Krista Gile
Krista J. Gile's research focuses on developing statistical methodology for social and behavioral science research, particularly related to making inference from partially-observed social network structures. Most of her current work is focused on understanding the strengths and limitations of data sampled with link-tracing designs such as snowball sampling, contact tracing, and respondent-driven sampling. Dr. Gile's work has appeared in the Annals of Applied Statistics, Social Networks, and Research in Human Development
Andrew Gelman
Andrew Gelman is a professor of statistics and political science and director of the Applied Statistics Center at Columbia University. He has received the Outstanding Statistical Application award from the American Statistical Association, the award for best article published in the American Political Science Review, and the Council of Presidents of Statistical Societies award for outstanding contributions by a person under the age of 40.
His books include Bayesian Data Analysis (with John Carlin, Hal Stern, and Don Rubin), Teaching Statistics: A Bag of Tricks (with Deb Nolan), Data Analysis Using Regression and Multilevel/Hierarchical Models (with Jennifer Hill), and, most recently, Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do (with David Park, Boris Shor, Joe Bafumi, and Jeronimo Cortina).
Andrew has done research on a wide range of topics, including: why it is rational to vote; why campaign polls are so variable when elections are so predictable; why redistricting is good for democracy; reversals of death sentences; police stops in New York City, the statistical challenges of estimating small effects; the probability that your vote will be decisive; seats and votes in Congress; social network structure; arsenic in Bangladesh; radon in your basement; toxicology; medical imaging; and methods in surveys, experimental design, statistical inference, computation, and graphics.
Raymond Duch
Raymond Duch is the University of Oxford Professor in Quantitative Political Science and a Professorial Fellow at Nuffield College. He received his BA( Honours) from the University of Manitoba in Canada and his MA and PhD from the University of Rochester.
His major teaching and research interests are in the areas of quantitative methods, comparative political economy, public opinion research, and democratization. His articles have appeared in leading international scientific journals.
In the field of democratization and transitions to market economies, Professor Duch has contributed extensively to our understanding of how, and whether, individuals adapt to the novel political and economic decision making challenges that result from these institutional changes.
His recent articles exploring these themes include, "It's Not Whether You Win or Lose, but How You Play the Game: Self-Interest, Social Justice, and Mass Attitudes toward Market Transition."
(American Political Science Review 2004) and "Strategic Voting in Post-communist Democracy"
(British Journal of Political Science 2002). Professor Duch is widely recognized for this work on how the economy affects political behavior in democratic countries. These include "Heterogeneity in Perceptions of National Economic Conditions" American Journal of Political Science (December 2000); "A Developmental Model of Heterogeneous Economic Voting in New Democracies" American Political Science Review(2001)." Professor Duch is the also the co-author of Voting in Context: How Political and Economic Institutions Condition the Economic Vote (Cambridge University Press).
At Oxford, Professor Duch is on the executive committee of the Centre for Research Methods in the Social Sciences (ReMiSS) and on the executive committee of ESRC Oxford Spring School in Quantitative Methods for Social Research.
Carlos Barahona
Carlos Barahona came into statistics looking for tools to help in the solution of real problems in research and development - with a particular interest in agriculture, natural resources and rural issues. A strong believer in the benefits of team work, Carlos over the last ten years has worked on a variety of projects including:
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Development of training programmes in statistics for researchers in agriculture, animal production and forestry
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Strategies for developing biometric capabilities in research institutes within the context of institutional reform
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Advice to research projects on design of experiments and surveys and their analysis
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Monitoring and evaluation of development projects
Carlos also has field experience of participatory work. He has found a niche within development projects working on optimal ways of combining statistical methods with the innovation that participative tools have brought into research. In particular, he is interested in research processes led by low income farmers in highly variable, risk-prone environments. In addition, Carlos has undertaken Participatory Monitoring and Evaluation assignments for the World Bank in Honduras and the Department for International Development of the UK in Malawi.