• NSF Dynamics of Coupled Natural and Human Systems
• NSF Geography and Spatial Sciences Program
• NSF Geography and Spatial Sciences Program - Doctoral Dissertation Research Improvement Awards
• NSF Graduate Research Fellowship Program (GRFP, US citizens only)
• NASA Earth and Space Science Fellowship (NESSF) Program (Prefer US citizens)
• NASA Land-Cover and Land-Use Change (LCLUC) Program
• Joint Fire Science Program
• EPA Integrating Human Health and Well-Being with Ecosystem Services Program
• National Science Foundation INFEWS Program
• NICHD Population Mobility and Spatial Demography Program
• NSF Partnerships for International Research and Education (PIRE) Program
• NSF Resource Implementations for Data Intensive Research in the Social, Behavioral and Economic Sciences (RIDIR) Program
• NSF Interdisciplinary Behavioral and Social Science Research (IBSS)

View other sources for funding opportunities (.pdf) | View the presentation about funding (.pdf)

For all the CHES data we work with, please accompany a metadata--if it is an Excel file, create a spreadsheet in the same data file; if it is a folder that includes multiple data files, prepare a Readme.txt file. Provide the following information in your meta-data file: Name of the person(s) who collected the data, who created the file, and/or who compiled/checked data, contact information of this person(s), time of the data coverage and data collection, the purpose of this dataset, the data source(s) (list the original file name and in what folder or online source), the meaning and unit of each variable, geographic coverage (e.g., the whole Ghana or the Fanjingshan National Nature Reserve in China), sampling strategy (random sampling, stratified sampling, etc.) or census, and notes (the things you want to highlight). Below please find several meta-data examples.

• Metadata for Environmental Datasets (.pdf) (.xls)
• Metadata for Human Survey Datasets (.pdf) (.xls)
• Metadata for Imagery or GIS Datasets (.pdf) (.xls)

The components in a certain meta-data may vary with projects or topics. As we embark on new CHES research projects, we will keep updating the correpsonding elements. But the generic idea remains unchanged: make the data understandable, clear, and useful to people who do not know the data.

Data stream documentation

Data stream means a series of datasets that are connected as input (upstream) and output (downstream) files. For instance, from Dataset (File) A, Dataset B1 is created; from B1 (maybe in conjunction with File B2), File C is created ... Then in the documentation process, we write down all the steps showing this stream of data creation and/or processing, including all files (here A, B1, B2, C...) as well as software or code (if different from the supporting software of the input file) that is used in each step. Below are exemplar data stream documents for the Ghana project, which is created by Evan Casey with instructions from Dr. An:

• Step-by-step documentation (.pdf)
• All files in the stream (.pdf)

Note that all the files (including intermediate files) mentioned in the meta-data file (i.e., ABM_Data_Procedures.pdf) are saved and listed at the same folder in which the meta-data file is saved. This kind of documentation is useful for other people to follow, check, and verify the data creation processes, but not always required. It is often adopted when various data merging, compiling, selection, and processing steps are needed to create an ultimate file.

SDSU Library

CHES Scientific Writing (.pdf) (.ppt)

• How to make a good presentation (.pdf) (.doc)
• How to make a good presentation (slides) (.pdf) (.ppt)

Thanks to Dr. Gil Pontius

San Diego is a great place for tourists! One big reason is its nice Mediterranean climate. Also San Diego is famous for its rich natural and cultural heritage. Thanks to all CHES members, the follwing list is available:

• San Diego Zoo (annual pass accepted)
• SeaWorld San Diego (annual pass accepted)
• San Diego Zoo Safari Park (also called San Diego Wildlife Park)
• Balboa Park
• Cabrillo National Monument (national park annual pass accepted)
• Mission Trails Regional Park (a place good for hiking)
• Mission Bay Beaches (a place good for beach sightseeing)
• La Jolla Shores (another good place for beach sightseeing)

Mapping and Disentangling Human Decisions In Complex Human-Nature Systems

(Symposium in 2011 AAAS Annual Meeting)

Symposium Abstract: Many coupled human-nature systems are characterized by complexities such as nonlinearities and heterogeneity. Less is known about how human decisions are made to affect such systems. This symposium, which incorporates case studies in three Asian national reserves/parks, centers on generalizing characteristics, driving forces, and related methodologies for understanding human decision-making and its consequences. Using social surveys, fieldwork, and different modeling approaches (e.g., agent-based modeling), three junior researchers explore how social norms and the hierarchical structure of human organizations or decisions may feed back into each other and affect human resource–utilization decisions, thus affecting habitat dynamics of these species. After that, their mentors and a few well-established outside researchers present general theoretical reflections on what theories and methods can be used to tackle human decisions and how such decisions lead to system changes. Our purposeful intermix of researchers from different career stages, study sites, and backgrounds aims to better fertilize the study of complex human-nature systems.

Co-organizers: An L. & Aitken S.

Presenters:

• Aitken S. (Prof and Chair, SDSU Geography)
• An L. (Associate Prof, SDSU Geography)
• López-Carr D. (Associate Prof, UCSB)
• Chen X. (Postdoctoral Fellow, Harvard University)
• Wandersee S. (Doctoral student, SDSU)
• Zvoleff A. (Doctoral student, SDSU)

Discussant: Liu J. (Rachel Carson Chair & University Distinguished Professor at MSU)

Moderator: López-Carr D. (Moderator)

Please contact anli@complexities.org for access to these links

• CCFN 2016 Promotion Video
• CCFN 2017 Promotion Video

CNH2 Post Doc Files