callysto | James Colliander

Open Toolchain

Fri, 27 Aug 2021 10:00:00 +0000

Open Toolchain

Fri, 27 Aug 2021 00:00:00 +0000

`Open Toolchain`

Canadian Open Data Society Board meeting

2021-08-27

Idea

People, with the right data, tools and resources, can do good things working together.

James Colliander

Professor of Mathematics: UBC
Cofounder: 2i2c, Callysto, Syzygy, Crowdmark
Past Director (2016-2021): PIMS

Background

PIMS: Distributed Mathematical Sciences Institute

Inspirations

Data 8 at Berkeley

Partners

Idea: Jupyter for 🇨🇦

Development History

gantt
title Timeline
section Syzygy
23 universities, 10 research teams: 2020-02-25, 25d
40,000 users : 2021-08-15, 25d
25,000 users : 2020-01-01, 25d
16,000 users : 2019-08-22, 25d
8,000 users : 2017-08-24, 25d
Syzygy service announcement : 2017-03-15, 25d
PIMS + Compute Canada Agreement : 2016-06-02, 25d
Compute Canada Discussions : 2015-12-03, 2016-06-01
Jessica Hamrick's Post : 2015-03-24, 25d
JupyterHub for 🇨🇦 idea : 2015-02-01, 90d
section Callysto
CanCode 2.0 🇨🇦 $1.5M : 2019-10-15, 25d
Callysto content creation : 2018-05-01, 2018-08-31
CanCode 1.0 🇨🇦 $1.5M : 2018-01-30, 25d
Callysto Launched: 2017-10-01, 25d

Examples

Lessons Learned

Research and education transforming
Demand can be met with cloud strategy
Scaling requires infrastructure

Sustainable business model?

`2i2c`

International Interactive Computing Collaboration

Syzygy, Callysto and 2i2c

Tue, 25 Feb 2020 23:00:00 +0000

Communities of practice for Jupyter deployments on shared infrastructure

Thu, 07 Nov 2019 14:00:27 +0000

Canadians Land on Jupyter

Tue, 11 Jul 2017 17:00:00 +0000

The proliferation of mobile devices, social networks and sensor networks, the massive data streams they generate, and increasing computational power generate research challenges and provoke widespread interest in mathematical sciences expertise and insight. Democratizing access to this expertise and insight catalyzes meaningful change. Higher education institutions are launching interdisciplinary programs in digital humanities, data science, scientific computation, mathematical modeling, bioinformatics and epigentics to address these challenges. To achieve success, these programs require easy access to state-of-the-art computing environments to support research, teaching and training activities.

The Pacific Institute for the Mathematical Sciences (PIMS), in partnership with Compute Canada and Cybera, launched a cloud-hosted scientific computing and data science platform for Canada. The service, syzygy.ca, delivers Jupyter to faculty, staff and students at Canada’s universities using single-sign-on (SSO) via their university user account. By eliminating the requirement to install customized software on personal computers, syzygy.ca makes it easier for research teams to collaborate using the right tools for their investigations. The platform delivers an interactive coding environment for literate programming in Python 2, Python 3, R (and sometimes Julia, Octav, Sage and other languages).

The data8 program at Berkeley, the open source quantitative economics course, and computational fluid dynamics course are inspirational examples showcasing the potential for Jupyter. PIMS is leveraging syzygy.ca and other tools to develop expertise in scientific computing, data science, machine intelligence, optimization, etc.

Jupyter service is available today at several universites (UBC, SFU, UofT, Waterloo, Queen’s, Victoria, Saskatchewan, Manitoba, Calgary, Lethbridge). A few hubs have been deployed that can be accessed using other identity authentication providers (Google OAuth; GitHub; GitHub Enterprise). Colleges, universities, and other prospective partners can request Jupyter service via syzygy.ca by clicking here.

PIMS developed some support resources: e-book introduction; Discourse forum.

The platform has been used for seminars on Python and Git, machine learning with SciKit Learn, neural networks and deep learning, undergraduate courses on mathematical computing, computer science, and statistics, and graduate courses on mathematical modeling for industry, seismic inverse problems, and computational finance.

Academy-industry partnerships are forming to investigate data science challenges arising in business through a workshop built atop syzygy.ca.

The syzygy.ca platform democratizes access to digital research infrastructure. PIMS and our partners advance Canada’s research capacity by connecting human talent to curated tools from the mathematical sciences, diverse data sources, excellent documentation and training programs.

callysto | James Colliander

Open Toolchain

Open Toolchain

Open Toolchain

Idea

James Colliander

Background

PIMS: Distributed Mathematical Sciences Institute

Inspirations

Jessica Hamrick’s Post

Data 8 at Berkeley

Partners

Idea: Jupyter for 🇨🇦

Development History

Examples

Lessons Learned

Sustainable business model?

2i2c

Syzygy, Callysto and 2i2c

Communities of practice for Jupyter deployments on shared infrastructure

Canadians Land on Jupyter

`Open Toolchain`

`2i2c`