Data, models, data-driven models, and their use in decision-making

June 22 – 25, 2020
Stanford University

Computational Methods in Water Resources (CMWR) is a series of biannual conferences which, since 1976, alternate between locations in North America and Europe. CMWR is dedicated to nurturing and promotion of cutting-edge interdisciplinary research on quantitative forecasting of hydrological processes, with a special emphasis on mathematical, computational, and statistical methods.

Panel 1

Program

Computational Methods in Water Resources (CMWR) is a series of biannual conferences which, since 1976, alternate between locations in North America and Europe. CMWR is dedicated to nurturing and promotion of cutting-edge interdisciplinary research on quantitative forecasting of hydrological processes, with a special emphasis on mathematical, computational, and statistical methods.

The XXIII edition of CMWR builds upon this long tradition of scientific excellence by providing a venue for dissemination of recent advances in quantitative modeling of hydrologic processes, numerical methods, high-performance computing, multi-scale and multi-physics simulations, inverse modeling, data-driven and data-centric methodologies, uncertainty quantification, etc. Such an interdisciplinary framework is necessary to  provide fundamental advances in our ability to forecast the collective behavior physical, chemical, and biological processes affecting water resources in the  rapidly changing world.

CMWR 2020 solicits contributions, in the form of oral presentations or posters, in the following broad areas.

  • Reactive transport modelling
  • Data-centric simulations and modeling
  • Computational methods for surface hydrology and ecohydrology
  • Multiphysics simulations
  • Computational methods for multiphase flows in porous media
  • Multiscale simulations and modeling
  • Computational models of fractured systems
  • Software and high-performance computing
  • Decision Support for Water Resource Management

The conference will take place at Stanford University. Located on the West Coast of the USA, in the heart of Silicon Valley, Stanford provides an ideal location to explore ways in which water resources and other environmental problems can benefit from the recent advances in data science, scientific computing, mathematical modeling, and their integration.

For more information:
Keynote Speakers
Schedule & Full Program
Scientific Sessions
Tours & Events
Committees

Panel 2

Registration & Abstract

All participants must be registered and are urged to register in advance. If the maximum attendee capacity is reached, the conference organizers reserve the right to refuse any registration. Note: Travel and hotel accommodation costs are not included and are the responsibility of each conference participant.

Registration Fees

Early Registration$675 USDUntil March 31, 2020
11:59PM PST
Early Registration
Full-Time Student
$450 USD
Until March 31, 2020
11:59PM PST
Regular Registration$800 USDStarting April 1, 2020
Regular Registration
Full-Time Student
$500 USDStarting April 1, 2020
On-site Registration$900 USD
On-site Registration
Full-Time Student
$675 USD
Additional accompanying
person for social event
$95 USD


The registration fees includes:

  • All the conference sessions
  • Conference kit including the official conference material
  • Breaks & Lunches from Monday, June 22 to Thursday, June 25
  • Social events: TBA

abstract information

Authors:
For each article accepted at CMWR 2020, it is required to have at least one of the authors registered at the conference, with the commitment to present it at the conference. Abstract without registered author(s) will be withdrawn from the program and the book of abstracts. The deadline for author registration is April 27, 2020.

Panel 3

Conference Location

Located 35 miles south of San Francisco and 20 miles north of San Jose, Stanford University is in the heart of Northern California’s dynamic “Silicon Valley,” home to Yahoo!, Google, Hewlett-Packard, and many other cutting-edge companies that were started by and continue to be led by Stanford alumni and faculty.

For more information about Stanford University, tours and other campus activities, please visit Stanford’s Visitor Information site.

Destination Palo Alto provides extensive information about the immediate area close to Stanford, including local restaurants and other tourist attractions.

San Francisco Travel offers a variety of things to do in the City and beyond.

To the south, San Jose has more local and popular attractions.

Panel 4

Contact

For any questions or concerns, please fill out the contact form below.