Other Interesting Events
Virtual Bulleting Board
Here you will find special QTM events as well as other interesting happenings in and around campus that are academically relevant to our students.
Special Lecture - September 21, 2016
Zongwu Cai from the University of Kansas
Location: TBD Time: 4:00 - 5:00 pm
Special Lecture - November 1, 2016
Jeremy Fox from Rice University
Location: TBD Time: 12:00 - 1:30 pm
Special Lecturer - Daniel Hruschka
Do human fertility declines result from stopping or slowing? A novel mixture model for estimating two pathways to the fertility transition.
Abstract. Large drops in human fertility in recent centuries have attracted considerable attention from a wide range of social scientists. A key assumption of traditional demographic theory has been that such transitions rely on a new kind of decision-making focused on stopping at a specific number of offspring. However, emerging case studies have challenged this view, showing that women can also reduce fertility without specific numeric targets. To assess the relative importance of these two paths to the human fertility transition, I describe a novel mixture model that estimates: (1) the proportion of women in a sample who engaged in parity-specific stopping and (2) the lifetime rate of reproduction among the complementary set of women not engaged in parity-specific stopping. Consistent with demographic assumptions, data from 1 million women across 72 low- and middle-income countries suggest that the proportion of women engaged in parity-specific stopping increases with declining parity. However, slowing among women who do not engage in parity-specific stopping accounts for most of the fertility decline in these samples, suggesting that stopping at an ideal family size is less important than slowing in many fertility transitions around the world.
Special Lecturer - Alan Wiseman
Dr. Alan Wiseman of Vanderbilt University
Friday June 12, 2015
Legislative Effectiveness in the United States Congress
Starting with the premise that some members of Congress are more effective as lawmakers than are others, we develop Legislative Effectiveness Scores for each member of the U.S. House from the early 1970s through the present. We explore how this measure, and the study of effective lawmaking more generally, sheds new light on the most important topics of legislative politics, including: how parties influence legislative policymaking, the strategies that women and African Americans adopt in Congress to promote their policy goals, and how entrepreneurial lawmakers can develop issue expertise to overcome party polarization and policy gridlock. We also focus attention on the twenty most effective representatives of the past 40 years, and identify a collection of strategies and habits that legislators can use to become effective lawmakers.
Decision Sciences & Big Data Analytics
Krishna Rupanagunta of Mu Sigma Inc.
Wednesday April 8, 2015
Is ‘Big Data’ a Cause or an Effect? Filtering Signals from Noise
The speed and complexity of business problems are accelerating like never before. We believe the companies that will succeed in a world of increasing change are the ones who are able to benefit from this change. Decision Sciences and Big Data Analytics provide a powerful opportunity for companies to turn the complexity of their business environments to their advantage. This lecture will discuss how companies are adopting a new ‘Art of Problem Solving’ – and what you can expect from this vastly growing arena.
This event was co-sponsored by IQTM and the Emory Data Analytics Club