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Palestrantes

  • Matthew Lanham Foto de rosto

    Matthew Lanham

    Assistant Professor of Business Technology & Analytics at Butler University Lacy School of Business

  • Naser Nikandish Foto de rosto

    Naser Nikandish

    Associate Professor, Operations Management & Business Analytics Academic Program Director at Johns Hopkins Carey Business School

  • Daniel Whitenack Foto de rosto

    Daniel Whitenack

    Founder and CEO at Prediction Guard

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Data4Good Competition Kickoff & Case Discussion

October 2025
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Session Slides

Summary

This session introduces the Data4Good Competition, aimed at undergraduate and master students worldwide to address real-world challenges using data and AI.

The Data4Good Competition is an annual event inviting students to solve real-world problems with data and AI. This year, the competition is free and open to students outside the United States, with participants forming teams of three to four members from the same institution and degree level. The competition includes webinars and training sessions, culminating in a case challenge. Participants will gain skills in AI, analytics, and problem-solving, with opportunities for internships and prizes. Supported by sponsors like DataCamp, InForms, and SAS, the event offers a chance to earn certifications and badges in AI and analytics.

Key Takeaways:

  • Data4Good Competition is open to undergraduates and master students globally.
  • Participants form teams of three to four from the same institution and degree level.
  • The competition includes webinars, training sessions, and a case challenge.
  • Opportunities for internships and prizes, including $16,000 in regional prizes.
  • Supported by sponsors like DataCamp, InForms, and SAS.

Details

Competition Structure and Participation

The Data4Good Competition challenges students to apply data and AI to solve real-world proble ...
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ms. Participants must form teams of three to four members from the same institution and degree level. The competition is free this year, and students from outside the United States can participate as part of Region 4. Teams must register by October 31, and the competition includes a series of webinars and training sessions. "This event is free this year, but there is a slight fee if you choose to take the Microsoft AI 900 certification," said Matthew Lanham, one of the organizers.

Webinars and Training Sessions

The competition includes several professional development events, such as a session on the Informs analytics framework and training on Microsoft AI fundamentals. Participants can earn points by attending these sessions, which are designed to fill knowledge gaps and enhance skills. The training provides valuable insights not typically covered in academic programs. "The training that you are gonna get from this competition will give you the overall kind of general here are the seven domains that a certified analytics professional would need to know," Lanham explained.

Case Challenge and DataLab

The case challenge is a major component of the competition, accounting for 37% of the points. Participants will use DataLab and DataCamp to work on the challenge, which involves verifying the factual accuracy of AI-generated outputs. Daniel Whitenack, a data scientist involved in the competition, emphasized the importance of creativity and problem-solving in tackling the case. "Your goal as a competition participant is to build a system that will take in these three fields, the question, the context, and the answer, and will output the correct type," he stated.

Prizes and Opportunities

The competition offers $16,000 in regional prizes, with $2,000 awarded to the top undergraduate and graduate teams in each region. Regional champions will be invited to the national championship at Johns Hopkins University. Additionally, participants have the chance to earn internships and certifications, enhancing their career prospects. Aaron Burciaga from ZETECH mentioned, "I will have two internships ready to sign with me at the competition."

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