Unleashing the Power of Data Science: A Case Study of Nutri Mondo’s Approach to Ending Food Insecurity
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ASSIGNMENT INSTRUCTIONS:
In this case study, you will play the role of an intern at Nutri Mondo. Below, read the e-mail from Susana Maciel, the director you will be working with throughout this case study:
SUBJECT: WELCOME TO THE TEAM!
FROM:
TO: YOU
Hello and welcome to the team here at Nutri Mondo!
We are so glad that you can intern here and I am excited to be your director while you are with us. As you know, our organization relies on data science to help local communities understand the impact of food insecurity and craft solutions that can help them end the injustices and challenges that come with limited access to healthy food. We have collaborated with IBM and their data science team to help new employees, interns (like yourself), and communities understand why we use data science to create valuable insights that can lead to real, positive social change. Since it is such a relatively new field, I have selected several videos and articles I am sure you will find useful. You will also get to meet one of our data science teams, who will be walking you through one of our latest projects, so you can get a sense of what they do and how they do their work.
I will be reaching out to you soon to hear what you think about the team. You will be reporting back to me on what you learned during your internship with us. I look forward to hearing from you soon.
Sincerely,
Susana Maciel
Director
Nutri Mondo
To prepare for this assignment, review your Learning Resources. Then, go to the World of Data ScienceLinks to an external site., visit Miami to meet the data science team at Nutri Mondo.
For the assignment, write a report to your director, Susana, about the data science team at Nutri Mondo. Think about insights you gained from the videos of data scientists and from the articles you read. Then, write 4-6 paragraphs that answer the following questions:
1. How would you define data science?
2. Why has the role of data science become so important to businesses and other organizations?
3. What factors have led to big data being available and accessible, even to smaller companies and organizations
4. At Nutri Mondo, what is the value of the data science team’s work within the context of the organization?
Readings:
Data science: An introduction Links to an external site.. https://www.sitepoint.com/premium/books/data-science-an-introduction/read/1/kr36khkg/
Walden University, LLC. (Producer). (2018i). Case study: Meet a data science team.Links to an external site. Baltimore, MD: Author.
In the World of Data Science, visit Miami and go to the Nutri Mondo website to learn about the data science team.
HOW TO WORK ON THIS ASSIGNMENT (EXAMPLE ESSAY / DRAFT)
I’ve got the chance to learn about the crucial role data science plays in Nutri Mondo’s efforts to eradicate food insecurity while working there as an intern. To glean insights from data, data scientists employ statistical and computational methods. To tackle complicated issues, it incorporates knowledge from a variety of domains, including computer science, mathematics, and domain knowledge.
In recent years, as more organizations have come to understand the significance of data-driven decision-making, the importance of data science has increased substantially. Organizations can find patterns, trends, and insights through data analysis that can help them make strategic decisions, increase operational effectiveness, and spur innovation. Data science has proven particularly important in addressing difficult societal problems like food poverty, where data can offer important insights into the underlying causes of the problem.
The availability and accessibility of big data, especially for smaller businesses and organizations, have been facilitated by several factors. First, technological developments have simplified the storage and processing of massive volumes of data. Second, the production of data has exploded as a result of the expansion of the internet and social media. Finally, accessing and analyzing data has become simpler for enterprises because of the growth of cloud computing and data-sharing platforms.
The data science team at Nutri Mondo is essential to the company’s attempts to eradicate food insecurity. The team will be able to pinpoint the underlying causes of food insecurity and create evidence-based strategies to address them by examining data on food access, affordability, and quality. To identify communities at risk of food insecurity, for instance, and to prioritize interventions in such places, the team has built a predictive model. The organization’s goal of bringing about good social change by putting an end to food insecurity in local communities is made possible in large part by the efforts of the data science team.
In conclusion, Nutri Mondo’s efforts to eradicate food hunger depend heavily on data science. As an intern, I’ve developed a deeper appreciation for the value of data-driven decision-making and the contribution that data science makes to fostering constructive social change. I’m eager to continue picking up knowledge from the data science team and making a difference in Nutri Mondo’s objective.
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