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UCREL Summer School 2026

Lancaster University · 20 to 22 July 2026

Dates Location Theme


Overview

This repository contains the programme and links to tutorials and other materials for the UCREL Summer School 2026, hosted at Lancaster University from 20 to 22 July 2026.

The 2026 theme is: NLP, LLMs and Responsible and Explainable AI in Practice

The summer school is expected to bring together up to 50 participants from a broad range of AI-related fields, including natural language processing, machine learning, computer science, linguistics, digital humanities, and applied AI.

For the current public UCREL summer school page, see the UCREL NLP Summer School site.


Programme at a glance


Day 1 · Monday 20 July 2026

NLP Foundations and Core Language Technologies

Time Session Presenter
09:00 to 09:30 Registration
Arrivals, Badges, Wi-Fi, and Setup
09:30 to 10:00 Welcome Remarks & UCREL Overview
Slides
Dr Ignatius Ezeani
Prof Paul Rayson
10:00 to 11:00 Keynote
Frustratingly Simple and Efficient Multilingual Language Model Adaptation
More...
Prof Nikos Aletras
Professor of NLP
Sheffield University
11:00 to 11:15 Coffee and Tea Break
11:15 to 13:00 Session 1: Tutorial
NLP Pipeline for Text Classification and Sequence Labelling
More...
Dr Daisy Lal
13:00 to 14:00 Lunch Break and Networking
14:00 to 15:30 Session 2: Tutorial
Introduction to the USAS Semantic Tagging Framework with PyMUSAS
More...
Prof Paul Rayson
Dr Andrew Moore
15:30 to 16:00 Coffee and Tea Break
16:00 to 17:00 Session 3: Hackathon Kick-off
Challenge briefing, team formation, idea scoping
More...
Dr Tharindu Ranasinghe
Dr Andrew Moore
Dr Damith Dola Mullage
Dr John Vidler

Day 2 · Tuesday 21 July 2026

Large Language Models in Practice

Time Session Presenter
09:00 to 09:30 Networking
Recap Day 1, outline Day 2
09:30 to 10:30 Keynote
How to train your model: Paradigms for training LLMs and how to know which one to use.
More...
Dr Riza Batista-Navarro
Senior Lecturer in Text Mining, Natural Language Processing and Text Mining
10:30 to 11:00 Coffee and Tea Break
11:00 to 13:00 Session 4: Tutorial
LLM Prompting Techniques: RTCF, Few-shot, CoT, RAG and Constraints
More...
Chenji Jin, Pourya Farzi
Dr Scott Piao
13:00 to 14:00 Lunch Break and Networking
14:00 to 15:30 Session 5: Tutorial
Building a Basic RAG System: indexing a corpus, retrieval, prompting, and evaluating responses
Dr Hansi Hettiarachchi
15:30 to 16:00 Coffee and Tea Break
16:00 to 17:00 Session 6: Hackathon Sprint
Code and spec review, short clinic, discussions and support
Dr Tharindu Ranasinghe
Dr Andrew Moore
Dr Damith Dola Mullage
Dr John Vidler

Day 3 · Wednesday 22 July 2026

Responsible, Explainable and Inclusive AI

Time Session Presenter
09:00 to 09:30 Networking
Recap, hackathon reminders
09:30 to 10:30 Keynote
Artificial Intelligence for Everyday Lives
More...
Dr Jacki O'Neill
Founding Director, Microsoft Research
Nairobi, Kenya
10:30 to 11:00 Coffee and Tea Break
11:00 to 13:00 Session 7: Tutorial
Machine Translation Quality Estimation in Low-Resource Scenarios
Dr Tharindu Ranasinghe
Dr Damith Dola Mullage
13:00 to 14:00 Lunch Break and Networking
14:00 to 15:00 Session 8: Workshop
Title: Mapping environmental impacts and potential rebound effects of AI
In this session, we will work in groups to map out the socio-environmental impacts of the digital infrastructure that enables the use of AI and we will use the ‘Rebound Archetypes Cards’ to facilitate the discussion around the potential rebound effects of using AI in products and services.
Dr Marcia Smith
15:00 to 15:30 Hackathon Results
Team pitches, winners and prize presentation
Dr Tharindu Ranasinghe
Dr Andrew Moore
Dr Damith Dola Mullage
Dr John Vidler
15:30 to 16:00 Closing
Reflections, announcements, certificates and group photo
Prof Paul Rayson
Dr Ignatius Ezeani

Key themes

  • Foundational NLP workflows for classification, sequence labelling, and semantic analysis
  • Large language models in practice, including prompting, RAG, and system-building
  • Responsible, explainable, and inclusive AI for language technologies
  • Hands-on collaboration through tutorials, networking, and a multi-day hackathon

Intended audience

The programme is designed for:

  • PhD students and early-career researchers
  • Research assistants and postdoctoral researchers
  • Software developers and data scientists
  • Researchers and practitioners working across NLP, AI, linguistics, and digital humanities

Notes

  • This is the final programme but it may be updated as speakers and session details are confirmed or changed.
  • Session titles and timings are subject to minor refinement.

Maintainers

Dr Ignatius Ezeani and the UCREL Summer School 2026 Organising Team, Lancaster University, UK


Final Programme · Subject to minor updates

About

Programme and materials for the UCREL Summer School 2026 (20-22 July, Lancaster University). Theme: NLP, LLMs and Responsible and Explainable AI in Practice. Includes keynotes, tutorials, networking, and a multi-day hackathon.

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