Big Data Research Center
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About the Center
As computing power and network speeds continue to advance, the volume of data generated by enterprises is growing exponentially. Extracting meaningful insights from massive datasets has become a critical driver of competitive advantage.
Established in 2012, the Soochow University Big Data Research Center focuses on industry collaboration, helping organizations discover value in large-scale data while cultivating cross-disciplinary data analytics talent.
Our research spans social science, global issues, Big Data analytics, and Cloud Computing system integration, covering the following domains:
Contact Us
For research collaborations or general inquiries, please reach out to our center:
No. 70, Linxi Rd., Shilin Dist., Taipei · Office B508
Tel:+886 2 2881-9471 ext. 5324
Contact:Research Assistant Chou
Email:pingchun@scu.edu.tw
No. 56, Sec. 1, Guiyang St., Zhongzheng Dist., Taipei · Office 4109
Tel:+886 2 2311-1531 ext. 2903
Contact:Research Assistant Chou
Email:pingchun@scu.edu.tw
Research Areas

Financial & Business Intelligence
Market demand, industrial dynamics, and global risk management.

Enterprise Operations
Extended ERP, business intelligence (BI), decision support systems (DSS), and supply chain risk.

Social Policy
Demographics, aging society, youth employment, and social enterprise models.

Regional Issues
Regional safety, cross-strait economics, and risk evaluation.

Global Changes
Environmental shifts, food crises, and predictive analysis in the style of Recorded Future.

Internet Marketing
Behavior analysis, personalized advertising, and social-network sentiment mining.

Smart City
Social welfare optimization and integrated intelligence command centers (war rooms).

Smart Transportation
Next-generation telematics, V2V, V2R, and DSRC communication.

Smart Buildings
Cloud-based environmental control software and sensor data analysis.

Disease Surveillance
Real-time social-media stream tracking of epidemics (e.g., Twitter/X epidemic monitoring).

Other
General social-science big-data methodology and cloud system integration.
