Yan Li
Data science and ICT4D researcher, Assistant Professor, Claremont Graduate University
Claremont, California, United States
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Dr. Yan Li is an Assistant professor at Center for Information Systems and Technology, Claremont Graduate University. Driven by her intellectual curiosity for data and emergent information technologies, and her passion for designing and building things, she has oriented her career in the direction that integrates research, teaching, and practice in the realm of information science. Her research focuses on data and knowledge management areas such as data mining, data warehousing, and semantic technologies with an emphasis on exploring the synergies between information systems and data analytics. Her other research stream focuses on developing Information and Communication Technology (ICT) solutions for under-served population in low-resource areas and improving social inclusion in health care. She continuously investigates and learn new and advanced methods, techniques and tools for big data analytics, text mining, ETL, business intelligence and visual analytics, and multiple criteria decision analysis. Prior to joining CISAT, she was a data scientist in industry with hands-on experience in advanced analytics, machine learning, and big data platforms.
Area of Expertise
Knowledge management practices in ICT4D projects
Knowledge management is a mature area of research in organizational sciences and information systems that investigate methods and processes to improve knowledge of individuals and collective knowledge of institutions. A critical driving force behind many ICT4D projects is the goal of reducing knowledge gaps in low resource countries. However, theoretical foundations of knowledge management literature and its best practices have not been clearly articulated or transferred to the domain of ICT4D. As technologies continue to flatten knowledge boundaries, improving knowledge outcomes will require greater attention to the implications of knowledge management in the design of ICT4D solutions, development of individual knowledge, creation of knowledge networks and management of organizational change practices. To address this literature gap, we conducted a multi-stage Delphi study involving ICT4D experts from global non-profit organizations and academics, as well ICT4D beneficiaries. From a theoretical lens of knowledge value chain, our study provides insights into the challenges and factors that impact the creation, storage, distribution, and application of knowledge in ICT4D projects. Our findings provide guidance on improving knowledge management practices in ICT4D projects for a variety of stakeholders that include researchers, ICT4D practitioners, software developers, non-profit organizations, and funding agencies.
Yan Li
Data science and ICT4D researcher, Assistant Professor, Claremont Graduate University
Claremont, California, United States
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