Participating teams must register and pay the $40 non-refundable registration fee by September 17, 2023.
Please send questions to Trisha Hartman at email@example.com.
Welcome to the Data 4 Good Case Competition, jointly sponsored by the Mitchell E. Daniels, Jr. School of Business master’s programs – MSBAIM, MSGSCM, MSM, Krenicki Center, Microsoft, INFORMS, Prediction Guard, and Certiport.
At the crossroads of critical thinking, data analysis, artificial intelligence, and communication, this elite case competition is designed to challenge undergraduate and graduate students across the country to compete for $45,000 in prize money.
Registered teams will receive free practice exams and vouchers to complete the Exam AZ-900: Microsoft Azure Fundamentals - Certification*, $99 value/exam available to you at the $40/team case competition registration fee cost!
This holistic experience not only provides an opportunity to use data, technology, process, and research-based methods to make good decisions for good problems, but also connects participants to leading data analytics organizations through credentialling and networking.
Registering and paying the $40/team registration fee guarantees the following:
*Microsoft and INFORMS JTA training sessions are an exclusive opportunity available only to those who participate in the case competition. These sessions are not open to the public.
This event is open to students currently pursuing an undergraduate or graduate degree. Teams must register as groups of 3-4 students — all undergraduate students or all graduate students, as the evaluation varies based on education level. It is recommended to form a multi-disciplinary team that can work cross-functionally on the case.
Region 1: Undergraduate Team Winner: $2,000 | Graduate Team Winner: $2,000
Region 2: Undergraduate Team Winner: $2,000 | Graduate Team Winner: $2,000
Region 3: Undergraduate Team Winner: $2,000 | Graduate Team Winner: $2,000
Region 4: Undergraduate Team Winner: $2,000 | Graduate Team Winner: $2,000
Region 5: Undergraduate Team Winner: $2,000 | Graduate Team Winner: $2,000
First Place: Undergraduate Team Winner $6,500 | Graduate Team Winner $6,500
Second Place: Undergraduate Team Winner $4,000 | Graduate Team Winner $4,000
Third Place: Undergraduate Team Winner $2,000 | Graduate Team Winner $2,000
Are you ready to take on this challenge?
*Students can complete training sessions live or via recordings
Early 2024 – students who qualify will be accepted into the Microsoft Learn Student Ambassadors program
Early 2024 – students who earn their Exam AZ-900: Microsoft Azure Fundamentals will have the opportunity to participate in a career fair with Microsoft Partners and Customers
Teams can earn points collectively and individually by participating in the available trainings, practice exams, and certifications.
|Individual Points (max)||Team Points (max)*|
|Attended Prediction Guard Kickoff & Q&A session (or recording)||150||450||5%|
|Attended AZ-900: Microsoft Azure Fundamentals expert training session (or recording)||400||1200||12%|
|Launch the AZ-900: Microsoft Azure Fundamentals practice exam||150||450||5%|
|Pass the AZ-900: Microsoft Azure Fundamentals certification*||1000||3000||30%|
|Attended AI-900: Microsoft Azure AI Fundamentals expert training session (or recording)||250||750||8%|
|Completed INFORMS CAP JTA training session (or recording)||150||450||5%|
|Launch the AI-900: Microsoft Azure AI Fundamentals practice exam||150||450||5%|
|Kaggle Score (per team) [Standardized up to 3000]||3000||30%|
*Average scores used among team of 3-4 people per team
The 2023 Purdue “Data for Good” challenge will be focused on a data extraction problem. The inputs to participant systems will be anonymized or synthesized transcriptions of medical conversations and dictations (e.g., conversations between a patient and doctor). The outputs that team systems will need to produce are various pieces of information needed to fill out medical forms. The systems developed by participants should leverage LLM-based logics/chains to extract, rephrase, summarize, validate, etc. the target information from the provided transcription.
By way of example, take the following synthesized medical conversation between a patient and a doctor (from here, where “D” represents a statement from the doctor and “P” represents a statement from the patient). Assume that this conversation has been recorded and accurately transcribed to text.
In a typical medical form, a healthcare worker might need answer the following questions on a medical form (or provide the corresponding information in another format):
To unburden healthcare professionals and volunteers, participant systems should be able to answer these kinds of questions with accurate information extracted from the transcription. The challenge task is thus structured as a question answering task with data that looks like:
|Sample ID||Conversation ID||Question||Answer|
|1||694a024e-f4…||What symptoms…||Pain on the outside…|
|2||694a024e-f4…||When did the…||3 months ago|
|3||694a024e-f4…||What is the…||<unknown>|
The participants will be given the transcriptions of all of these medical conversations/ dictations referenced in the “Conversation ID” column, and their submitted answers will be compared to the preferred answers in the “Answer” column. Note, that various answers might be informationally accurate, but we are trying to recreate the preferred answers in the “Answer” column.
We are pleased to have the following sponsors for the School of Business Case Competition - Data Analytics for Good!
Purdue University’s Daniels School of Business is the aspiring business leader’s most vibrant ecosystem for mastering the analytical problem-solving and tech-commercialization skills that move industry forward and change the world. Focused on offering students business experiences that go beyond the classroom, the school is uniquely positioned inside a globally renowned STEM institution, with a dynamic corporate-partnership R&D community.
Collaborating with faculty, students and corporate partners, the Krenicki Center for Business Analytics & Machine Learning enhances research and dissemination of state-of-the-art information technologies and analytical techniques to use the vast amounts of data available today to deliver actionable insights for business decision making.
Microsoft enables digital transformation for the era of an intelligent cloud and an intelligent edge. Its mission is to empower every person and every organization on the planet to achieve more. Microsoft operates in 190 countries and is made up of more than 220,000 passionate employees worldwide.
With more than 12,500 members around the globe, INFORMS is the leading international association for professionals in operations research, analytics, management science, economics, behavioral science, statistics, artificial intelligence, data science, applied mathematics, and other relevant fields.
Prediction Guard helps companies that want to adopt the latest wave of Generative AI models but feel blocked due to privacy, security, or reliability concerns. They provide companies with an easy-to-use platform and related services that make safe and trustworthy Large Language Model (LLM) applications a reality.
Certiport is the leader in industry-recognized performance-based certifications. Certiport was established in 1997 and acquired by Pearson VUE in 2012, and is headquartered in Lehi, Utah. Globally recognized as the leading provider of certification exam development, delivery, and program management services, Certiport delivers exams through an expansive network of nearly 16,000 Certiport Authorized Testing Centers (CATCs) worldwide through which Certiport delivers more than 3,000,000 exams annually. The markets that Certiport serves include secondary, post-secondary, workforce development, and corporate technology markets. Certiport is active in 148 countries through a combination of employees and strategic partnership, and Certiport provides certification exams in 27 languages.