Data Analytics Colloquium

Upcoming webinars

Big data problem taxes computation resources in many ways including RAM, storage, swapping, ability to parallelize, and the limitations of specific software packages to even perform the operations. There is no conventional way to estimate spacial models of this size. As a result we have been required to creatively reform matrix objects, use relatively obscure linear algebra relationships, break operations up into multiple discrete tasks, and consider hardware issues in new ways. The current solution is written in C++ code to run on AWS, which is labor intensive and ultimately expensive. Human  Read More

NCHU Announcement 中興大學公告 Research shows that new information about the likely future policy direction of government can affect financial markets. So too can unexpected events, such as armed conflict or terrorist attacks. We build on existing research in two ways. First, we contend that news about a government’s resolve to follow through with their stated policies should also affect financial markets. We test this argument using data on President Donald Trump’s Mexico-related policy tweets both before and after he became president, finding that exchange rate volatility increases in response  Read More

NCHU Announcement 中興大學公告 Recently, Pfizer pharmaceutical company announced promising results from late-stage trails of an RNA based vaccine designed to induce immunity against COVID-19. For many, this evoked thoughts of the “beginning of the end” of this unprecedented global public health crisis. However, even the best of vaccines will be useless if people are unwilling to submit to inoculations. Just as fast as Pfizer announced the results, “anti-vaxxers” began questioning the safety of this new type of vaccine, and recent news reports suggest at least 35% of the  Read More

NCHU Announcement 中興大學公告 Quantitative social science represents a field of study, in which we collect and analyze data to understand and solve problems in our society. In this talk, Professor Imai discusses two of his own ongoing research projects that illustrate how to use scientific evidence for the evaluation of public policies. One project is about the detection of gerrymandering in legislative redistricting. This study shows how to determine whether a proposed redistricting plan is an outlier in terms of partisan or racial fairness dimensions by simulating an ensemble of  Read More

NCHU Announcement 中興大學公告 In forecasting US presidential elections, there are different scientific approaches. First, there are structural models of political scientists that offer theory-driven regression equations . However, the most popular approach involves poll watching, led by data journalists who mine vote intention surveys. . Finally, there are lesser known, but promising methods, such as citizen forecasting. In this presentation, we consider the well-known Political Economy Model, using it as a basis of comparison with The Economist Model, which relies mainly on voter intentions.  Read More

NCHU Announcement 中興大學公告 “The Political Impact of Economic Change” (with Katherine Cramer) uses data from a long-term panel study of people who graduated from high school in 1965 to examine how income mobility and escalating economic inequality have shaped Americans’ partisanship and policy preferences over the past half-century. Overall, this cohort became distinctly more conservative on a variety of economic and social issues and distinctly more Republican, especially during the period of “stagflation” from 1973 through 1982. These conservative shifts were strongly concentrated among  Read More

NCHU Announcement 中興大學公告 How can we measure voter transitions between elections? It is standard to talk only about conversion and mobilization, but demobilization–voter dropout–also matters. Unfortunately, all three measures of electoral change are customarily computed with different denominators, making it impossible to compare their relative magnitudes. In this paper, we show how to compute these quantities comparably so that they add to the total vote change. Then we apply these ideas to the 2016, “Blue Wall” states—Wisconsin, Michigan, and Pennsylvania—which voted  Read More

After losing to Donald Trump in the 2016 presidential election Hillary Clinton famously blamed ‘deplorables’ with misogynistic attitudes for her defeat. Previous research shows that voters’ attitudes towards women’s social and economic roles did indeed have a strong effect on electoral choice in 2016. Will this happen again in 2020 when neither of the major party presidential candidates are women? Data gathered in large representative national surveys conducted over the past four years are employed to help answer this question. Aggregate data on the dynamic political  Read More