Dates

June 17-18, 2023 (Saturday - Sunday).

Project and Submission Requirements

  1. Write up of what you did with snapshots of the segments of the KNIME workflow and explanation of what those sections of the workflow does and how it is done
  2. Video demonstration of the workflow in action
  3. Actual workflow shared under MIT license

 

Prizes

All Participants

Every hackathon participant will receive:

  • A digital badge for their attendance and successful project completion/presentation, which can be added to social media profiles and CVs
  • Access to all KNIME certification exams for free
First, Second and Third Place Team Members
  • Digital badge & real trophy for ranked place
  • Award Ceremony video shared on KNIME TV (YouTube)
  • KNIME gadget bag for each team member
Second & First Place Team Members
  • Project Presentation at a Data Connect North America hybrid event (Austin, August, 2023)
  • Free attendance to one of KNIME L4 courses
First Place Team Members
  • The three (3) members of the winning team will be offered:
    • A paid Summer internship at KNIME Inc. The internships will occur onsite in the KNIME office in Austin, TX, and last four (4) to six (6) weeks between July 10, 2023 and August 18, 2023. The exact duration will depend on each intern’s availability. Lodging in Austin will be provided for the duration of each internship.
    • an interview in the LinkedIn Live interview series My Data Guest with Aline Bessa, Data Scientist at KNIME.

 

Judging Criteria and Winner Selection

Innovation & Creativity (20%)

  • Novel Approach: Uniqueness in the solution's concept, addressing the challenge in a way not seen before.
  • Cutting-Edge Technologies: Utilization of the latest technologies or methodologies to enhance the solution.
  • Creative Problem-Solving: The ability to think out of the box to overcome challenges and improve functionality.

Effectiveness & Impact (20%)

  • Meets Objectives: The extent to which the solution fulfills the stated goals and objectives of the hackathon challenge.
  • Potential Scale of Impact: Evaluation of how the solution could make a significant difference at a local or global scale.
  • Actionable Insights: The solution's capacity to provide practical and implementable insights or outcomes.

User Experience & Design (20%)

  • Intuitive Use: The ease with which end-users can navigate and understand the solution without extensive training.
  • Aesthetic Design: The visual appeal of the solution's interface, ensuring a positive user interaction.
  • Accessibility: Inclusiveness in design to cater to users with disabilities and various levels of technological proficiency.

Data Handling & Performance (20%)

  • Integration of Diverse Data: Effective assimilation and management of various data sources relevant to the challenge.
  • Data Analysis & Processing: Effective methods for analyzing and processing data to derive meaningful insights.
  • Stability & Robustness: The solution's ability to perform consistently under different conditions and handle errors gracefully.

Completeness of Documentation (20%)

  • Clear Explanation of Features: Comprehensive documentation detailing the features and capabilities of the solution.
  • User & Developer Guides: Inclusion of guides that facilitate the understanding and use of the solution for both end-users and developers.
  • Technical Specs & Data Flow: Detailed explanation of the technical architecture, data flow, and interaction between components.