January 25, 2014 | San Diego, CA, United States
(Co-located with POPL 2014, January 22–24, 2014)
- Talk proposals
San Diego, CaliforniaWe're very pleased to announce the Data-Centric Programming Workshop 2014 (DCP2014), an exciting workshop that builds on the success of the Data-Driven Functional Programming (DDFP) workshop at POPL 2013. This workshop is for anyone who loves the application of functional programming (and indeed other programming paradigms as well) to data-rich domains. Please consider submitting to the workshop—whatever your type of data and/or data-centric programming. We want this to be a great event that opens up opportunities at the intersection of data and programming.
Functional programming techniques are increasingly important in data-centric programming. Languages like Haskell, Scala, and C# draw heavily on a range of functional techniques and find application in numerous data-driven domains; paradigms like map/reduce and its extensions lie at the core of modern scalable data processing; and "information-rich" languages like Ur, F#, and Gosu use meta-programming to integrate type-safe queries, web-based APIs, and scalable data sources—along with associated semantically-rich metadata—into the programming language. In principle, the expressiveness, strong typing, and core functional paradigm of these languages make them an ideal choice for expressing robust and scalable data-centric programming.
On the other end, the web of data is growing at an enormous pace, with few dedicated software applications capable of dealing efficiently in information-rich spaces. Reasons for that include one (or more) of the following research issues: lack of integrated development environments (IDEs, such as Microsoft Visual Studio and Eclipse), poor programming language support, lack of standard testbeds and/or benchmarks, inadequate training, and perhaps the need for curriculum revision. Properly addressing these issues requires interdisciplinary skills, and the collaboration between academia and industry.
Many challenges remain.
This workshop invites submissions that explore the gap between today's data management challenges, particularly the ones related to dealing with large amounts of semantically rich data, and the lack of adequate tools. We are looking for contributions that discuss, promote, and further advance the programming of semantically-rich data, including the development of new languages, extension of existing ones, and the inclusion of semantic-enabled capabilities into existing IDEs.
By devising methods for handling data from the programming level, we can promote the research and development of better data-centric programming technologies as a whole, as well as facilitate the shift towards both principled and effective data-centric computing.
- Jeremy Gibbons, University of Oxford, United Kingdom
- Evelyne Viegas, Microsoft Research, United States
- Soren Auer, University of Bonn, Germany
- Nate Foster, Cornell University, United States
- Juliana Freire, Polytechnic Institute of New York University, United States
- Erik Meijer, Applied Duality, United States
- Steffen Staab, University of Koblenz, Germany
- Don Syme, Microsoft Research Cambridge, United Kingdom
- Hadley Wickham, Rice University, United States
- Talk proposal submissions due: Nov. 22, 2013
- Author notification: Dec. 4, 2013
- Revised talk proposal due: Jan. 8, 2014
- Workshop: Jan. 25, 2014
If you have questions, please send email to firstname.lastname@example.org.