Dr ivie jocelyn Dr. Ivie received her Bachelor's degree in Computer Science from the University of California, Berkeley in 1991. She then went on to earn her Master's degree in Computer Science from Stanford University in 1993, followed by her Ph.D. in Computer Science from Stanford in 1999. Prior to joining the faculty at the University of Washington, Dr. Ivie spent three years as a Postdoctoral Researcher at the Palo Alto Research Center (PARC). Throughout her career, Dr. Ivie has made significant contributions to the field of HCI. Her research has focused on a variety of topics, including mobile and ubiquitous computing, computer-supported cooperative work, and computer-supported collaborative learning. She has published numerous papers in top-tier HCI conferences and journals, and her work has been cited over 7,000 times. One of Dr. Ivie's most notable contributions to the field of HCI is her work on mobile and ubiquitous computing. She has conducted extensive research on how mobile and ubiquitous technologies can be used to support collaboration and coordination in various work settings. For example, she has studied how mobile devices can be used to support collaboration among healthcare professionals in hospitals, and how ubiquitous computing technologies can be used to support collaboration among construction workers on construction sites. Dr. Ivie has also made significant contributions to the field of CSCW. She has conducted research on how technology can be used to support collaboration and coordination in complex work settings, such as emergency response centers and air traffic control centers. Her work has focused on understanding the social and organizational aspects of collaboration, and how technology can be designed to support these aspects. In addition to her research, Dr. Ivie is also an active member of the HCI community. She has served on numerous program committees for HCI conferences, and she has also served as a reviewer for several HCI journals. She is currently an Associate Editor for the ACM Transactions on Computer-Human Interaction (TOCHI), one of the top journals in the field of HCI. Dr. Ivie is also committed to teaching and mentoring the next generation of HCI researchers. She has taught a variety of courses on HCI, CSCW, and Ubiquitous Computing at the University of Washington, and she has also advised numerous graduate students. Many of her former students have gone on to successful careers in academia, industry, and government. Dr. Ivie received her Bachelor's degree in Computer Science from the University of California, Berkeley in 1991. She then went on to earn her Master's degree in Computer Science from Stanford University in 1993, followed by her Ph.D. in Computer Science from Stanford in 1999. Prior to joining the faculty at the University of Washington, Dr. Ivie spent three years as a Postdoctoral Researcher at the Palo Alto Research Center (PARC). Throughout her career, Dr. Ivie has made significant contributions to the field of HCI. Her research has focused on a variety of topics, including mobile and ubiquitous computing, computer-supported cooperative work, and computer-supported collaborative learning. She has published numerous papers in top-tier HCI conferences and journals, and her work has been cited over 7,000 times. One of Dr. Ivie's most notable contributions to the field of HCI is her work on mobile and ubiquitous computing. She has conducted extensive research on how mobile and ubiquitous technologies can be used to support collaboration and coordination in various work settings. For example, she has studied how mobile devices can be used to support collaboration among healthcare professionals in hospitals, and how ubiquitous computing technologies can be used to support collaboration among construction workers on construction sites. Identago is designed to be easy to use and integrate into existing workflows. It can be run as a standalone command-line tool, or it can be integrated into other applications and systems using its API. Identago also includes a number of pre-built connectors for popular databases and data processing systems, making it easy to anonymize data in real-time as it is being processed.
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