Editorial Team

 TigerGraph, provider of a leading graph analytics platform, today unveiled the winners of the Graph for All Million Dollar Challenge — awarding $1 million in cash to game changing, graph-powered projects that analyze and address many of today’s biggest global social,  economic, health, and climate-related concerns. The winning projects, announced at this week’s  

Graph + AI Summit, were hand-selected by the global judging committee from more than 1,500  registrations from 100+ countries. Mental Health Hero claimed the $250k Grand Prize for creating  an application to help provide greater access and personalization to mental health treatment. 

“From addressing mental health issues to supporting Ukrainian refugees to predicting how supply  shocks will spread through the world economy, the submissions we received tackle real world  concerns and demonstrate innovative approaches to resolving them with graph technology,” said Dr. Yu Xu, Founder and CEO of TigerGraph. “We wanted to create a challenge that produced new  and innovative applications of graph technology and the global community did just that. The overwhelming focus on global issues in this challenge shows that regardless of geography, we all share many of the same concerns and challenges, and that graph technology can help address.”

Graph For All Million Dollar Challenge Winners 

After extensive review by the global judging committee, consisting of 32 experts from industry,  academia, and TigerGraph, the following are the 15 award winning projects

Graph For All Million Dollar Challenge Grand Prize Winner 

Grand prize, $250,000: Mental Health Hero Mental Health Hero is a graph-based approach to solving one of the largest public health epidemics today: the prevalence of untreated mental health issues such as anxiety and depression. According to the CDC, 400 million people globally are not  receiving essential treatment for their mental health disorders [1]. Additionally, only 40% of adults  

with mental illness are estimated to receive treatment for it [2]. 

Graph For All Million Dollar Challenge Top Awards 

Most Impactful 1st place, $100,000: UAWelcome – The global refugee crisis reached a new level of  awareness with the war in Ukraine. In response, UAWelcome created a platform that uses graph  technology to connect individual refugees and their needs with a 

fast-growing community of volunteers and the limited and scattered resources. Their

application is already in use connecting volunteers and scattered resources with Ukrainian refugees  and helping refugees seek asylum in the U.S. 

Most Innovative 1st place, $100,000: Universe Planner A multiverse-metaverse planning app that  allows users to solve complex problems by tapping into and leveraging social knowledge. It also  socially connects users to others working on the same or similar mission, plan, or task. 

Most Ambitious 1st place, $100,000: ShockNet – Allows users to adjust assumptions, investigate  the predicted chains of shocks through the world economy, and identify ways to avoid economic crises by gaining visibility into how and why shocks spread. ShockNet includes an app that allows  policymakers to visualize and adjust the model to better understand how to offset or avoid a future  crisis. 

Most Applicable 1st place, $100,000: BioDex – BioDex combines our natural curiosity with the  motivation of gaming. By gamifying the experience of connecting to nature, players can snap images  of nature, identify its species, and display its properties in real-time while striving to identify as many  species as possible and contributing biodiversity information to research. 

Women Who Graph, $30,000: Diagnosx – After seeing first hand in the ER the dual struggles of  patients not understanding their health conditions and doctors trying to draw pictures to help  explain conditions, Bree Day knew there had to be a better way. Her idea to get 3D models to  illustrate breadth and depth of a patient’s diagnosis into all patients’ hands is realized in Diagnosx.  The application presents a 3D model of a patient’s diagnosis and medical history to better illustrate  the findings and diagnosis and decrease disparities in doctor/patient communication. 

Most Popular, $20,000: Multimodality Cancer Graph – Many diseases are related to each other, and  complications from a certain disease could cause another. Through the power of graphs and  machine learning, this project aims to uncover new disease links and help researchers better  prepare for future pandemics or emerging diseases. 

Additional Winners 

Most Impactful 

  • 2nd place, $50,000: Fact-Checker: Fighting Misinformation at Scale A multi-platform,  multi-lingual, real-time fact-checking system powered by machine learning and graph  technology. 
  • 3rd place, $25,000: Project Athena An automatic, generic knowledge graph framework  that builds itself from textual unstructured data and uses natural language to query and  apply data.

Most Innovative 

  • 2nd place, $50,000: RepoLinks A graph that shows the dense, complex interconnections between software developers, programming languages, and software projects, to better  understand factors such as skill sets, productivity, and technology evolution within  organizations. 
  • 3rd place, $25,000: Gemini – An eclectic news search engine that cuts through the noise and  allows readers to dig deep into a specific topic or explore multiple facets of the news they  are most interested in. 

Most Ambitious 

  • 2nd place, $50,000: Finding Drug Interactions in Silico with Graph – Identifies Drug  interactions and potential side effects using graph machine learning during the  pharmaceutical development process. 
  • 3rd place, $25,000: Candoor – A social networking site for people seeking to connect with others for candid conversations on anything from professional industry advice to tips for  pursuing a hobby. 

Most Applicable 

  • 2nd place, $50,000: TigerGraph for United Nations (UN) Data Makes UN data, the most robust dataset in the world, easily accessible to anyone by harnessing the power of graph  technology. 
  • 3rd place, $25,000: BiasCheck – A cool new Google Chrome extension that fosters critical  thinking by identifying bias/accuracy of all news sources. The technology also allows users to explore specific topics with differing viewpoints that challenge the status quo. 

The Graph for All Million Dollar Challenge judging committee was comprised of the world’s  brightest and most recognizable data scientists, professors, PhDs, distinguished engineers, and  founders of global companies focusing on artificial intelligence (AI), analytics, knowledge graph, and  other industry experts with deep knowledge of graph technology, graph use cases, and graph  deployments. The judging committee included eight PhDs, three academics from top universities,  an NSF Graduate Research Fellow, a marine geoscientist, and a 2x Kaggle Grand Master. TigerGraph  engineers and product experts also joined the panel as employee judges. 

“Wow! The creative use of graph and data in these solutions really shows how a graph approach with the right data can address so many global issues,” said Juan Sequeda, Principal Scientist,  data.world and Graph for All Million Dollar Challenge judge. “What is truly exciting is that most of  these projects can be expanded and applied in many different situations and use cases in the  future. The projects serve as templates that can be adjusted, augmented, and adapted for other  situations, helping make life better for even more people. Like the project created to help  Ukrainian refugees, while it is excellent for refugee situations, that same application could be used  to help people impacted by natural disasters throughout the world.”

Content Disclaimer

Related Articles