Call for Papers
Nov 5 – 7, Massachusetts Institute of Technology, Cambridge, MA
Submission Deadline: August 18, 2014 (firstname.lastname@example.org)
Invitations/Acceptance: September 15, 2014
Registration & Camera Ready: October 15, 2014
Conference Dates: Nov 5 -7, 2014
Location: MIT, Cambridge, MA.
http://dydess.mit.edu/submission Submission: Submit by sending pdf paper to email@example.com minimally as an extended abstract (6 LNCS pages or more) and maximally as a short paper (12 LNCS pages or less) including figures and references in the English language. All papers must contain the email address of the corresponding author. Papers must be in the LNCS format. Download the guidelines
ftp://ftp.springer.de/pub/tex/latex/llncs/word/splnproc1110.zip (Latex is preferred for typesetting).
Papers will be peer reviewed and acceptance based on the overall quality of results and novelty of approach and not necessarily on length. Papers selected for oral or poster presentation must also be presented at the conference for inclusion in the proceedings.
Motivation: Addressing the challenges in environmental sustainability requires an effective integration of sensing, observation and inference with physical, chemical, biological and social models. The necessary integration of data and science is multifaceted and symbiotic with applications from model-based sensing to data-driven modeling. While the attendant issues of predictability, uncertainty and risk reduction are of great interest in multiple areas of science, engineering and mathematics, a rigorous forum to present collective advances has been missing.
Vision: The Dynamic Data-driven Environmental Systems Science (DyDESS) Conference is envisioned as a premier conference coalescing the sciences with computation, systems science, and machine intelligence. It provides a forum for scientists and engineers in the emerging environmental systems research issues, an opportunity for Young researchers to meet leading scientists, and brings together those interested in the Dynamic Data-Driven Application Systems framework for environmental applications. It provides an interdisciplinary forum to help methodology meet application, and to showcase results and new, promising methodologies.
Scope: DyDESS invites original papers in the effective coupling of data and models for environmental applications, particularly research that integrates both methodology and experiments, suggests new promising methodology, or demonstrates successful application. DyDESS is a single-track conference that includes keynote, oral and poster sessions, and awards for outstanding papers.
DyDESS invites papers in the following areas:
(a) Sensing, imaging and retrieval for the oceans, atmosphere, space and land that is informed by the environmental context.
(b) Algorithms for modeling and simulation, downscaling, model reduction, data assimilation, uncertainty quantification and statistical learning. Methods that tackle nonlinear and high-dimensional problems are of particular interest.
(c) Methodologies for planning and control, sampling and adaptive observation, and efficient coupling of these algorithms into information-gathering and observing system designs.
(d) Applications of methodology to environmental estimation, analysis and prediction including climate, natural hazards, oceans, cryosphere, earth, atmosphere, land and space.
* John Marshall <http://oceans.mit.edu/JohnMarshall/> , Cecil and Ida Green Professor of Oceanography, Massachusetts Institute of Technology
* Jonathan How <http://www.mit.edu/people/jhow/> , Richard Cockburn Maclaurinhttp://libraries.mit.edu/archives/mithistory/biographies/maclaurin.html Professor of Aeronautics and Astronautics, Massachusetts Institute of Technology
* Dennis Bernstein http://www.engin.umich.edu/aero/people/faculty/dennis-bernstein, University of Michigan (Aerospace Engineering)
* Sai Ravela http://web.mit.edu/ravela/web/index.htm , Massachusetts Institute of Technology (Earth, Atmospheric and Planetary Sciences)
* Adrian Sandu http://www.cs.vt.edu/user/sandu, Virginia Tech (Computer Science)
* Mark Berliner http://www.stat.osu.edu/people/faculty/mark-berliner, Ohio State
* Jesse Belden, Naval Undersea Warfare Center
* William Blackwell, MIT Lincoln Laboratory http://www.ll.mit.edu/
* Han-Lim Choi http://web.mit.edu/hanlimc/www/, Korea Advanced Institute of Science and Technology (Aerospace Engineering)
* Frederica Darema
http://www.af.mil/AboutUs/Biographies/Display/tabid/225/Article/108635/dr-frederica-darema.aspx, Air Force Office of Scientific Research
* Dacian Daescu http://www.pdx.edu/math/dacian-daescu, Portland State University
* Dara Entekhabi https://civil.mit.edu/entekhabi, Massachusetts Institute of Technology (Civil and Environmental Engineering)
* Patrick Heimbach http://eaps-www.mit.edu/paoc/people/patrick-heimbach, Massachusetts Institute of Technology (Earth, Atmospheric and Planetary Sciences)
* Pierre Lermusiaux http://web.mit.edu/pierrel/www/ , Massachusetts Institute of Technology (Mechanical Engineering)
* John Leonard http://meche.mit.edu/people/?id=52, Massachusetts Institute of Technology (CSAIL and Mechanical Engineering)
* Linsey Marr http://www.cee.vt.edu/people/lmarr.html, Virginia Tech (Civil and Environmental Engineering)
* Abani Patra http://www.mae.buffalo.edu/people/full_time/a_patra.php, University at Buffalo (Mechanical and Aerospace)
* Antonio Possolo http://www.nist.gov/itl/sed/possolo.cfm, National Institute of Standards and Technology
* Hanu Singh http://www.whoi.edu/page.do?pid=23556&tid=241&id=hsingh, Woods Hole Oceanographic Institute
* Kurt Sternlof
* Jen Sell http://eaps-www.mit.edu/people/jsell