I'm Kalyan Dutia. I like finding ways to apply data science for social good. I'm the Lead Data Scientist at Climate Policy Radar where we're working to improve climate policymaking using NLP. Previously, I designed a system to build a knowledge graph from the museum collections of the Science Museum Group and V&A.

Find me on linkedin, github, bandcamp, and sometimes twitter.

Some highlights:

Key → 🏢 building | ✍️ writing | 🗣️ speaking | 📄 academic paper | 🤝 convening

2022–now: Climate Policy Radar

🤝 NLP for Climate workshop, ACL 2024 – co-organiser 2024
🗣️ Building an Evidence Base for the Global Stocktake as a Knowledge Graph – at the Turing Institute 2023
🏢 UNFCCC Global Stocktake Explorer (GST1.org) 2023
🏢 app.climatepolicyradar.org 2022-
✍️ Thoughts on a hackathon with OpenAI 2022
✍️ Meet Kalyan :) 2022
✍️ Building a search engine for climate laws and policies 2022

2020–2021: Heritage Connector (museums)

🏢 Experimental interfaces for knowledge graphs in museums 2021
🏢 Heritage Connector: a machine learning framework for creating knowledge graphs for museum collections 2021
🏢 elastic-wikidata python library 2021
🗣️ Transforming museum text into data to extract meaning & make connections (Towards a National Collection, AHRC, UKRI) 2021
✍️ Visualising a museum knowledge graph with knowledge graph embeddings and UMAP 2021
📄 Heritage connector: A machine learning framework for building linked open data from museum collections 2021
🗣️ Combining NER and knowledge graphs – AI4LAM 2021
✍️ Knowledge graphs, machine learning and heritage collections 2020