FRIDAY, AUGUST 7, 2026
FRIDAY, AUGUST 7, 2026
18:30–20:00 IST • 15:00–16:30 CEST • 09:00–10:30 EDT
18:30–20:00 IST • 15:00–16:30 CEST • 09:00–10:30 EDT
18:30–20:00 IST • 15:00–16:30 CEST • 09:00–10:30 EDT
The uptake session will examine how AIMM could be integrated into existing child nutrition, public health, and humanitarian systems. The AIMM team will present the intended users, priority use cases, implementation pathway, and proposed approach to household and community-level monitoring. Participants will assess institutional, regulatory, ethical, financial, and operational barriers to adoption. Particular attention will be given to the evidence required by governments, multilateral organizations, NGOs, and frontline health services before using the technology. The session will identify the most credible pathway for piloting, institutionalization, financing, and responsible scale-up in India and other settings.
The uptake session will examine how AIMM could be integrated into existing child nutrition, public health, and humanitarian systems. The AIMM team will present the intended users, priority use cases, implementation pathway, and proposed approach to household and community-level monitoring. Participants will assess institutional, regulatory, ethical, financial, and operational barriers to adoption. Particular attention will be given to the evidence required by governments, multilateral organizations, NGOs, and frontline health services before using the technology. The session will identify the most credible pathway for piloting, institutionalization, financing, and responsible scale-up in India and other settings.
Register
Register
SESSION MEMO
SESSION MEMO
Join webinar
Join webinar
Tell us your questions and suggestions:
Agenda
Agenda
15 minutes
[01] Uptake & Licensing
[01] Uptake & Licensing
10 minutes
[02] Partners & End-users
[02] Partners & End-users
5 minutes
[03] Risks & Requirements
[03] Risks & Requirements
60 minutes
[04] Discussion
[04] Discussion
Key Questions
Key Questions
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 is AIMM's primary use case?
What is AIMM's primary use case?
Should AIMM function primarily as a screening, monitoring, referral, surveillance, or decision-support tool?
Should AIMM function primarily as a screening, monitoring, referral, surveillance, or decision-support tool?
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.
What incentives, training, supervision, connectivity, and maintenance would be required for sustained use by households or frontline workers?
What incentives, training, supervision, connectivity, and maintenance would be required for sustained use by households or frontline workers?
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.
Which institutional arrangements offer the most realistic pathway for scaling AIMM under a dual-licensing model?
Which institutional arrangements offer the most realistic pathway for scaling AIMM under a dual-licensing model?
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.
FRIDAY, AUGUST 7, 2026
FRIDAY, AUGUST 7, 2026
18:30–20:00 IST • 15:00–16:30 CEST • 09:00–10:30 EDT
18:30–20:00 IST • 15:00–16:30 CEST • 09:00–10:30 EDT
18:30–20:00 IST • 15:00–16:30 CEST • 09:00–10:30 EDT
The uptake session will examine how AIMM could be integrated into existing child nutrition, public health, and humanitarian systems. The AIMM team will present the intended users, priority use cases, implementation pathway, and proposed approach to household and community-level monitoring. Participants will assess institutional, regulatory, ethical, financial, and operational barriers to adoption. Particular attention will be given to the evidence required by governments, multilateral organizations, NGOs, and frontline health services before using the technology. The session will identify the most credible pathway for piloting, institutionalization, financing, and responsible scale-up in India and other settings.
The uptake session will examine how AIMM could be integrated into existing child nutrition, public health, and humanitarian systems. The AIMM team will present the intended users, priority use cases, implementation pathway, and proposed approach to household and community-level monitoring. Participants will assess institutional, regulatory, ethical, financial, and operational barriers to adoption. Particular attention will be given to the evidence required by governments, multilateral organizations, NGOs, and frontline health services before using the technology. The session will identify the most credible pathway for piloting, institutionalization, financing, and responsible scale-up in India and other settings.
Register
Register
SESSION MEMO
SESSION MEMO
Join webinar
Join webinar
Tell us your questions and suggestions:
Agenda
Agenda
15 minutes
[01] Uptake & Licensing
[01] Uptake & Licensing
10 minutes
[02] Partners & End-users
[02] Partners & End-users
5 minutes
[03] Risks & Requirements
[03] Risks & Requirements
60 minutes
[04] Discussion
[04] Discussion
Key Questions
Key Questions
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 is AIMM's primary use case?
What is AIMM's primary use case?
Should AIMM function primarily as a screening, monitoring, referral, surveillance, or decision-support tool?
Should AIMM function primarily as a screening, monitoring, referral, surveillance, or decision-support tool?
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.
What incentives, training, supervision, connectivity, and maintenance would be required for sustained use by households or frontline workers?
What incentives, training, supervision, connectivity, and maintenance would be required for sustained use by households or frontline workers?
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.
Which institutional arrangements offer the most realistic pathway for scaling AIMM under a dual-licensing model?
Which institutional arrangements offer the most realistic pathway for scaling AIMM under a dual-licensing model?
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.
FRIDAY, AUGUST 7, 2026
FRIDAY, AUGUST 7, 2026
18:30–20:00 IST • 15:00–16:30 CEST • 09:00–10:30 EDT
18:30–20:00 IST • 15:00–16:30 CEST • 09:00–10:30 EDT
18:30–20:00 IST • 15:00–16:30 CEST • 09:00–10:30 EDT
The uptake session will examine how AIMM could be integrated into existing child nutrition, public health, and humanitarian systems. The AIMM team will present the intended users, priority use cases, implementation pathway, and proposed approach to household and community-level monitoring. Participants will assess institutional, regulatory, ethical, financial, and operational barriers to adoption. Particular attention will be given to the evidence required by governments, multilateral organizations, NGOs, and frontline health services before using the technology. The session will identify the most credible pathway for piloting, institutionalization, financing, and responsible scale-up in India and other settings.
The uptake session will examine how AIMM could be integrated into existing child nutrition, public health, and humanitarian systems. The AIMM team will present the intended users, priority use cases, implementation pathway, and proposed approach to household and community-level monitoring. Participants will assess institutional, regulatory, ethical, financial, and operational barriers to adoption. Particular attention will be given to the evidence required by governments, multilateral organizations, NGOs, and frontline health services before using the technology. The session will identify the most credible pathway for piloting, institutionalization, financing, and responsible scale-up in India and other settings.
Register
Register
SESSION MEMO
SESSION MEMO
Join webinar
Join webinar
Tell us your questions and suggestions:
Agenda
Agenda
15 minutes
[01] Uptake & Licensing
[01] Uptake & Licensing
10 minutes
[02] Partners & End-users
[02] Partners & End-users
5 minutes
[03] Risks & Requirements
[03] Risks & Requirements
60 minutes
[04] Discussion
[04] Discussion
Key Questions
Key Questions
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 is AIMM's primary use case?
What is AIMM's primary use case?
Should AIMM function primarily as a screening, monitoring, referral, surveillance, or decision-support tool?
Should AIMM function primarily as a screening, monitoring, referral, surveillance, or decision-support tool?
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.
What incentives, training, supervision, connectivity, and maintenance would be required for sustained use by households or frontline workers?
What incentives, training, supervision, connectivity, and maintenance would be required for sustained use by households or frontline workers?
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.
Which institutional arrangements offer the most realistic pathway for scaling AIMM under a dual-licensing model?
Which institutional arrangements offer the most realistic pathway for scaling AIMM under a dual-licensing model?
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.