Form:Annualmeeting

CSDMS annual meeting
Modeling Coupled Earth and Human Systems - The Dynamic Duo

May 23 -25^th 2017, Boulder Colorado, USA

Optional: May 22^nd 2017, pre-conference bootcamp
Optional: May 26^th 2017, post-conference hackathon

Registration

Registration opens mid January. The online conference registration is a three step process:

Step 1: Log in	Log in (or create account for non-CSDMS members) Forgot username? Search or email:CSDMSweb@colorado.edu
Step 2: Register Abstract submission	Start registration
Step 3: Academia or Government, early registration: $200 (After April 1st $300) Industry, early registration: $1,500 (After April 1st $1,600) Add $30 per joining pre or post conference events Third party website

You only are successfully registered by fulfilling the above steps
Do you want to make changes to your abstract? If so:

1. Log in.
2. Select your registration record in "participants" and start make changes.
   
   

Objectives and general description

The CSDMS 2017 annual meeting will focus on “Modeling Coupled Earth and Human Systems”. Topics of interests also include modeling research that integrates different disciplines, different scales, and the synergy between models and Human Systems. As in past meetings, keynote speakers are by invitation only, and poster presentations are the general media. The meeting will include:

1. State-of-the art keynote presentations in earth-surface dynamics and modeling coupled earth and human systems
2. Hands-on clinics related to community models, tools and approaches
3. Transformative software products and approaches designed to be accessible, easy to use, and relevant
4. Breakout sessions for Working, Focus Research Groups and the Initiatives
5. Poster Sessions

and more!

Poster Information: The poster boards are configured for 4' wide by 6' tall (portrait orientation) posters. The deadline to submit abstracts is April 1, 2017.

Agenda

Click here to view the draft agenda of 00/00/2017.

Keynote Speakers

As of now:

Kim de Mutsert GMU, Department of Environmental Science and Policy

Modeling a coastal environment with human elements

If one system comes to (my) mind where the human element is intertwined with the environment, it is the Louisiana coastal area in the Southern United States. Often referred to as the working coast, coastal Louisiana supports large industries with its ports, navigation channels, oil, and productive fisheries. In addition to that, Louisianians have a significant cultural connection to the coastal wetlands and their natural resources. Unfortunately, the land is disappearing into the sea with coastal erosion rates higher than anywhere else in the US. Due to these high rates of land loss, this system needs rigorous protection and restoration. While the restoration plans are mostly focused on building land, the effects on, for example, fisheries of proposed strategies should be estimated as well before decisions can be made on how to move forward. Through several projects I have been involved in, from small modeling projects to bold coastal design programs, I present how coupled models play a key role in science-based coastal management that considers the natural processes as well as the human element.

Scott Hagen LSU, Department of Civil & Environmental Engineering

Pathways at the coastal land margin to assess climate change impacts with transdisciplinary research outcomes

Our extensive transdisciplinary efforts since 2010 in the northern Gulf of Mexico (Mississippi, Alabama, and the Florida panhandle) have resulted in an advanced capability to model and assess hydrodynamic and ecological impacts of climate change at the coastal land margin (visit http://agupubs.onlinelibrary.wiley.com/hub/issue/10.1002/(ISSN)2328-4277.GULFSEARISE1/). The concerted efforts of natural and social scientists as well as engineers have contributed to a paradigm shift that goes well beyond “bathtub” approaches. Potential deleterious effects to barrier islands, shorelines, dunes, marshes, etc., are now better understood. This is because the methodology enables assessment of not just eustatic sea level rise (SLR), but gets to the basis of projections of climate change and the associated impacts, i.e., carbon emission scenarios. The paradigm shift, input from coastal resource managers, and future expected conditions now provides a rationale to evaluate and quantify the ability of natural and nature-based feature (NNBF) approaches to mitigate the present and future effects of surge and nuisance flooding. Over the majority of the 20th century, the largely linear rate of eustatic SLR was realized by thermal expansion of seawater as a function of a gradual increase in the average annual global temperature. Global satellite altimetry indicates that the rate of global mean SLR has accelerated from approximately 1.6 to 3.4 mm/year. While the year-by-year acceleration of the rate of rise cannot be measured adequately, it is reasonable to assume that it was relatively stable throughout the 20th century. For the 21st century, general circulation models project that posed atmospheric carbon emission scenarios will result in higher global average temperatures. A warmer global system will introduce new mechanisms (e.g., land ice loss, isotatic adjustments, and changes in land water storage) that will contribute to relatively abrupt changes in sea state levels. The additions to thermal expansion will drive higher sea levels and the increases in sea level will be attained by further accelerations in the rate of the rise. Because of the nature of the new mechanisms that will govern sea levels, it is unlikely that future accelerations in the rate of rise will be smooth. To further address the complications associated with relatively abrupt changes in SLR and related impacts of climate change at the coastal land margin we intend to: (1) refine, enhance, and extend the coupled dynamic, bio-geo-physical models of coastal morphology, tide, marsh, and surge; (2) advance the paradigm shift for climate change assessments by linking economic impact analysis and ecosystem services valuation directly to these coastal dynamics; (3) pursue transdisciplinary outcomes by engaging a management transition advisory group throughout the entire project process; and (4) deliver our results via a flexible, multi-platform mechanism that allows for region-wide or place-based assessment of NNBFs. This presentation will share examples of our recent efforts and discuss progress to-date.

Michael Young UT, Bureau of Economic Geology

Improving soil models by connecting scientific disciplines

Michael H. Young1, Kris van Looy2, Harry Vereecken2, Martine van der Ploeg3 1 Bureau of Economic Geology, Jackson School of Geosciences, University of Texas at Austin 2 Agrosphere Inst., IBG-3, Inst. of Bio-geosciences, Forschungszentrum Jülich GmbH 3 Department of Soil Physics and Land Management, Wageningen University & Research Soil science has developed as a critical discipline of the biosphere and continues to develop every day; yet state-of-the-art modeling is unable to adequately synthesize many processes in applied earth system models. If we agree that soil is a critical life-supporting compartment that supports ecosystem functions (e.g., habitat for biodiversity) and ecosystem services (e.g., water filtration, nutrient management), and that produces food, feed, fiber and energy for our societies, then our inability to integrate soil processes into the broader array of earth system models is an issue that needs solving. Integration is an achievable goal. Other research communities have collaborated intensively over the past decades—specifically the climate modeling community—but even many of their approaches overlook (or over-average) the detailed and advanced shared knowledge of the soil compartment. This represents a gap in how scientific knowledge is implemented. Over the recent decades, a new generation of soil models has been developed, based on a whole systems approach comprising all physical, mechanical, chemical, and biological processes. The processes are needed to fill these critical knowledge gaps and contribute to the preservation of ecosystem function, improve our understanding of climate-change feedback processes, bridge basic soil science research and management, and facilitate the communication between science and society. The International Soil Modeling Consortium (ISMC) was formed in 2016 as a new community effort of soil modelers to improve how soil processes are communicated to other scientific communities, from earth dynamics to biogeosciences to global climate modelers. ISMC was formed around three themes: linking data and observations to models; creating the means for soil model intercomparison studies; and connecting our soil-related knowledge between science communities. Within less than 12 months of inception, ISMC has warehoused nearly 40 soil-related models, initiated data sets and platforms for modeling studies, and facilitated collaborations with several international groups, including CSDMS. In this discussion, we will describe the motivation and genesis of ISMC, present current status of our research, and seek to create new research partnerships.

Alison Duvall UT, Department of Earth and Space Sciences

Cascadia subduction zone earthquakes and landslides - How will the hillslopes handle the big one?

The last decade has provided unexpected lessons in the enormous risks from great subduction earthquakes: Sumatra 2004, Chile 2010, and Japan 2011 were each devastating, resulting in surprising impacts distinct from shallow seismic events. Similar large-magnitude earthquakes are known to occur on the Cascadia subduction zone (CSZ), with the potential of rupturing the entire 1100 km length of the Pacific Northwest plate boundary. Coseismic landslides represent one of the greatest risks to the millions of people living along the Cascadia Subduction Zone, from northern California to southern British Columbia. Empirically derived relationships between earthquake magnitude and landsliding suggest a magnitude 9 earthquake is likely to trigger thousands of landslides. Because a magnitude 9 subduction earthquake is well known to have occurred just over 300 years ago, evidence of coseismic landslides triggered by this event should still be present in the landscapes of the Washington and Oregon Coasts. We are systematically hunting for these landslides through field and LiDAR mapping and are using a combination of radiocarbon dating and surface roughness analysis, a method first developed to study landslides near to the Oso 2014 disaster site, to develop more robust regional landslide chronologies. In addition, we compare our results to new modeling that includes probabilistic quantification of ground motions from M9 earthquakes, and the predicted landslide response to these synthetic seismograms. With these new data, we hope to better characterize how the landscape will respond to the next large subduction zone earthquake in the Pacific Northwest.

Jonathan Gilligan Vanderbilt , Department of Earth and Environmental Sciences	Will come
	Will come

Moira Zellner UIC, Department of Urban Planning and Policy

Participatory Complex Systems Modeling for Environmental Planning: Opportunities and Barriers to Learning and Policy Innovation

Six years ago, we set out to study how complex systems simulations could support collaborative water planning. We hypothesized that, by allowing participants to see the hidden effects of land- and water-use decisions on water flow, such tools could provide a platform for collective and innovative solution-building to complex environmental problems. We first adopted a developmental and collaborative agent-based approach, where groups of stakeholders learned how to inform and use models to assess the impacts of different implementation strategies. Despite their improved understanding and enhanced exploration of solutions, participants resisted policy innovation beyond familiar strategies. We refined our approach towards facilitated interaction with complex systems models and additional interfaces to help stakeholders provide direct input to the simulations, comprehend model outputs, and negotiate tradeoffs. Participants challenged outdated and false assumptions and identified novel solutions to their water woes. Nevertheless, at times the dissonance between simulation outputs and participants’ expectations was too great to accept and own. We share three stories of the obstacles encountered and offer suggestions to overcome them: keep models and interfaces simple, make both biophysical processes and values visible and tangible, and explicitly structure the social aspects of the simulation’s use. We draw on our experiences to show what aspects of visualization can support participatory planning.

David Gochis UCAR, Research Applications Laboratory

Process linkages in the WRF-Hydro/NOAA National Water Model: Different processes operating on different scales

The community WRF-Hydro system has evolved from a basic land surface modeling scheme for atmospheric models into a more comprehensive operational hydrologic prediction system.  Key to this evolution was explicit accounting for the need to represent different processes at different scales or with different types of spatial representations. The most recent evolution of the WRF-Hydro system was its implementation as the modeling system supporting the new NOAA National Water Model which become officially operational in August of 2016. This presentation will discuss the different kinds of configurations utilized within the NOAA National Water Model (NWM) and how the WRF-Hydro system was adapted to meet those requirements.   Specific emphasis will be placed on describing the spatial transformations and flux passing methods that were required to maintain coupling between different parts of the forecasting system.  Also discussed will be future work that is planned to enable new process representations within the NWM and how modeling approaches under the CSDMS has influenced this development.

Robert Nicholls Southampton University, UK	Will come
	Will come

Marco Janssen Arizona State University, School of Sustainability	Will come
	Will come

Brian Walsh International Institute for Applied Systems Analysis	Will come
	Will come

Clinic Leaders

Tuesday (1^st day)

Irina Overeem & Mark Piper CU, CSDMS-IF {{{participants}}}

Bringing CSDMS Models into the Classroom

CSDMS has developed a Web-based Modeling Tool – the WMT. WMT allows users to select models, to edit model parameters, and run the model on the CSDMS High-Performance Computing System. The web tool makes it straightforward to configure different model components and run a coupled model simulation. Users can monitor progress of simulations and download model output. CSDMS has designed educational labs that use the WMT to teach quantitative concepts in geomorphology, hydrology, coastal evolution and coastal sediment transport. These labs are intended for use by Teaching assistants and Faculty alike. Descriptions of 2 to 4-hr hands-on labs have been developed for HydroTrend, Plume, Sedflux, CHILD, TOPOFLOW and ROMS-Lite. These labs include instructions for students to run the models and explore dominant parameters in sets of simulations. Learning objectives are split between topical concepts, on climate change and sediment transport amongst many others, and modeling strategies, modeling philosophy and critical assessment of model results. In this clinic, we will provide an overview of the available models and labs, and their themes and active learning objectives. We will discuss the requirements and logistics of using the WMT in your classroom. We will run some simulations hands-on, and walk through one lab in more detail as a demonstration. Finally, the workshop intends to discuss future developments for earning assessment tools with the participants.

Irina Overeem1 & Elchin Jafarov2 & Kang Wang1 1) CU, CSDMS-IF 2) LANL

Modeling Permafrost; a new software toolbox to explore frozen grounds

Permafrost is one of the Arctic climate indicators, and feedback of thawing permafrost to the global climate system through the impacts on the carbon cycle remains an important research topic. Observations can assess the current state of permafrost, but models are eventually essential to make predictions of future permafrost state. In this 2hr clinic, we will present a new, easy-to-access and comprehensive cyberinfrastructure for permafrost modeling. The ‘PermaModel Integrated Modeling Toolbox’ includes three permafrost models of increasing complexity. The IMT is embedded within the Community Surface Dynamics Modeling System Web Modeling Tool (WMT). We include multiple sets of sample inputs, representing a variety of climate and soil conditions and locations, to enable immediate use of the IMT. The hands-on clinic teaches students and researchers how to run and use several permafrost models. The presented models are envisioned to be the suitable for quick exploration of hypotheses and for teaching purposes.

Jean-Arthur Olive Lamont-Doherty Earth Observatory

Introduction to coupled geodynamics-surface process modeling with SiStER

This clinic will provide an introduction to the MATLAB-based geodynamic modeling code SiStER (Simple Stokes solver with Exotic Rheologies, available at: https://csdms.colorado.edu/wiki/Model:SiStER), with particular emphasis on problems that couple solid-Earth deformation and surface processes. Attendees will develop and run simulations where fault evolution (in rifts or orogens), lithospheric flexure and/or mantle flow interact with surficial mass redistribution through erosion and sedimentation.

Greg Tucker CU, Department of Geological Sciences	LandLab and Dakota
	Coming

Wednesday (2^nd day)

Mariela Perignon CU, CSDMS-IF

ANUGA - An open-source model of river flood morphodynamics (and other hydrological disasters)

ANUGA is an open source software package capable of simulating small-scale hydrological processes such as dam breaks, river flooding, storm surges and tsunamis. Thanks to its modular structure, we’ve incorporated additional components to ANUGA that allow it to model suspended sediment transport and vegetation drag. ANUGA is a Python-language model that solves the Shallow Water Wave Equation on an unstructured triangular grid and can simulate shock waves and rapidly changing flows. It was developed by the Australian National University and Geosciences Australia and has an active developer and user community. This clinic will provide a hands-on introduction to hydrodynamic modeling using ANUGA. We will discuss the structure and capabilities of the model as we build and run increasingly complex simulations. No previous knowledge of Python is required. Example input files will be provided and participants will be able to explore the code and outputs at their own pace.

Reed Maxwell CSM, Department of Geology and Geological Engineering	Parflow
	Coming

Tatiana Filatova University of Twente, Faculty of Behavioral, Management and Social sciences

Spatial agent-based models: introducing individual interacting actors in environmental models

Agent-based modeling (ABM) developed as a method to simulate systems that include a number of agents – farmers, households, governments as well as biological organisms – that make decisions and interact according to certain rules. In environmental modeling, ABM is one of the best ways to explicitly account for human behavior, and to quantify cumulative actions of various actors distributed over the spatial landscape. This clinic provides an introduction to ABM and covers such topics as: Modeling heterogeneous agents that vary in attributes and follow different decision-strategies Going beyond rational optimization and accommodating bounded rationality Designing/representing agents’ interactions and learning. The clinic provides hands-on examples using the open-source modeling environment NetLogo https://ccl.northwestern.edu/netlogo. While no prior knowledge of NetLogo is required, participants are welcome to explore its super user-friendly tutorial. The clinic concludes with highlighting the current trends in ABM such as its applications in climate change research, participatory modeling and its potential to link with other types of simulations.

Allen Lee Arizona State University	Reproducibility and Open Science
	Coming

Thursday (3^rd day)

Raleigh Martin University of California, Los Angeles

The Sediment Experimentalist Network (SEN) Knowledge Base

The Sediment Experimentalist Network (SEN) integrates the efforts of sediment experimentalists to build a Knowledge Base for guidance on best practices for data collection and management. The network facilitates cross-institutional collaborative experiments and communicates with the research community about data and metadata guidelines for sediment-based experiments. This effort aims to improve the efficiency and transparency of sedimentary research for field geologists and modelers as well as experimentalists. The purpose of this clinic is to familiarize participants, experimentalists and modelers alike, with how to use and contribute to the SEN Knowledge Base (SEN-KB, www.sedexp.net). SEN-KB provides a wiki-like forum for sharing information on experimental methods, equipment, set-ups, and facilities. It also serves as a portal for discovery of datasets tied to the descriptions of experimental techniques. Such datasets are not hosted on SEN-KB; rather, data descriptions are linked to datasets stored on external servers, such as SEAD (“Sustainable Environment Actionable Data”, https://sead2.ncsa.illinois.edu/). SEAD is a resource for storing and curating large (10’s-100’s of GB) experimental datasets, and it provides the capability for submitting these data for publication, issuance of DOIs (“digital object identifiers”), and long-term archiving on disciplinary data repositories. After a brief introduction to using SEN-KB and SEAD, participants will divide into two groups depending on their interests. The first group of “Data Contributors” will engage in a focused session of contributing new entries and/or editing existing entries on SEN-KB and SEAD based on their own experimental work. The second group of “Data Utilizers” will formulate and begin executing plans for addressing scientific questions of interest based on utilization of existing datasets described on SEN-KB and SEAD, such as those generated at the pre-JpGU Kyoto-SEN workshop (Morphodynamics and Genetic Stratigraphy for Understanding Landforms and Strata) to be held a few days before the clinic. We expect experimentalists to affiliate with the “Data Contributors” group, whereas modelers and other non-experimentalists will affiliate with the “Data Utilizers” group. Nonetheless, participants are open to choose for themselves. Both groups will be guided by SEN-KB leaders on hand to answer questions and document software issues. Toward the end of the clinic, both groups will reconvene to discuss lessons learned a path forward. Enrollees will be contacted a couple weeks prior to the CSDMS meeting to engage in some brief pre-workshop activities to prepare for the clinic. Tasks for participants prior to clinic: Fill out survey (edit here). Set up an account on SEN-KB - include in email, remind the day before - http://sedexp.net/ You have two choices (1) Click “Create new account” OR (2) “Log in with Google” Set up an account on SEAD Bring laptop to session - remind the day before

Kim de Mutsert GMU, Department of Environmental Science and Policy

Introduction to EcoPath with Ecoism

This clinic will offer you an introduction to developing food web models using Ecopath with Ecosim software. Ecopath with Ecosim (EwE) is an ecological modeling software suite for personal computers that has been built and extended on for almost thirty years. EwE is the first ecosystem level simulation model to be widely and freely accessible. EwE is the most applied tool for modeling marine and aquatic ecosystems globally, with over 400 models published to date, making EwE an important modeling approach to explore ecosystem related questions in marine science. In addition, Ecopath software was recognized as one of NOAA’s top ten scientific breakthroughs in the last 200 years. In this clinic, we will start with a brief introduction, then download the freeware and start setting up some simple models which we will use in example exercises. Note: the software works in a Windows environment; Mac computers can be used if they are set up with Parallels Desktop or a similar application to run programs in a Windows environment on a Mac.

Thomas Hauser University of Colorado, Boulder	HPCC (RC)
	Coming

Mark Piper & Eric Hutton CU, CSDMS-IF

BMI: Live!

In software engineering, an interface is a set of functions with prescribed names, argument types, and return types. When a developer implements an interface for a piece of software, they fill out the details of the function, while keeping the signatures intact. CSDMS has developed the Basic Model Interface (BMI) for simplifying the conversion of an existing model in C, C++, Fortran, Python or Java into a reusable, plug-and-play component. By design, BMI functions are straightforward to implement. However, when trying to match BMI functions to model behaviors, the devil is often in the details. In this hands-on clinic, we will take a simple model -- in this case, an implementation of the two-dimensional heat equation in Python -- and together, we will write the BMI functions to transform it into a component. As we develop, we’ll unit test our component with nose, and we’ll explore how to use the component with a Jupyter Notebook. Optionally, we can set up a GitHub repository to store and to track changes to the code we write. To get the most out of this clinic, come prepared to code! We have a lot to write in the time allotted for the clinic. Attendees must bring a laptop, and we recommend installing the Anaconda Python distribution. We also request that you read over: BMI description BMI documentation (http://bmi-python.readthedocs.io) before participating in the clinic.

Participants

Who is registered for what as of 05/09/2024?

• Participants meeting
• Submitted abstracts
• Participants bootcamp May 22^th
• Participants hackathon May 26^th
  
  

Reimbursement

Within its budget, CSDMS intends to support member applicants to attend the annual meeting. Towards this goal, we encourage members to fully or partially cover their expenses if capable. We additionally thank those in the industry and agency fields for understanding that 1) we cannot compensate federal agency participants since our own funding is from NSF, and 2) we request that our industrial/ corporate participants cover their own costs thereby allowing more academic participants to attend.

To the extent possible, CSDMS intends to reimburse the registration fee (for those who send a request after the meeting), lodging (shared rooms at 100% and single rooms at 50% at conference hotels), and a limited amount of travel expenses for qualified registrants - those members who will attend all three days of the meeting, provide a presentation and are not industry or federal employees.

Important for foreign travelers requesting reimbursement: If you need a visa to travel to USA, select a business visa. If you need an invitation letter, please email csdms@colorado.edu as soon as possible. Also indicate whether specific wording is required in the letter. Second, we will need to copy the entry stamp in your passport sometime during the meeting as proof that you were here on business as required by US tax laws for reimbursement (especially when dealing with airfare.) We are only able to provide reimbursement for airfare within the U.S. All airfare that is being reimbursed must be for airlines that are U.S. flag carriers.

Travel, Lodging and Conference Center Information

The meeting will be held at SEEC
Hotel: Millennium Harvest House Hotel
Transportation: You can book transportation between DIA and Boulder here: Green Ride Boulder. And information on how to find Green Ride Boulder at DIA.
We will provide a bus between the hotel and the meeting venue each day. We will also provide transportation to the banquet.

Pre-conference Software Carpentry bootcamp

CSDMS will host a one-day pre-conference Software Carpentry bootcamp on Monday May 22^nd, 2017, led by Mariela Perignon and Mark Piper.

The objective of the bootcamp is to teach basic programming skills that will be useful for scientific computing and model development. This is an intensive, hands-on workshop, during which certified instructors will cover basic elements of:

1. the Unix bash shell,
2. Python programming and NumPy, and
3. Github for version control.

Our instructors are earth scientists and have familiarity with the CSDMS framework, such that lessons and examples will be targeted toward relevant problems in your field. The bootcamp intentionally precedes the CSDMS meeting, so the skills participants develop should be useful in the clinics during the meeting.

Note:

• Registration is open till April 1^st (or until program fill) and is handled through the 2017 meeting site.
  
• The bootcamp is capped at 30 participants (first paid first serve), and it has a $30 registration fee.
• Participant will be responsible for cost / organization of their extra day of hotel accommodation and dinner. Costs will not be reimbursed.
• We will cover coffee, continental breakfast and lunch during the bootcamp.
  
  

Post-conference hackathon

CSDMS will host a one-day post-conference hackathon on Friday May 26^th, 2017, organized by Eric Hutton and Mark Piper.

A hackathon is loosely defined as a social gathering with the goal of collaboratively creating usable software. Here, we’ll hack BMIs. The motivation is that a BMI-ed model can be converted into a CSDMS component, which allows it to be called from PyMT and included in WMT, thereby increasing the visibility and use of the model. Each attendee is invited to bring a model of their choice¹ to wrap with a BMI. The model can be in any CSDMS-supported language (C, C++, Fortran, Java, Python). Attendees should be proficient in the language of their chosen model. Attendees will be required to submit their model code to CSDMS staff before April 1, so that the hackathon organizers have time to familiarize themselves with the code. The attendees will work together to add BMIs to models. CSDMS staff will guide participants and provide technical assistance. The ultimate goal of the hackathon is to get each participant's model wrapped with a BMI. This is a lofty goal. The more likely outcome is that each participant will have a good start on getting their model wrapped.

Before the hackathon, attendees are expected to have read:

• BMI description
• BMI documentation (http://bmi-python.readthedocs.io)

and to have attended a BMI clinic in the current or in an earlier year. Attendees need a laptop with either a working compiler for the language of their choice or an account on beach​. To make the most of the hackathon, attendees should attempt to prepare their model for a BMI by refactoring it into initialize (sets the initial state of the model), update (advances the model by one time step), and finalize (shuts down the model) subprograms.

¹ If an attendee doesn’t have a model to wrap, but does express a language preference, we will provide them with a simple model in their language that they can wrap; however, attendees who bring their own model will have precedence if space is an issue.

Note:

• Registration is open till April 1^st (or until program fill) and is handled through the 2017 meeting site.
  
• The hackathon is capped at 12 participants (first paid first serve), and it has a $30 registration fee.
• Participant will be responsible for cost / organization of their extra day of hotel accommodation and dinner. Costs will not be reimbursed.
• We will cover coffee, continental breakfast and lunch during the hackathon.
  
  

Student Scholarships

This year CSDMS is offering a limited number of scholarships (up to 12) for graduate students to attend the CSDMS annual meeting. Three of the 12 scholarships will be offered for the purpose of increasing participation of underrepresented students. To be eligible, graduate students need to meet the following requirements:

• Attend the whole meeting (May 23-25, 2017)
• Submit an abstract
• Be enrolled as a graduate student at the time of the meeting (bring proof)
• Submit a letter of motivation that states why you wish to participate in the meeting, and explain how your participation would enhance diversity in the field of surface dynamics modeling.

Send your application materials to csdms@colorado.edu by March 1, 2017. The CSDMS scholarships will cover:

• Registration costs (you will still need to pay the registration fee, but will be reimbursed after attending the meeting)
• Hotel accommodations (as outlined in Travel/Lodging section above - 100% paid if you agree to a roommate)
• Travel (air fare ONLY within the United States and local transport)
• Per diem to help reimburse the cost of meals from 23-25 May 2017 not offered in the conference schedule
  
  

Important dates

• January 15^th: Registration opens
• March 1^st: Deadline for student scholarship applications CSDMS
• April 1^st: Deadline for abstract submission & early registration
• April 15^st: Deadline for meeting supported hotel reservations. After this deadline, reservations and accommodation costs will be responsibility of participant.
• May 15^th: Deadline late registration. Notice additional costs do apply.
• May 22^nd: Optional: pre-conference bootcamp
• May 23-25^th: CSDMS annual meeting
• May 26^th: Optional: post-conference hackathon
• May 26^th: CSDMS Executive and Steering committees meetings (by invitation only)