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Mark Altaweel University of Chicago University of Alaska Argonne National Laboratory

Connecting the Dots: From Monitoring to Modeling Social-Ecological Systems. Mark Altaweel University of Chicago University of Alaska Argonne National Laboratory. FERAL: Land Use and Water Systems Modeling. Agents concentrate at river sources nearest to White Mountain.

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Mark Altaweel University of Chicago University of Alaska Argonne National Laboratory

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  1. Connecting the Dots: From Monitoring to Modeling Social-Ecological Systems Mark Altaweel University of Chicago University of Alaska Argonne National Laboratory

  2. FERAL: Land Use and Water Systems Modeling Agents concentrate at river sources nearest to White Mountain. Citation: Altaweel, M.R., Alessa, L.N., Kliskey, A.D. 2009. Forecasting environmental resilience in Arctic societies. JAWRA 45(6):1379-1389

  3. Representation of Social Networks Modeling approaches have also addressed how social networks interact in making resource decisions. Citation: Altaweel, M.R., Alessa, L.N., Kliskey, A.D. 2010. Social influence and decision-making: Evaluating agent networks in village responses to change in freshwater. JASSS 13(1).

  4. Modeling and the “Big Picture” Any applied modeling approach needs to account for the larger research goals. This requires the integration of research steps. Our focus has been on how to integrate data with models so that eventually It can be a more automated or semi-automated.

  5. Protocol Details The integration of a data setting protocol is intended to allow a semi-automated approach to integrating data and social- ecological models. The key characteristics include the inclusion of temporal, spatial, and information on social and environmental processes. Citation: Altaweel, M.R., Alessa, L.N., Kliskey, A.D., Bone, C. 2010. A framework to structure agent-based modeling data for social-ecological systems. Structure and Dynamics 4(1).

  6. Structure of AIDA: Applying and Information Fusion Approach Information fusion can integrate both structured and unstructured data. There is a real need to integrate qualitative as well as quantitative information. Citation: Altaweel M.R., Alessa L.N., Kliskey A.D., Bone C.E. 2010. Monitoring land use: Capturing change through an information fusion approach. Sustainability 2(5):1182-1203. Citation: Altaweel, M.R., Alessa, L.N., Kliskey, A.D. 2010. Visualizing situational data: Applying information fusion for detecting social-ecological events. Social Science Computer Review. doi:10.1177/0894439309360837

  7. Protocol Integration with Information Fusion Tool AIDA

  8. Finding Relationships Data assessment using a network perspective. you get this click on this

  9. Data Capture at Time Slice Relationships between terms define what information and processes people report as significant.

  10. 3D Network Display (1) Assessing trends over time Time span investigated

  11. 3D Network Display (2) committee village road community construction sewer

  12. Displays of Data Visualization with a variety of output display tools. This allows both structured and unstructured data to be evaluated.

  13. Inverse Document Frequency (IDF) for Trend Analysis IDF value for Location 1 IDF value for Location 2 terms from term databases

  14. Link Relationships through V V value for Location 1 V value for Location 2

  15. Fieldwork and Automated Approaches To improve the speed and feedback between data capture and analysis, we will apply handheld device in capturing voice data. We will also apply traditional methods.

  16. Addressing the Full Scope of Research Goals Information fusion techniques not only help to integrate data gathering with modeling, but the goal is to quicken the lag between data collection and model assessment. More rapid assessments can make it more practical to modify or change the research strategy.

  17. Summary • Modeling addressing social-ecological systems cannot be done outside the larger research context that looks at the questions, data needs, and data gathering methodology. • There is a greater need to integrate disparate data from a variety of fields and sources in Alaska. Currently, there is difficulty in fully automating data collection with model integration, but we’ve had some success in semi-automated integration. • Information fusion offers a methodology that can allow us to integrate different types of social and environmental data (structured and unstructured data). Such data can be assessed for important spatial, temporal, and behavioral characteristics. • Our goal is to have a methodology developed so that data gathering is both more efficient and directly useful for constructing modeling approaches. This can informs us about significant social-ecological processes and what data needs are relevant for further collection.

  18. Availability of AIDA Tool and Interdisciplinary Research • Current availability of AIDA (Client and Server code): http://www.mdpi.com/2071-1050/2/5/1182/ • We have begun a collaborative research project with a political science researcher at the University of Massachusetts using AIDA to assess health care policy and how that is reported in the press. • Will be available (late 2010 or early 2011) on SourceForge • Questions, comments, ideas then please contact Mark Altaweel at: maltaweel@anl.gov or mraltawe@uchicago.edu

  19. Demo Video of AIDA

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