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
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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 ]
 
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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
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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
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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
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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
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Dr. Kevin SUN
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Dr. Qingpeng ZHANG
Prediction of chronic disease occurrence using EHR data: A pilot study in Hong Kong
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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
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Prof. Jeff HONG
Understanding Demand Uncertainty
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Prof. Leon ZHAO
Blockchain as Trust Platform for Cross-boundary Dataflow
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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 ]
 
 

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