Welcome

The DSAIG seminar series aim to bring together faculty members and students across different disciplines within the University to discuss research topics that are related to Data Science and its applications. It serves as a forum to foster interdisciplinary research and to uncover new possibilities for research collaboration in the Data Science field.

Monthly seminars will be organized with focuses on specific research topics related to Data Science and its applications, and given by renowned experts of the field with a broad range of academic backgrounds including Business, Engineering, Science, and Social Science.

For enquiries, please contact us at cb-dsaig@cityu.edu.hk.


Next Seminar

By Prof. Israr QURESHI

Next Seminar

SOCIAL NETWORK ANALYSIS

By Prof. Israr QURESHI

Research School of Management
Australian National University

Date
25 September 2019 (Wednesday)
Time
10:00am-12:00pm
Venue
Room 14-222, 14/F, Lau Ming Wai Academic Building, City University of Hong Kong
Language
English
Registration
 

Abstract
Social network analysis is increasingly being used across various disciplines such as organizational studies, management, business, sociology, political science, communications, etc. Quantitative empirical studies that analyze social, management, and business phenomena, formulate hypotheses, and test them through social network analysis are increasing in social sciences, including management and organization research. In this workshop, we will learn how to apply social network analysis to test various theories. This workshop is geared towards providing foundations in social network methodologies that covers data collection, research ethics, and data analysis. We will use the UCINET software (if time permit).

Biography
Israr Qureshi is a Professor at Research School of Management, Australian National University. He earned his PhD from Ivey Business School, Western University. He is engaged in projects that investigate various aspects of social value creation through sustainable development, social entrepreneurship, and ICT. He is involved in an ambitious project that aims to investigate the social impact of social and indigenous enterprises in Australia. He is also engaged in various initiatives to address climate change, including zero-carbon future (A$10 million project), enhanced earth systems, and negative emission technologies. His has published in Academy of Management Learning and Education, Journal of Business Ethics, Journal of Management, Journal of Management Studies, Journal of Organization Behavior, MIS Quarterly, Organization Studies, among others.


Forthcoming

By Zhenzhen WANG
A Lightening Introduction to Parallel Computing: Using Apache Spark as an Example
By Zhenzhen WANG
Traditionally, many problems are so large and/or complex that it is impossible to solve them on a single computer, especially given limited computer ... [ more ]
 
Dr. Geoffrey TSO
Development of two consumer satisfaction and confidence indexes
By Dr. Geoffrey TSO (MS)
We shall cover the development of two consumer indexes with local impacts in Hong Kong. The Hong Kong Consumer Satisfaction Index (HKCSI) is a leading performance indicator for HK businesses ... [ more ]
 
Dr. LI Xi
One picture is worth 253 characters – Using photo mining to understand the role of a camera in online word of mouth
By Dr. LI Xi (MKT)
The last few years have witnessed an explosive growth in the number of photos attached to reviews in online communities. In this paper, using two datasets from TripAdvisor and Yelp, we empirically ... [ more ]
 
 

Previous

By Dr. Antoni B. CHAN
Simplifying Mixture Models with the Hierarchical Em Algorithm
By By Dr. Antoni B. CHAN
We propose a hierarchical EM algorithm for simplifying a finite mixture model into a reduced mixture model with fewer mixture components ... [ more ]
 
Dr. Lishuai LI
Characterize Operations in Air Transportation Systems Based on Large-scale Operational Data
By Dr. Lishuai LI (SEEM)
Many operations in air transportation systems, such as flying an airplane or air traffic management, are performed by human following specific procedures ... [ more ]
 
Dr. Hailiang CHEN
Vertical Integration, Movie Screening, and Theatrical Performance
By Dr. Hailiang CHEN (IS)
In Mainland China, vertical integration between producers/distributors and exhibitors is quite common in the motion picture industry ... [ more ]
 
Prof. Jun WANG
Neurodynamics-based Parallel Data Selection in the Era of Big Data
By Prof. Jun WANG (CS)
In the present information era, huge amount of data to be processed daily. In contrast of conventional sequential data processing techniques, parallel data ... [ more ]
 
Dr. Junhui WANG
A Smooth Collaborative Recommender System
By Dr. Junhui WANG (MA)
In recent years, there has been a growing demand to develop efficient recommender systems which track users' preferences and recommend potential items of interest to users. ... [ more ]
 
Dr. LI Xin
Collaboration Process Pattern & Teamwork Performance: A Graph Mining-Based Methodology
By Dr. LI Xin (IS)
It is well documented in management literature that characteristics of collaboration processes strongly influence team ... [ more ]
 
Prof. Frank CHEN & Dr. Eman LEUNG
A Data-driven Approach to the Integrated Elderly Care
By Prof. Frank CHEN & Dr. Eman LEUNG (MS)
The global trend today is to shift the care burden away from the acute care and long-term care, which are ... [ more ]
 
Dr. Huazhong ZHAO
Status Leaders, Hubs and their Social Influence
By Dr. Huazhong ZHAO (MKT)
The prevalence of internet technology and social media has provided marketers new opportunities to identify influencers and utilize their social influence to affect consumer decisions. We introduce status leaders ... [ more ]
 
Dr. Kevin SUN
Mining Triage Notes to Predict Emergency Department Admissions
By Dr. Kevin SUN (MS)
Emergency department (ED) overcrowding is a worldwide problem that undermines hospitals’ ability to provide timely care to patients who need it urgently. One of the ... [ more ]
 
Dr. Qingpeng ZHANG
Prediction of chronic disease occurrence using EHR data: A pilot study in Hong Kong
By Dr. Qingpeng ZHANG (SEEM)
Chronic diseases are major causes of morbidity and mortality worldwide. Many chronic diseases are preventable through effective disease management and prevention programs. In addition, some ... [ more ]
 
Prof. Jonathan ZHU
Mining Time Information in Digital Data
By Prof. Jonathan ZHU (COM)
Time is the single common denominator across all types of digital data from the internet, mobile networks, and IoT (internet of things). However, the rich information embedded in timestamps of digital data has often been taken for granted. As such, this gold ... [ more ]
 
Prof. Jeff HONG
Understanding Demand Uncertainty
By Prof. Jeff HONG (EF/MS)
Poisson processes are often used to model arrival (demand) processes in many business and engineering fields. In this talk, I will show you the results from a sequence of studies that we have done trying to understand the uncertainty behaviors in demand processes. The examples include phone calls ... [ more ]
 
Prof. Leon ZHAO
Blockchain as Trust Platform for Cross-boundary Dataflow
By Prof. Leon ZHAO (IS)
In the era of big data, more and more companies have become digitized. Further, under globalization initiatives such as the One-Belt One Road effort, business processes are being automated nowadays cross companies, leading to cross-boundary data flow. However, conventional information ... [ more ]
 
 

Privacy Policy · Copyright · Disclaimer · Accessibility · Contact Us
© 2024 City University of Hong Kong. All Rights Reserved.