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https://github.com/heiderjeffer/artificial-intelligence-ai-for-citizen-power-to-drive-sustainable-food-systems-in-ireland

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https://github.com/heiderjeffer/artificial-intelligence-ai-for-citizen-power-to-drive-sustainable-food-systems-in-ireland

artificial-intelligence digital-humanities food ireland python static sustainability

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# Artificial Intelligence (AI) for Citizen power to drive sustainable food systems in Ireland



Author: Heider Jeffer



**Keywords:** sustainability, food, citizen, climate, health, Artificial

Intelligence, information management, sustainable food systems, school

food programs, child nutrition



# Purpose and aims



- **Overall,** the scientific significance and novelty of the project  respond to Irish national, European, and international incentives for ethical drive sustainable food systems and involve more humane from all backgrounds to be engage in our project development in to Irish national, European, and international levels.



- **Ongoing partnership**, producing original research, training/teaching students, and other highly qualified personnel.



- **Generating a virtuous circle party in academia with:** History Science, Archival Science, Digital Humanities, Computer Science, Media Technology, Food Sciences, Nutrition, Public Health, Consumer Psychology, Human Behaviour, Sustainability, Social Science, Climate Science and Environmental Science.



- **Looking for feedback loop:** to reinforce and exchange the knowledge capabilities and ideas with generated virtuous circle party in academia.



# Background and Related Work



- Artificial intelligence (AI) for Sustainable food systems refers to a range of digital tools and techniques for information processing and data mining that are automated.



- The term "food system" refers to the network of interrelated systems and activities that affects agriculture, food, nutrition, and health(Food and Agriculture Organization of the United Nations (FAO) In Brief The State of Food and Agriculture [2021](https://www.fao.org/documents/card/en/c/cb7351en)).”



- To coexist on Earth for a very long period, sustainability is a social objective (Ramsey, Jeffry L. 2015).



- Healthy food is made available to people through sustainable food systems, which also develop resilient social, economic, and environmental frameworks for the food industry (Berlin: SAPEA, Science Advice for Policy by European Academies. [p. 22](https://www.sapea.info/wp-content/uploads/sustainable-food-system-report.pdf),

  2020).



## Finding Study



- Study 1: Artificial Intelligence (AI) can enable or inhibit transitions to sustainability, due to its capacity to facilitate transformational change and disruption (Camarena, 2022).



- Study 2: Costs of healthy, sustainable diets around the world (Mullen, 2021).



- Study 3: The cost of zero hunger (Mullen, 2021)



- Study 4: Leverage points for sustainability transformation (Abson,  2017)



- Study 5: Household food insecurity and children's school engagement (Ashiabi 2005)



- Study 6: Programme coordinators' perceptions of strengths, weaknesses, opportunities and threats associated with school nutrition programmes  (Valaitis, 2014)



- Study 7: The role of artificial intelligence in achieving the sustainable development goals (Vinuesa, 2020)



- Study 8: Ecological resilience of food systems in response to the COVID-19 crisis (Worstell, 2020).



- Study 9: Case Study Research: Design and Methods (Yin, 2014)



- Study 10: Food Security, Safety, and Sustainability—Getting the Trade-Offs Right (Vågsholm, 2020)



- Study 11: National School Lunch Program (NSLP) Fact Sheet available online at:



- Study 12: Irish and EU legislation on food safety available online at: 



- Study 13: School Meals Scheme, Department of Social Protection available - Hot School Meals Main Report (Pilot Project), Nutrition Standards for Hot School Meals, Nutritional Standards For School Meals online at: 



# Research objective  

The major research questions will answer in this project are:



- What are the current initiatives to promote AI for sustainable food systems in Ireland?

- What are the current challenges to AI for sustainable food systems in Ireland?

- What are the potential benefits of citizen-led initiatives to promote AI for sustainable food systems in Ireland?

- What are the best practices for citizen-led initiatives to promote AI for sustainable food systems in Ireland?



# Methodology  

## Case study  

Aiming to support both the implementation and the maintenance School Meals Scheme, Department of Social Protection - Republic of Ireland, School Meals Scheme provides funding to schools and organizations towards the provision of healthy food for school children.



**Ireland-based software company Anne Heider food Solutions[^1] offers a suite of sustainable food products in Ireland to support School Meals Scheme to manage:**



(1) school nutrition programs.  

(2) food distribution programs.  

(3) administrative reviews.  

(4) food tracking and reporting.



As part of the Anne Heider food Solutions’ offering of a “software as a service” solution and for a monthly licensing fee, School Meals Scheme or Department of Social Protection authorities can access Anne Heider food Solutions program management features through a web page without the need for hardware or software infrastructure.



Anne Heider food Solutions have also developed a new range of software features centered around the provision and reporting of nutrition information for School Meals Scheme. The information can be used by Department of Social Protection to plan then report about each meal under the Food Safety Authority of Ireland (Irish and EU legislation on food safety).



It became necessary to launch a software development project to automatically capture nutrition and other meal data because of the offering and reporting of these new capabilities.



In this research we present the Anne Heider food Solutions new software new steps against the existing steps provided by Camarena software \[1\] Plan Menu/ Place Order: Integrated compliance check, \[2\] School sites enter daily notes: Integrated compliance check and \[3\] report to federal / state / local authority (Camarena, 2022).



## Research Approach  

This project is designed to be exploratory due to the nascent nature of Anne Heider food Solutions due the how and why of a recent series of events over which the investigator has little to no influence (Yin, 2014, p. 9).  

  

The research approach three main stages:  

1. Stage 1: understanding the context

2. Stage 2: understanding AI

3. Stage 3: investigating the opportunities and challenges of AI for citizen power to drive sustainable food systems in Ireland, document analysis, participant observation, and interviews.  

  

**Triangulation and Systems thinking:** 



The research is qualitative in nature, relying on thematic analysis[^2]. Triangulation—the use of evidence from many sources to support facts and findings—is made possible by gathering data from three different sources (Rowley, 2002; Yin, 2014), the epistemological lens of systems thinking, which is constrained by the researcher's worldviews of what defines sustainable food systems, is used to solve sustainability concerns. (Abson et al.,2017; Dorninger et al., 2020).



**Against the (Camarena, 2022) research approach, this project offers a new approach:**



### Data collection



in Stage 1 and Stage 2 used direct input from document analysis, participant observation, and interview, we will apply quality assurance criteria and extracting relevant information.  

  



### Data analysis



The project used thematic data analysis (NVivo software) to process the data in Stage 1 and Stage 2 and to ensure collection. to extract the major context factors from Stage 1 and the major AI factors from Stage 2, the process resulted in:



1. Stage 1 (**major context factors**) **against the (Camarena, 2022)**

2. Stage 2 (**major AI factors**) **against the (Camarena, 2022)**

3. Stage 3 relied on the data analysis of stage 1 (major context factors) and stage 2 (major AI factors). **against the (Camarena, 2022)**



[^1]: Company names in this article are pseudonyms.



[^2]: Thematic analysis is a method for analyzing qualitative data that

    involves reading through a set of data and looking for patterns in

    the meaning of the data to find themes.