Socio-Technical Research Lab
Founded by Dr. Ann Rangarajan and based in
the Information Technology and Management Department at Illinois Institute of
Technology, this research lab focuses on interdisciplinary aspects of technology
and computing. Our mission is to uncover through research and experimentation the
complex interactions among individual, organizational, cultural, and societal
aspects which influence technology adoption.
Collaborators:
Dr. Saran Ghatak, Chair, Department of Social Sciences, Illinois Institute of Technology
Some of the research areas explored by this research lab include:
Diffusion of Information System Innovations
One of our areas of research is to examine the diffusion of emerging information
system innovations in sociotechnical domains such as healthcare and
cybersecurity. Specifically, we investigate sound theoretical information
systems (IS), psychological, and sociological principles and frameworks that
enable successful implementations of emerging technologies including:
Technology innovation models
Social, behavioral, and psychological aspects of diffusion and adoption
at an individual-level
Organizational-level innovation characteristics
Global and societal impacts of innovations
Ethical and legal implications of emerging information systems
Behavioral Aspects of Privacy and Security in the Digital Age
We study technology architecture and design
decisions that enable behavioral aspects of information privacy and security (IP&S) attributes of information systems
(IS) innovations. We are motivated by these research questions:
How can the unstated mandate to build information privacy and security's
characteristics be seamlessly integrated in a human-centric way into IS innovations and
software applications?
How can paradigms such as Design Thinking enable a balance between
IP&S and usability?
How does end-user's perception of IP&S influence IS implementation's
success?
How can design & build of security technologies account for the
socio-technical nature of cybersecurity?
Societal Impact of Data-driven Technology Innovations
Data-driven analytics and science hold promise of delivering cross-functional, yet meaningful business insights through the
power of data-at-scale. We aspire to leverage data to:
Enhance this comprehension through data visualization methods that
provide academicians a valuable understanding of macro-trends at a societal
level
Explore impacts of such technology innovations from a social, legal,
and ethical perspective
Apply learnings to
domains such as higher education and healthcare
Socio-technical approaches to measure harms caused by Artificial Intelligence Systems. We seek to answer the following:
What are the socio-technical considerations in assessing harms caused by AI systems?
What are critical operational aspects to implementing socio-technical frameworks that measure harms?
Intersection of Medical Sociology and Technology
Healthcare choices, use of healthcare
technology, and health tourism are all influenced by the culture and social
factors in the country or environment of the healthcare receiver, their
feelings and perceptions about healthcare technology, and cultural differences
between countries of the world. We shall aspire to explore:
How healthcare choices (including healthcare technology
choices) and outcomes are influenced by cultural, social, and environmental
factors
How technology-mediated communications in healthcare settings, especially between
physicians, are influenced by cultural, social, and related factors, and how
in-turn they influence healthcare choices, outcomes, and availability
Links between medical sociology and innovation in the business world as
healthcare is an industry and healthcare business leaders can use this
information to anticipate the needs of healthcare receivers to provide better/holistic healthcare solutions while at the same time ensuring the industry's success