Date: Friday, November 16, 2012
Speaker: Edoardo Airoldi, Assistant Professor of Statistics, Harvard University
Location: Maxwell-Dworkin G125, 33 Oxford Street, Cambridge, MA 02138
Time: Informal lunch with speaker, 12:30pm. Talk, 1:00pm.
Title: Design and Analysis of Experiments that Leverage Social Structure and
Interactions
Abstract: A number of scientific endeavors of current national and international interest
involve populations with interacting and/or interfering units. In these problems, a
collection of partial measurements about patterns of interaction and interference (e.g.,
social structure and familial relations) is available, in addition to more traditional
measurements about unit-level outcomes and covariates. Formal statistical models for the
analysis of this type of data have emerged as a major topic of interest in diverse areas
of study. In this talk, I will review a few ideas and open areas of research that are
central to this burgeoning literature, placing emphasis on inference and other core
statistical issues. Then I will turn to describing a technical notion of non-ignorability
that applies to sampling designs that leverage social structure, an inference strategy
that can be used to obtain valid estimates in these settings, and a randomization-based
approach to estimating the causal effect of peer influence, with hints to applications to
advertising on social media platforms, politics and healthcare in which these statistical
problems arise.
Bio: Edoardo Airoldi received his Ph.D. from Carnegie Mellon in 2006. His dissertation
introduced statistical and computational elements of graph theory that support data
analysis of complex systems and their evolution. Airoldi's research interests
encompass statistical methodology and theory with application to molecular biology and
integrative genomics, computational social science, and statistical analysis of large
biological and information networks. Specific areas of technical interest include
probabilistic algorithms, approximation theorems, convex and combinatorial optimization,
and geometry.
For information about the future events at IACS, see
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Also of interest to the IACS community:
Harvard Department of Physics Condensed Matter Physics Seminar
Thursday, Nov. 8, 1 pm
Lyman 425
Sauro Succi
Instituto Applicazioni Calcolo, Rome Italy
Lattice Boltzmann simulation of complex flows across scales: from fluid turbulence to
biopolymer translocation
Abstract:
The Lattice Boltzmann (LB) equation is a minimal form of Boltzmann kinetic equation, which
is meant to describe the dynamic behaviour of fluid flows without directly solving the
equations of continuum fluid mechanics. Instead, macroscopic fluid behavior is analyzed as
it emerges from the underlying dynamics of a representative ensemble of particles, whose
dynamics is confined to a regular phase-space-time lattice, with sufficient symmetry to
recover the correct macroscopic hydrodynamic equations. Initially intended as an
alternative to discretization of the Navier-Stokes equations of continuum fluid mechanics,
in the last decade the LB equation has made proof of an amazing versatility, straddling
across a broad range of scales of fluid motion, from fully developed turbulence, all the
way down to nanoscopic flows of biological interest, and even quantum fluids. In this
Seminar, we shall discuss the basic notions behind the LB theory, and present selected
applications from current research in the field, such as the modeling of fluid turbulence,
the rheology of soft-glassy materials and biopolymer translocation across nanopores.
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