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  • Lecture time: Thursday: 13:30:00 - 14:20:00 ET
  • Lab time: Tuesday: 13:30:00 - 15:20:00 ET
  • Domain: Agriculture
  • Keywords: Agriculture, Market Development
  • Tools: Data Exploration, Feature Engineering, Machine Learning, Python, Time Series Data Analysis
  • Citizenship: Open to all students
Summary

In the ever-evolving world of agri-business, understanding market trends and predicting future prices is crucial for strategic decision-making. The project aims to combine various market indicators to identify trends and forecast prices in key market areas.

BASF - Market Models
Open for Registration NDMN/IDM
  • Lecture time: Friday: 09:30:00 - 10:20:00 ET
  • Lab time: Monday: 09:30:00 - 11:20:00 ET
  • Domain: Agriculture
  • Keywords: Agriculture, Market Development, Market Trends
  • Tools: Data Exploration, Feature Engineering, Machine Learning, Python, Time Series Data Analysis
  • Citizenship: Open to all students
Summary

In order to better understand how to deliver solutions for our customers we wish to better understand the market dynamics a grower faces. Specifically, within key market segments. Tools for evaluation will be at the student's discretion.

  • Lecture time: Monday: 09:30:00 - 10:20:00 ET
  • Lab time: Friday: 09:30:00 - 11:20:00 ET
  • Domain: Agriculture
  • Keywords: Agriculture, Climate Change, Crop Yield, Public data access, Weather Data
  • Tools: Linux, Public Data Access, Python, R, Spatio-temporal analysis, Statistics
  • Citizenship: Open to all students
Summary

Improve our understanding of potential climate change effects on business operations and agriculture in general.

  • Lecture time: To-be-determined: 00:00:00 - 00:00:00 ET
  • Lab time: To-be-determined: 00:00:00 - 00:00:00 ET
  • Domain: Chemical Informatics
  • Keywords: AHA, AI, Case Management, Customer Requests, Jira, Machine Learning, NLP, Salesforce
  • Tools: AWS, Canvas AI, Power BI, Python, SQL, Tableau
  • Citizenship: Open to all students
Summary

Improve customer experience through case data and knowledge management.

CAS - Customer Training Leveraging LLMs
Closed for Registration
  • Lecture time: To-be-determined: 00:00:00 - 00:00:00 ET
  • Lab time: To-be-determined: 00:00:00 - 00:00:00 ET
  • Domain: Chemical Informatics
  • Keywords: ChatGPT, Expert System, In-product Help, Large Language Models, NLP, Training Materials
  • Tools: Large Language Models, Python
  • Citizenship: Open to all students
Summary

Experimenting conversational assistants with a chatbot-driven user interface that is powered by LLMs on product help and customer training.

  • Lecture time: To-be-determined: 00:00:00 - 00:00:00 ET
  • Lab time: To-be-determined: 00:00:00 - 00:00:00 ET
  • Domain: Manufacturing
  • Keywords: Automation, Chemicals, Corrosion, Data Analytics, Materials, Pharmaceutical
  • Tools: Data Analytics, Power BI, Python, UX, Web-scraping
  • Citizenship: Open to all students
Summary

This project will work with Evonik Engineers to create a dynamic program that will generate Materials of Construction Matrices to determine compatibility using corrosion rates, temperatures, and concentrations.

NIIMBL - Simulated Manufacturing
Open for Registration
  • Lecture time: Monday: 09:30:00 - 10:20:00 ET
  • Lab time: Friday: 09:30:00 - 11:20:00 ET
  • Domain: Pharmaceutical
  • Keywords: Data Analytics, Experimental Data Modeling, Manufacturing
  • Tools: Data Modeling, Ontology Development, Python, R
  • Citizenship: Open to all students
Summary

Create rich manufacturing datasets by combining models based on data from small, designed experiments with simulated inputs which have random variance built in.

  • Lecture time: Tuesday: 12:30:00 - 13:20:00 ET
  • Lab time: Thursday: 11:30:00 - 13:20:00 ET
  • Domain: Digital Agriculture
  • Keywords: Big Data, Business Intelligence, Crop Monitoring, Data Analysis, Disease Detection, Precision Agriculture, Predictive Analysis
  • Tools: AWS, Docker, java, Neural Network, Python, R, Tableau, Time Series Data Analysis
  • Citizenship: Open to all students
Summary

Analyzing satellite images to uncover the risk of fungi using time series analysis and artificial intelligence. Enhance AgRPA Crop Monitoring platform by working with extensive datasets sourced from satellite images, aerial flights, and climate records.

  • Lecture time: Tuesday: 13:30:00 - 14:20:00 ET
  • Lab time: Thursday: 13:30:00 - 15:20:00 ET
  • Domain: Agriculture
  • Keywords: Agriculture, Classification, Customer Behavior, Data Exploration, Data Exploration, Machine Learning, Prediction
  • Tools: Classification, Excel, Machine Learning, marketing analytics, Python, R, Snowflake, Tableau
  • Citizenship: Open to all students
Summary

AgReliant wants to greatly increase the efficiency with which AgReliant sells to customers. We want to use Data Science and Machine Learning techniques to gain a better understanding of our customer base through segmentation and predictive behavior modeling.

  • Lecture time: Friday: 11:30:00 - 12:20:00 ET
  • Lab time: Monday: 11:30:00 - 13:20:00 ET
  • Domain: Mathematics
  • Keywords: Automation, Data Cleaning, Data Visualization
  • Tools: Excel, FileMakerPro, Python, Tableau
  • Citizenship: Open to all students
Summary

Help get this historical data into a modern database that can (1) allow us to import the data into the AMS relational database and (2) build a public-facing dashboard so people can explore trends and answer their pressing questions about mathematicians’ salaries, PhDs, and more!