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[01]
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Introduction
Introduction
Introduction
THRUSDAY, 6 AUGUST 2026
THRUSDAY, 6 AUGUST 2026

16:30–18:00 IST • 13:00–14:30 CEST • 07:00–08:30 EDT

16:30–18:00 IST • 13:00–14:30 CEST • 07:00–08:30 EDT

16:30–18:00 IST • 13:00–14:30 CEST • 07:00–08:30 EDT

The introductory session will establish a shared understanding of AIMM’s objectives, current stage of development, and planned pathway from research to implementation. The AIMM team will present the project consortium, timeline, pilot findings, and forthcoming fieldwork in Maharashtra. Participants will review the intended role of the Technical Advisory Group and the types of strategic and technical advice required over the next three years. The discussion will identify major risks, evidence gaps, stakeholder needs, and opportunities that should shape the project at an early stage. The session will conclude by defining priority areas for TAG engagement and practical mechanisms for continued collaboration.

The introductory session will establish a shared understanding of AIMM’s objectives, current stage of development, and planned pathway from research to implementation. The AIMM team will present the project consortium, timeline, pilot findings, and forthcoming fieldwork in Maharashtra. Participants will review the intended role of the Technical Advisory Group and the types of strategic and technical advice required over the next three years. The discussion will identify major risks, evidence gaps, stakeholder needs, and opportunities that should shape the project at an early stage. The session will conclude by defining priority areas for TAG engagement and practical mechanisms for continued collaboration.

Key Questions
Key Questions
Are AIMM’s objectives clear, and what will be most difficult to achieve?

Are AIMM’s objectives clear, and what will be most difficult to achieve?

AIMM addresses the need for faster, lower-cost, and more accurate child nutrition screening, particularly in hard-to-reach, crisis-affected, or otherwise resource-constrained settings. Current nutrition assessments often require trained personnel, physical measurement tools, and repeated field visits, which can limit coverage during emergencies, displacement, or pandemic-related restrictions. AIMM explores whether smartphone-based images can help estimate key indicators of child undernutrition and support low-cost, near-real-time identification of children at risk.

What would constitute convincing evidence that AIMM offers meaningful advantages over other comparable approaches?

What would constitute convincing evidence that AIMM offers meaningful advantages over other comparable approaches?

AIMM is designed for settings where reliable nutrition data are urgently needed but difficult to collect. This includes conflict-affected areas, remote communities, humanitarian emergencies, public health crises, and other situations where access to children and households is limited. By enabling smartphone-based, community-level monitoring, AIMM can help generate timely information when standard measurement systems are disrupted, overstretched, or unavailable.

Which scientific, operational, or ethical risks could prevent AIMM from achieving real-world uptake?

Which scientific, operational, or ethical risks could prevent AIMM from achieving real-world uptake?

The app is being developed so that caregivers and families can monitor child nutrition using a standard smartphone, with minimal equipment and guidance. Drawing on prior experience with emoji-based questionnaires and culturally appropriate interface designs in Kenya, AIMM will place strong emphasis on intuitive, low-literacy, and locally appropriate user interaction. The app interface will be refined together with rural households and caregivers to ensure that it is easy to understand and use in everyday settings.

Are the project’s current indicators of success appropriate, and how should clinical, operational, equity, and cost-effectiveness outcomes be prioritized?

Are the project’s current indicators of success appropriate, and how should clinical, operational, equity, and cost-effectiveness outcomes be prioritized?

AIMM is being developed and tested in Maharashtra, India. In the first phase, the study will sample approximately 7,000 children across five districts — Dhule, Chandrapur, Nagpur, Jalgaon, and Beed — to train and validate the app. In a second phase, AIMM will be tested in Pune district with 150 households over a period of 12 months.

Loading: 1%
[01]
[01]
[01]
Introduction
Introduction
Introduction
THRUSDAY, 6 AUGUST 2026
THRUSDAY, 6 AUGUST 2026

16:30–18:00 IST • 13:00–14:30 CEST • 07:00–08:30 EDT

16:30–18:00 IST • 13:00–14:30 CEST • 07:00–08:30 EDT

16:30–18:00 IST • 13:00–14:30 CEST • 07:00–08:30 EDT

The introductory session will establish a shared understanding of AIMM’s objectives, current stage of development, and planned pathway from research to implementation. The AIMM team will present the project consortium, timeline, pilot findings, and forthcoming fieldwork in Maharashtra. Participants will review the intended role of the Technical Advisory Group and the types of strategic and technical advice required over the next three years. The discussion will identify major risks, evidence gaps, stakeholder needs, and opportunities that should shape the project at an early stage. The session will conclude by defining priority areas for TAG engagement and practical mechanisms for continued collaboration.

The introductory session will establish a shared understanding of AIMM’s objectives, current stage of development, and planned pathway from research to implementation. The AIMM team will present the project consortium, timeline, pilot findings, and forthcoming fieldwork in Maharashtra. Participants will review the intended role of the Technical Advisory Group and the types of strategic and technical advice required over the next three years. The discussion will identify major risks, evidence gaps, stakeholder needs, and opportunities that should shape the project at an early stage. The session will conclude by defining priority areas for TAG engagement and practical mechanisms for continued collaboration.

Key Questions
Key Questions
Are AIMM’s objectives clear, and what will be most difficult to achieve?

Are AIMM’s objectives clear, and what will be most difficult to achieve?

AIMM addresses the need for faster, lower-cost, and more accurate child nutrition screening, particularly in hard-to-reach, crisis-affected, or otherwise resource-constrained settings. Current nutrition assessments often require trained personnel, physical measurement tools, and repeated field visits, which can limit coverage during emergencies, displacement, or pandemic-related restrictions. AIMM explores whether smartphone-based images can help estimate key indicators of child undernutrition and support low-cost, near-real-time identification of children at risk.

What would constitute convincing evidence that AIMM offers meaningful advantages over other comparable approaches?

What would constitute convincing evidence that AIMM offers meaningful advantages over other comparable approaches?

AIMM is designed for settings where reliable nutrition data are urgently needed but difficult to collect. This includes conflict-affected areas, remote communities, humanitarian emergencies, public health crises, and other situations where access to children and households is limited. By enabling smartphone-based, community-level monitoring, AIMM can help generate timely information when standard measurement systems are disrupted, overstretched, or unavailable.

Which scientific, operational, or ethical risks could prevent AIMM from achieving real-world uptake?

Which scientific, operational, or ethical risks could prevent AIMM from achieving real-world uptake?

The app is being developed so that caregivers and families can monitor child nutrition using a standard smartphone, with minimal equipment and guidance. Drawing on prior experience with emoji-based questionnaires and culturally appropriate interface designs in Kenya, AIMM will place strong emphasis on intuitive, low-literacy, and locally appropriate user interaction. The app interface will be refined together with rural households and caregivers to ensure that it is easy to understand and use in everyday settings.

Are the project’s current indicators of success appropriate, and how should clinical, operational, equity, and cost-effectiveness outcomes be prioritized?

Are the project’s current indicators of success appropriate, and how should clinical, operational, equity, and cost-effectiveness outcomes be prioritized?

AIMM is being developed and tested in Maharashtra, India. In the first phase, the study will sample approximately 7,000 children across five districts — Dhule, Chandrapur, Nagpur, Jalgaon, and Beed — to train and validate the app. In a second phase, AIMM will be tested in Pune district with 150 households over a period of 12 months.

Loading: 1%
[01]
[01]
[01]
Introduction
Introduction
Introduction
THRUSDAY, 6 AUGUST 2026
THRUSDAY, 6 AUGUST 2026

16:30–18:00 IST • 13:00–14:30 CEST • 07:00–08:30 EDT

16:30–18:00 IST • 13:00–14:30 CEST • 07:00–08:30 EDT

16:30–18:00 IST • 13:00–14:30 CEST • 07:00–08:30 EDT

The introductory session will establish a shared understanding of AIMM’s objectives, current stage of development, and planned pathway from research to implementation. The AIMM team will present the project consortium, timeline, pilot findings, and forthcoming fieldwork in Maharashtra. Participants will review the intended role of the Technical Advisory Group and the types of strategic and technical advice required over the next three years. The discussion will identify major risks, evidence gaps, stakeholder needs, and opportunities that should shape the project at an early stage. The session will conclude by defining priority areas for TAG engagement and practical mechanisms for continued collaboration.

The introductory session will establish a shared understanding of AIMM’s objectives, current stage of development, and planned pathway from research to implementation. The AIMM team will present the project consortium, timeline, pilot findings, and forthcoming fieldwork in Maharashtra. Participants will review the intended role of the Technical Advisory Group and the types of strategic and technical advice required over the next three years. The discussion will identify major risks, evidence gaps, stakeholder needs, and opportunities that should shape the project at an early stage. The session will conclude by defining priority areas for TAG engagement and practical mechanisms for continued collaboration.

Key Questions
Key Questions
Are AIMM’s objectives clear, and what will be most difficult to achieve?

Are AIMM’s objectives clear, and what will be most difficult to achieve?

AIMM addresses the need for faster, lower-cost, and more accurate child nutrition screening, particularly in hard-to-reach, crisis-affected, or otherwise resource-constrained settings. Current nutrition assessments often require trained personnel, physical measurement tools, and repeated field visits, which can limit coverage during emergencies, displacement, or pandemic-related restrictions. AIMM explores whether smartphone-based images can help estimate key indicators of child undernutrition and support low-cost, near-real-time identification of children at risk.

What would constitute convincing evidence that AIMM offers meaningful advantages over other comparable approaches?

What would constitute convincing evidence that AIMM offers meaningful advantages over other comparable approaches?

AIMM is designed for settings where reliable nutrition data are urgently needed but difficult to collect. This includes conflict-affected areas, remote communities, humanitarian emergencies, public health crises, and other situations where access to children and households is limited. By enabling smartphone-based, community-level monitoring, AIMM can help generate timely information when standard measurement systems are disrupted, overstretched, or unavailable.

Which scientific, operational, or ethical risks could prevent AIMM from achieving real-world uptake?

Which scientific, operational, or ethical risks could prevent AIMM from achieving real-world uptake?

The app is being developed so that caregivers and families can monitor child nutrition using a standard smartphone, with minimal equipment and guidance. Drawing on prior experience with emoji-based questionnaires and culturally appropriate interface designs in Kenya, AIMM will place strong emphasis on intuitive, low-literacy, and locally appropriate user interaction. The app interface will be refined together with rural households and caregivers to ensure that it is easy to understand and use in everyday settings.

Are the project’s current indicators of success appropriate, and how should clinical, operational, equity, and cost-effectiveness outcomes be prioritized?

Are the project’s current indicators of success appropriate, and how should clinical, operational, equity, and cost-effectiveness outcomes be prioritized?

AIMM is being developed and tested in Maharashtra, India. In the first phase, the study will sample approximately 7,000 children across five districts — Dhule, Chandrapur, Nagpur, Jalgaon, and Beed — to train and validate the app. In a second phase, AIMM will be tested in Pune district with 150 households over a period of 12 months.