Suchergebnisse

ActivitiesChun-tu Hsueh, Huang Hsing Foundation, was elected a
foreign member of the National Academy of Sciences of Ukraine and
honorary fellow of the Institute of East European, Russian and
Central Asian Studies, Chinese Academy of Social Sciences.

Machiavelli is presented as the founder of modern political science, with due regard to the fact that he never spoke of "political science." His usage of "prudence" and "art" in The Prince is examined to see whether, as founder, he was a teacher or a ruler of future generations. His comprehensive attack on classical political science is outlined and developed through two essential points, the cycle and the soul.

We are now entering a new era of computing in political science. The first era was marked by punched-card technology. Initially, the most sophisticated analyses possible were frequency counts and tables produced on a counter-sorter, a machine that specialized in chewing up data cards. By the early 1960s, batch processing on large mainframe computers became the predominant mode of data analysis, with turnaround time of up to a week. By the late 1960s, turnaround time was cut down to a matter of a few minutes and OSIRIS and then SPSS (and more recently SAS) were developed as general-purpose data analysis packages for the social sciences. Even today, use of these packages in batch mode remains one of the most efficient means of processing large-scale data analysis.

We are now entering a new era of computing in political science. The first era was marked by punched-card technology. Initially, the most sophisticated analyses possible were frequency counts and tables produced on a counter-sorter, a machine that specialized in chewing up data cards. By the early 1960s, batch processing on large mainframe computers became the predominant mode of data analysis, with turnaround time of up to a week. By the late 1960s, turnaround time was cut down to a matter of a few minutes and OSIRIS and then SPSS (and more recently SAS) were developed as general-purpose data analysis packages for the social sciences. Even today, use of these packages in batch mode remains one of the most efficient means of processing large-scale data analysis.

Imprint varies, : New York, N.Y. : Cambridge University Press. ; Vols. 6-8 accompanied by supplements: Proceedings of the association at its 8th-10th annual meetings, 1911-Dec. 30, 1913/Jan. 1, 1914. Vol. 24, no. 1, Feb. 1930, accompanied by suppl.: Report of the Committee on Policy of the Association. ; Mode of access: Internet. ; Vols. 1 (1906)-10 (1916). (Suppl. to v. 11, no. 3) 1 v. (Includes index to the association's Proceedings, 1904-14); v. 1 (1906)-20 (1926). 1 v. (Includes index to the association's Proceedings, 1904-14); v. 1 (1906)-57 (1953). 1 v.; v. 1 (1906)-62 (1968). 1 v.

Political scientists are wary of engaging with 'the public' on mainstream and social media because they fear those mediums fail to get across the deep and nuanced argument they develop in their own research. This article suggests a way of justifying public engagement that begins not with debates about the ethical and political concerns of doing this in practice (of which there are many), but how we as political scientists justify public media engagement to ourselves on the basis of the ethical and political process of 'doing' political science. As such, this article identifies the disciplinary basis upon which we may justify media-driven public engagement as an integral part of political science as an academic enterprise. Drawing on current epistemological debates in political science, the article characterises moments of political research as impressionistic exercises, which require public engagement. This means making the public aware of the deep and valuable insights of political science, in a way that sketches out how the discipline can shed light on important social and political phenomena, thereby informing our own scholarly thinking, and that of those we engage with.