Publication

Call for Submissions: ” Big Earth Data for Climate Studies”

A Special Issue of The Journal of Remote Sensing

The recent advancement of big data analytics on new observing systems for collecting data, machine learning and new computing architecture for enabling analytics and transfer/interpretive learning for bridging the traditional geophysical modeling and machine learning. This Special Issue invites research, review, vision and case study papers on the use of advanced computing techniques, cutting-edge big data analytics, machine learning methods, and any new tools to understand various dimensions of climate change from regional to global scale. Topics include, but are not limited to, the following:

  • Big Earth data collection for climate change;
  • Preprocessing for analytical-ready data;
  • Big Earth data management in a FAIR fashion (find, access, interoperability, and replicable);
  • Geospatial data processing;
  • Geophysical simulation based on big data;
  • Big data visualization and presentation for decision support;
  • Building digital twins with big Earth data;
  • Open source for climate change;
  • New computing methods for climate change;
  • Climate change use cases, such as sea level rise, sea ice change, global warming, flooding, wildfire, hurricane, drought, etc.;
  • Climate justice – impacts of climate change due to rising sea levels, sunken islands, climate refugees, urban heat island, air quality, health effects, fires, etc.

Guest Editors:

  • Prof. Dr. Chaowei Yang, George Mason University
  • Dr. Daniel Q. Duffy, NASA

Manuscript Submission Information

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. Please visit the Instructions for Authors page before submitting a manuscript.

The Article Processing Charge (APC) for this special issue will be waived for the papers submitted to the symposium, which is a saving of 2700 CHF (Swiss Francs). For more information about submission, please visit https://www.mdpi.com/journal/remotesensing/special_issues/K5OCX36907.

Deadline for Submissions: November 30, 2024

Call for Submissions: “Replicability and Reproducibility of Geospatial Artificial Intelligence (GeoAI) Models and Their Application in Social Science”

A Special Issue of The Journal of Urban Informatics 

This special issue aims to delve into the burgeoning field of GeoAI, focusing on its applications in social sciences. We are particularly interested in contributions that examine the replicability and reproducibility of GeoAI models, shedding light on their effectiveness and dependability in social science research. Our goal is to foster interdisciplinary dialogue, bridging theoretical and empirical approaches in the realm of GeoAI. We welcome submissions that demonstrate how GeoAI models can be used to tackle complex issues in social science research.

The potential submissions should critically analyze the application of GeoAI in various social science disciplines, including sociology, economics, political science, human geography, and more. Papers that utilize innovative methodologies, offer novel theoretical insights, or present case studies demonstrating the application of GeoAI in real-world social science research with replicable data and code are particularly encouraged.

In addition to regular research papers, we welcome a variety of scholarly contributions related to GeoAI in social science. These include talk summaries, discussion collections, and opinions, submitted in the formats of review papers, perspective papers, or commentary articles. The topics may include:

  • GeoAI Model applications in social science research
  • Theoretical discussions on GeoAI’s role in understanding social phenomena
  • Methodological advancements in GeoAI for social science
  • Reviews of trends and future directions in GeoAI and social science
  • Cross-disciplinary approaches involving GeoAI and fields like sociology, economics, or political science
  • Ethical considerations in using GeoAI in social science
  • GeoAI used in the education of social science
  • GeoAI integrating with ChatGPT, Generative AI and other large language models (LLM) in social science

Special Requirements for GeoAI Model Papers

For submissions focusing on GeoAI models, authors are required to provide:

Data: Original or sample data from the study;

Workflow: Executable workflows based on code of Python, R, or KNIME workflows that can be replicable in future studies. 

These materials are crucial for ensuring the replicability and reproducibility of the research.

Submission Process:

Manuscripts should be submitted through the journal’s online system (www.editorialmanager.com/uinf/default.aspx). Please select this special issue in the “Additional Information” section during submission.

The Article Processing Charge (APC) for this special issue will be waived for the papers submitted to the symposium.

Deadline for Submissions: December 30, 2024

See also: Conference

Call for Submissions: “Earth Observation and GeoAI for Social Science”

A Special Issue of Big Earth Data

GeoAI combines Geographic Information Systems (GIS) with Artificial Intelligence (AI), enabling social scientists to analyze spatial data with unprecedented accuracy and depth, while earth observation data have important strengths for social sciences as an important data source to quantify the change of urban space, human settlement, and economic development. 

The importance of earth observations and GeoAI in social science lies in its ability to reveal the complex relationship between human behaviors and environment or even its causality and mechanism, enhance our understanding of spatial dimensions of social issues, improve policy-making, foster interdisciplinary collaboration, and drive technological advancements to be human-centered and resolve problems linking to population, community and society as a whole. The advances of GeoAI algorithms enable researchers to explore the confounders lying underneath the complexity of human-environment interaction. By leveraging the strengths of both GIS and AI, social scientists can address complex societal challenges more effectively and contribute to more informed and equitable decision-making processes.

This Article Collection invites original articles, review articles, data articles, and technical notes (all submissions are required to provide sharable datasets, codes, algorithms packages, workflow and software tools, publicly accessible by readers).

The main topic of “Earth Observation and GeoAI for Social Science” includes the two categories of subtopics as below:

Technical subtopics (earth observation data usage as the essential in the research design):

  • GeoAI technical advances
  • Generative GeoAI including ChatGPT, and other types of large language models
  • GeoAI modeling and algorithms
  • Machine learning, deep learning and neural network
  • Natural language processing
  • Computer vision
  • Global and local models
  • Remote sensing and GeoAI
  • Earth observation data used in GeoAI

Disciplinary subtopics:

  • Computation social science
  • Human Geography
  • Urban Geography

­­All manuscripts submitted to this Article Collection will undergo a full peer-review; the Guest Advisor(s) for this Collection will not be handling the manuscripts (unless they are an Editorial Board member).

The Article Processing Charge (APC) for this special issue will be waived for the papers submitted to the symposium.

The deadline for submitting manuscripts is 1 April 2025.