Speakers-Program

Topics of interest include, but are not limited to:

• Artificial Intelligence: Machine Learning and Neural Networks
• Data Analytics: Forecasting and Classification
• Industry 4.0 and Internet of Things
• Predictive Maintenance and Diagnosis
• Process Analysis and Simulation
• Algorithmic Regulation
• Forecasting Market Power in Digital Platforms
• Forecasting with AI

List of Speakers:

Robert Fildes, Lancaster University, Lancaster, UK
r.fildes@lancaster.ac.uk

Rohan Kariyawasam, Anglia Law School, Anglia Ruskin University, Cambridge UK
rohan.kariyawasam@anglia.ac.uk

Melvyn Weeks, Faculty of Economics and Clare College, University of Cambridge, UK.
mw217@cam.ac.uk

Arze Karam, Durham University, Durham, UK
arze.karam@durham.ac.uk

Claudio Piga, Keele Business School, Keele University, UK
c.piga@keele.ac.uk

Eoghan O’Neill, PhD Student, Faculty of Economics, University of Cambridge, UK.
epo21@cam.ac.uk

Ralph Grothman, Siemens, Munich Germany
ralph.grothmann@siemens.com

Aurelio F. Bariviera, Universitat Rovira i Virgili, Reus, Spain
aurelio.fernandez@urv.cat

Emanuele Giovannetti, Anglia Ruskin University and Hughes Hall, Cambridge, UK
emanuele.giovannetti@anglia.ac.uk

Jinhua Wang, PhD Student, Judge Business School, University of Cambridge, UK.
jw983@jbs.cam.ac.uk

Larry Vanston, Technology Futures Inc, Austin, Texas, U.S.A
lvanston@tfi.com

Vangelis Spiliotis, School of Electrical and Computer Engineering, National Technical
University of Athens
spiliotis@fsu.gr

William Davies, PhD Student, Anglia Ruskin University
william.davies@pgr.anglia.ac.uk

Program Schedule

Thursday, 23 May 2019
9:00 – 9:30 Registration and Coffee
9:30 – 9:40 Opening & Introduction
Morning session Chair: Claudio Piga

9:40 – 10:20 Robert Fildes Lancaster University, Lancaster, UK Customer flow forecasting with GBRT: the benefits of adopting a customized machine learning approach.

10:20 – 11:00 Rohan Kariyawasam Anglia Law School, Anglia Ruskin
University, Cambridge, UK
A needle in a Haystack? The elusive test of dominance in the Digital Economy

11:00 – 11:30 Coffee Break

11:30 – 12:10 Melvyn Weeks, Faculty of Economics and Clare College,
University of Cambridge, UK
Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing Schemes

12:10 – 12:50 Arze Karam Durham University, Durham, UK Detection of Algorithmic Trading

12:50 – 14:00 Lunch
Afternoon session Chair: Melvin Weeks

14:00 – 14:40 Claudio Piga Keele Business School, Keele University, UK
Linking Algorithms to Static and Dynamic pricing: theory and evidence

14:40 – 15:20 Eoghan O’Neill Faculty of Economics, University of
Cambridge, UK
Bayesian Causal Forests using Bayesian Model Averaging

15:20 – 15:40 Coffee Break

15:40 – 16:20 Ralph Grothman Siemens, Munich, Germany Forecasting Customer Demand with Deep Neural Networks

16:20 – 17:00 Aurelio F. Bariviera Universitat Rovira i Virgili, Reus, Spain Multi-period decision making applied to cryptocurrency investment scenario

17:00 – 17:15 Summary and Conclusions

Friday, 24 May 2019
8:30 – 9:00 Registration and Coffee
Morning session Chair: Robert Fildes

9:00 – 9:40 Emanuele Giovannetti Anglia Ruskin University and Hughes Hall,
Cambridge , UK
Arguing for the need of Algorithmic Just in Time Regulation of Platforms. The case for using Neural Networks in Predicting upstream market power in upstream Internet connectivity in Tamil Nadu

9:40 – 10:10 Jinhua Wang Judge Business School, University of
Cambridge, UK. Random Forest and Causal Effect Estimation

10:10 –10:30 Coffee Break

10:30 – 11:10 Larry Vanston Technology Futures Inc, Austin, Texas,U.S.A
Forecasting AI in Forecasting

11:10 – 11:50 Vangelis Spiliotis,
School of Electrical and Computer Engineering, National Technical, University of Athens, Greece
Machine Learning for time series forecasting: Lessons learned from the M4 Competition and ways forward

11:50 – 12:20 William Davies Anglia Ruskin University, UK Predicting the Impact of Social Capital for Microfinance through Crowdfunding: A Neural Network approach.

12:20 – 12:50 Round Table: Chaired by Professor Robert Fildes

12:50 – 14:00 Lunch

Selected papers will be suggested for publication in the International Journal of Forecasting (IJF)