Do you have a data story to tell but need help broadening your audience? Do you wish you had some time and support to exercise the creative side of your data-loving brain?
On May 27 and 28th, the Data Science by Design (DSxD) initiative is hosting a two-day conference (5 hours/day) to convene data enthusiasts of all kinds as they use and develop creative mediums to communicate data-related work and establish new collaborations across domains.
Participants will learn about a variety of creative processes, storytelling techniques and design exercises that facilitate creating and creative data-related projects. The event will feature expert storytellers, creators, and designers, and to learn about how they:
- brainstorm and find inspiration,
- get started bringing an idea to life,
- continue to make progress and refine an idea,
- pitch ideas to get buy-in from others, and
- share their final products with a broad audience.
The goal of the event will be to generate ideas and thinking around resources and support that may be needed from this new creator community, and to bring them to fruition. The Creator Conference’s role is to kick off the eventual creation of personal essays, drawings, explainers, or how-to guides on research best practices, findings, methodology, or even work culture.
All career stages — students, educators, researchers, designers, artists, analysts, engineers, or any other identifiers — are welcome and encouraged to attend. Everyone is welcome. The organizers of Data Science by Design are committed to fostering a supportive community among participants. One of their priorities for this event is to increase the amount of people who see themselves in data-related fields. Therefore, applications from women and other underrepresented genders, people of color, people who are LGBTQ, people with disabilities or any other underrepresented minorities in data-related fields are strongly encouraged. To ensure an inclusive experience for everyone who participates, the group follows this code of conduct.
Apply to attend: Attendees are invited to "come with ideas" and applications can feature creative mediums (e.g., a page of illustrations). Each applicant is asked to submit, in English, (1) your full name (2) your email address and (3) a short application that responds to at least two of the following:
- Pitch us: What project are you already working on OR would you love to work on, given the time and resources, at the intersection of data science and the creative arts?
- Share with us: Are there two examples of work at the intersection of data science and the creative arts that inspire/motivate/excite you? Please include links or references, where applicable.
- Think with us: What would your goals be coming out of this experience? What are the contributions you feel you’re best placed to make to enrich the experience of other participants?
BIDS Biodiversity and Environmental Sciences Lead Ciera Martinez focuses on data intensive research projects that aim to understand how life on this planet evolves in reaction to the environment and climate – especially projects involving large and complex datasets. A long-time open science advocate, Ciera has been involved with and continues to be interested in working on training for open data, education, publishing, and software, including developing community standards for data management practices. As a 2019 Mozilla Open Science Fellow, she connected her love of data and museums and worked on projects aimed at understanding and increasing the usability of biodiversity and natural history museum data. She received her PhD in Plant Biology from UC Davis, researching the genetic mechanisms regulating plant architecture. She then went on to become a NSF Postdoctoral Fellow at UC Berkeley in the Molecular and Cellular Biology Department, studying genome evolution. She was also a BIDS postdoctoral Data Science Fellow for 3 years, working on undergraduate research practices, data science training, community development, and best practices for data science, diversity and inclusion, and computational research.
Former BIDS Data Science Fellow Sara Stoudt is a lecturer in the Statistical & Data Sciences Program at Smith College. At UC Berkeley, she was a PhD student in Statistics advised by Professors Will Fithian and Perry de Valpine. Her research interests included ecological applications of statistics and assessing the identifiability and robustness of inference under model misspecification in species distribution models. She was also involved in teaching writing for statistics with Professor Deborah Nolan. Prior to being a BIDS Fellow, Sara was supported by a National Physical Sciences Consortium Fellowship with the National Institute of Standards and Technology and was part of the Data Science for the 21st Century: Environment and Society Training Program. Sara graduated with a BA in Mathematics and Statistics from Smith College.
Váleri N. Vásquez is a PhD student with the Energy and Resources Group, a Moore/Sloan Fellow at the Berkeley Institute for Data Science, and a former research scholar in the Renewable and Appropriate Energy Laboratory. Váleri’s research interests include the use of computational models to examine the environmental drivers and economic impacts of infectious diseases. She is currently studying questions relevant to the use of gene drive systems for malarial control. Prior to graduate school, Váleri focused on international and domestic climate change issues at the U.S. Department of State, the Center for American Progress, and the White House Council on Environmental Quality. She holds an MS from the University of California, Berkeley and a BA from the College of William and Mary.