Episode Summary

In this episode we talk to Kerstin Helbig about the research data management (RDM)project FDNext, which is also where our co-host Emma Harris' new role will be based. We discussed what the approach of FDNext is, the challenges of implementing effective RDM, and how it fits into the wider framework of Open and FAIR Data initiatives.

Episode Links

FDNext (German language)

FDMentor RDM Train-the-Trainer Concept

Kerstin Helbig

Emma Harris

Episode Summary

In this episode we talked about 'almighty' algorithms with Carlos Castillo, Lorenzo Porcaro, Marzieh Karimihaghighi, David Solans, and Francesco Fabbri from the Web Science & Social Computing Research Group, and the department of Engineering in Information & Communication Technologies, in Universitat Pompeu Fabra in Barcelona. We discussed how bias can enter into algorithm systems, how bias is measured, and what systems are impacted by it.

Episode Links

• Web Science and Social Computing Research Group
  • Carlos Castillo
  • Marzieh Karimihaghighi
  • David Solans
  • Francesco Fabbri
  • Lorenzo Porcaro

Episode Summary

In this episode we talk to Yo Yehudi and Malvika Sharan, two of the co-founders and organisers of the Open Life Science training and mentoring program. We discuss why mentorship and community are so important in encouraging open science, what makes the program unique, and what the future for Open Life Science.

Episode Links

• Open Life Science
• Malvika Sharan
  • Twitter
• Yo Yehudi
  • Twitter