Özgür Özmen

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1. INTRODUCTION Knowledge spillovers are studied widely in literature and linked to innovation measures and outputs (Jaffe, 2008; Feldman & Audretsch, 1996). Spillovers are defined as the migration of knowledge beyond the domain borders (Fal-lah & Ibrahim, 2004). In our study, spillovers are not only expressed in terms of knowledge transfer but also(More)
One of the most significant problems in organizational scholarship is to discern how social collectives govern, organize, and coordinate the actions of individuals to achieve collective outcomes. The collectives are usually interpreted as complex adaptive systems (CAS). The understanding of CAS is more likely to arise with the help of computer-based(More)
Although adoption of newer Point-of-Care (POC) diagnostics is increasing, there is a significant challenge using POC diagnostics data to improve epidemiological models. In this work, we propose a method to process zip-code level POC datasets and apply these processed data to calibrate an epidemiological model. We specifically develop a calibration algorithm(More)
Motivation and problem-domain preferences of scientists can affect aggregate level emergence and growth of problem domains in science. In this study, we introduce an agent-based model that is based on information foraging and expectancy theory to examine the impact of rationality and openness on the growth and evolution of scientific domains. We simulate a(More)
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