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Welcome to Nutrition Informatics

WHAT IS NUTRITION INFORMATICS?

Effective retrieval, storage, organisation, and optimum use of information, data and knowledge for food and nutrition related problem solving and decision making.

WHY NUTRITION INFORMATICS?

Nutrition transition seen with rapid urbanization, economic development and technological advancement has led to the growing need of nutrition informatics.

SMAART Hub for Informatics enabled Nutrition Education (SHINE)

Become a global platform for the field of nutrition informatics
Research, Innovate, Policy, Practice and Entrepreneurship. – Ashish Joshi

About NI Membership

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Next Batch Starting September 26, 2026

Certificate in Health and Nutrition Informatics

  • As per UGC prescribed norms
  • Synchronous and asynchronous learning
  • Weekly interactive lectures
  • Research seminar
  • Mentorship
  • Experiential learning and much more

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We are delighted to welcome Sakshi Garg to FHTS!

Sakshi has completed her Master's in Public Health from Hamburg University of Applied Sciences, Germany, and joins us as an intern under the v-INSPIRE Public Health Program.

This internship is offered under v-INSPIRE Public Health, an experiential learning program that aims to address population health challenges of the 21st century by enhancing the academic and non-academic skills of students through an innovative and participatory experiential learning experience. The Program offers Internships, Dissertations, Teaching Assistantships and Fellowships. This workforce preparedness initiative has been crafted by Dr. @ashish_joshi_phd,MBBS,MPH, under whose guidance and leadership FHTS has trained 1200+ interns from 15 different countries, representing 240+ institutes and universities.

We look forward to Sakshi's contributions and wish her a rewarding learning experience with us.

#vINSPIRE #PublicHealth #FHTS #Internship #WelcomeAboard
We are delighted to welcome Dr. Upasya Mukherjee to FHTS!

Dr. Mukherjee (MBBS, MPH Pursuing) is currently pursuing his MPH at O.P. Jindal Global University (JGU), Sonipat, Haryana, and joins us as an intern under the v-INSPIRE Public Health Program.

This internship is offered under v-INSPIRE Public Health, an experiential learning program that aims to address population health challenges of the 21st century by enhancing the academic and non-academic skills of students through an innovative and participatory experiential learning experience. 

The Program offers Internships, Dissertations, Teaching Assistantships and Fellowships. This workforce preparedness initiative has been crafted by Dr. @ashish_joshi_phd,MBBS,MPH, under whose guidance and leadership FHTS has trained 1200+ interns from 15 different countries, representing 240+ institutes and universities.

We look forward to Dr. Mukherjee's contributions and wish him a rewarding learning experience with us.

#VINSPIRE #PublicHealth #FHTS #Internship #WelcomeAboard
AI for Climate Change and Public Health Risk Prediction

Climate change is increasingly becoming a public health challenge. Heatwaves, extreme weather, air pollution, and changing rainfall patterns can affect infectious diseases, respiratory health, cardiovascular conditions, and mental wellbeing.

AI can help connect climate, environmental, population, and health data to identify patterns and predict health risks. These insights could give health systems more time to prepare, strengthen early warning systems, and protect communities most at risk.

But prediction alone is not enough. Data quality, bias, privacy, infrastructure, and the ability to translate predictions into local action remain critical challenges. Responsible AI must complement not replace public health expertise and human decision-making.

This discussion is open on COPHI (Community of Population Health Informatics), a discussion forum anchored in the SMAART framework and envisioned by Dr. @ashish_joshi_phd,MBBS,MPH 

Share your views on:
1. How can AI strengthen climate-related health risk prediction?
2. How can AI-generated warnings be translated into timely public health action?
3. What challenges must be addressed to make these systems reliable and equitable, especially in resource-limited settings?

Share your experiences, perspectives, and evidence-informed ideas.

Join the discussion: https: https://smaartlab.org/discussion-board/public-health-interventions-ai-in-public-health/ai-for-climate-change-and-public-health-risk-prediction/

#AIinPublicHealth #ClimateHealth #ClimateChange #PublicHealth #COPHI #PopulationHealth #SMAART #HealthTech #ClimateResilience #EarlyWarningSystems