Data & Tech for All Week


A week of events democratizing data science and technology at Berkeley and beyond

Throughout campus, initiatives are underway to bring a variety of experiences, perspectives, knowledge, and talent to data science, computer science, statistics, and related technical fields. At the inaugural Data & Tech for All Week, from March 4-8, we invite you to join us in celebrating this work across campus.

MONDAY, March 4 

Women in Data Science (WiDS) 2019 Berkeley Satellite Conference: I- School

The Global Women in Data Science (WiDS) Conference aims to inspire and educate data scientists worldwide, of all genders, and support women in the field. The School of Information will stream the conference and hold related events throughout the day.

Panel: Women in Machine Learning
Featuring Michelle Carney, Machine Learning Specialist and UX Designer, Amazon Founder, Machine Learning and User Experience Meetup Machine learning instructor, Stanford; and Dr. Jen Jen Chen, Physician Data Scientist at Curai, Berkeley MIDS 2018. Additional panelist(s) TBA

Time: 12:10 - 1:00 PM
Location: 202 South Hall
Sponsor: School of Information

Tech Talk: The Myth of the Self-Taught Programmer
Featuring Dr. Morgan Ames, Lecturer and postdoctoral scholar, UC Berkeley School of Information

Time: 3:15 - 3:45 PM
Location: Webinar, see registration information below.
Sponsor: School of Information

Tech Talk: The Building Blocks of Gender Equality: Health, Education, and Employment
Featuring Anna Jacobson, Senior Preconstruction Manager, Morley Builders, Berkeley MIDS student, Winner of Google Cloud's Visualize 2030 contest

Time: 3:45 - 4:15 PM
Location: Webinar, see registration information below.
Sponsor: School of Information. Click here to register.

TUESDAY, March 5 

D-Lab Open House and Panel Discussion on Hate Speech and Sexism 

D-Lab, which provides support and resources for data-intensive social science research, welcomes all members of the campus community for a light lunch and short presentation on D-Lab instructional support services and how these embody our community philosophy of IOKN2K: it's ok not to know. The lunch will be followed by a panel discussion from 1 - 2 pm on hate speech and sexism led by D-Lab Executive Director Claudia von Vacano.

Time: Noon - 2 PM
Location: D-Lab, 356 Barrows Hall
Sponsor: D-Lab

Wikipedia Edit-a-Thon

Art+Feminism teams up with Race+Justice! All day communal updating of Wikipedia entries. Wikimedia’s race and gender trouble is well-documented. While the reasons for the gap are up for debate, the practical effect of this disparity is not: content is skewed by the lack of participation by women and underrepresented groups. This adds up to an alarming absence in an important repository of shared knowledge. Let's change that. Tutorials for the beginner Wikipedian, reference materials, and refreshments provided. Brief trainings take place every hour on the hour. Refreshments will be provided. RSVP appreciated.

Time: Noon - 5 PM
Location: Moffitt 405
Sponsors: UC Berkeley Library, American Cultures Center, D-Lab, DH at Berkeley, Berkeley Center for New Media

Data-intensive Research for Undergraduates

This event will focus on how underrepresented undergraduates can get involved in data science research at UC Berkeley, and how they can incorporate data science into their fields of research. It is part of a series of events to foster diverse and inclusive data science at Berkeley. Events include keynote talks, panel discussions, roundtable q&a sessions, and networking opportunities to encourage undergraduate students of diverse and underrepresented backgrounds to explore a potential future in data science and data-intensive research.

Time: 3:30 - 8 PM
Location: Berkeley Institute for Data Science, 190 Doe Library
Sponsor: BIDS


CITRIS Research Exchange with Katherine Yelick, Berkeley Professor of EECS and Associate Laboratory Director for Computing Sciences

Katherine Yelick is a Professor of Electrical Engineering and Computer Sciences at the University of California at Berkeley and the Associate Laboratory Director for Computing Sciences at Lawrence Berkeley National Laboratory. Her research is in programming languages, compilers, parallel algorithms, and automatic performance tuning.

Time: Noon - 1 PM
Location: Banatao Auditorium, Sutardja Dai Hall
Sponsor: CITRIS

THURSDAY,  March 7 

Using Digital Learning Platforms for Data Science Education for All

Part of a series of workshops exploring data science concepts, pedagogical methods, and technical tools, and how to integrate them into teaching in a range of disciplines, from American Cultures to Psychology to Rhetoric.

Time: Noon - 1:30 PM
Location: Academic Innovation Studio, 117 Dwinelle Hall
Sponsor: Division of Data Sciences

FRIDAY, March 8 

Spanish-language Software Carpentry: Introducción a R y Git

Los temas de este workshop serian programación en R y el uso de Git para control de versiones y colaboración entre equipos de investigación. El workshop sería impartido en español.

La conducción del seminario se realiza con base a ejemplos y desarrolla habilidades computacionales básicas e intermedias. Las lecciones se combinan con ejercicios prácticos, y es deseable que los participantes apliquen los conocimientos en sus proyectos de investigación.

Este evento ocurre desde las 9am hasta la 1pm el día viernes, 8 de marzo 2019 (PST). Participación se ofrece presencial o remoto; quienes desean participar remotamente, por favor indicar al momento de reservar. Es requisito registrarse para participar.

Time: 9 AM - 1 PM
Location: Berkeley Institute for Data Science, 190 Doe Library or online. Register here.
Sponsor: BIDS

Women in Tech: The Future of AI

Symposium highlighting the experiences of women in AI and exploring our collective future. The event will also feature the WITI@UC Athena Awards recognizing those who have championed the advancement of women in technology.

Time: 11 AM - 5 PM
Location: Sibley Auditorium, Bechtel Engineering. Registration required.
Sponsors: Women in Technology Initiative, CITRIS, College of Engineering


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WiDS Data Collaboration Day


Download DataTech4All flyer.