GRAPH FOR ALL MILLION DOLLAR CHALLENGE is a global search for innovative ways to harness the power of graph technology to solve real problems. Solutions will be judged across 4 prize categories:
- The Most Impactful Solution
- The Most Innovative Use Case of Graph
- The Most Ambitious and Complex Graph
- The Most Applicable Graph Solution
We want to unlock peoples' passions and creativity for solving problems that matter most to them and to show the world through the diverse submissions that graph has vast use case potential and the power to find insights behind complex problems. Graph technology is already a “must-have” for healthcare, financial services, manufacturing, and media. The possibilities are endless.
What Will You Build With TigerGraph?
Select a problem statement from the list or choose your own. Your task is to use TigerGraph’s graph analytics platform to uncover transformative solutions to a real-world problem you are passionate about.
What to Submit
- Demo video. Your video should be under 3 minutes, include a demo of how your solution works, and highlight your novel idea.
- Code. Provide a URL and access to your GitHub code repository. Your repository should include all your relevant project code and a README with getting started instructions that allow others to test your project (here is an example). Provide access by making your code public or sharing access with devposttesting and TigerGraph-MDC GitHub accounts.
-
Write-Up. Provide a written defense of your project, explaining its strength in each of the four judging criteria (see Judging and Criteria in the Rules). Provide supporting facts and statistics as appropriate. The response for each criterion may be up to 250 words. The four criteria are:
- Impactfulness - for solving a real-world problem
- Innovativeness - for use of Graph
- Ambitiousness - for the scale and complexity of the Graph
- Applicability - for adoption in the real world
Prizes
$1,020,000 in prizes
Grand Prize
$250,000 USD to one winning submission with the highest overall score across all four judging categories
Women Who Graph
$30,000 USD to one all-women team or individual woman with a submission earning the high overall score
Most Popular
$20,000 USD to one Finalist submission with the most votes
Most Impactful | 1st Place
$100,000 USD
Most Impactful | 2nd Place
$50,000 USD
Most Impactful | 3rd Place
$25,000 USD
Most Innovative | 1st Place
$100,000 USD
Most Innovative | 2nd Place
$50,000 USD
Most Innovative | 3rd Place
$25,000 USD
Most Ambitious | 1st Place
$100,000 USD
Most Ambitious | 2nd Place
$50,000 USD
Most Ambitious | 3rd Place
$25,000 USD
Most Applicable | 1st Place
$100,000 USD
Most Applicable | 2nd Place
$50,000 USD
Most Applicable | 3rd Place
$25,000 USD
Partner Employee Prizes | 1st Place
• Awarded to a Partner Employee Submission
• $10,000 USD donation to their charity of choice, subject to Sponsor’s review and approval
Partner Employee Prizes | 2nd Place
• Awarded to a Partner Employee Submission
• $6,000 USD donation to their charity of choice, subject to Sponsor’s review and approval
Partner Employee Prizes | 3rd Place
• Awarded to a Partner Employee Submission
• $4,000 USD donation to their charity of choice, subject to Sponsor’s review and approval
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Alexey Portnov, PhD (USA)
Research Associate at University of Texas at Austin - Institute for Geophysics
Anna Veronika Dorogush (United Arab Emirates)
Machine Learning Infrastructure
Ashleigh Faith, PhD (USA)
Director, Knowledge Graph and Semantic Search at EBSCO
Chun-Kit Ngan, PhD (USA)
Professor of Data Science at Worcester Polytechnic Institute at Worcester Polytech Institute
Dan McCreary (USA)
Distinguished Engineer in AI at Optum
Dave DeCaprio (USA)
Chief Technology Officer and Co-Founder at ClosedLoop.ai
Ellie Young (USA)
Founder at Common Action
Haris Dindo, PhD (USA)
Chief Technology Officer at SHS Asset Management
James Pang Yan, PhD (Singapore)
Co-Director, Master of Science in Business Analytics at National University of Singapore
Jesper Vang, PhD (Denmark)
PHD at DTU - Technical University of Denmark
Juan Sequeda, PhD (USA)
Principal Scientist at data.world
Kirti Jain, PhD (Singapore)
VP & Head of Insights & Data Global Business Line at Capgemini
Maria Laura Garcia (Argentina)
President and Founder of GlobalNews® Group at World Innovation and Change Management Institute
Usha Rengaraju (India)
Principal Data Scientist at MUST Research
Yaya Sylla (Côte d’Ivoire)
Chief Executive Officer at SaH Analytics International at SaH Analytics International
Zarreen Reza (Canada)
AI Research Scientist at Volta Charging | Leadership Fellow at Women Who Code
Ahlem Mustapha (Germany)
Technical Sales Engineer at TigerGraph
Alex Infanzon
Sales Engineering Manager (U.S. West) at TigerGraph
Bino Kohli (USA)
Principal Product Manager at TigerGraph
Chung Ho (Singapore)
VP, Solution Engineering at TigerGraph
Harry Powell (United Kingdom)
Head of Industry Solutions at Tigergraph
Jay Yu, PhD (USA)
VP of Product and Innovation at TigerGraph
Jeff Tyzzer (USA)
Presales Engineer at TigerGraph
Jonathan Herke (USA)
Manager of Developer Relations at TigerGraph
Michael Shaler (USA)
VP Business Development at TigerGraph
Mingxi Wu, PhD (USA)
VP of Engineering at TigerGraph
Richard Henderson (United Kingdom)
Technical Director at TigerGraph
Songting Chen, PhD (USA)
Chief Architect at TigerGraph
Tish Looper (USA)
VP of Customer Success at TigerGraph
Victor Lee, PhD (USA)
VP of Machine Learning and AI at TigerGraph
Wyatt Joyner (USA)
Solutions Architect at TigerGraph
Xinyu Chang (USA)
Director of Customer Solutions at TigerGraph
View the complete bios of the judges
https://www.tigergraph.com/graph-for-all/judges
Judging Criteria
-
Impactfulness
The degree to which the graph solution betters people’s lives via positive impacts in one or more domains. This includes: Reach (number of people helped), Value (social/economic benefit), & Depth (addressing root issues) -
Innovativeness
The degree to which the graph solution offers either a novel approach to the problem or a novel use of graph. This includes: Novelty (new way to frame complicated problems with graph) & Creativity (resourcefulness in overcoming challenges) -
Ambitiousness
The degree to which the graph solution pushes the boundary of scale and scope of graph to solve real world problems. This includes: Schema scope (graph schema size), Scale (graph data size), & Functional scope (coverage of functional features) -
Applicability
The degree to which the graph solution is ready to be adopted and applied with reasonable resources and investment. This includes: Adoption (ease of putting the solution into real-world use) & Breadth (number and size of industries that could adopt this)
Questions? Email the hackathon manager
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