Speaker
Description
Developing, maintaining, and evolving the algorithms and
software implementations for HEP experiments will continue for many
decades. In particular, the HL-LHC will start collecting data 8 or
9 years from now, and then acquire data for at least another decade.
Building the necessary software requires a workforce with a mix of
HEP domain knowledge, advanced software skills, and strong connections
to other related disciplines. The investments to grow this workforce
must begin today. Several new efforts are working towards this goal, like
the IRIS-HEP software institute, the FIRST-HEP project and the HEP Software
Foundation. Past software training practices have largely been set of
individual and disconnected activities. The HEP community planning process
has established a coherent vision for software training as part of a larger
framework where researchers progress from acquiring basic skills training
through user training in existing software to training in skills needed to
development new research software. This presentation will articulate this
vision and describe recent efforts to enhance the sustainability, re-usability
and impact of the software training activities as well as related education
and outreach programs.
| Consider for promotion | Yes |
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