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Matthew Denny

Curriculum Vitae

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Education:

  1. M.Sc. Resource Economics, UMass Amherst, 2013 (Applied Econometrics)
  2. M.A. Political Science, UMass Amherst, 2015
  3. M.A. Political Science, Penn State, 2017

Biography:

I am a Ph.D. candidate in Political Science and Social Data Analytics at Penn State and an NSF Big Data Social Science IGERT fellow. I am advised by Bruce Desmarais. My research and teaching interests primarily center on statistical methods for analyzing text and network data, with applications to the study of American political institutions and a particular focus on Congress and the bureaucracy. From 2013--2015, I was  a statistical methods consultant for the Institute for Social Science Research at UMass Amherst, while completing Master's degrees in Applied Econometrics and Political Science.

Dissertation:

My dissertation project, The Role of Bureaucratic Discretion in Congressional Politics, examines the provision of bureaucratic discretion as a policy tool in Congress. I begin by deriving theoretical expectations regarding how partisanship shapes the use of statutory constraint and delegation of authority to the bureaucracy. I then test these expectations by developing new methods for analyzing legislative texts.

Research Interests:

Political Methodology, Congress, Bureaucracy, Text As Data, Networks, Machine Learning
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