The ELIXIR Forum Programme Committee is now welcoming submissions from industry and academia in areas connecting the different components of the learning ecosystem of health.


Abstract submissions

The ELIXIR Forum scheduled on 13 September will discuss solutions connecting the different components of the Learning Ecosystem of Health, involving start-ups, SMEs, as well as large companies and academia in areas related to: 

  • Health data collection technologies (hardware and software) focusing on healthy citizens and/or patients in post-treatment phase; 
  • Data management; 
  • Research or data integration & analysis;
  • Converting learnings into healthcare guidelines/policies.

Submitted abstracts will be reviewed and selected for presentation by the Programme Committee.

Important dates

  • 4 March 2021 - Call for abstracts opens
  • 16 April 2021 - Call for abstracts closes
  • May 2021 - Abstract acceptance notification
  • 13 September 2021 - Presentation at [BC]2

Abstract structure

Abstracts have to be submitted via the online submission system. All abstracts must be presented in English and should not exceed 400 words. Abstracts can be saved and modified, but no modifications are possible after having submitted your abstract or the submission deadline.

When writing your abstract, you will be invited to clearly describe all of the following:

  • your research, services and/or solutions;
  • the domain you are operating in - in addition, you will be asked to choose a maximum of three predefined keywords to position your proposed topic in the ecosystem;
  • the challenges and hurdles you may have encountered. 

Make sure you read the tips on abstract writing (box below) to make sure you put all the odds on your side when submitting!

To judge abstracts, the Programme Committee will take the following aspects (among others) into consideration:

  1. the real-word applicability and translation capacity;
  2. the leveraging of existing data and data sharing;
  3. the contribution to overcoming current challenges and bottlenecks.

1. A clear structure

Keeping the structure of your abstract clear and simple will make it easier both for reviewers and participants to understand your research. Your abstract should contain:

  • an opening (2-3 sentences) to introduce your topic;
  • your hypothesis (1-2 sentences);
  • methods and results (4-6 sentences) describing how you addressed your hypothesis;
  • a conclusion (1-2 sentences) summarising your discoveries.

2. Less is more

How often have you stumbled across an abstract that was too long and detailed to read? Don’t make the same mistake! Describe only one or two key results of research, there is no need to go into all the details and to exhaust the provided word limit.

3. Choose the right words

Use common everyday words as much as possible: reviewers and participants come from different scientific and linguistic backgrounds and may not be familiar with technical details, acronyms or field-specific jargon. E.g. replace long words with shorter ones (methodology -> methods), and simplify words and expressions whenever possible (employ -> use, or in order to -> to).

4. Don’t exaggerate

Avoid too many adjectives and stick to a neutral language: reviewers are generally allergic to claims such as the research is of tremendous impact for the well-being of all future generations. Simply saying that your results may positively impact the health of future generations may be closer to reality =)

5. Get active

Use active voice over passive! The passive sentence An analysis to simulate the impact of temperature on protein folding was conducted is more difficult to read than its active version We simulated the impact of temperature on protein folding.

The same holds true for nouns and verbs: An increase in folding speed was observed for proteins at higher temperatures is more complicated (and longer) than Folding speed increased at higher temperatures.

6. Choose the right keywords

To better understand your abstract, reviewers and participants will focus on keywords. Integrate some common vocabulary and keywords to guide them: e.g. if you are working on next-generation sequencing technologies - then say it! - and don’t mumble around new methods to sequence DNA.

7. Get feedback

Share your abstract with colleagues and friends outside your academic field: if the abstract is well structured and clearly written, they will understand the key message - judging its scientific quality and relevance for the conference is only a second step and will be done by the reviewers.