The MSD community of practice organizes periodical webinars hosted online. The webinars highlight research efforts that are of wider interest to the MSD community.

Gray color indicates a working group organized event

Future webinars

Any future webinars will be announced on this page and in our newsletter. Join us to receive our newsletter here.

Previous webinars

February 22, 2022 1pm-3pm EST
Title: MultiSector Dynamics Vision Report and Community Building Webinar
Presenter(s): Scientific Steering Group, Facilitation Team
We have launched our 2030 Research Vision report! We’re outlining a vision for MultiSector Dynamics as a transdisciplinary field that seeks to advance our understanding of human-Earth systems interactions. You can access the report here:
To learn more about this report and about our community join us in a community building webinar where we will be presenting the main themes of the report and seeking community inputs for future events and engagement.
Read our Take-aways from this webinar and download our slides here
Title: (Re)-Introducing the Professional Development and Education for Early Career Researchers Working Group
Presenters: Professional Development and Education for Early Career Researchers Working group
The working group on Professional Development and Education for Early Career Researchers seeks to further the scientific mission of MSD by supporting the growth and diversity of early career researchers in MSD and related fields.  We seek to provide professional development opportunities to graduate students, post-doctoral researchers, and other early career researchers, and serve as a contact point for interdisciplinary education activities already taking place in the MSD community. In our first year we’ve highlighted the need for attention to DEI through our presentations at community webinars, highlighting that a diverse workforce that is supported by inclusive workplaces will more effectively solve today’s complex, multi-sectoral challenges. For example, because climate change disproportionately impacts some of the same groups that are underrepresented in STEM fields, the social impacts of climate disasters will be better understood by diverse research teams.  Using the evidence-based practices that we’ve collected so far, we are now preparing a survey to distribute to the MSD community at large to understand what resources and events are desired to support early career researchers’ success with an eye on DEI. We’ll use this information to plan the focus of next year’s events. We welcome anyone interested in learning more about our work to attend the info session and/or consider joining the working group. Why would a busy STEM professional want to join this working group? Participation can help shape the MSD community as it grows, and working group members have an opportunity to network across institutions and MSD projects, gain recognition for their work, and bring back best practices for DEI and early career professional development to their place of work.   We not only encourage women and underrepresented minorities in STEM to participate, but also everyone who wants to learn about DEI and career development in their workplace. In our first year, we’ve valued the different contributions of early career researchers as well as senior scientists in our monthly meetings.  Whether or not you join the working group, you can provide input on these important topics by responding to our upcoming survey. 
Title: Overview of the Geospatial Analytics for Multisectoral Urban Teleconnections (gamut) Package
Presenters: Facilitating FAIR Data Working group
Urban drinking water supplies can be exposed to contamination arising from land use and other anthropogenic activities in local and distal source watersheds. Because water quality sampling surveys are often piecemeal, regionally inconsistent, and negligent of unregulated contaminants, the United States lacks a detailed comparison of potential source water contamination across all its large cities. We sought to solve this problem by combining national scale geospatial datasets with data from CONUS-scale hydrologic simulations. Our presentation will describe the Geospatial Analytics for Multisectoral Urban Teleconnections (`gamut`) R package and its use in analyzing point and nonpoint source water contamination affecting the 100 largest U.S. cities. The `gamut` package was built to be open source and relies solely on open access input data. We will describe our application of FAIR data principles, both in package development and data management.

March 2021
Title: MSD: Shared Themes, Questions, and Methods — Update on Community Activities
Scientific Steering Group, Facilitation Team and Working Groups
The next MSD Community webinar will be held on March 2nd, 1-2:30 pm ET. This webinar will be presented by members of the Scientific Steering Group and will focus on several aspects of our joint efforts to evolve a framework for MSD research, detailed in the community’s upcoming white paper. Specific topics will include:
Reflections on AGU 2020 and initial planning for AGU 2021
White paper outline and development process
Updates on activities from our Working Groups
You can watch a recording of this presentation here.
You can access the slides used in this presentation here.
June 2020
Title: The FEWSION food-energy-water dataset
Presenter(s): Benjamin Ruddell (ASU)
Time: Jun 11, 2020 11:00 AM Pacific Time (US and Canada)
This webinar is organized by the Facilitating FAIR Data Working group
FEWSION is a significant NSF-funded research effort focused on mesoscale food-energy-water systems data synthesis in the United States. This effort involves engineering a coupled natural human systems data model for commodity (and other) inputs and outputs, including adoption of database structures and standards, controlled vocabularies and crosswalks, metadata, documentation, scientific workflows, high performance computing optimization, and data fusion/linking strategies to integrate heterogeneous spatiotemporal data sources. Visualization is also a challenge, and patent-pending visual analytics strategies have been developed and prototyped in the FEW-View system available since April 2019 on the website The first version of the dataset is already available to collaborators, although unpublished, and the second version is scheduled for a more complete publication and release in 2020-2021.
April 2020
Title: Evolving a framework for MSD research and modeling that facilitates collaboration
Scientific Steering Group, Facilitation Team and Working Groups
The webinar will be presented by members of the Scientific Steering Group (SSG) and will focus on several aspects of our joint efforts to evolve a framework for MSD research and modeling that facilitates collaboration. Specific topics will include:
SSG and Working Groups: purposes and initial activities
AGU 2020 session planning
White paper/journal article outline and development process
Next opportunity to submit proposals for Working Groups
You can access the slides used in this presentation here.
November 2019
Title: Using Common Tools to Build Communities of Practice from the Ground Up
Casey Burleyson, Pacific Northwest National Laboratory
Chris Vernon, Pacific Northwest National Laboratory
The goal of this webinar was to facilitate an open discussion about how communities can accelerate progress by leveraging a common set of resources. For example, reusing datasets and open-source software to reduce duplication of effort and enhance reproducibility and extensibility. The presenters used two example communities at different stages of development to guide the conversation.
The first example presented was the Community Surface Dynamics Modeling System (CSDMS) is a well-established, NSF-funded, international effort to develop a suite of modular numerical models able to simulate the evolution of landscapes and sedimentary basins.
The early-stage example presented was MSD-LIVE: The MultiSector Dynamics – Living, Intuitive, Value-adding Environment. MSD-LIVE is a flexible data and code management system combined with a computational platform and set of user interfaces that will enable MSD researchers to document and archive their data, run their models and analysis tools, and share their data, software, and multi-model workflows.
You can access the slides used in this presentation here.
June 2019
Title: MultiSector Dynamics (MSD) in Complex Adaptive Systems: Community Collaboration
Richard Moss, Pacific Northwest National Laboratory
Patrick Reed, Cornell University
Erwan Monier, University of California, Davis
Antonia Hadjimichael, Cornell University
The first webinar of the MSD Community of Practice gave an overview of the collaboration project and its efforts to facilitate the emergence of a community of MSD researchers.
The webinar reported on the results from the community survey conducted in March 2019, as well as their synthesis in emerging definitions and science questions for the MSD community. The community charter and terms of reference were also discussed.
You can access the slides used in this presentation here.