The state of Iowa is known for its rich educational institutions and the immense potential of its college students. As the world delves deeper into the era of big data and Multimodal AI, it's essential to harness these technologies for social good. This challenge aims to bring together the brightest minds from Iowa's colleges to tackle pressing societal issues using big data and Multimodal AI.
This challenge is open to any full-time students in Iowa ages 18-24. No coding or technical knowledge necessary. To enter the AI Challenge, select a track, assemble a team of 3-5 students, and fill out the form below. We will provide you with more details on the challenge such as project timeline, requirements, materials and more.
Objective:
Develop an AI solution that leverages big data to address a social issue relevant to the Iowa community by choosing one of the tracks below. Solutions should be innovative, scalable, and have a tangible positive impact.
Objective: Iowa’s agriculture sector faces mounting pressures from unpredictable weather patterns, soil degradation, water quality concerns, and the need to increase efficiency while reducing environmental impact. Explore how you may use AI-enabled solutions to address one of the following key areas within this sector:
• Livestock (e.g. monitoring and improving animal health...)
• Crops (e.g. monitoring and improving crop health...)
• Farm operations
• Water and soil use
• Labor (e.g. the next farm workforce...)
Objective: Iowa’s financial ecosystem faces challenges around financial literacy, access to credit for rural and underserved communities, and protecting consumers from fraud in an increasingly digital-first economy. Explore how you may use AI-enabled solutions to address one of the following key areas within this sector:
• Financial literacy
• Fair financial assessments for small farms and businesses
• Detecting fraud and scams
• Helping students and families budget and save
Objective: Education in Iowa is challenged by disparities in learning outcomes, teacher shortages, and the need to prepare students for a digital economy while ensuring equitable access to quality instruction. Explore how you may use AI-enabled solutions to address one of the following key areas within this sector:
• Personalized learning support for students
• Tools that ease teacher workload
• Accessibility for diverse learners
• Early warnings when students need extra help
Objective: As Iowa’s economy and public services become more digitized, individuals and organizations face increasing risks from cyberattacks, data breaches, and privacy erosion. Explore how you may use AI-enabled solutions to address one of the following key areas within this sector:
• Safer logins and ID checks
• Stopping scams across email, text, or calls
• Protecting privacy while sharing data
• Fun, engaging cybersecurity training
Team Composition:
• Students ages 18-24 can apply in teams of 3-5.
• We are encouraging interdisciplinary participation – students from backgrounds in not only STEM fields, but also the social sciences and humanities are welcome to participate.
• Individuals may apply to participate in the challenge without being part of a team and will be placed with a team by competition organizers.
• You should expect that much of your collaboration will be virtual
Data Sets:
Participating teams must share the data sources they use, and may also create their own data sets. Data sets may be created using qualitative or quantitative methods, but teams...
• must share the data set,
• share the methods they’ve used to create the data (if applicable),
• and ensure all personally identifiable information is redacted (we strongly advise that you do not collect it). This means that for any datum which is created, an independent user of that datum must not be able to ascertain who the data is specifically about.
• A starting point for data sets that can be useful for the challenge is located here.
Multimodal AI:
Solutions should utilize multiple AI modals. This could mean combining Natural Language Processing (NLP) to understand textual data, Computer Vision for image data, and Predictive Analytics for trend forecasting, among others. Example, a model that produces classifiers for flood warnings based on both aerial photographs of and geodata.
Project Example:
https://www.microsoft.com/en-us/ai/ai-lab-projects
Any student attending college and pursuing an undergraduate degree in the state of Iowa. Participants are required to sign up in teams of 3-5 students.
Yes! This challenge was created to be accessible to students in any field of study, with or without a technical background or experience working with AI.
Sign up to get more information on submission requirements and details pertaining to the challenge.
Mentors are expected to share high-level advice and insights to inspire teams, not provide detailed plans or advice on using AI programs. The focus is on encouragement to foster creativity and problem-solving.
Pi515 will provide access to AI programs, data sets, and all the resources students need to successfully complete the challenge. Sign up to get more information.
