Field Prize Prediction 2026 - Lisa Piccirllio (comes first), Urmila Mahadev (comes 2nd), Shai Evra, W Sawin, M Weber, Kaisa Matomaki, Adam Harper, Yifeng Liu, Dr. Tang's

As a project, 3 years back, I analyzed last 50 years of papers (10 TB data) of all the field medalists & the rest of the mathematicians (a lot of unstructured text data) to predict the field medal for the 2022 event. Again, this was a graph mining & NLP (natural language processing & text mining) exercise to motivate upcoming data scientists to try something new, figure out new problems to solve, and probably unleash the power of predictive analytics & narrow AI as well. 

This required a lot of 

1. Data cleaning 

2. Defining the breakthrough of every winner  

3. Developing co-author network data 

4. look-a-like profiling based on topics, citations, embeddings, and lot of other things  

5. Developing topic models through natural language processing, the topology of networks, superimposing topology of networks with topics & changing the definition of a breakthrough with respect to the papers of the winners 

6. Deep Divergence Learning & Ricci Flow for community detection for clustering right topics with unsupervised learning 

7. Reinforcement learning & ensemble modeling 

And A Secret recipe of this predictive analytics project which came through the concept of the topology of social networks & KBGAN: Adversarial Learning for Knowledge Graph Embeddings - https://arxiv.org/abs/1711.04071 

8. Ant Colony Optimization to understand amongst research coauthors has the shortest path with innovation breakthrough yield & to win the Field..

My prediction came true for Maryana Viazovska, Hugo Duminil & J Maynard while Bhargav Bhatt won New Horizon breakthrough prize. 

I am running the algorithms this time for 2026 and the initial analysis shows Lisa Piccirllio (comes first), Urmila Mahadev (comes 2nd), Melanie Weber, Shai Evra, W Sawin, Kaisa Matomaki, Adam Harper, Yifeng Liu, Dr. Tang's name  have probability over 95% to win 2026 Field prize.