Game of Nodes
Join the KNIME world workflow tournament, tackle data analytics challenges & conquer the Golden Node
Details & Rules
Welcome to KNIME Game of Nodes, the world's data science and workflow tournament!
We strongly believe that competitions and gaming serve as dynamic arenas where skill, strategy, and passion converge, creating an exciting tapestry of ingenuity, learning opportunities and triumphs.
With this event, we strive to bring together new and expert users in the KNIME community, foster learning and collaborative efforts, and provide teams with the opportunity to showcase their excellence in the creation of groundbreaking solutions with KNIME Analytics Platform.
What is Game of Nodes?
Game of Nodes is KNIME's data science world tournament where the KNIME community engages in battles of nodes and workflows to tackle data analytics challenges. In the customary atmosphere of encouragement, learning and open-mindedness of the KNIME community, the idea is to replicate a sort of soccer world cup but placing data, nodes and visual workflows at the center.
The tournament follows a single elimination format where teams tackle diverse and engaging analytics endeavors in each round. From training ML models to reporting and web scraping, only one team will conquer the KNIME Golden Node!
There are many reasons for participating in Game of Nodes. It’s a great chance to discover new facets and capabilities of KNIME Analytics Platform, challenge your current knowledge, acquire new skills, share brilliant solutions, and connect with other members of the KNIME community.
But most importantly, because we think it could be fun!
Tournament Structure
The Game of Nodes tournament is configured as a single elimination tournament with an initial round of qualifications.
At the end of the qualifications, only 16 teams will remain in the competition. In subsequent rounds (16, 8, 4 and finale), simultaneous matches will be played between two teams at the time.
In this tournament format, a team is immediately eliminated from the tournament after losing a single match or submitting an invalid solution. Defeated teams may play no further part after losing. Conversely, the winning teams move to the next rounds until only one winner is left.
Participation Requirements
Anyone in the KNIME community is welcome to participate – from newbies to expert users, data analysts, BI experts, data scientists, and more!
Participants are required to form teams (2-3 KNIME users max) and register their intention to participate. Teams that participated in the previous edition of Game of Nodes are welcome to register again. If you’re looking for teammates, consider asking on the KNIME Forum.
A maximum of 50 teams are allowed in the tournament. If the maximum team capacity is reached before the designated end of the registration period, registration will close ahead of schedule. Conversely, should the maximum capacity not be reached by the specified registration deadline, the tournament will proceed with the teams that have completed the registration process.
*Priority pass* In recognition of their long-standing commitment, the top Just KNIME It! KNinjas of the 2024 edition who wish to participate in the Game of Nodes tournament are granted direct access to the round of 16. In the interest of fair play for all teams in the tournament, each KNinja will have to form their own team. Participation of 2 or more KNinjas in the same team is not permitted. On par with any other team, KNinjas are required to register their teams.
Calendar
The Game of Nodes tournament will be run fully remotely, allowing every team to join and engage from home.
The only exception is the finale, which will be hosted as a hybrid event (on-site/online) at the KNIME Spring Summit 2025 in Berlin, Germany.
The tournament will adhere to the following calendar:
WHEN |
WHERE |
|
Registration |
Dec 2, 2024 - Jan 5, 2025 (closes at 11:30 PM CET) |
Online |
Qualifications |
Jan 6, 2025 - Jan 12, 2025 (submission by 11:59 PM CET) |
Online |
Round of 16 |
Jan 27, 2025 - Feb 2, 2025 (submission by 11:59 PM CET) |
Online |
Round of 8 |
Feb 10, 2025 - Feb 16, 2025 (submission by 11:59 PM CET) |
Online |
Round of 4 |
Feb 24, 2025 - Mar 2, 2025 (submission by 11:59 PM CET) |
Online |
Finale |
TBD |
Hybrid event at KNIME Spring Summit 2025, Berlin, Germany |
Challenge Topics and Dissemination
Challenges will encompass a variety of topics within data analytics, spanning from training predictive models and web scraping to engineering AI-driven solutions, creating geospatial maps, crafting compelling reports, and much more.
Challenges will be disseminated through dedicated teams’ private spaces on the KNIME Hub. In the round of qualifications, the same challenge will be assigned to all registered teams.
In subsequent rounds, different challenges will be assigned randomly to competing teams. Teams in the same match will receive the same challenge.
Submission Requirements
KNIME Analytics Platform version 5.4 is the tool of choice of the tournament. Solutions submitted with tools other than KNIME Analytics Platform version 5.4 will not be accepted.
Solutions must be submitted in the team’s private space on the KNIME Hub. Only solutions submitted in a timely fashion will be assessed. Check the calendar of the tournament for the exact submission deadlines (we will verify the date and time of the latest workflow edits). Late submissions to the Game of Nodes tournament will not be accepted.
English is the official language of the tournament. Only workflow documentation written in English will be assessed.
No official KNIME solutions will be provided or shared publicly.
Assessment Committee
*New*
In this season of Game of Nodes, the KNIME community is given the chance to evaluate the submitted solutions and decide what teams will advance to the next round by casting their vote on the KNIME Forum.
The KNIME community will vote for teams in the:
- Round of 16
- Round of 8
- Round of 4
To be able to vote, a free account on the KNIME Forum is required. Members of the competing teams are not allowed to cast a vote for their own team. However, they are allowed to vote for other teams.
The KNIME Team, composed of expert data scientists, engineers, and analysts, will evaluate the submitted solutions and collectively decide which teams advance through the following rounds:
- Qualifications
- Finale
To ensure fair play, the KNIME Team reserves the right to intervene at any time to cast the deciding vote in case of a tie, to address irregularities, distortions, or fraudulent activities, including but not limited to voting during the Round of 16, 8, and 4. The KNIME Team will also step in to finalize the evaluation, if there are not enough evaluations from the KNIME community.
Upholding fairness and excellence remains the KNIME Team’s top priority.
Accessibility of Submitted Solutions
*New*
To allow the KNIME community to access and evaluate the submitted solutions, the KNIME Team will create a public copy of each team's space after the submission deadline for each round has passed.
For the competing teams in the tournament, this means that your submitted solutions will be publicly visible for assessment. Teams are encouraged to submit polished and neat solutions to facilitate the task of the evaluators.
Assessment Criteria
*New*
The KNIME community and the KNIME Team will assess solutions against the 5 following criteria:
- Adherence & Correctness: Adherence to the task described in the challenge and correctness of the implementation.
- Portability & Documentation: The seamless execution of the analytical solution across different operating systems without significant modifications or disruptions. The clarity, consistency and thoroughness of the supporting information related to the solution.
- Automation: Meaningful strategies to reduce the need for manual labor in data operations.
- Results: The insightfulness and compelling quality of the outcomes. For challenges in predictive analytics, model performance will also be assessed.
- Creativity & Customization: The originality, interactivity and aesthetic appeal in the presentation of outcomes.
After completing the assessment, the KNIME community may proceed with voting on the KNIME Forum.
For the KNIME community, the criteria listed above serve as a compass for voting. The KNIME community is not required to assign scores. However, community members are encouraged to explain their choices by leaving comments in the designated section of the KNIME Forum, if they wish.
During the assessment of Qualifications, the KNIME Team will assign a score of 0-5 for each criteria listed above. Points are: 5 = Excellent, 4 = Very Well, 3 = Well, 2 = Fairly Well, 1 = Qualifies and 0 = Does Not Qualify.
Qualification scores will be published on the KNIME Forum.
Teams are strongly encouraged to submit high-quality work throughout the tournament in order to improve their chances of advancing to the subsequent rounds.
Prizes
Teams that successfully submit their solutions will receive a celebratory digital badge. Additionally, the finalist and winner teams will receive KNIME goodie bags, a custom t-shirt of the tournament, and will be invited as guests on the KNIME webcast, My Data Guest.
The first-ranked team will be awarded with the KNIME Golden Node, the official trophy of the tournament, in recognition of the team’s outstanding performance.
Speakers
Michael Richter
Director of Business Intelligence
Hennessy Automotive Group
Jennifer Ostyn
Michael Berthold is co-founder of KNIME, the open analytics platform used by thousands of data experts around the world. He is currently president of KNIME.com AG and a professor at Konstanz University, where his research interests include bisociative data analysis and widening of mining algorithms. Previously he held positions in both academia (Carnegie Mellon, UC Berkeley) and industry (Intel, Tripos). Michael has co-authored two successful data analysis text books and is a frequent speaker at both academic and industrial conferences. If time permits he still writes code.
Kyle Thompson
Kyle Thompson is a Scientific Content Engineer at CAS, a Division of the American Chemical Society. As a trained biochemist, he has spent 11 years at CAS building databases, creating custom solutions for customers, and performing data analysis. He has been using KNIME since 2019, and in that time he has become KNIME L1-L3 Certified as well as being part of the inaugural Train the Trainer program. He lives in Columbus, Ohio with his wife and 2 kids.
Speakers
Michael Berthold
KNIME
Margaux Borgmann
AUDI
Simon Herzog
AUDI
Maxim Rube
Siemens Healthineers
Sandra Baumann
Siemens Healthineers
Philipp Kowalski
SIEMENS
Ulrich Wagner
WIMEX
Dr. Michael Wolff
thaltegos
Michael Berthold
KNIME
Simon Herzog
AUDI
Current Position: Data Analyst in Production & Logistics at Audi Neckarsulm
Education: Bachelor Business Informatics DHBW Mosbach, Master Big Data & Business Analytics FOM Stuttgart.
Experience: Dual Studies at Audi Neckarsulm, Audi Global Intern in Beijing, Supply Chain Manager during Covid and semiconductor-crisis, project management, Data Science, applied AI and Machine Learning for supply chain use-cases”
Maxim Rube
Siemens Healthineers
Maxim Rube: Driving Data-Driven Automation and Analytics at Siemens Healthineers AG with KNIME
Leading the Global Automation & Analytics Service with KNIME at Siemens Healthineers AG, I'm passionate about revolutionizing how businesses harness data for transformative growth. With a track record of success in consulting diverse business stakeholders across Siemens, I bring a wealth of expertise to the table.
In my role, I spearhead initiatives aimed at democratizing data-driven Automations and Analytics, empowering businesses to thrive in the digital age. From consultation to execution, my team and I are committed to delivering impactful solutions tailored to specific business needs.
With multiple years of experience under my belt, I understand the intricate dynamics of navigating data projects, ensuring seamless project management and delivery every step of the way.
Sandra Baumann
Siemens Healthineers
Sandra Baumann: Excited to embark on my journey as a Trainee in Data Science!
As a part of the global KNIME initiative at Siemens Healthineers AG, I'm leveraging my passion for analytics and problem-solving to drive insights and innovations through data-driven projects in different business areas.
Equipped with a solid foundation in marketing, data analysis and machine learning, as well as experience in handling various datasets - from medical images to business data - I'm working hands-on on our internal customer’s challenges to uncover actionable insights that drive business growth and transformation.
As a Trainee in Data Science, I'm committed to continuous learning and growth, staying abreast of the latest trends and technologies in the field to deliver cutting-edge solutions that make a difference for healthcare delivery
Philipp Kowalski
SIEMENS
Philipp is a Digital Enablement Agent at Siemens, optimizing procurement through digitization, using no-code/low-code tools. With over 20 years of experience in this field, he is also an experienced trainer. He runs ProcurementZen, a blog and YouTube channel about best practices in digitization for finance professionals
Ulrich Wagner
WIMEX
Studied economics in Regensburg, Germany. Starts the career after the reunification of East-Germany with a farm business near Leipzig. Build up the WIMEX group together with his father and a CEO college. Shareholder and CEO of the WIMEX group. The group works in the field of poultry breeding, vegetable farming and trading, arable farming, feed production, renewable Energy with biogas, PV and wind, IT-Solutions and Start-ups in Smart farming and Food-tech
Honorary work:
Chairman of the DLG Committee on Farm Management
Member of DLG-Main Committee Agriculture
Workgroup member of the Committee Banks and Insurances
Senator in the Senate of economy
Chairman of the Board Banat Agro Romania
Dr. Michael Wolff
thaltegos
Workshops
Workshop 1: Discover KNIME Analytics Platform 5.2: An introductory workshop
What to expect:
- Explore KNIME: Familiarize yourself with the interface and navigation of the KNIME Analytics Platform.
- Data Literacy Basics: Extract and share significant insights from data.
- First KNIME Workflow: Build your own workflow hands-on, with data access, cleaning, transformation, and visualization.
What to bring:
- Laptop with KNIME AP 5.2 installed
Workshop 2: Automating & productionizing your first workflow with KNIME Business Hub
What to expect:
- Explore KNIME Business Hub: Getting to know the concepts and features of KNIME Business Hub.
- Deployments: Put your first workflow into production.
- Collaboration: Share your work with colleagues.
What to bring:
- Laptop with KNIME AP 5.2 installed
Agenda
Frequently Asked Questions
What level of KNIME proficiency is needed for this tournament?
There are no formal KNIME prerequisites to participate in the tournament. However, it is advisable to have prior experience in building workflows and components with KNIME Analytics Platform. Proficiency equivalent to our advanced KNIME Analytics Platform courses (L2-level) is recommended.
What resources will help me prepare for the tournament?
Browse our extensive educational material and get your KNIME knowledge up-to-speed: E-Learning, KNIME Books, Cheat Sheets, Just KNIME It! or KNIMETV.
Will we be able to get support?
In case you hit a roadblock or find yourself in a tight spot, the KNIME Forum is the right place to seek help. Don’t be shy and engage with the community to ask for support!
How can we contact the tournament master?
For questions or doubts concerning the tournament administration, challenge dissemination, submissions or other organizational matters, please contact: roberto.cadili@knime.com.