A community conference for data makers everywhere
Featuring stories about data sharing and data analysis from science, journalism, government, and open source.
csv,conf brings diverse groups together to discuss data topics, and features stories about data sharing and data analysis from science, journalism, government, and open source.
People who love data
csv,conf is a non-profit community conference run by folks who really love data and sharing knowledge. If you are as passionate about data and its application to society as we are, then this is the conference for you.
Big and small
csv,conf conferences aren't just about spreadsheets. We curate content on broader topics like advancing the art of data collaboration- from putting your data on GitHub, to producing meaningful insight by running large scale distributed processing on a cluster.
Alix Dunn works as a consultant and advisor to organisations big and small, across sectors. She has extensive experience facilitating diverse groups to tackle complex data and technology challenges, and to advance a shared understanding of how technology can and should shape our world. Her consulting firm Computer Says Maybe works with the private sector to build decision-making infrastructure for socially beneficial deployment of emerging technology. She also works with global philanthropic institutions to shape strategic investment in technology and to anticipate the impact that technology can and will have on society. She is a fellow at the Stanford Center on Philanthropy and Civil Society. She sits on the Technology Advisory Board of the International Criminal Court, the Advisory Board of the Human Rights Initiative at Open Society Foundations, the Advisory Council of the Open Technology Fund, and the boards of the Ada Lovelace Institute at the Nuffield Foundation, Syrian Archive, and Open Data Kosovo. She co-founded and directed The Engine Room, a leading non-profit organisation leveraging data and technology to make the world a better place. You can find out more about her work at www.alixdunn.com.
Dr. Kari L. Jordan
Dr. Kari L. Jordan studied mechanical engineering at Michigan Technological University. Her doctoral research explored self-efficacy of underrepresented engineering students. After completing a post-doc in the Engineering Fundamentals Department at Embry-Riddle Aeronautical University, she was hired to lead Data Carpentry’s Assessment Efforts. She currently serves as Senior Director of Equity and Assessment for The Carpentries. In this role, her focus is developing programs through the lens of equity, and setting strategic efforts around assessment that inform The Carpentries curriculum and other initiatives. Kari enjoys running the Engineer Like a Girl after-school program in her free time, and teaching Zumba fitness. Kari tweets at @drkariljordan
Kirstie Whitaker is a research fellow at the Alan Turing Institute (London, UK) and senior research associate in the Department of Psychiatry at the University of Cambridge. Her work covers a broad range of interests and methods, but the driving principle is to improve the lives of people with mental health disorders. Dr Whitaker uses magnetic resonance imaging to study child and adolescent brain development and participatory citizen science to educate non-autistic people about how they can better support autistic friends and colleagues. She is the lead developer of "The Turing Way", an openly developed educational resource to enable more reproducible data science. Kirstie is a passionate advocate for making science "open for all" by promoting equity and inclusion for people from diverse backgrounds, and by changing the academic incentive structure to reward collaborative working. She is the chair of the Turing Institute's Ethics Advisory Group, a Fulbright scholarship alumna and was a 2016/17 Mozilla Fellow for Science. Kirstie was named, with her collaborator Petra Vertes, as a 2016 Global Thinker by Foreign Policy magazine. You can find more information at her lab website: whitakerlab.github.io.
Teon L. Brooks, PhD
Teon L. Brooks, PhD is a trained cognitive scientist who works as a data scientist for Mozilla. He also serves the technical advisor and President of BrainWaves, an NIH-funded project to teach experimentation and cognitive neuroscience to high school students in New York City. He is a longtime contributor to the MNE Project, a collection of open-source data analysis tools for MEG/EEG/iEEG, as well as a contributor to the Brain Imaging Data Structure, a project whose aim is to standardize neuroimaging datasets for sharing and reuse. At Mozilla, he focuses on implementation and teaching experimentation methods to inform product decisions. He is also a user advocate for the Iodide project, a new way to do and share data science workflows all in the browser.