
Food & Nutrition Conference 2026
Transforming Food Systems for Nutrition & Resilience in Papua New Guinea

Welcome to the
Food & Nutrition Conference 2026
The Food and Nutrition Conference is a national forum that brings together researchers, policymakers, practitioners, private sector actors, and development partners to advance evidence-based dialogue and action on food systems, nutrition, and resilience. The conference provides a platform to share research, practical experiences, and innovations that address food security, malnutrition, climate and environmental pressures, and inclusive economic development, with a strong focus on national priorities and local context. Conference objectives:
This year's incredible line up of speakers

University of Cambridge
Dr. Lindholm is a leading expert in artificial intelligence ethics, specializing in bias mitigation in machine learning models. She is a senior lecturer at the University of Cambridge and has advised EU policymakers on AI regulation.

National University of Singapore
An expert in biomedical engineering, Prof. Gupta is developing nanotechnology-based drug delivery systems at NUS. His work is revolutionizing treatment approaches for neurodegenerative diseases.

University of Cambridge
A distinguished researcher in quantum computing, Prof. Contreras heads Stanford’s Quantum Systems Lab. His recent work on quantum cryptography has influenced cybersecurity frameworks worldwide.

University of Cambridge
Dr. Lindholm is a leading expert in artificial intelligence ethics, specializing in bias mitigation in machine learning models. She is a senior lecturer at the University of Cambridge and has advised EU policymakers on AI regulation.

University of Cambridge
Dr. Lindholm is a leading expert in artificial intelligence ethics, specializing in bias mitigation in machine learning models. She is a senior lecturer at the University of Cambridge and has advised EU policymakers on AI regulation.

University of Cambridge
Dr. Lindholm is a leading expert in artificial intelligence ethics, specializing in bias mitigation in machine learning models. She is a senior lecturer at the University of Cambridge and has advised EU policymakers on AI regulation.
Key dates
Registrations Open
1st February 2026
Call for papers opens
1st February 2026
Abstract submissions close
30th April 2026
Registrations closer
31st May 2026
Conference
1st -> 3rd M
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