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 |