Nettsider med emneord «Political Science»

In this seminar we talk about careers in political data-science

I dette seminaret snakker vi om karrierermuligheter innen data-vitenskap.

Martin Søyland (Political Science, UiO) presents his R package stortingscrape. This R package aims to effectivize this process for Norwegian parliamentary data. The package makes the data easily accessible, while also being flexible enough for tailoring the different underlying data sources to ones needs. The package philosophy revolves around three core consepts: 1) simplify data formats as much as possible, 2) make interconnected sources of data easily mergable, and 3) minimize overlap in information for different retreival functions.

Martin Søyland (Political Science, UiO) presents his R package stortingscrape. This R package aims to effectivize this process for Norwegian parliamentary data. The package makes the data easily accessible, while also being flexible enough for tailoring the different underlying data sources to ones needs. The package philosophy revolves around three core consepts: 1) simplify data formats as much as possible, 2) make interconnected sources of data easily mergable, and 3) minimize overlap in information for different retreival functions.

Thomas Hegghammer has published his first r-package, diaR on CRAN.

Thomas Hegghammer has published his first r-package, diaR on CRAN.

Opinion polls are not reported in the media as unfiltered numbers. And some opinion polls are not reported at all. This talk by Zoltán Fazekas from Copenhagen Business School is about how polls travel through several stages that eventually turn boring numbers into biased news. The theoretical framework describes how and why opinion polls that are available to the public are more likely to focus on change, despite most polls showing little to no change. These dynamics are empirically demonstrated using several data sources and measurements from two different democracies (Denmark and the U.K.) covering several years of political reporting. In the end, a change narrative will be prominent in the reporting of opinion polls which contributes to what the general public sees and shares, further consolidating a picture of volatile political competition.

Opinion polls are not reported in the media as unfiltered numbers. And some opinion polls are not reported at all. This talk by Zoltán Fazekas from Copenhagen Business School is about how polls travel through several stages that eventually turn boring numbers into biased news. The theoretical framework describes how and why opinion polls that are available to the public are more likely to focus on change, despite most polls showing little to no change. These dynamics are empirically demonstrated using several data sources and measurements from two different democracies (Denmark and the U.K.) covering several years of political reporting. In the end, a change narrative will be prominent in the reporting of opinion polls which contributes to what the general public sees and shares, further consolidating a picture of volatile political competition.

Optical character recognition (OCR) promises to open vast bodies of historical data to scientific inquiry, but OCR can be cumbersome when documents are noisy. The past 18 months have seen the launch of new OCR processors with vastly improved accuracy. In this seminar, Thomas Hegghammer will give an overview of the latest tools and present a new R package that offers access to the most powerful of them all, Google Document AI.

Optical character recognition (OCR) promises to open vast bodies of historical data to scientific inquiry, but OCR can be cumbersome when documents are noisy. The past 18 months have seen the launch of new OCR processors with vastly improved accuracy. In this seminar, Thomas Hegghammer will give an overview of the latest tools and present a new R package that offers access to the most powerful of them all, Google Document AI.

Lecturer: Svend-Erik Skaaning

Course credits: 8 ECTS

Course website

The Department of Political Science and Management at UiA are offering a PhD course in June 2021 on Political Systems and Public Governance, Governing Differentiation.

Neil Ketchley presents Violence, Concessions, and Decolonization: Evidence from the 1919 Egyptian Revolution​

The digitalization of records of political data, historical and current, has the potential to substantively enrich, and challenge, our understanding of political phenomena. The Political Data Science (PODS) research group brings together scholars interested in the collection and exploitation of these new sources of data.

Neil Ketchley presents Violent Contention and Decolonization: Evidence from the 1919 Egyptian Revolution 

Gender in Academia and the Professions

Professor Mary Blair-Loy, University of California, San Diego 

Course dates: 5 July - 9 July 2021

Democratization and Autocratization in a Comparative Perspective

Professor Svend-Erik Skaaning, Aarhus University, Denmark

Course dates: Dates: 5 July - 9 July 2021

Mixed and Merged Methods: Toward a Methodological Pluralism

Professor Dr. Giampietro Gobo, Department of Philosophy, University of Milan, Italy

Course dates: 28 June - 2 July

Case Study Research Methods

Professor Andrew Bennett, Department of Government, Georgetown University, Washington DC., USA

Course dates: 5 July - 9 July 2021

Collecting and Analyzing Big Data

Associate Professor Neal Caren, Department of Sociology, The University of North Carolina, Chapel Hill, USA

Dates: 28 June - 2 July 2021

Course credits: 5 ECTS

Course website

Contact: info@tik.uio.no

Course credits: 10 ECTS

Course website

Contact person: Mina Aasterud

Course instructor: Jan Erling Klausen, Asbjørn Røiseland, Signy Irene Vabo

Course credits: 10 ECTS

Course website

Contact person: Mina Aasterud

Course instructor: Professor Jenny Andersson, CNRS, MaxPo; Sciences Po, Paris, France and Professor Klaus Petersen, Danish Centre for Welfare Studies, University of Southern Denmark

Course credits: 8 ECTS

Course website

Contact person: Sarah Younes