On behalf of the SIGMOD 2013 Awards Committee, composed of Rakesh Agrawal, Elisa Bertino, Umeshwar Dayal, Maurizio Lenzerini, and myself, I am pleased to announce the winners of the following SIGMOD 2013 Awards:

SIGMOD Edgar F. Codd Innovations Award 
for innovative and highly significant contributions of enduring value to the development, understanding, or use of database systems and databases.

Professor Stefano Ceri is the recipient of the 2013 SIGMOD Edgar F. Codd
Innovation Award for a series of influential contributions to several
areas of database management, including distributed databases,
rule-based systems, web-based application design, and search computing.

Details: Stefano Ceri is recognized for the numerous innovations he has
made over three decades. In his early work on distributed databases, he
defined the theoretical principles of data fragmentation, including
transparency levels, and showed how fragmented databases can be
efficiently designed and queried. He is perhaps best known for his work
on rule-based systems, both deductive and active. Of special note is his
work on mapping integrity constraints and logical rules into active
rules, and the creation of methods and tools for rule analysis and
verification; his work won both the Best Paper Award for the 1991 VLDB
Conference as well as the VLDB Test of Time Award at VLDB 2000. About
ten years ago, Stefano Ceri focused on web application design creating
WebML, a widely adopted conceptual model for data-intensive web
applications, which is embedded in the commercial product WebRatio and
recently inspired the new OMG standard IFML. In 2008, he received an ERC
Advanced Grant on Search Computing; the project focuses on providing the
abstractions, foundations, methods, and tools required to answer complex
search queries.
Very recently, Stefano Ceri has turned his interests to crowd searching,
as a follow-up project of search computing, and to genomic computing,
the new frontier of biological research and personalized medicine opened
up by next generation DNA sequencing.

SIGMOD Contributions Award
for outstanding and sustained services to and promotion of the database field through activities such as education, conference organization, journals, standards, and research funding.

Professor H.V.Jagadish is the recipient of the 2012 SIGMOD Contribution Award for his many contributions to database research, including the conception and shepherding of PVLDB.

Details: H. V. Jagadish has an extensive record of service to the database
community over the past 25 years in a broad range of roles, including 
conference organization, journal editorship, and society leadership.
He has spearheaded the development of the PVLDB model, a conference-journal
hybrid designed to address some of the stresses on our current conference
reviewing system.  Many authors, and particularly younger and less-experienced
authors, have greatly appreciated the opportunity to revise conference paper
submissions.  The VLDB conference has benefited from this effort, improving
quality and increasing number of submissions. The adoption of a new reviewing
and publication model has required tremendous effort and political skill, for
which Jagadish should be recognized. Many other CS sub-disciplines are now 
looking to replicate a similar model.
 Jagadish has also led multiple efforts to expand the domain of database 
research over the years, through workshops, reports, and published articles.
In particular, he has played a leading role in data management for the life 
sciences and for financial systems.  More recently, he orchestrated the writing
of a white paper on the challenges and opportunities in big data, aimed at NSF
and other funding agencies, with a view to making clear the need for database
research in addressing big data problems.
 Jagadish is a team-builder with strong mentoring skills, and has had an 
important influence on the careers of many researchers. He has also served
the broader computing community, including as a member of the CRA Board since 2009.

SIGMOD Test-of-Time Award
for the paper from the 2003 SIGMOD Conference that has had the most impact (research, products, methodology) over the intervening decade.

``The Design of an Acquisitional Query Processor for Sensor Networksff
by  Prof. Samuel Madden, Prof. Michael J. Franklin, Prof. Joseph M. Hellerstein and Dr. Wei Hong

Details: This paper from the SIGMOD 2003 Conference presents a novel technique
for acquisitional query processing (ACQP) in wireless sensor networks
(WSNs), and its design and implementation in the TinyDB system. TinyDB
runs on top of TinyOS, which has been developed by the University of
California, Berkeley and now is one of the most popular embedded
operating systems for WSNs. ACQP was a pioneering framework, which first
addressed the issue of "When should samples for a particular query be
taken?" and it has other significant features for data collection in
WSNs such as low power consumption and low computational overhead, as
evidenced by the huge number of citations and downloads. This paper has
been highly influential in subsequent research on data collection and
query processing frameworks in WSNs. Moreover, through its wide
availability as TinyOS components (which are easily installed onto
motes), it has been embedded in various commercial products and real
sensor systems. In summary, this paper has had strong impact on both
academic research and industry.

Original abstract:   We discuss the design of an acquisitional query
processor for data collection in sensor networks. Acquisitional issues 
are those that pertain to where, when, and how often data is physically 
acquired (sampled) and delivered to query processing operators. By focusing
on the locations and costs of acquiring data, we are able to significantly 
reduce power consumption over traditional passive systems that assume the 
a priori existence of data. We discuss simple extensions to SQL for 
controlling data acquisition, and show how acquisitional issues influence 
query optimization, dissemination, and execution. We evaluate these issues
in the context of TinyDB, a distributed query processor for smart sensor
devices, and show how acquisitional techniques can provide significant 
reductions in power consumption on our sensor devices.

The awards will be presented at the Plenary SIGMOD Business Meeting and Awards Talks session, scheduled at 1:15pm on Wednesday, June 26, 2012, right after lunch (http://www.sigmod.org/2013/schedglance.pdf).

Masaru Kitsuregawa
Chair, SIGMOD 2013 Awards Committee