Time | Details | |||
---|---|---|---|---|
Tuesday 29 August 2023 | ||||
15:30–19:00 | Early delegate registration | |||
17:30–19:00 | Pre-conference workshops | |||
Wednesday 30 August 2023 | ||||
09:30–10:30 | Registration/refreshments | |||
10:30–10:45 | Opening ceremony | |||
10:45–11:40 | Plenary session 1 | |||
11:50–12:25 | Parallel session 1 | |||
12:30–13:05 | Parallel session 2 | |||
13:05–14:15 | Lunch | |||
14:15–14:50 | Parallel session 3 | |||
14:55–15:30 | Parallel session 4 | |||
15:30–15:50 | Refreshments | |||
15:50–16:25 | Parallel session 5 | |||
16:30–17:05 | Parallel session 6 | |||
18:30–20:00 | Welcome reception | |||
Thursday 31 August 2023 | ||||
06:45–07:30 | Optional - 5K guided early morning run | |||
08:45–09:30 | Plenary session 2 | |||
09:40–10:15 | Parallel session 7 | |||
10:20–10:55 | Parallel session 8 | |||
10:55–11:15 | Refreshments | |||
11:15–11:50 | Parallel session 9 | |||
11:55–12:30 | Parallel session 10 | |||
12:35–13:10 | Parallel session 11 | |||
13:10–14:15 | Lunch | |||
14:15–15:00 | Parallel session or panel session | |||
15:10–15:45 | Parallel session 12 | |||
15:45–16:05 | Refreshments | |||
16:05–16:40 | Parallel session 13 | |||
16:45–17:20 | Parallel session 14 | |||
19:00–23:00 | Gala dinner | |||
Friday 1 September 2023 | ||||
09:15–10:00 | Parallel session or panel session | |||
10:05–10:40 | Parallel session 15 | |||
10:45–11:20 | Parallel session 16 | |||
11:20–11:40 | Refreshments | |||
11:40–12:15 | Parallel session 17 | |||
12:20–12:55 | Parallel session 18 | |||
12:55–14:00 | Lunch | |||
14:00–14:35 | Parallel session 19 | |||
14:40–15:15 | Parallel session 20 | |||
15:20–15:55 | Parallel session 21 | |||
16:00–16:15 | Closing session |
Please note the conference programme is subject to change and will be finalised in July 2023.
Event app
The conference will include an event app.
This will be available as a free download for all registered delegates. It has primarily been designed to help you make personal connections with other attendees (subject to your permissions).
The software also offers live event notifications, personalised schedules across the whole of the conference and options to search all abstracts.
Keynote speakers
Dr Joseph L. Breeden
CEO, Deep Future Analytics LLC
Dr Breeden has been designing and deploying risk management systems for loan portfolios since 1996. He founded Deep Future Analytics in 2011, which focuses on portfolio and loan-level forecasting solutions for pricing, account management, stress testing, and CECL/IFRS9; serving banks, credit unions, and finance companies.
He is member of the board of directors of Upgrade, a San Francisco-based FinTech; President of the Model Risk Managers’ International Association, and an Associate Editor for the Journal of Credit Risk, the Journal of Risk Model Validation, and the Journal of Risk and Financial Management. He is also the founder of auctionforecast.com, which predicts the values of fine wines using a proprietary database with over 2.5 million auction prices.
Dr Breeden earned a PhD in physics, and has published over 80 academic articles, 8 patents, and 4 books. His upcoming book, Creating Artificial General Intelligence and Preventing the AI Apocalypse, will be published in 2023.

Michaela Pagel
Roderick H. Cushman Associate Professor, Columbia Business School, Finance Division
Michaela received her PhD from the Economics Department at UC Berkeley and works on topics in household finance, behavioural economics, and macroeconomics. She started her career by theoretically analysing the consumption and investment implications of non-standard preferences. More specifically, she studied how decision-making is affected by people's beliefs about their consumption.
She then specialised in working with transaction-level data on household income, spending, balances, credit limits, and logins stemming from financial aggregation apps. Furthermore, she is working with bank account data on income and spending linked to individual investors' security trades and portfolios. She uses this data to study the relationship between spending and income, as well as the determinants of credit card borrowing. She is also interested in stock market participation and the interactions between spending, savings, and individual biases in investment decisions.
