The Centre for Digital Trust and Society (The Centre) is excited to present the CDTS Seed Corn Showcase. This event celebrates the groundbreaking achievements of the five research projects funded in our 2023-2024 Seed Corn Funding.
Our scope includes cybersecurity, but we also see digital security as part of a set of broader issues of trust and trustworthiness, distrust and trust exploitation, and trust-building and resilience.
Many interpretations of and approaches to ‘trust’ exist across technical and social science disciplines. ‘Trustworthiness’ can mean strikingly different things to computer scientists, data scientists, engineers, psychologists, and philosophers.
Likewise, each discipline has its own approaches to investigating trust. Despite its challenges, we see this diversity of views and methods as an opportunity for creative engagement across disciplines.
What is the CDTS Seed Corn Funding?
Each year, CDTS awards funding to cutting-edge research proposals that explore critical questions at the intersection of digital trust and society. The Seed Corn program helps nurture promising ideas, fostering the next generation of digital trust research through small research projects, scoping reviews and pilot studies, workshops, symposia, and research seminars/ presentations, or staff exchanges and other collaborative relationship development. Join us at this event to see how you can get involved and read about the successes and learnings from the previous funded projects.
What to expect at the Showcase:
Dive into the learnings and successes of the five funded projects.
Discover the exciting advancements made by these innovative researchers.
Learn how you can get involved in shaping the future of digital trust research.
Connect and network
Join us for an afternoon of inspiration and exploration as we celebrate the future of digital trust!
Projects:
Misogyny and online gender-based violence | Mihaela Popa-Wyatt, Justina Berškyt?, Graham Stevens, Adelina-Dalia Valoschi, Maurits Bekkers, Thomas Chadwick, Iqra Zahid, Lily Calloway
Automated summarisation of FRET requirements | Marie Farrell, Uli Sattler, Christian Kindermann, Bozhidar Klouchek
Emotion Detection and Misinformation Harms arising from Large Language Models| Sophia Ananiadou, Peter Knight, Stephen Hutchings, Zhiwei Liu, Paul Thompson, Boyang Liu, Kailai Yang
Formal Software Verification with Large Language Models in the Loop | Mustafa Mustafa, Meropi Tzanetakis, Lucas Cordeiro, Youcheng Sun, Laura McCulloch, Yiannis Charalambous, Edoardo Manino
Blockchain Forensics Criminal Analysis using R Shiny | Yuanyuan Zhang, Nicholas Lord, Youcheng Sun, Saralees Nadarajah, Stephen Chan, Jeffrey Chu, Beryl Chavez Li
