bpilorget

Results 4 issues of bpilorget

Aim 1: Improve the productivity of researchers in pure mathematics and applications by promoting collaborations based on mathematical software, data, and knowledge.

- Qualitative metrics: success stories, reported as blog posts.

KPI
Communication

Aim 3: Identify and promote best practices in computational mathematical research including: making results easily reproducible; producing reusable and easily accessible software; sharing data in a semantically sound way; exploiting and supporting the growing ecosystem of computational tools

- Qualitative metrics: success stories Example: Mike Croucher’s talk “Is your research software correct”, some research paper that showcases a range of best practices supported by ODK work (paper written...

KPI
Communication

Aim 4: Maximise sustainability and impact in mathematics, neighbouring fields, and scientific computing

- Qualitative metrics: success stories For example: Women in SAGE workshops; Use of JUPYTER, COCALC, etc. for teaching, at Sheffield, at the African Institute for Mathematical Sciences ; Stories about...

KPI
Communication

Aim 2: Make it easy for teams of researchers of any size to set up custom, collaborative Virtual Research Environments tailored to their specific needs, resources and workflows (...).

- Qualitative metrics: success stories about OpenDreamKit based VRE deployments (university-wide, Mathrice, EGI, Micromagnetics VRE, ...), and generally speaking adoption of OpenDreamKit’s components. - Quantitative metrics: - List of known...

KPI
Communication