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  • Research Profile
DataLattice
  • Research
  • Research Profile

Research Focus

Research focused on data as structured evidence and as a form of capital, with applications in healthcare and complex socio-technical systems.

Research Areas

  • Data Capital and Data Economy
  • Data Infrastructure and Information Systems
  • Evidence-based Systems and Decision Making
  • Data-driven Healthcare and Clinical Informatics  

External Links

  • Google Scholar | ORCID

Selected Publications

Books

Theoretical Foundations

1. Tang C. Data Capital: How Data is Reinventing Capital for Globalization. Berlin/Heidelberg, Germany: Springer; 2021.
Publisher Springer Nature
Citations
2. Tang C. The Data Industry: The Business and Economics of Information and Big Data. Hoboken, NJ: Wiley; 2018.
Publisher Wiley Online Library

Papers

A. Data Economy & Governance

These works establish the conceptual and governance foundations of data as a form of capital.

1. Tang C. , Plasek J. M., Zhu Y., & Huang Y. Data sovereigns for the world economy. Humanit Soc Sci Commun 7, 184 (2020).
DOI 10.1057/s41599-020-00664-y
Citations
2. Tang C. , Plasek J. M., Zhu Y., Huang Y., Bates D. W. Following data as it crosses borders during the COVID-19 pandemic. J Am Med Inform Assoc 27(7):1139–1141 (2020).
Tang C. and Plasek J. M. contributed equally to this work.
DOI 10.1093/jamia/ocaa063
Citations
3. Tang C. , Plasek J. M., Bates D. W. Rethinking Data Sharing at the Dawn of a Health Data Economy: A Viewpoint. J Med Internet Res 20(11):e11519 (2018).
DOI 10.2196/11519
Citations

B. Clinical & Data Systems

These studies translate data-centric frameworks into clinical and biomedical systems.

4. Tang C. , Ma J., Zhou L., Plasek J., He Y., Xiong Y., Zhu Y., Huang Y., Bates D. Improving Research Patient Data Repositories From a Health Data Industry Viewpoint. J Med Internet Res 24(5):e32845 (2022).
DOI 10.2196/32845
Citations
5. Tang C. , Plasek J. M., Shi X., Wan M., Zhang H., Kang M.-J., Wang L., Dulgarian S. M., Xiong Y., Ma J., Bates D. W., Zhou L. Estimating Time to Progression of Chronic Obstructive Pulmonary Disease With Tolerance. IEEE J Biomed Health Inform 25(1):175–180 (2021).
DOI 10.1109/JBHI.2020.2992259 Citations IEEE Metrics

C. Algorithmic Foundations

These works provide the algorithmic and computational foundations underlying the research program.

6. Wang Q., Lai K.H., Tang C. Solving combinatorial optimization problems over graphs with BERT-Based Deep Reinforcement Learning. Information Sciences 619, 930–946 (2023).
DOI 10.1016/j.ins.2022.11.073 Citations PlumX
7. Wang Q., Tang C. Deep reinforcement learning for transportation network combinatorial optimization: A survey. Knowledge-Based Systems 233, 107526 (2021).
DOI 10.1016/j.knosys.2021.107526 Citations PlumX

And..

Education and Training

  • PhD, Computer and Software Theory (Data Mining)

Fudan University

 

  • Postdoctoral Training, Medical Informatics

Harvard Medical School

 

  • MSE, Software Engineering

Fudan University

 

  • Additional Education or Training:

    BS, Computer Networking, Shanghai Jiao Tong University
    BS, Nursing, The Open University of China
    Clinical Training, Nursing (Hospital Internship), Loudi City Health School

Professional Service

  • Member, SCGES (Standing Committee for Gender Equality in Science)

 

  • Service roles with IEEE Boston Section (Institute of Electrical and Electronics Engineers)
  • Service roles with ACM-W (Association for Computing Machinery – Women)

© DataLattice Research · Chunlei Tang, PhD

DataLattice Research  |  Data Science · Data Capital · Applied Data Systems

 

Contact: research@datalattice.us

 Cambridge, MA 02138, USA