Disaggregated sex and other demographic data in abstracts
Authors are encouraged to provide a breakdown of data by sex and other demographics, such as age, geographic region, race/ethnicity and/or other relevant demographic characteristics in submitted abstracts, when appropriate. Your abstract should include the number and percentage of men and women (and additional breakdown by gender, age and/or ethnicity if appropriate) who participated in your research or project. Results should be disaggregated by sex/gender and other relevant demographics. Analyses of any gender-based differences or any other differences between sub-populations should be provided in the Results or Lessons learned sections, if relevant.
Use a standard font, such as Arial, when formatting the text. This helps prevent special characters from getting lost when copying the text to the online abstract submission form. Ensure that you check the final abstract with the system’s preview function before submission, and edit or replace as necessary.
The abstract is limited to 350 words. Titles are limited to 30 words.
A maximum of two tables and/or graphs or images in total can be included. A graph or image (in JPG, GIF or PNG, ideally at least 600dpi) counts as 50 words and a table counts as five words per row (50 words maximum).
Common reasons for abstract rejection:
- Abstract poorly written
- Not enough new information
- Clear objective and/or hypothesis missing
- Methods (either quantitative or qualitative) inadequate and/or insufficient to support conclusions
- Summary of essential results inadequate and/or missing
- Study conclusions not supported by the data
- Linkage between different parts of the abstract not comprehensible
- Duplicate or overlap with another abstract
- Study too preliminary or insufficient to draw conclusions
- Study lacks originality.
Abstracts should disclose primary findings and avoid, whenever possible, promissory statements, such as “experiments are in progress” or “results/lessons learned will be discussed”.
If English is not your native language, have your abstract reviewed by a native English speaker before submission.
The IAS offers an Abstract Mentor Programme for less experienced submitters. Please see further information below.
After submission of the abstract, a confirmation email will be sent to the abstract submitter. In order to receive confirmation, please ensure that emails from [email protected] are not marked as spam by your email provider.