PoliInformatics is an interdisciplinary field that promotes diverse methodological approaches to the study of politics and government. The goal of PoliInformatics is to leverage advances in computer science, machine learning (broadly defined) and data visualization to promote analyses of very large and unstructured datasets related to the study of government and politics. Very rapid developments i
n data availability call for innovative approaches to longstanding questions related to governance. We seek to steer computational scientists toward new research opportunities while promoting data-rich analyses within mainstream political science research. We spell it as both poliInformatics and poli-informatics and sometimes we just say political informatics. The members possess expertise in legal informatics, political science, machine learning, political economics, communication, information science, data journalism, electrical engineering, statistics, visualization, and information systems. The primary role of the steering committee is to promote discipline specific Research Competitions, that feed into two interdisciplinary collaborative workshops. The Research Coordination Network (RCN) is called PiNet – a network of engineers, computer scientists, information scientists, social scientists, and you! We will be sharing information on this page, on our website and on the PiNet Wiki. Please look for more information about forthcoming Research Competitions in Spring 2014, or contact us so that we can add you to our mailing list.
