CASOS Awards
- Jana Diesner was awarded a scholarship to attend the German
Academic International Network (GAIN).
These awards typically only go to PostDocs, and so it is highly
prestigious that Jana was awarded such a scholarship before she has even
proposed her Ph.D.. This year, GAIN will take place at the University
of California, San Francisco, in September 2009. The meeting is jointly
hosted by the Alexander von Humboldt-Foundation, the DAAD (German
Academic Exchange Service), and the DFG (German Research Foundation).
The purpose of the meeting is to connect German academics who work in
North America with funding agencies, and to provide information about
transatlantic research co-operations and return programs. The meeting
features workshops, networking events, and meetings with representatives
of various funding agencies.
- Terrill L. Frantz, a CASOS/COS PhD Candidate, has been selected to
participate in the 2009 Academy of Management (AOM) Doctoral Student
Consortium and will represent Carnegie Mellon during the event to be
held in August. The exclusive international event for PhD students is
sponsored jointly by the Organization and Management Theory (OMT)
Division and the Management and Organizational Cognition (MOC) Division
of the AOM, and is held annually as an adjunct to the AOM's annual
conference; this year's conference will be held in Chicago, IL, USA. The
two-day consortium features a variety of presentations, interactive
discussion sessions, and workshops that involve fellow PhD students and
distinguish faculty. Selection to participate in the consortium is
competitive and is limited to ensure a high faculty/student ratio.
- Terrill Frantz: The Research Methods Section of the Academy of
Management has awarded Terrill Frantz the Sage Publications/RM Division
Best Student Paper Award for his paper "Toward a
Confidence Estimate for the Most-Central-Actor Finding". The annual
award for the best student paper is part of the AOM's annual conference
to be held in August 2009. The paper is written by COS Ph.D. student
Terrill L. Frantz and Professor Kathleen M. Carley. The paper
introduces a innovative practice of providing a statistical confidence
estimate to accompany the reporting of the most-central actor according
to social network data. It describes and illustrates a practical,
non-parametric resampling approach for determining, applying and
evaluating this new confidence estimate.
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