scholarly journals Powerless Conservatives or Powerless Findings?

2020 ◽  
Vol 53 (4) ◽  
pp. 741-745
Author(s):  
Stephen M. Utych
Keyword(s):  
Political Science ◽  
Alternative Explanation ◽  
Science Research ◽  
Relative Lack ◽  
Positive Effects ◽  
2016 Election ◽  
Using Data ◽  
Election Studies ◽  
File Drawer ◽  
File Drawer Problem

ABSTRACTNoting the lack of “anti-man” bias research in the 2016 election, Zigerell (2019) argued that a relative lack of conservatives in political science can lead to bias in publications against political science research supporting conservative viewpoints. This article offers an alternative explanation for this lack of research: that this research produces null findings and therefore is subject to the “file-drawer problem,” in which null effects are less likely to be published than positive effects. Using data from the 2016 American National Election Studies, I provide an illustrative example to support this claim and suggest some solutions.

Wargaming for Political Science Research

2020 ◽  
Author(s):  
Erik Lin-Greenberg ◽  
Reid Pauly ◽  
Jacquelyn Schneider
Keyword(s):  
Political Science ◽  
Science Research

Status of Women Contribution in Political Research World: A Case Study of the Journal Political Analysis

2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Sumeer Gul ◽  
Sangita Gupta ◽  
Sumaira Jan ◽  
Sabha Ali
Keyword(s):  
Political Science ◽  
Research Productivity ◽  
Science Research ◽  
Male And Female ◽  
Political Research ◽  
Female Authors ◽  
Political Analysis ◽  
Number Of Citations ◽  
Status Of Women

The study endeavors to highlight the contribution of women in the field of Political research globally. The study is based on the data gathered from journal, Political Analysis which comprises a list of articles published by authors for the period, 2004-2014. The proportion of the male and female authors listed in the publication was ascertained. There exists a colossal difference among male and female researchers in the field of Political Science research, which is evident from the fact that 88.30% of publications are being contributed by male authors while as just 11.70 % of publications are contributed by female authors. Furthermore, citation analysis reveals that highest number of citations is for the male contributions. In addition, the collaborative pattern indicates that largest share of the collaboration is between male-male authors. This evidently signifies that female researchers are still lagging behind in the field of Political Science research in terms of research productivity (publications)and thus, accordingly, need to excel in that particular field to overcome the gender difference. The study highlights status of women contribution in the Journal of Political Analysis from the period 2004-2014. The study provides a wider perspective of female research-contribution based on select parameters. However, the study can be further be enriched by taking into consideration various other criteria like what obstacles are faced by female researchers impeding their research, what are the effects of age and marital status on the research-productivity of female authors, etc.

scholarly journals Briefs

2013 ◽  
Vol 46 (02) ◽  
pp. 426-427
Keyword(s):  
Political Science ◽  
Graduate School ◽  
Science Research ◽  
Summer Institute ◽  
Science Students ◽  
Research Papers ◽  
Program Goal ◽  
Final Project ◽  
Duke University ◽  
Program Funding

The 2013 APSA RBSI Program has received funding from the National Science Foundation (NSF) to continue the RBSI for 2013. Additional program funding is provided by Duke University and APSA. Each summer, the Institute gives 20 students a look at the world of graduate study with a program of two transferable credit courses, one in quantitative analysis and one in race and American politics, to introduce the intellectual demands of graduate school and political science research methods. For a final project for both courses, students prepare original, empirical research papers, and top students are given the opportunity to present their research at APSA's Annual Meeting. Named in honor of the 1950 Nobel Peace Prize winner and former APSA President, Ralph J. Bunche, the Ralph Bunche Summer Institute (RBSI) program goal is to encourage students to pursue academic careers in political science. Students were notified of their acceptance into this year's program in mid-March. For more information about the program, visitwww.apsanet.org/rbsi.

Neural networks trained with high-dimensional functions approximation data in high-dimensional space

2021 ◽  
pp. 1-12
Author(s):  
Jian Zheng ◽  
Jianfeng Wang ◽  
Yanping Chen ◽  
Shuping Chen ◽  
Jingjin Chen ◽  
...  
Keyword(s):  
Neural Networks ◽  
Dimensional Space ◽  
Data Distribution ◽  
High Dimensional ◽  
Sufficient Information ◽  
Sufficient Data ◽  
High Dimensional Space ◽  
Positive Effects ◽  
The Neural Networks ◽  
Using Data

Neural networks can approximate data because of owning many compact non-linear layers. In high-dimensional space, due to the curse of dimensionality, data distribution becomes sparse, causing that it is difficulty to provide sufficient information. Hence, the task becomes even harder if neural networks approximate data in high-dimensional space. To address this issue, according to the Lipschitz condition, the two deviations, i.e., the deviation of the neural networks trained using high-dimensional functions, and the deviation of high-dimensional functions approximation data, are derived. This purpose of doing this is to improve the ability of approximation high-dimensional space using neural networks. Experimental results show that the neural networks trained using high-dimensional functions outperforms that of using data in the capability of approximation data in high-dimensional space. We find that the neural networks trained using high-dimensional functions more suitable for high-dimensional space than that of using data, so that there is no need to retain sufficient data for neural networks training. Our findings suggests that in high-dimensional space, by tuning hidden layers of neural networks, this is hard to have substantial positive effects on improving precision of approximation data.

scholarly journals The 2011 National Science Foundation Political Science Awards

2012 ◽  
Vol 45 (01) ◽  
pp. 124-126
Keyword(s):  
Political Science ◽  
National Science Foundation ◽  
Research Training ◽  
Basic Research ◽  
Science Research ◽  
Fiscal Year ◽  
The Political ◽  
Science Program ◽  
Political Processes ◽  
National Science

The Political Science Program at the National Science Foundation (NSF) announces it awards for basic research support and dissertation improvement grants for fiscal year 2011. The Program funded 25 new projects and 44 doctoral dissertation improvement proposals. The Political Science Program spent $5,234,470 on these research, training and workshop projects and $483,822 on dissertation training grants for political science students. The program holds two grant competitions annually —Regular Research, August and January 15; Dissertation Improvement, September 16 and January 15— and constitutes a major source of political science research funding as part of fulfilling NSF's mission to encourage theoretically focused empirical investigations aimed at improving the explanation of fundamental social and political processes and structures.

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