Submissions close 9 Feb!
Quick guide: You will need to be able to answer these questions on the submittion portal:
- Are you submitting research or proposing a panel?
- What sort of work is it? Application, methods, data or position paper?
- Are you submitting a full paper (to be publised in Environmental Data Science) or an abstract?
Additional guidance:
Presentation formats
We welcome submission of your research for presentation at CI2024, and proposals for panel discussions!
Panel disucssion proposals
Panel discussions are best suited for emerging topics that are broadly relevant to the community and would benefit from inviting a diverse group (3-5) of practitioners to share their perspectives to provoke community discussion. Past panel topics include uncertainty and trust, enhancing the diversity of the community, and reproducibility.
You will be asked to provide an abstract, nominate panelists (3-5) and a moderator, and identify a format (in-person, remote or hybrid).
Submit your panel discussion proposal via Microsoft Conference Management Toolkit (CMT). All submissions should be made by 9 February 2024 (Anywhere on Earth).
Research submissions
Research submissions will be considered for presentation as posters and short talks. Keynote presenters will be nominated by the Organising committee and approved by the Steering Group.
The material submitted should relate directly to Climate Informatics as a topic. This can include algorithms with potential application in geosciences, or datasets and physical problems which pose a specific problem in geosciences. We particularly welcome submissions applying machine/deep learning and advanced statistics to a climate-related issue.
Submit your research via Microsoft Conference Management Toolkit (CMT). All submissions should be made by 9 February 2024 (Anywhere on Earth).
Research submission types
Aligned with the Environmental Data Science journal, where conference proceedings will be published, we invite submissions which fit into one of the four types:
- Application papers: Research progress, or tackling a real-world problem, in an environmental field, enabled by data science. For example, AI or data science could be used for understanding of climate applications, or improving forecasting tools.
- Methods papers: Novel data science methodology inspired by an environmental problem or application. Typically the methodology should be demonstrated in one or more climate applications.
- Data papers: Describe the development and utility of re-usable environmental data sets to support the advancement of climate informatics research (e.g., benchmarking data sets to support objective evaluation of data sciences methods). The data must reside in publicly accessible repositories. These papers promote data transparency and data reuse.
- Position papers: (For Full papers only) Examples include but are not limited to: a) providing an authoritative, personal view on the uptake or obstacles to AI and data science approaches for environmental problems, or b) exploring issues related to the use of environmental data, including ethical, legal and policy issues, as well as data standards, protocols and services.
You will be asked to identify the type of your submission in the submission portal.
Research submission tracks
We welcome submission of full papers and extended abstracts. Both tracks will be considered for posters and talks.
Full papers
Full papers should be no longer than 8 pages, not including references. Please prepare your submission using the templates below provided by Environmental Data Science (for more information, see the journal’s instructions for authors).
Extended abstracts
Extended abstracts should be no longer than 2 pages, not including references or figures (not required). You can present preliminary results.
Submission should contain sufficient information for the reviewer to determine the quality of the work, in the following three to four sections:
- Introduction: describing the motivation and background for the research.
- Methods: describing the methods used or developed and data used in this research.
- Results: providing a summary of results with sufficient detail for the reviewers to evaluate the merit of the submission.
- Discussion (not required) providing a summary of the implications and impact of this research, with sufficient detail for the reviewers to evaluate the merit of the submission.
No specific template is required for this submission. You are welcome to submit in a text format of your choosing.
Open Science Policy
Climate Informatics supports open science. We encourage authors to follow best practice in open science when conducting and reporting on their research.
We encourage all authors to submit their research with an accompanying project repository, for example on GitHub.
Please refer to the following guides from The Turing Way to prepaer your project repository:
Please do not hesitate to contact us if you would like to discuss this process.
Full paper authors should additionally strive to follow the Cambridge University Press Research Transparency Policy regarding the sharing of data and code.
Review and feedback
The papers will be reviewed by the combined organising committees. Decisions about acceptance will be communicated on or shortly after 26 February 2024.
Publication of conference proceedings
The accepted full papers will be considered for inclusion in an open-access, peer-reviewed special collection in the journal Environmental Data Science. We are grateful for the support of Cambridge University Press in delivering the conference proceedings of Climate Informatics.