Journal of the Association for Information Systems

Éditeurs invités

Heterogenous treatment effects in areas such as health care performance, social determinants of health, use of patient generated health data, and offering or pricing of health care, pharmaceutical, medical device, or insurance products.
AI/ML based tools that can reduce information asymmetry, improve decision-making, or optimize information flows.
Unstructured data analysis, such as of digital trace data, images, or user-generated content, that yields insights about topical or trend dynamics.
Impact of, or disparities in, health analytic capabilities or investments by hospitals, clinics, or less frequently considered entities such as laboratories, pharmacies, medical device manufacturers, public health agencies, or charitable organizations.
Integration of personal device data to analyze trends, identify public health issues, and efficacy of treatments.
Any interesting or creative area we have yet to research in-depth in IS, such as topics in genomics, signal processing/telemetry, clinical trials, or epidemiology.

Corey Angst, University of Notre Dame

Hilal Atasoy, Rutgers University

Sezgin Ayabakan, Temple University

Ofir Ben Assuli, Tel Aviv University

Sangeeta Shah Bharadwaj, Management Development Institute

Langtao Chen, Missouri University of Science and Technology

Yichen Cheng, Georgia State University

Anton Ivanov, University of Illinois

Juhee Kwon, City University of Hong Kong

Nakyung Kyung, National University of Singapore

Shaila Miranda, University of Oklahoma

Abhay Mishra, Iowa State University

Sunil Mithas, University of South Florida

Min-Seok Pang, Temple University

Sujeet Sharma, Indian Institute of Management Tiruchirappalli

Sriram Somanchi, University of Notre Dame

Junbo Son, University of Delaware

Ankita Srivastava, Bentley University

Monica Tremblay, William & Mary

Hongyi Zhu, The University of Texas at San Antonio