Date: 15 November 2024
Time: 10:15am - 4:30pm
Place: Sherrington Building (North Campus), Lecture Theatre 1, Ashton Street, L69 3GE
The event
Hosted by the Liverpool Advanced Methods for Big Data Analytics (LAMBDA) Research Centre, this workshop will bring together experts from a range of fields, showcasing innovative applications of machine learning and AI in economics, finance, computer science, and geography.
The workshop features insightful talks from University of Liverpool colleagues on topics such as:
- Networks for modelling daily written media-based data
- Adaptive machine learning for financial volatility
- Machine learning for predicting human mobility
- Large language models for decision-making
- Machine learning-based forecasting approaches for portfolio management.
Whether you're a researcher, student, or professional, this workshop offers a unique opportunity to engage with the University of Liverpool’s experts, discover interdisciplinary insights, and connect with a vibrant community of AI and machine learning enthusiasts at the University of Liverpool.
Agenda
Keynote speakers
- Mrs Claire Lebrun, PhD student in Economics and LAMBDA member, University of Liverpool Management School
- Professor Danushka Bollegala, Professor of Computer Science, University of Liverpool, School of Electrical Engineering, Electronics and Computer Science
- Professor Francisco Rowe, Professor in Population Data Science, University of Liverpool, School of Environmental Sciences
- Professor Charlie X Cai, Professor of Finance, University of Liverpool Management School
- Dr Meng Fang, Lecturer in Computer Science, University of Liverpool, School of Electrical Engineering, Electronics and Computer Science
- Dr Michael Ellington, Senior Lecturer in Finance, University of Liverpool Management School
- Professor Abderrahim Taamouti, LAMBDA Research Centre Lead, University of Liverpool Management School
- Dr Yousef Kaddoura, Lecturer in Economics, University of Liverpool Management School
Timetable
10:15 - 10:30 |
Registration Welcome - Professor Abderrahim Taamouti, LAMBDA Research Centre Lead, University of Liverpool Management School |
10:30 - 11:00 |
Keynote 1: The Opportunities and Challenges of Using Large Language Models for Decision Making
|
11:00 - 11:30 |
Keynote 2: Agent-based NLP for Decision-Making
|
11:30 - 11:45 |
Break and refreshments |
11:45 - 12:15 |
Keynote 3: Predicting VIX with Adaptive Machine Learning
|
12:15 - 12:45 |
Keynote 4: Testing for Differences in High-Frequency Network Connectedness from Variance Decompositions
|
12:45 - 13:45 |
Lunch |
13:45 - 14:15 |
Keynote 5: Portfolio Selection Under Non-Gaussianity and Systemic Risk: A Machine Learning-Based Forecasting Approach
|
14:15 - 14:45 |
Keynote 6: Using Machine Learning to Identify the Main Predictors of Biases in Human Mobility Data Derived from Smartphones
|
14:45 – 15:00 |
Break and refreshments |
15:00 - 15:30 |
Keynote 7: Evolving networks for modelling daily written media-based data
|
15:30 – 16:00 |
Keynote 8: CCE under non-random heterogeneity
|
Back to: Management School