GEOINT "Match Strike Challenge" Series – Analysis of Food Insecurity Causes utilizing Free AI

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GEOINT "Match Strike Challenge" Series – Analysis of Food Insecurity Causes utilizing Free AI

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Project Description.....

GEOINT "Match Strike Challenge" Series – Analysis of Food Insecurity Causes utilizing Free AI

A bonfire begins with a single match strike. The same rings true with novel ideas. Our first challenge highlighted the many ways that GEOINT data can be used. The results of the first Matchlight Challenge demonstrated that humanitarian issues are important to today's college students.  The second challenge focused on the displacement of people based on various factors.  The best submissions were able to use GEOINT data to show where the displacement was in a country of their choice and analyze the specifics of what caused the displacement for that specific region. The basic theme for the upcoming Hackathon is Food Security. During this event, teams will try to analyze various problems associated with food security for various countries.  Teams will analyze these problems and seek data to support their findings.  This Challenge will look at several predictors of food insecurity and provide quantitative evidence of what is the magnitude of that problem for a single area.

The Wright Brothers Institute in Dayton OH, the T-REX Innovation Center in St. Louis MO, and in conjunction with Riverside Research, have partnered to bring real-world examples to a series of university challenges. These challenges will highlight what can be done with focused geospatial datasets to shed light on current world problems.

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This Matchlight Challenge series will culminate in a hackathon to be held in St. Louis on Sept 9-10th where competitors and colleagues can meet with other like-minded students to see what can be accomplished in a weekend of fun and exploration. Local companies and government agencies that work with GEOINT data, and teams from the National Geospatial Intelligence Agency will be present at the hackathon for students to talk about internships and other opportunities. Students will have access to unique databases and tools to address the problems presented. There will be a series of "lightning talks" to stimulate your thinking on how to use GEOINT data.

Based on the 1996 World Food Summit, food security is defined when all people, at all times, have physical and economic access to sufficient safe and nutritious food that meets their dietary needs and food preferences for an active and healthy life.

According to the Worldbank there are four main dimensions of food security:

•          Physical availability of food
•          Economic and physical access to food 
•          Food utilization
•          Stability of the other three dimensions over time

Some datasets that could help with this challenge are:

• https://sedac.ciesin.columbia.edu/data/set/food-food-insecurity-hotspots
• https://data.world/datasets/food-security
• https://www.fao.org/faostat/en/#data/FS

AI and ML tools are emerging as powerful tools that can help with understanding large amounts of data. Within the last few years these tools have become available for the general public to use. Many are free to use. These tools can speed up research or challenge you to think of new approaches to old problems. How these tools are used can shed new insight unto the questions of food security. In this challenge we would like you to find out how these tools can help us get insights into the cause and effect of disruptors that may or may not affect food security. To get you started, here are just a few of the tools that have been used to summarize information, design new ways of seeing things, create videos of data, and inspire all of us to think differently. The following is just a small list of the tools that are available for free:

GEOINT Food Insecurity Challenge????

The "Match Strike Challenge" Series in GEOINT likely refers to a competition or series of events focused on leveraging geospatial intelligence (GEOINT) and artificial intelligence (AI) technologies to address real-world challenges. In this case, the challenge aims to analyze the causes of food insecurity using AI tools that are freely available.

GEOINT is the exploitation and analysis of imagery and geospatial information to describe, assess, and visually depict physical features and geographically referenced activities on the Earth's surface. It has various applications, including disaster response, urban planning, environmental monitoring, and, in this case, understanding food insecurity.

Food insecurity refers to the lack of reliable access to sufficient quantities of affordable, nutritious food. It is a complex issue influenced by a range of factors, such as economic conditions, climate change, agricultural practices, political stability, and more. Analyzing these factors and their spatial patterns can help organizations and policymakers make informed decisions to address food insecurity effectively.

The use of AI in this context can greatly enhance the analysis process. AI models can process vast amounts of geospatial data, identify patterns, and extract meaningful insights to understand the underlying causes of food insecurity more comprehensively. By utilizing freely available AI tools, the competition aims to promote accessible and innovative solutions to address global challenges.

Participants in the "Match Strike Challenge" would likely employ AI techniques such as machine learning, deep learning, and natural language processing to process and analyze geospatial data related to food production, distribution, and consumption. The AI models could potentially identify trends, correlations, and potential interventions that could mitigate food insecurity in specific regions.

Such challenges provide an excellent opportunity for collaboration between experts in geospatial analysis, AI, and food security, fostering innovation and generating actionable insights for policymakers and humanitarian organizations. The goal is to develop scalable and data-driven approaches to combat food insecurity and support vulnerable populat

ions worldwide..