Philippe Bonnet,
Juliana Freire,
Stratos Idreos,
Stefan Manegold,
Ioana Manolescu,
and Dennis Shasha

2020 SIGMOD Contributions Award

The SIGMOD 2020 Contributions Award recognizes the innovative work in the data management community to encourage scientific reproducibility of our publications. Reproducibility was introduced at the 2008 SIGMOD Conference and since then has influenced how the community approaches experimental evaluation. It has also influenced similar efforts within ACM. The Contributions Award recognizes this effort in the person of the colleagues who led this effort within SIGMOD (in alphabetical order): Philippe Bonnet, Juliana Freire, Stratos Idreos, Stefan Manegold, Ioana Manolescu, and Dennis Shasha.

Philippe Bonnet is professor in the Department of Computer Science at the IT University of Copenhagen, where he heads the Data-Intensive Systems and Application research group. Philippe is an experimental computer scientist with a background in database management. For twenty years, he has explored the design, implementation and evaluation of database and storage systems in the context of successive generations of computer classes, in particular wireless sensor networks, cloud computing and most recently high-performance computing. Philippe is currently a trustee of the VLDB endowment and vice-chair of the ACM EIG on reproducibility and replicability.
Stratos Idreos is an associate professor of Computer Science at Harvard University where he leads the Data Systems Laboratory. His research focuses on making it easy and even automatic to design workload and hardware conscious data structures and data systems with applications on relational, NoSQL, and broad data science and data exploration problems. Stratos was awarded the 2011 ACM SIGMOD Jim Gray Doctoral Dissertation award for his thesis on adaptive indexing and the 2015 IEEE TCDE Rising Star Award from the IEEE Technical Committee on Data Engineering for his work on adaptive data systems.
Juliana Freire is a Professor of Computer Science and Data Science at New York University. She is the elected chair of the ACM Special Interest Group on Management of Data (SIGMOD) and a council member of the Computing Research Association’s Computing Community Consortium (CCC). She was the lead investigator and executive director of the NYU Moore-Sloan Data Science Environment. Her research interests are in large-scale data analysis, curation and integration, visualization, provenance management, and web information discovery. She has made fundamental contributions to data management methods and tools that address problems introduced by emerging applications including urban analytics and computational reproducibility. Freire has published over 200 technical papers (including 8 award-winning papers), several open-source systems, and is an inventor of 12 U.S. patents. She is an ACM Fellow and a recipient of an NSF CAREER, two IBM Faculty awards, and a Google Faculty Research award. Her research has been funded by the National Science Foundation, DARPA, Department of Energy, National Institutes of Health, Sloan Foundation, Gordon and Betty Moore Foundation, W. M. Keck Foundation, Google, Amazon, AT&T Research, Microsoft Research, Yahoo! and IBM. She received M.Sc. and Ph.D. degrees in computer science from the State University of New York at Stony Brook.
Stefan Manegold is a senior researcher and group leader of the Database Architectures (DA) research group at Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in Amsterdam, The Netherlands, and a professor for Data Management at Leiden Institute of Advanced Computer Science (LIACS), Leiden University, Leiden, The Netherlands. Stefan Manegold holds a Ph.D. in Computer Science, from the University of Amsterdam (UvA), Amsterdam, The Netherlands, and a M.Sc. (Diplom) in Computer Science (Informatik) from the Technical University Clausthal, Clausthal-Zellerfeld, Germany. Stefan Manegold has won the VLDB 2009 10-year Best Paper Award (with co-authors Peter Boncz and Martin Kersten) as well as the VLDB 2011 Challenges & Visions Track Best Paper Award (with co-authors Martin Kersten, Stratos Idreos and Erietta Liarou). Stefan Manegold is a core member of the MonetDB developers team, co-founder of MonetDB B.V., and co-founder and steering committee member of the Data Management on Modern Hardware (DaMoN) workshop series (co-located with ACM SIGMOD since 2005).
Ioana Manolescu is a senior researcher at Inria and a part-time professor at Ecole Polytechnique, France. She is the lead of the CEDAR team, focusing on rich data analytics at cloud scale. She is a member of the PVLDB Endowment Board of Trustees, and has been recently an Associate Editor for PVLDB, a president of the ACM SIGMOD PhD Award Committee, and a chair of the IEEE ICDE conference; she has been the first ACM SIGMOD Reproducibility Chair in 2008, and a co-chair in 2009 and 2010. She has co-authored more than 150 articles in international journals and conferences, and co-authored books on “Web Data Management”  and “Cloud-based RDF Data Management”. Her main research interests algebraic and storage optimizations for semistructured data and in particular data models for the Semantic Web, heterogeneous data integration for data journalism, data models and algorithms for fact-checking, and distributed architectures for complex large data.
Dennis Shasha is a Julius Silver Professor of computer science at the Courant Institute of New York University and an Associate Director of NYU Wireless. He works on meta algorithms for machine learning to achieve guaranteed correctness rates, with biologists on pattern discovery for network inference; with computational chemists on algorithms for protein design; with physicists and financial people on algorithms for time series; on clocked computation for DNA computing; and on computational reproducibility. Other areas of interest include database tuning as well as tree and graph matching. Because he likes to type, he has written six books of puzzles about a mathematical detective named Dr. Ecco, a biography about great computer scientists, and a book about the future of computing. He has also written five technical books about database tuning, biological pattern recognition, time series, DNA computing, resampling statistics, and causal inference in molecular networks. He has co-authored over 85 journal papers, 80 conference papers, and 25 patents. He has written the puzzle column for various publications including Scientific American, Dr. Dobb’s Journal, and currently the Communications of the ACM. He is a fellow of the ACM and an INRIA International Chair.