Challenge. Socio-environmental challenges, such as those related to climate adaptation, disaster mitigation, and disaster response, are inherently transdisciplinary challenges that span many traditional disciplinary areas. How does one foster a common understanding (or, in incidence response parlance, a "Common Operational Picture") amongst the team so that team members develop a better awareness of where they fit in the big picture? How does one gain an understanding of that picture to then determine the types of data relevant to the challenge? Can a machine algorithm be asked to suggest relevant data given the context of a challenge? This session highlights the progress experimenting with concept maps in relation to these questions.
Prize Challenge. ESIP is sponsoring three cash prizes of $1000, $500, and $250 to solicit high-quality concept maps that capture the workflow connecting data to decisions. Details of the prize challenge will be unveiled at this session, and prospective teams will have a chance to self-organize via breakout sessions.
Pre-requisite.There are no pre-requisite requirements to participate in this session. However, you may wish to:
- Attend a free tutorial. We are offering a free introductory tutorial to ontologies (a short registration is required). The tutorial will provide some foundational background for aspects of our discussion. You need to complete the short registration even if you are already registered for the ESIP summer meeting, because the tutorial is open to anybody, even individuals who are not attending the ESIP meeting.
- Browse the "data-to-decisions" concept map wiki.
Relevance. You may be interested in concept maps because they are often useful for:
- Engagement (within an organization, e.g., across ESIP collaboration groups; and between organizations, e.g., Agriculture & Climate Cluster and NASA GSFC Applied Sciences);
- Communications (to colleagues with whom one’s work has dependencies, upper management who needs a high-level summary, or program managers who provide funding opportunities;
- Education (of those interested in better understanding the conceptual areas adjacent to one’s own expertise);
- Machine-assisted context-aware knowledge discovery.
Background. The Agriculture and Climate Cluster (ACC), in recent months, initiated an
effort to create a small experimental collection of concept maps focused on using data to drive decisions for climate adaptation, disaster mitigation, and disaster response. This effort is part of an evolved action item from the ACC “Agro-Artificial Intelligence" session at the
ESIP 2020 Winter Meeting.
Focus. In this back-to-back session, co-hosted with the Disaster Lifecycle Cluster, we will continue our outreach, followed by exploring use cases in applying concept maps to disaster planning and response. Specifically, we will focus on wildfires, their effects on soils, and consequent terrain and terrane responses (e.g., flash floods, debris flows/landslides, air pollution, water pollution). This focus is, in part, a follow-up to the
ACC “wildfires/soils” session, also at the ESIP 2020 Winter Meeting.
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Session NotesTakeaways- Concept mapping requires a shared ontology, shared knowledge, harmonized data → interdisciplinary content experts needed
- Concept mapping needs to be dynamic and have built in adjustments
- Concept mapping needs to be useful/understandable to multiple groups. There may need to be different views of a concept map that are keyed to a user/intent.
