts will be realized by the end of the proposed phase of the Initiative?
8. In future evaluations (i.e. after Initiative inception), evaluators will also consider ongoing efforts by the Initiative to review and update the ToC
ID | Initiative Name | Lead (intro letter setn 10-14) | Deputy | Action Area | Lead Support Expert | MELCOP Support Member |
INIT14 | AgriLAC Resiliente: Resilient Agrifood Innovation Systems Driving Food Security, Inclusive Growth, And Reduced Out-Migration | Daisy Martinez d.m.baron@cgiar.org | Bram Govaerts b.govaerts@cgiar.org | RII | Brian |
|
INIT10 | From Fragility to Resilience in Central and West Asia and North Africa (F2R-CWANA): Transforming responses to drought and climate variability | Michael Baum m.baum@cgiar.org | Maha Al-Zu'bl m.al-zubi@cgiar.org | RII | Keith |
|
INIT22 | Market-driven, Resilient and Nutritious Agrifood Systems in the Humid zones of West and Central Africa (WCA) | Jan Helsen j.helsen@cgiar.org | Regina Kapinga r.kapinga@cgiar.org | RII | Keith | Arouna, Aminou (AfricaRice) <A.Arouna@cgiar.org>; Abdoulaye, Tahirou (IITA) <T.Abdoulaye@cgiar.org> |
INIT18 | Securing the food systems of Asian Mega-Deltas for climate and livelihood resilience – AMD | Ole Sander bsander@cgiar.org | Shakuntala Thilsted s.thilsted@cgiar.org | RII | Brian | Adaro, Catharine (Alliance Bioversity-CIAT) <C.Adaro@cgiar.org> |
INIT24 | Foresight and metrics to accelerate inclusive and sustainable agri-food system transformation | Keith Wiebe k.wiebe@cgiar.org | Elisabetta Gotor e.gotor@cgiar.org | ST | Brian |
|
INIT26 | HER+: Harnessing equality for resilience in the agri-food system or (previously know as) Enabling gender and social equality through resilient and inclusive agri-food systems | Nicoline de Haan n.dehaan@cgiar.org | Daniel Gilligan d.gilligan@cgiar.org | ST | Brian | Schutz, Tonja (Alliance Bioversity-CIAT) <T.Schuetz@CGIAR.ORG> |
INIT33 | FRESH - Fruit and Vegetables for Sustainable Healthy Diets | Deanna Olney d.olney@cgiar.org | Ravi Gopal Singh r.g.singh@cgiar.org | ST | Brian | Altshul, Helen (ILRI) <H.Altshul@cgiar.org> |
INIT25 | Harnessing Digital Technologies for Real-Time Decision-Making across Food, Land, and Water Systems | Jawoo Koo j.koo@cgiar.org | Andrea Gardeazabal a.gardeazabal@cgiar.org | ST | Keith | GIMENEZ BARRERA, Angela (CIMMYT) <A.GIMENEZ@cgiar.org> |
INIT19 | Sustainable Intensification of Mixed Farming Systems | Irmgard Hoeschle-Zeledon i.hoeschle-zeledon@cgiar.org | Santiago Lopez Ridaura s.l.ridaura@cgiar.org | RAFS | Keith | Webber, Hope (IITA) <Ho.Webber@cgiar.org> |
INIT16 | Resilient Cities through Sustainable Urban and Peri-urban Agrifood Systems | Simon Heck s.heck@cgiar.org | Silvia Alonso s.alonso@cgiar.org | RAFS | Brian | Altshul, Helen (ILRI) <H.Altshul@cgiar.org> |
INIT15 | Resilient Aquatic Food Systems for Healthy People and Planet | Edward Allison e.allison@cgiar.org | Marie-Charlotte Buisson m.c.varenne@cgiar.org | RAFS | Brian |
|
INIT12 | Nature-Positive Solutions Enhancing productivity and resilience, while safeguarding the environment, and promoting inclusive growth within communities | Carlo Fadda c.fadda@cgiar.org | Josiane Nikiema j.nikiema@cgiar.org | RAFS | Keith |
|
INIT2 | Accelerated Crop Improvement through Precision Genetic Technologies | Inez Slamet-Loedin islamet-loedin@cgiar.org | Marc Ghislain m.ghislain@cgiar.org | GI | Brian |
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Common Areas for Improvement �in TOC Design and Use
Questions and Discussion