<div dir="ltr"><p class="MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span style="font-size:10.5pt;font-family:Roboto">Dear Researcher,</span></p><p class="MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span style="font-size:10.5pt;font-family:Roboto"> </span></p><p class="MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span style="font-size:10.5pt;font-family:Roboto">Ten days left to the paper submission deadline!</span></p><p class="MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span style="font-size:10.5pt;font-family:Roboto"><br></span></p><p class="MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span style="font-size:10.5pt;font-family:Roboto">We invite you to submit at the MUFin21 workshop! The workshop provides a platform for experts across industry and academia to discuss and present challenges, novel solutions, and pave the way for future directions in modelling sequential data uncertainty for the financial world. <b>We invite papers focused on modelling uncertainty for financial applications.</b> Topics of interest include, but are not limited to the following:<br><br><u>Application Topics:</u></span></p><ul type="disc" style="margin-bottom:0cm;color:rgb(0,0,0);font-family:-webkit-standard;margin-top:0cm"><li style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:10.5pt;font-family:Roboto">Evaluating financial risk</span></li><li style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:10.5pt;font-family:Roboto">Forecasting stock market</span></li><li style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:10.5pt;font-family:Roboto">Modelling seasonality in market trends</span></li><li style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:10.5pt;font-family:Roboto">Fraud prediction</span></li><li style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:10.5pt;font-family:Roboto">Modelling temporal social media activity</span></li><li style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:10.5pt;font-family:Roboto">Recommendation systems</span></li><li style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:10.5pt;font-family:Roboto">Adversarial Attacks on financial models</span></li></ul><p class="MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0)"> </p><p class="MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><u><span style="font-size:10.5pt;font-family:Roboto">Technical Topics:</span></u></p><ul type="disc" style="margin-bottom:0cm;color:rgb(0,0,0);font-family:-webkit-standard;margin-top:0cm"><li style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:10.5pt;font-family:Roboto">Temporal/Sequential data modelling – clustering, classification</span></li><li style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:10.5pt;font-family:Roboto">Modelling uncertainty in financial data</span></li><li style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:10.5pt;font-family:Roboto">Temporal graphs</span></li><li style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:10.5pt;font-family:Roboto">Time Series Forecasting</span></li><li style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:10.5pt;font-family:Roboto">Text analytics of financial reports, forecasts, and documents</span></li><li style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:10.5pt;font-family:Roboto">Explainable/interpretable sequential modelling</span></li><li style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:10.5pt;font-family:Roboto">Exploring fairness and robustness towards bias in financial models</span></li><li style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:10.5pt;font-family:Roboto">Representation learning from temporal/sequential data</span></li><li style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:10.5pt;font-family:Roboto">Modelling financial data as temporal point processes</span></li></ul><p class="MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span style="font-size:10.5pt;font-family:Roboto"> </span></p><p class="MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><b><span style="font-size:10.5pt;font-family:Roboto">Submission Deadline: 15th July 2021</span></b></p><p class="MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span style="font-size:10.5pt;font-family:Roboto">Website: </span><span style="color:rgb(26,115,232);font-size:10.5pt;font-family:Roboto"><a href="https://sites.google.com/view/mufin21/home" target="_blank" style="color:rgb(5,99,193)">https://sites.google.com/view/mufin21/home</a></span></p><p class="MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0)">The best paper of the workshop will be awarded a <b>Best Paper Award</b> worth $500!</p><p class="MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span style="font-size:10.5pt;font-family:Roboto"> </span></p><p class="MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span style="font-size:10.5pt;font-family:Roboto">Please refer to the website for more details. Incase of any queries, please reach out to Maneet Singh at <a href="mailto:maneet.singh@mastercard.com" title="mailto:maneet.singh@mastercard.com" target="_blank" style="color:rgb(5,99,193)"><span style="color:rgb(17,85,204)">maneet.singh@mastercard.com</span></a>.</span></p><p class="MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0)"> </p><p class="MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0)">Best,</p><p class="MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0)">Maneet</p></div>