Volunteers

To hear about volunteering roles sign up to our Get Involved newsletter, or check the FEMS Opportunities Board.

We are proud to work collectively with a growing community of microbiologists whose voluntary contributions are helping to put microbiology firmly on the map. We thank and acknowledge the following volunteers for the great work they have done so far in support of various business and science communication projects:

Translation Team

English is the universal language of science, yet to make a broader impact a local language is often more effective. We recruited a Team of volunteers speaking collectively more than 13 languages. Being all active scientists, they will make sure that no microbiology content will be ‘’lost in translation’’!

Example of material interesting to be translated into further languages is abstracts of papers, Wikipedia pages, blog entries, or video interviews with renowned microbiologists, and much more. Our volunteers in the Translation Team are thus able with their unique subject expertise and language skills to contribute to increasing literacy and education in microbiology through targeted outreaches.

If you want to contribute to the Team, either with regular contributions or with ad hoc tasks, or wish to get more information about the project, feel free to contact the Project Manager.

Wikipedian Taskforce

Wikipedia is making a huge impact in increasing the global knowledge pool, yet its relationship with academia and scholarly knowledge can be strained, and researchers are not rewarded for, motivated, or do not have the time to edit Wikipedia. Luckily, this is not true for our volunteers in the Wikipedia Team!

Volunteers edit and create pages on microbiology based on their unique skills and knowledge, thus increasing the corpus of knowledge on Wikipedia as active academic researchers. Being native in languages other than English, they often also translate pages in further languages. They are thus greatly contributing to increase quality, (scientific) accuracy of Wikipedia entries, and literacy in microbiology.

If you want to contribute to the Wikipedia Taskforce, either with regular contributions or with ad hoc tasks, or wish to get more information about the project, feel free to contact the Project Manager.

#OnThisDay project

The #OnThisDay project aims to assemble a collection of historically important microbiology events for every single day of the year. These events could be interesting discoveries, the dates of seminal scientific publications, the important moments in the lives of famous microbiologists, or anything that would pique the interest of the microbiology community! When fully compiled, this list of information will be digested into social media content for the purposes of science communication and public engagement. Contact joseph.shuttleworth@fems-microbiology.org to get involved.

The ALAM Translation Project

A team with the aim of translating abstracts into Spanish and Portuguese for a collection of recent, influential articles published by Latin American authors in our five journals to strengthen collaboration with ALAM (Asociación Latinoamericana de Microbiología a.k.a. Latin American Association of Microbiology) to create cross-continent synergies ahead of the upcoming ALAM Congress (Santiago de Chile, 13-16 Nov. 2018).

Journal Social Media Editors

A team with the aim of keeping our community up to date about the latest articles and collections from the FEMS Journals

Opportunities Board

Opportunities board team consists of three different taskforce: Events, Jobs, and fighting AMR. They have the aim to search and collect opportunities benificial for the microbiological community and collate them on our Opportunities Board.

 

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Applications of Mathematical Models

This Thematic Issue of Pathogens and Disease explores the applications of mathematical models. This issue has a particular focus on host-pathogen dynamics and population health applications, as well as the future of biomathematical modelling in terms of big data analytics. It features outstanding articles that outline next-generation approaches to this field by using advance software approaches with mathematical frameworks to tackle problems in epidemiology and infection treatment.

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