Speaker:

Hamed Alhoori, Assistant Professor, Department of Computer Science, Northern Illinois University

Title:

Development of Models to Predict the Broader Impact of Research

Abstract:

Investment in research is critical for protecting and advancing societal well-being. Annually, more than two trillion U.S. dollars are spent worldwide on research and development. However, the increased demand for public resources has made providing evidence that research is having a positive impact on society a matter of great importance. Advances in science are often preceded by advancements in measurement. On this basis, in this talk, I will address some approaches to measure the impact of research beyond the scholarly community and traditional indicators of scholarly citations. I will present some of the newly developed metrics and machine learning models to understand and predict the broader impact of research using datasets such as online mentions, policy documents, patents, news, and emotional responses to scientific findings. The talk will also explore some of our current projects such as predicting scholarly impact at an early stage, discovering reproducible research, and measuring public understanding of science.

Speaker Bio:

Hamed Alhoori is an assistant professor in the Computer Science Department at Northern Illinois University where he directs the DATA Lab and was a visiting scientist at Argonne National Laboratory. His broad research interests are in the areas of science of science, data science, and computational social science. He earned his PhD and MS in Computer Science at Texas A&M University and his BSc in Computer Science at the University of Bahrain. He has worked on nationally and internationally funded multidisciplinary projects. His work has appeared in the ACM/IEEE JCDL, IJDL, JOI, TPDL, ASIST and other scholarly venues.

Live Stream:

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