48 AI MAGAZINE
Tabary, P.; Scialom, G.; and Germann, U. 2001. Real-Time
Retrieval of the Wind from Aliased Velocities Measured by
Doppler Radars. Journal of Atmospheric and Oceanic Technol-
ogy 18( 6)(June): 875–882. dx.doi.org/10.1175/1520-
0426(2001)018<0875:RTROTW> 2.0.CO; 2
Tøttrup, A. P.; Thorup, K.; and Rahbek, C. 2006. Patterns of
Change in Timing of Spring Migration in North European
Songbird Populations. Journal of Avian Biology 37: 84-92.
Veltri, C., and Klem, D. 2005. Comparison of Fatal Bird
Injuries from Collisions with Towers and Windows. Journal
of Field Ornithology 76( 2): 127–133.
Andrew Farnsworth is a research associate in information
science at the Cornell Lab of Ornithology. His primary
research interest is in understanding the behavioral ecolo-
gy of migration by using radar ornithology and acoustic
monitoring to study nocturnal migrants. He began birding
at age 5, and quickly developed an interest in bird migra-
Daniel Sheldon is a professor in the Department of Computer Science at the University of Massachusetts, Amherst.
His research focus is to develop algorithms to understand
and make decisions about the environment using large data
sets. He seeks to answer foundational questions (what are
the general models and principles that underlie big data
problems in ecology?) and also to build applications that
transform large-scale data resources into scientific knowledge and policy.
Jeffrey Geevarghese is a master’s student interested in
machine learning and its applications. He is currently a
research assistant with the Department of Computer Science, University of Massachusetts, Amherst. He has con-tributed to BirdCast by developing a data set that summarizes bird migration information from weather radar
data. He will extend this work to develop robust systems for
automated analysis of weather radar data for studying bird
Jed Irvine is a faculty research assistant at Oregon State
University providing software development support to Tom
Dietterich’s machine-learning group. His primary contribution to the BirdCast project has been the development of a
web application to facilitate the rapid labeling of large
quantities of radar images as being acceptable or not for the
BirdCast data pipeline. Irvine’s interest in bird migration
stems from the many days spent hawk watching with his
dad when growing up on the East Coast.
Benjamin Van Doren is a sophomore at Cornell University, studying ecology and evolutionary biology. He is fascinated by bird migration and enjoys using computers to
shed light on biological questions. His research into the
phenomenon of morning flight was recognized last year
when he won fifth place in the national Intel Science Talent Search in Washington, D.C.
Kevin Webb is a software engineer in the Information Science Program at the Cornell Lab of Ornithology. His technical areas of interest are geospatial programming, high
performance and parallel computing, data modeling, and
database-centered application development. His primary
objective is the application of software engineering to facilitate discovery in conservation and biological sciences.
Thomas G. Dietterich is a professor in and the director of
Intelligent Systems Research at Oregon State University. He
leads the development and application of advanced
machine-learning algorithms to model bird migration. He
is also president-elect of the Association for the Advancement of Artificial Intelligence.
Steve Kelling is the director of Information Science at the
Cornell Lab of Ornithology. He leads a team of ornithologists, computer scientists, statisticians, application developers, and data managers to develop programs, tools, and
analyses to gather, understand, and disseminate information on birds and the environments they inhabit.
Download the AI Magazine App!
If you haven’t already logged into the new AAAI member website,
please take a moment to update your profile now! You can now
renew your membership in AAAI and update your contact information directly via this site ( aaai.memberclicks.net). In addition,
you will be automatically connected with other members of the
largest worldwide AI community via the AAAI online directory and
other social media features. Direct links are available for new AI
Magazine features, including the online version. Finally, you will
receive announcements about all AAAI upcoming events, publications, and other exciting initiatives. Be sure to spread the word to
your colleagues about this unique opportunity to tap into the premier AI society!
;e AI Magazine App is now available via the App stores at
i Tunes, Amazon and Google. AAAI members will be asked to provide their MemberClicks username and password one time in order
to download the app. Enjoy the convenience of AI Magazine at