Centre for Digital Trust & Society: Seedcorn Showcase 2023-2024 A Digital Futures - Centre For Digital Trust and Society Event

On 11th December 2024, the Centre for Digital Trust and Society (CDTS) part of Digital Futures hosted the Seed Corn Showcase at the Alan Turing Building. The event celebrated five pioneering research projects focusing on digital trust, cybersecurity, and resilience, bringing together experts from various disciplines to share knowledge and insights. The showcase served as a platform to exchange knowledge, foster collaborations, and explore solutions to pressing challenges in our digital world.

Five groundbreaking research projects were presented, covering topics like emotion detection, blockchain forensics, and AI-driven verification systems.
Highlights from the Showcase
Professor Nicholas Lord chaired the event with an engaging introduction, highlighting the importance of interdisciplinary research in digital trust and introducing the Digital futures platform.

Emotion Detection and Misinformation Harms arising from Large Language Models

This project explored how Large Language Models (LLMs) can detect emotional manipulation in misinformation. The researchers proposed innovative tools to address misinformation harms, safeguarding online trust and societal resilience.

Check out the presentation by Zhiwei Liu:

Automated Summarisation of FRET Requirements

Dr Marie Farrell unveiled a prototype tool simplifying complex formulas used in NASA’s FRET requirements, making them more concise and readable for practical applications.

Check out the presentation by Dr Marie Farrell:

Misogyny and Online Gender-Based Violence

Dr Justina Berškytė presented the project which tackled the critical issue of misogyny and gender-based violence in online spaces. It presented strategies to identify harmful patterns and build safer digital environments.

Check out the presentation by Dr Justina Berškytė:

Blockchain Forensics Criminal Analysis using R Shiny

This research focused on using R Shiny tools to enhance blockchain forensic analysis, uncovering patterns and insights in criminal investigations involving blockchain technologies.

Check out the presentation by Dr Yuanyuan Zhang:

Formal Software Verification with Large Language Models in the Loop

By integrating LLMs into software verification tools, this project demonstrated improvements in bug detection and repair processes, paving the way for safer, more reliable systems.

Check out the presentation by the team:

Interactive Discussions: Attendees engaged in lively Q&A sessions, leading to insightful conversations on research impact and future challenges.

The event concluded with a drinks reception, enabling attendees to connect and collaborate across disciplines.

The University of Manchester's wider Digital Futures network is highly interdisciplinary and operates across the whole range of the University’s digital research - connect with us and keep in touch:

Credits:

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