4 Projects awarded funding within First Training Open Call

Within the 1st EOSC-Life Training Open Call, four proposals have been awarded and training will be developed in the coming weeks. We are pleased to announce the following successful proposals:

1. Teaching researchers and clinicians how to share COVID-19-related data and software

The webinar & tutorial series is aimed at raising awareness in researchers, clinicians, and technicians who produce data and develop or use software related to COVID-19 about the outstanding importance of sharing data and software rapidly and openly. 

RIs currently involved: ELIXIR, RDA

2. Open Life Science: Mentoring and Training opportunities for EOSC Research Infrastructures

Open Life Science (OLS) is a 16-week long personal mentorship and cohort-based training for individuals who would like to develop and lead Open Research projects in their communities. OLS will open a call for mentors and project leads from EOSC RIs for their third cohort, which is expected to take place from February-May 2021. In each cohort, the participants of this program will:

• share their expertise and gain knowledge essential to create, lead, and sustain an Open Science project
• connect with members across different projects, communities, backgrounds, and identities
• empower each other to become effective Open Science ambassadors in their communities

For more information, please contact the OLS team (team@openlifesci.org) or join their public mailing list to receive updates.

RIs currently involved: ELIXIR, Open Life Science

3. Learn how to compose and execute repeatable and reproducible modelling workflow with FATES for improving climate models

This course is aimed at field ecologists, environmental scientists, climate modellers and biologists interested in improving climate models by better representing terrestrial ecosystems. FATES is a numerical terrestrial ecosystem model for use in Earth System Models (ESM) that simulates and predicts growth, death, and regeneration of plants and subsequent tree size distributions.  Participants will learn about climate modelling as well as how to use the Galaxy Climate JupyterLab for running FATES experiments and compare those with observational data.

RIs currently involved: ELIXIR, Sigma2

4. Learning to use, assess and modify a model of the COVID-19 epidemics for evaluating public health policies

This course is for anyone with an analytical mindset interested in the usefulness and meaning of modelling of the Corona pandemic. It will enable participants to make predictions using a pre-existing systems biology model.  They can hereby address What-If questions on issues like alternative governmental intervention strategies, the effect of mouth caps, and accelerated testing and vaccination, in various phases of the pandemic.  Participants will be taught in groups corresponding to their prior mathematics experience (from non- to expert).

RIs currently involved: ISBE,  ELIXIR

Interested in getting involved? Check out the 2nd Training Open Call, deadline 13 Nov 2020!