[Colloquium] [CDAC] October 8th: Fernando Pérez (UC Berkeley, Project Jupyter)

Rob Mitchum rmitchum at uchicago.edu
Wed Sep 18 14:19:12 CDT 2019


[image: CDAC] <https://cdac.uchicago.edu/> [image: Announcement]

*Please join us October 8th as we begin our Fall Distinguished Speaker
Series <http://cdac.uchicago.edu/events> with Fernando Pérez, associate
professor in Statistics at UC Berkeley, creator of IPython and co-founder
of Project Jupyter.*
CDAC DISTINGUISHED SPEAKER SERIES Scientific Open Source Software: meat and
bits but not papers. Is it real work?Tuesday, October 8, 2019 · 12:30-1:30pm
Room 390, John Crerar Library Building, 5730 S. Ellis Avenue

Open source software is now the backbone of computation across the sciences
and increasingly education. Yet the creation of scientific software is not
well recognized as part of the enterprise of science in terms of training,
career paths, intellectual recognition, organizational support, or funding.
In this talk, I’ll explore the challenges of this contradictory situation,
from the perspective of someone who has spent almost 20 years building open
source software and communities. I have lived (often precariously) a dual
life of “real academic” and of open source developer and advocate, working
on IPython, Project Jupyter and the Scientific Python ecosystem since 2001.

I will provide an overview of Project Jupyter, including its intellectual
core, the open source community context that surrounds it, and some of its
impact. This will help frame the second part of the talk, where I’ll try to
open a conversation on the social and organizational challenges of creating
and sustaining open, collaborative communities in the structure of research
and education. The scientific, technical and community dynamics of projects
like Jupyter presents interesting challenges in the context of traditional
scientific incentives (funding, publishing, hiring and promotion, etc.)
I’ll briefly outline some of these but will mostly focus on some ideas that
I hope can move the conversation forward in productive ways.

*NOTE: Pérez will also host a students-only roundtable in in Crerar 390 on
Monday, October 7th, at 5:00 p.m. We expect a capacity crowd for both
events, so RSVP is required.*
RSVP Here <http://cdac-uchicago.eventbrite.com/>
*Fernando Pérez*
Associate Professor in Statistics, UC Berkeley
Faculty Scientist, Lawrence Berkeley National Laboratory

Fernando Pérez is an associate professor in Statistics at UC Berkeley and a
Faculty Scientist in the Department of Data Science and Technology at
Lawrence Berkeley National Laboratory. After completing a PhD in particle
physics at the University of Colorado at Boulder, his postdoctoral research
in applied mathematics centered on the development of fast algorithms for
the solution of partial differential equations.  Today, his research
focuses on creating tools for modern computational research and data
science across domain disciplines, with an emphasis on high-level
languages, interactive and literate computing, and reproducible research.
He created IPython while a graduate student in 2001 and co-founded its
successor, Project Jupyter. The Jupyter team collaborates openly to create
the next generation of tools for human-driven computational exploration,
data analysis, scientific insight and education.

He is a National Academy of Science Kavli Frontiers of Science Fellow and a
Senior Fellow and founding co-investigator of the Berkeley Institute for
Data Science.  He is a co-founder of the NumFOCUS Foundation, and a member
of the Python Software Foundation. He is a recipient of the 2012 FSF Award
for the Advancement of Free Software, and of the 2017 ACM Software System
Award.
Bio Link <https://bids.berkeley.edu/people/fernando-p%C3%A9rez>
[image: CDAC UChicago]

CDAC is the incubator for new multidisciplinary data science and artificial
intelligence research at the University of Chicago. We catalyze new
discoveries by fusing fundamental and applied research with real-world
applications.


-- 
*Rob Mitchum*

*Associate Director of Communications for Data Science and Computing*
*University of Chicago*
*rmitchum at uchicago.edu <rmitchum at ci.uchicago.edu>*
*773-484-9890*
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