15521. Wilson, T. Kelly, IU Center for Art and Design (31:55)

Date:
2016-07-31
Main contributors:
Wilson, T. Kelly, Shanahan, James, Cummings, Janae
Summary:
“I have yet to meet the person I can’t teach to draw,” T. Kelly Wilson tells Through the Gates host Jim Shanahan in this week’s episode. Wilson is an architect and director of the Indiana University Center for Art and Design in Columbus. Wilson talks about the importance of drawing on creativity and invention. “When you go to draw and you look to perceive … the world becomes suddenly very strange and complex,” he said, adding that common notions of what you’re seeing change and modify when translating them to pictures. This episode also introduces Janae Cummings, a new Through the Gates podcast host, who will also be featured in upcoming “Five Questions” segments featuring campus visitors and faculty, staff, students, friends and alums of IU.

15522. WIM | Firm Partisan Political Positioning, Affective Polarization, and Risk Communication Examini... (1:24:00)

Date:
2021-02-12
Main contributors:
Dr. Richard Benton
Summary:
COVID-19 is among the most salient issues in the world presently, and for many current executives, it is likely to be among the greatest challenges they will face. Upon entering the U.S. context, the disease was immediately subject to the process of affective polarization, with clear partisan splits forming around perceptions of its risks that did not relate to science. We explore whether firms’ preexisting political positioning affected how they voluntarily disclosed to their investors on a novel, affectively polarized issue by examining whether firms’ disclosure of COVID-19 risks covaries with their partisan political giving. Analyzing conference call and campaign contribution data for the S&P 500, we find a positive association between a firm’s contributions to Democrats and its disclosure of COVID-19 risks.

15523. WIM | How Has COVID-19 Affected Job Markets Worldwide? (1:08:00)

Date:
2021-02-26
Main contributors:
Dr. Kosali Simon, Dr. Coady Wing
Summary:
This presentation starts by discussing how COVID-19 has affected job markets worldwide, key questions, methods, and data sources used. I will then focus on the research my colleagues and I have conducted in the last year, paying most attention to the focal paper using Current Population Survey monthly data from the US. In that paper, we make several contributions to understanding the socio-demographic ramifications of the COVID-19 epidemic and policy responses on employment outcomes of subgroups in the U.S., benchmarked against two previous recessions. First, monthly Current Population Survey (CPS) data show greater declines in employment in April and May 2020 (relative to February) for Hispanics, younger workers, and those with high school degrees and some college. Between April and May, all the demographic subgroups considered regained some employment. Reemployment in May was broadly proportional to the employment drop that occurred through April, except for Blacks. Second, we show that job loss was larger in occupations that require more interpersonal contact and that cannot be performed remotely. Third, we show that the extent to which workers in various demographic groups sort (pre-COVID-19) into occupations and industries can explain a sizeable portion of the gender, race, and ethnic gaps in recent unemployment. However, there remain substantial unexplained differences in employment losses across groups. We also demonstrate the importance of tracking workers who report having a job but are absent from work, in addition to tracking employed and unemployed workers. We conclude with a discussion of policy priorities and future research needs implied by the disparities in labor market losses from the COVID-19 crisis that we identify.

15524. WIM | Statistical models for forecasting American elections (1:01:00)

Date:
2020-10-09
Main contributors:
G. Elliott Morris
Summary:
G. Elliott Morris is a data journalist at The Economist and writes mostly about American politics and elections, usually by engaging in a close study of political science, political polling and demographic data. He is responsible for many of The Economist’s election forecasting models, including their 2020 US presidential election forecast.

15525. WIM | Technical Forecasting of Political Conflict (1:19:00)

Date:
2020-11-13
Main contributors:
Dr. Philip Schrodt
Summary:
Over the past couple of decades, technical models, both statistical, machine learning and combinations of these methods, for forecasting various forms of political conflict, including protest, violent substate conflict, and even coups, have become surprisingly common in policy and NGO communities, particularly in Europe, though not, curiously, in US academia. These methods, working with readily available, if noisy, open source data, use a number of familiar predictive analytical approaches such as logit models in the statistical realm and random forests in the machine learning, and consistently outperform human analysts. This talk will first review the current state of the field, with a particular emphasis on why current models work whereas prior to 2005 there was little consistent success with the problems, and then present some challenges that remain unresolved. The talk will assume familiarity with general social science quantitative approaches, but not with the details of specific technical approaches: lots of graphics, a couple tables, no equations.

15526. WIM | Text Mining in Python for Social Scientists (1:46:00)

Date:
2020-10-23
Main contributors:
Helge-Johannes Marahrens
Summary:
Textual data are central to the social sciences. However, they often require several pre-processing steps before they can be utilized for statistical analyses. This workshop introduces a range of Python tools to clean, organize, and analyze textual data. It is intended for researchers who are new to working with textual data, but are familiar with Python or have completed the Introduction to Python workshop. Python is best learned hands-on. Python packages: nltk, fuzzywuzzy, re, glob, sklearn, pandas, numpy, matplotlib

15527. WIM | Webscraping and APIs Using Python for Social Scientists (1:50:00)

Date:
2020-09-18
Main contributors:
Helge-Johannes Marahrens, Anne Kavalerchik
Summary:
In recent years, social scientists have increased their efforts to access new datasets from the web or from large databases. An easy way to access such data are Application Programming Interfaces (APIs). This workshop introduces techniques for working with APIs in Python to retrieve data from sources such as Wikipedia or The New York Times. It is intended for researchers who are new to working with APIs, but are familiar with Python or have completed the Introduction to Python workshop. Python is best learned hands-on. To side step any issues with installation, we will be coding on Jupyter Notebooks with Binder. This means that participants will be able to follow along on their machines without needing to download any packages or programs in advance. We do recommend requesting a ProPublica Congress API key in advance (https://www.propublica.org/datastore/api/propublica-congress-api). This allows participants to run the API script on their own machines. Helge-Johannes Marahrens is a doctoral student in the department of Sociology at Indiana University. He recently earned an MS in Applied Statistics and is currently working toward a PhD in Sociology. His research interests include cultural consumption, stratification, and computational social science with a particular focus on Natural Language Processing (NLP). Anne Kavalerchik is a doctoral student in the departments of Sociology and Informatics at Indiana University. Her research interests are broadly related to inequality, social change, and technology.

15528. Win for Women’s B-Ball with Nicole Cardano-Hillary, A (16:38)

Date:
2021-05-11
Main contributors:
Cardano-Hillary, Nicole, Monaghan, Elaine, Baron, Violet
Summary:
After an historic win for women’s b-ball at IU, Elaine and Violet sit down with Nicole Cardano-Hillary to hear what it means to taste victory while being a full-time student, gender in a male-dominated sport, and what might be next for a sport champ at the Media School.

15529. Windows to the Future (19:31)

Date:
1989-05-03
Main contributors:
Indiana University School of Medicine. Medical Educational Resources Program
Summary:
A tour of Indiana University School of Medicine's new Medical Research and Library Building on the Indiana University–Purdue University Indianapolis (IUPUI) campus. An abbreviated version of a longer video by the same name. The library building was dedicated on May 20, 1989 at the annual IU School of Medicine Alumni Day.

15530. Wings over Brazil (14:15)

Date:
1944
Main contributors:
United States. Office of the Coordinator of Inter-American Affairs, United States. Office of Strategic Services, United States. Federal Security Agency. Office of Education
Summary:
Reports on advancements in aviation in Brazil. Begins with an early figure in Brazilian aviation history, Alberto Santos-Dumont, the creation of his memorial, and the founding of the Escola de Especialistas de Aeronautica in 1941. Reports on Brazil's role among the allied nations in wartime, include air patrols of its coastline and providing protection for ocean transport ships. Profiles the developing infrastructure of air travel in Brazilian nation with visits to newly constructed airports at Belem, Rio De Janeiro, Sao Paulo, Porto Alegre and Natal.