Senior Evaluation Specialist in the UN system (FAO, IAEA, WFP)
Food security analysis and Humanitarian assistance programmes management in the field with international NGOs (1999- 2003)
My contributions
One aspect of this investment has included developing the capacity to more efficiently and effectively mine the evidence contained in its portfolio of evaluations. This has naturally entailed looking to artificial intelligence (AI)-based options to automate text extraction.
Seeing the high interest in A.I., I am sharing some information on what we are aiming to do, and reflections from our experience, as our A.I. project is getting started.
Why is AI of interest?
Evidence-based decision-making is central to many multilateral organizations such as WFP. Evaluation is a key provider of credible evidence, generated by independent teams and backed by solid
Disability inclusion in evaluation
DiscussionThe COVID-19 pandemic has exposed and/or exacerbated any pre-existing issues worldwide. For evaluators too, since March 2020, additional questions arise as to how to ensure that evaluations offer useful contributions to their intended users. Driven by the need to continue to support learning and accountability, evaluations have also adopted new ways of working, and turned virtual for a large part. Do we know how this has affected the utility of our work? While we acknowledge the new limitations posed by the pandemic situation, we may also need to address this question.
What has evaluation done until now to promote its
How are these applied by institutions concerned with agriculture, and are officials working in this sector equipped with adequate capacities and resources to carry out evaluation?
Knowledge seems to be scarce on these questions. Hence, the FAO Office of Evaluation and EvalForward started exploring the dynamics of evaluation within Ministries of Agriculture and their relations with other institutions who play a role.
While the study is ongoing, the Francophone International Forum on Evaluation - FIFE2019, held in Ouagadougou from 11 to 15 November, provided an opportunity to exchange ideas on these questions with Conference participants. In a Round Table with
The African Evaluation Association’s 9th International Conference will be held in Abidjan, Cote D’Ivoire from 11 to 15 March 2019. The Conference theme is Accelerating Africa’s Development: Strengthening National Evaluation Ecosystems. It aims at expanding the “Made in Africa” evaluation approaches, supporting knowledge sharing, capacity development and networking opportunities among a wide range of organisations and individuals working on evaluation.
EVAL-ForwARD will actively promote and support one of 12 work strands of the Conference, titled “Improving Agriculture and Food Security through Evaluation”.
Those interested in contributing to the conference may propose: papers, roundtables, posters, exhibitions and workshops
Developmental evaluation
Discussion
Aurelie Larmoyer
Senior Evaluation officer WFPDear Muriel,
I agree A.I. brings so much potential for evaluation, and many questions all at once!
In the Office of Evaluation of WFP, as we have looked to increase our ability to be more responsive to colleagues’ needs for evidence, the recent advancements in artificial intelligence (A.I.) came as an obvious solution to explore. Therefore, I am happy to share some of the experience and thoughts we have accumulated as we have started connecting with this field.
Our starting point for looking into A.I. was recognizing that we were limited in our capacity to make the most of the wealth of knowledge contained across our evaluations, to address our colleagues’ learning needs. This was mainly because manually locating and extracting evidence on a given topic of interest, to synthesize or summarize it for them, take so much time and efforts.
So, we are working on developing an A.I. powered solution to automate evidence search using Natural Language Processing (NLP) tools, allowing to query our evidence with questions in natural language, a little like we do in any search engine on the web. Then, making the most of recent technology leaps in the field of generative A.I, such as Chat GPT, the solution could also deliver text that is newly generated from the extracted text passages, such as summaries of insights.
We also expect that automating text retrieval will have additional benefits, such as helping to tag documents automatically and more systematically than humans, to support analytics and reporting; and as that Ai will also give an opportunity to direct relevant evidence directly to audiences based on their function, interests and location, just like Spotify or Netflix do.
As we manage to have a solution that offers a good performance in the search results it offers, we hope it may then be replicable to serve other similar needs.
Beyond these uses that we are specifically exploring in the WFP Office of Evaluation, I see other benefits of A.I. to evaluations, such as:
I hope these inputs are useful, and look forward to hearing the experiences of others, as we are all learning as we go, and this is indeed full of promises, risks and surely moves us out of our comfort zones.
Best
Aurelie