BESC 2020: THE 7TH INTERNATIONAL CONFERENCE ON BEHAVIOURAL AND SOCIAL COMPUTING
PROGRAM

Days: Thursday, November 5th Friday, November 6th Saturday, November 7th

Thursday, November 5th

View this program: with abstractssession overviewtalk overview

09:30-10:30 Session 2: Keynote talk - Prof Raghavendra Rau: Examining Real-world Consequences of Law and Trust

 

I examine how legal regulations and social measures of trust have measurable real world impact on finance. I use these ideas to make a case for technology replacing traditional legal or social factors.

Short bio:

Professor Rau is the Sir Evelyn de Rothschild Professor of Finance at Cambridge Judge Business School. He is also a past president of the European Finance Association, and a past editor of Financial Management. He is a founder and director of the Cambridge Centre for Alternative Finance (CCAF) and a member of the Cambridge Corporate Governance Network (CCGN). He serves on the editorial boards of several journals including the Journal of Corporate Finance, Journal of Banking and Finance, Financial Review, and the Quarterly Journal of Finance. His research has frequently been covered by the popular press including the New York Times, the Financial Times, the Wall Street Journal, and the Economist, among others. His research interests lie in the areas of corporate finance, corporate governance and market efficiency. His research, published in journals such as the Journal of Finance, the Journal of Financial Economics, and the Review of Financial Studies, among others, covers topics such as the optimal form of CEO compensation, whether bribery has a positive NPV for firms, why analyst coverage helps firms, and have won several awards including the EFA Barclays Global Investor Award, the Chinese Finance Association Best Paper in Corporate Finance and the Financial Management Association "Best of the Best" Award. He won the Ig Nobel Prize in Management in 2015, a prize awarded for research that makes people laugh, and then think.

 

10:30-10:45Break
10:45-11:45 Session 3: Short paper session
10:45
A New Deep Convolutional Neural Network Model for Automated Breast Cancer Detection (abstract)
11:00
MHIVis: Visual Analytics for Exploring Mental Illness of Policyholder's in Life Insurance Industry (abstract)
11:15
Time Series Forecasting using Convolution and LSTM Models (abstract)
11:30
Effects of Temporal Factors on Human Mobility Lifestyle Through GPS Information (abstract)
11:45-12:00Break
12:00-12:45 Session 4: Short paper session
12:00
The Influence of National Identity on Prosocial Behavior: The Mediating and Moderating Role of Subjective Perceptions of COVID-19 Pandemic (abstract)
12:15
WhatFits-Deep Learning for Clothing Collocation (abstract)
12:30
Sentiment, Count and Cases: Analysis of Twitter discussions during COVID-19 Pandemic (abstract)
12:45-13:30Break
13:30-15:10 Session 5: Full paper session
13:30
Designing Meta-choices in a Purpose Made Game to Explore Anti-social choices (abstract)
13:50
Sentiment Analysis of Russian IRA Troll Messages on Twitter during US Presidential Elections of 2016 (abstract)
14:10
Contact Tracing Apps for COVID-19: Access Permission and User Adoption (abstract)
14:30
Your Identity is Yours: Take Back Control of Your Identity using GDPR Compatible Self-Sovereign Identity (abstract)
14:50
Towards a Taxonomy for Evaluating Societal Concerns of Contact Tracing Apps (abstract)
15:10-15:30Break
15:30-16:30 Session 6: Full paper session
15:30
Are They Likely to Complain on Phish or Spam? A Prediction Model (abstract)
15:50
Accuracy and Fairness in a Conditional Generative Adversarial Model of Crime Prediction (abstract)
16:10
An evolutionary algorithm for reducing fear of crime (abstract)
16:30-16:50Break
16:50-17:50 Session 7: Short paper session
16:50
Eliciting Requirements for a Student-focussed Capture The Flag (abstract)
17:05
Characterization of temporal patterns in the occurrence of aggressive behaviors in Bogotá, Colombia (abstract)
17:20
A Manifold Learning Data Enrichment Methodology for Homicide Prediction (abstract)
17:35
Contextualised Cyber Security Awareness Approach for Online Romance Fraud (abstract)
Friday, November 6th

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09:30-10:30 Session 9: Keynote talk - Prof. Yan Jia: Triaxiality Theoretical Model of Online Social Network and its Implementation

I will discuss the triaxiality theoretical model of Online Social Network from three dimensions of users (subject), communities (carrier) and the information (object), presenting an association model that integrates technologies of these three aspects, including users analysis, community discovery and information spreading analysis. Based on this theoretical model, a self-developed public opinion analysis system, named YHPOS, will be introduced to demonstrate the actual applied performances and effects of aforementioned technologies. I will also share some opinions on trends and challenges of online social network analysis technology.

Short bio:

Yan Jia is a professor at the Department of Computer Science and Technology, Harbin Institute of Technology, Shenzhen. She serves as an executive director at Chinese Information Processing Society of China and the chair of Specialty Committee of Big Search in Cyberspace. Her research interests cover Big Data Analysis, Artificial Intelligence, Online Social Network Analysis and Security Situation Awareness and Analysis in Cyberspace. As the principal investigator, she has undertaken more than 20 national projects, including the National Key Project of 863 Program and National Natural Science Foundation of China. She received four National Grade II Prize of Science and Technology Progress with ranking 1, 1, 2, and 3. She has published over 250 research papers with EI and SCI index in international journals and conferences proceedings, and authored/edited 5 books, as well as owning 80 patents for invention and Software Copyrights. She has hosted and co-organized more than 40 international and national conferences/summits and has being invited as keynote speakers for many academic and industrial conferences. She is the founder of the international Forum of Future Data (FFD) and IEEE International Conference of Data Science in Cyberspace (IEEE ICDSC).

10:30-11:50 Session 10: Full paper session
10:30
IT Investment Governance and Corporate Governance-Perspective and Approach (abstract)
10:50
Knowledge Interaction Enhanced Knowledge Tracing for Learner Performance Prediction (abstract)
11:10
Human Capital Structure and High-Quality Development: An Empirical Study (abstract)
11:50-12:20Break
12:20-13:20 Session 11: Short paper session
12:20
A Lightweight Network for Fast Semantic Segmentation (abstract)
12:35
Chinese Zero Pronoun Resolution Based on Biaffine Attention Mechanism (abstract)
12:50
Analyses of Character Networks in Dramatic Works by Using Graphs (abstract)
13:05
How Many Orders does a Spoofer Need? - Investigation by Agent-Based Model - (abstract)
13:20-14:20 Session 12A: Special paper session: Artificial society - Agent-based modeling in social science
13:20
Dual Attitude Model of Opinion Diffusion: Experiments with Epistemically Motivated Agents (abstract)
13:40
Cooperative Norms and the Growth of Threat: Differences Across Tight and Loose Cultures (abstract)
13:20-14:20 Session 12B: Special paper session: Covid-19 and Computational Social Psychology
13:20
Pathogen Prevalence, Collectivism and Online Sadness Expression in China [for Special Track “Covid-19 and Computational Social Psychology”] (abstract)
13:40
Covid-19 increased collectivistic expression on Sina Weibo for Special Track “Covid-19 and Computational Social Psychology” (abstract)
14:20-14:40Break
14:40-15:55 Session 13: Short paper session
14:40
Depression and Anxiety Prediction Using Deep Language Models and Transfer Learning (abstract)
14:55
Turing Test: ”If you pinch him, he will squeak”. Anew perspective on how machines can pass the test (abstract)
15:10
Monitoring and Controlling Phone Usage to Raise Awareness and Combat Digital Addiction (abstract)
15:25
Testing tailored weekly feedback messages for behavioral change of people living with diabetes using a mHealth application (abstract)
15:40
Social Network Analysis for Hadith Narrators from Sahih Bukhari (abstract)
Saturday, November 7th

View this program: with abstractssession overviewtalk overview

09:30-11:10 Session 15: Full paper session
09:30
How pubic emotions change with emergent social eventsevents (abstract)
09:50
A DEEP LEARNING MODEL FOR EARLY DETECTION OF FAKE NEWS ON SOCIAL MEDIA (abstract)
10:10
Collaborator Recommendation Based on Dynamic Attribute Network Representation Learning (abstract)
10:30
A Efficient Intrusion Detection Model Combined Bidirectional Gated Recurrent Units With Attention Mechanism (abstract)
10:50
A Joint Model of Entity Recognition and Predicate Mapping for Chinese Knowledge Base Question Answering (abstract)
11:10-11:30Break
11:30-12:30 Session 16: Short paper session
11:30
Heuristics-Based Process Mining on Extracted Philippine Public Procurement Event Logs (abstract)
11:45
Wireless EEG system for Sport Science: quantitative analysis of movement (abstract)
12:00
Personality Traits and Coping Strategies of eSports Players (abstract)
12:15
An Emerging Security Framework for Connected Autonous Vechicles (abstract)
12:30-12:40Break
12:40-13:40 Session 17: Keynote talk - Prof. Panos Markopoulos: What Can We Learn From Play?

This talk shall review the design of a number of games designed with the purpose of supporting motor learning, social skills, and encouraging physical activity and social interaction for various user groups emphasizing on the role of embodiment in interaction. It will also demonstrate how games can be valuable media for learning about people and I discuss the potential and limits of player modelling. The talk shall conclude with some general lessons and challenges for future work in this area.

Short bio:

Prof. Panos Markopoulos is a computer scientist specializing in the field of Human-Computer Interaction. He is a professor in Design for Behaviour Change at the Department of Industrial Design at the Eindhoven University of Technology. He has worked on several topics including task analysis, awareness systems, ambient intelligence, and interaction design for children. His current research concerns designing interactive technologies for rehabilitation and for playful learning. He is a founding editor of the journal Child-Compute Interaction and is currently serving as chief editor of the Behaviour & Information technology journal.