Peter A. Gloor

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Collaborative Innovation Networks (COINs) are groups of self-motivated individuals from various parts of an organization or from multiple organizations, empowered by the Internet, who work together on a new idea, driven by a common vision. In this paper we report first results of a project that examines innovation networks by analyzing the e-mail archives(More)
Workflow management systems help streamline business processes and increase productivity. This paper describes the design and implementation of the DartFlow workflow management system. DartFlow uses Web-browser embedded Java applets as its front end and transportable agents as the backbone. While Java applets provide a safe and platform independent GUI, the(More)
This paper studies the temporal communication patterns of online communities of developers and users of the open source Eclipse Java development environment. It measures the productivity of each community and seeks to identify correlations that exist between group communication characteristics and productivity attributes. The study uses the TeCFlow(More)
iQuest is a novel software system to improve understanding of organizational phenomena with greater precision, clarity, and granularity than has previously been possible. It permits to gain new insights into organizational behavior, addressing issues such as tracking information while respecting privacy, comparing different interaction channels, network(More)
We introduce the concept of sensor-based applications for the daily business settings of organizations and their individual workers. Wearable sensor devices were developed and deployed in a real organization, a bank, for a month in order to study the effectiveness and potential of using sensors at the organizational level. It was found that patterns of(More)
Social media today provide an impressive amount of data about users and their societal interactions, thereby offering computer and social scientists, economists, and statisticians – among others– many new opportunities for research exploration. Arguably, one of the most interesting lines of work is that of predicting future events and developments based on(More)
We show that it is possible to identify individual personality traits and measure group performance in a Post-anesthesia Care Unit (PACU) using wearable sensors.We instrumented a group of 67 nurses working in the PACU of a Boston area hospital with sociometric badges capable of measuring physical activity, speech activity, face-to-face interaction, and(More)
We introduce a novel set of social network analysis based algorithms for mining the Web, blogs, and online forums to identify trends and find the people launching these new trends. These algorithms have been implemented in Condor, a software system for predictive search and analysis of the Web and especially social networks. Algorithms include the temporal(More)
We show how to obtain high level descriptions of human behavior in terms of physical activity, speech activity, face-to-face interaction (f2f), physical proximity, and social network attributes from sensor data. We present experimental results that show that it is possible to identify individual personality traits as well as subjective and objective group(More)