Request support on coordination, information management, integration for nutrition outcomes or technical nutrition in emergencies assistance.
التماس الدعم لتنسيق التغذية وإدارة المعلومات والتغذية في حالات الطوارئ
Demander un appui pour la coordination de la nutrition, la gestion de l'information et la nutrition dans les situations d'urgence
Buscar apoyo para la coordinación de la nutrición, la gestión de la información y la nutrición en situaciones de emergencia
Solicite apoio para coordenação em nutrição, gestão de informação e nutrição em emergências
Objective:
The objective of this workshop is to define the GNC approach on Predictive Analytics for the forecasting of Nutrition outcomes. The GNC, under the auspicious of the GNC Technical Alliance, is embarking on a new initiative on Nutrition Predictions. When exploring the existing work in this area, there are several initiatives and projects looking at projections in general and nutrition predictions in particular (see agenda sessions below).
In order to avoid duplication of efforts, maximize learning, and decide on the best way forward with nutrition projections, two half-day workshops are organized to learn about the pros and cons of different approaches to projections that have been tried so far, and what would be needed to develop a forecasting model that is useful for all countries and decision-makers for Nutrition.
Day 1 Agenda. What is out there?
Facilitators: Hassan Ali Ahmed & Anna Ziolkovska
Session title |
Presenter (s) |
Remarks |
Introduction of the participants and the purpose of the workshop |
Anna Ziolkovska |
The purpose of the session is that we are all clear on what we need to achieve and how we get there |
IPC Acute Malnutrition forecasting |
Douglas Jayasekaran |
This is methodology currently used by most of the countries (does not involve AI or any mathematical modeling; mostly trend analysis with assumptions) |
Geospatial data solutions for humanitarian action |
Margaretha Barkhof |
The purpose of this session is to introduce the work developing global level resources for humanitarian action (i.e., the humanitarian elements of the UNICEF GeoHub) |
ATARI |
Nicholas Haan
|
The IPC Secretariat has established the Advanced Technology and Artificial Intelligence (ATARI) working group to improve forecasting for the IPC FS analysis. This presentation is to share experiences that can be potentially transferred for enhancing AM predictions. |
Hunger map |
Jonathan Rivers, Elisa Omodei |
The purpose of this session is to present the predictive model that WFP developed to nowcast the prevalence of people with insufficient food consumption (https://hungermap.wfp.org/). |
Modelling Early Risk Indicators to Anticipate Malnutrition (MERIAM) |
Alice Stevenson, Ellyn Yakowenko, Pascal Debons |
Modelling Early Risk Indicators to Anticipate Malnutrition (MERIAM), is a four-year research project funded by the UK government, which seeks to identify, test, and scale up cost-effective means to improve the prediction and monitoring of acute malnutrition, through the use of open access secondary data. |
South Sudan forecasting |
Saeed Rahman, Qutab Alam, Ismail Kassim |
Used predictive modeling techniques to estimate the burden of acute malnutrition and severity mapping in the absence of recent anthropometric data |
Summary of the day and next steps |
Chairs |
|
Day 2 Agenda. What is out there? + Reflections on the way forward
Facilitators: Louise Mwigiri & Douglas Jayasekaran
Session title |
Presenter (s) |
Remarks |
Summary of the Day 1 discussions and introduction to the day 2 |
Chairs of day 1 |
|
Overview on Obesity/overweight surveillance systems. Use case: Scotland |
Alex Hutchison
|
This is an overview of the project: “Analyses of the “Growing up in Scotland (GUS)” child cohort to inform the design of obesity/overweight surveillance systems internationally”. More information about the Data for Children Collaborative with UNICEF is here: https://www.dataforchildrencollaborative.com/ |
Prediction of acute malnutrition prevalence in three countries in Eastern Africa |
Mara Nyawo |
UNICEF Eastern and Southern Africa Regional Office has been working with LSHTM to develop a model that will predict GAM and SAM for small geographical areas. This presentation will cover the concept of the research. |
Initial GNC project approach (pre-workshop) |
Anna Ziolkovska |
Preliminary GNC NIS WG thoughts on the forecasting |
Facilitated discussion to clearly define the forecasting problem GNC wants to solve |
All |
Some questions to think about:
|
Facilitated discussion on how GNC should approach forecasting for Nutrition outcomes |
All |
Clear way forward agreed on what GNC should do to improve its forecasting. |
Summary and next steps |
Chairs of day 2 |
Summary of the main agreements during the workshop |