Welcome to the 28th PyData Cambridge virtual meetup!

This is a virtual meetup. We will use zoom, login details published closer to the date.

Thanks a lot to our sponsors: NumFOCUS, Arm, fetch.ai and the Raspberry Pi foundation.

Agenda

19:00 - Introduction
19:15 - "Optimal Benchmarks and other failures" - Vincent Warmerdam
19:45 - Interval
19:50 - "The Global Alliance for Genomics and Health (GA4GH) " - Alexander Senf
20:20 - End
Note: this meetup will be recorded.

Code of Conduct

PyData is dedicated to providing a harassment-free event experience for everyone, regardless of gender, sexual orientation, gender identity, and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of participants in any form.

The PyData Code of Conduct governs this meetup. ( http://pydata.org/code-of-conduct.html ) To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact NumFOCUS Executive Director Leah Silen (leah@numfocus.org) or organizers.

Talk 1

Title: Optimal Benchmarks, and other Failures.

Abstract:
In this talk I’d like to do three things.

1. Demonstrate how I like to do benchmarks on text classification tasks memo (nifty tool for stat logging) and whatlies (makes many language embeddings models available in sklearn).
2. Demonstrate how tools are not the problem when doing benchmarks.
3. There’s also going to be a small announcement! I’m working on a new tool that might help out.

Talk 2

Title:
The Global Alliance for Genomics and Health (GA4GH) - An introduction to a policy-framing and technical standards-setting organization, seeking to enable responsible genomic data sharing within a human rights framework.

Abstract:
The GA4GH was formed at a time when it became evident that the sharing of genomic and health-related data for biomedical research was of key importance in ensuring continued progress in our understanding of human health and wellbeing. The founding principles of GA4GH’s Framework seek to activate the right of everyone to share in scientific advancement and its benefits as outlined in the Universal Declaration of Human Rights, 1948 (article 27). This right to benefit was made legally actionable in the 1976 International Covenant on Economic, Social and Cultural Rights (United Nations OHCHR 1976). One hundred and sixty-seven countries have signed and ratified this Covenant.

The GA4GH today is addressing many areas relevant for handling and sharing genomic data. It tries to be guided both by what is useful to daily work in the field, as well as cover areas where workable standards are lacking. It is very open, encouraging everyone who is interested to participate, there is no need to formally join. This talk will introduce the way the GA4GA works, look at active projects, (Python) code, and ways to become involved.