EITM 2008 at DUKE
June 16 – July 11, 2008
Call for Applications: Mentoring Faculty-in-Residence
Application Deadline February 29, 2008
www.poli.duke.edu/eitm
Duke University will host the seventh annual Summer Institute on EITM:
Empirical Implications of Theoretical Models this summer, June 16th through
July 11th , 2008. Funded by the National Science Foundation (NSF), this
program seeks to leverage complementarity between formal models and
empirical methods. EITM is training a new generation of scholars to
integrate theoretical models more effectively and productively with
empirical evaluation. The Summer Institutes are highly interactive
training programs for advanced graduate students and junior faculty. They
are led by teams of scholars from across the discipline who are working at
the forefront of such empirical-theoretical integration.
An important feature of this year's program is that the efforts of our
regular Lecturing Faculty will be augmented by a team of Mentoring
Faculty-in-Residence (MFR).
Responsibilities: Each MFR will have a mentoring group, consisting of a
small number of EITM participants. We expect there will be six MFRs, each
assigned no more than five mentees. A primary responsibility of each MFR
is to work closely with his/her mentees, helping them integrate ideas and
methods from the Institute into their own projects. Secondly, MRFs will
work closely with lecturing faculty to develop a set of teaching materials
for a semester-length course reflecting EITM principles. These course
materials will be made available on-line for use by instructors throughout
the discipline. MFRs will also give presentations of their own current
research. MFRs must commit to participating in the entire four-week
Institute.
Qualifications: We expect that MFRs will be drawn from the ranks of
tenure-track or recently tenured political science faculty who use EITM
methods in their research. The most important qualification for the
Mentoring Faculty-in-Residence is experience with developing, executing and
publishing EITM research projects. Participation in past Summer Institutes
(either our rotating Institute or our sister program at Washington
University in St. Louis) is helpful but not required. Experience with
graduate teaching in formal and quantitative methods is similarly helpful,
but also not essential (although MFRs should have the appropriate
preparation for teaching in these areas.)
Applications from faculty whose home institutions do not currently offer
EITM training are particularly welcome. We hope that participating in the
Summer Institute will enable the Mentoring Faculty to develop their
teaching and mentoring expertise, expand the number of universities that
teach EITM methods, and deepen course offerings where EITM is already part
of the curriculum.
Deadline: The application deadline is February 29, 2008.
Application: Complete applications consist of the following components:
(1) Curriculum Vita with name and contact information, current location and
position, and names of two people we may contact as references if needed.
(2) Brief (1-3 page) statement of interest and purpose in applying for a
position as Mentoring Faculty-in-Residence. Please indicate any skills
and background that would be particular useful as an MFR.
(3) Brief (1-3 page) description of current research.
Application materials should be sent as PDF or MS-WORD attachments via
e-mail to [log in to unmask] Please indicate "MFR application" in the subject
line.
Financial support: Domestic travel expenses, dormitory housing and meals
are covered, along with stipend of approximately $7,725.
Child Care: We intend to offer child care for MFRs. Details will be made
available in the near future.
Notification: Application decisions will be made by March 31, 2008.
Content of the 2007 EITM Summer Institute:
EITM Summer Institutes are organized into 4 week-long modules, each with a
different substantive and methodological focus. This year's EITM program
and faculty (as so-far committed) are:
WEEK ONE (June 16-June 21): Institutions and Institutional Analysis
Lead Lecturers: John Aldrich (Duke) & Arthur Lupia (Michigan)
This unit explores Empirical Implications of Institutional Models. It
traces the origins, successful development, and potentially problematic
aspects of the New Institutionalism literature, combining lectures and
innovative class activities to understand modern studies of the causes and
consequences of institutional choices. Activities use examples of
bureaucratic performance, voter competence, Congressional organization,
election laws, separation of powers, coalition bargaining, jury
decision-making, political development, etc. The week also addresses (a)
some constructive debates on the appropriateness to political contexts of
the modern proliferation of equilibrium concepts and statistical-estimation
procedures, (b) how incomplete information affects institutional efficacy,
and (c) innovative data-collection methods. Past work teaches critical
lessons, but this week aims to improve the scientific and social value of
new research, helping to shape the new new institutionalism.
WEEK TWO (June 23 – June 27): Experimentation in the Social and
Behavioral Sciences Lead Lecturer: Wendy Wood (Duke) and a series of
Special Lecturers
This week will be composed of a series of presentations and projects about
experimentation in the social sciences. The week will begin with an
overview of experimentation and research design and will then consider the
use of experimentation in political science, social psychology,
experimental economics, and political psychology. We will take advantage
of the resources at Duke, including training in the use of software
commonly used for the design and implementation of experiments and the
running of experiments in Duke's DIISP lab, exposure to psycho-physical lab
techniques, and training in neuron-experimentation and the use of field
experiments.
WEEK THREE (June 30 - July 4): Complexity: Computational Models and Social
Networks Lead Lecturers: Scott de Marchi (Duke) & James Fowler (UCSD)
This week will provide a practical and hands-on introduction to using
computational methods, focusing on how they relate to closed-form
analytical models and empirical tests. As a way of grounding the key topics
in computational modeling, the module will cover social network theory and
the techniques used to analyze politically-relevant networks (with a
substantive focus on problems such as Congressional cosponsorships and
judicial citations). A key feature of this treatment will be to demonstrate
how one connects the analysis of social networks with specific hypotheses
and tests on observed data. Finally, the module will also provide one
additional substantive unit based on the interests of guest faculty. In
previous years, this has included computational models of elections,
international conflict, and bargaining.
WEEK FOUR (July 7 - July 11): Participant Project Workshop and
Mini-Module, TBA
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