Opening Address

CHING May Bo
Head and Professor
Department of Chinese and History, City University of Hong Kong

TSUI Lik Hang
Assistant Professor
Department of Chinese and History, City University of Hong Kong

Social Network Analysis, Literary Communities, and Women's Literature: Poetry Exchange Networks Among 18th-Century Women Poets in China

Jing CHEN
Assistant Professor
Department of Chinese Culture, Hong Kong Polytechnic University

Reflections on Close Encounters with Digital Humanities East and West

Simon MAHONY
Professor
Executive Director, Research Centre for Digital Publishing and Digital Humanities Beijing Normal University at Zhuhai

文學製圖中的唐長安

HE Jie 何捷
Associate Professor
Director, Spatial Humanities and Place Computation Laboratory School of Architecture, Tianjin University

從關鍵詞分布反思《史記》紀傳體例

CHYU Shih-Wen 邱詩雯
Assistant Professor
Department of Chinese as a Second Language, National Taiwan Normal University

MCBD: A Biographical Database for Modern Chinese History

Christian HENRIOT
Professor of Modern Chinese History
Aix-Marseille University

Cécile ARMAND
Postdoctoral Researcher
Aix-Marseille University

Fostering Digital Humanities Research in Hong Kong Literature: Data-Mining The Chinese Student Weekly

Wendy H. Y. WONG
Research Data Librarian
Chinese University of Hong Kong Library

Engaging Scholars, Students, and the Public with Digital Humanities using Mobile Applications

Eric H. C. CHOW
Manager
Apps Resource Centre, Hong Kong Baptist University

Workshop Session:

Collecting Historical “Big” Data from Chinese Local Gazetteers

Shih-Pei Chen
Senior Research Scholar
Max Planck Institute for the History of Science

In this workshop session, we will introduce LoGaRT, a suite of digital research tools that helps historians to study digitised local gazetteers (difangzhi 地方志). LoGaRT is designed with the philosophy of “treating the genre as a database for research inquiry” by using a large collection of digital gazetteers to statistically represent the genre. Practically, LoGaRT allows scholars to collect historical “big” data from digitised gazetteers via search or text-tagging. Once a historical dataset is collected, LoGaRT allows scholars to apply visual and statistical tools to obtain its overall distributions (the so-called “bird's-eye view”), which also serve as reading guides to understand the dataset in depth. Having the ability to quickly collect historical data brings scholars to confront the challenge of how to best interpret such data, which will be also discussed in the workshop.

Additional materials:

For those who would like to follow along during the workshop session, you are encouraged to register for a LoGaRT account at https://logart.mpiwg-berlin.mpg.de/LGServices2/. You are also welcome to watch the hands-on tutorial videos before the session (at https://youtu.be/VdILoBhzymI), but this is not required before you join the workshop.