Spatial Data Science Hangout: Reproducibility in Data Science Research
The Center for Spatial Studies invites you to join us on Thursday May 20 at 9:00 a.m PT for the next Spatial Data Science Hangout on Reproducibility in Data Science Research. For this special event, we are thrilled to welcome two reproducibility experts as speakers: Daniel Nüst (Institute for Geoinformatics, University of Münster) and Casey O’Hara (BREN School, UC Santa Barbara).
Don’t miss this event! Everyone is welcome to participate, just keep in mind that these hangouts are meant to be a comfortable environment for graduate students and early career researchers to brainstorm, talk through their imaginative ideas, discuss, and learn from each other.
The event will be held online.
Casey O’Hara is a PhD candidate in the BREN School at UCSB. After completing his MESM degree in 2014, Casey has worked on the Ocean Health Index, applying data science to communicate the range of economic, ecological, and cultural benefits people can sustainably derive from healthy oceans. In his research, he applies spatial analysis and data science principles to examine the ecological and socioeconomic impacts of human activity and climate change on marine biodiversity.
Abstract: In his talk, Casey will give a short introduction to his paper on better science in less time using open data science tools, including a quick introduction to GitHub for version control and communication, and a comparison of the pros and cons of spatial analysis using ArcMap GIS, ArcMap ModelBuilder, and R. Casey will wrap up his talk by presenting some quick results from his most recent paper: At-risk marine biodiversity faces extensive, expanding, and intensifying human impacts.
Daniel Nüst (https://orcid.org/0000-0002-0024-5046) is a researcher at the Spatio-temporal Modelling Lab at the Institute for Geoinformatics at the University of Münster. Daniel pursues a Ph.D. in the context of the DFG project, Opening Reproducible Research, where he develops tools for creation and execution of research compendia in geography and the geosciences. His professional interest is improving the scholarly publication process with new information technology—of course, with Open Source software! Daniel is reproducibility chair at the AGILE conference series and vice chair of the German association for research software engineering.
Abstract: In his talk, Daniel will give a short introduction to his paper on practical reproducibility in geography and geosciences and present some advanced technologies for reproducibility (notebooks, containers, Binder). Daniel will wrap up his talk by discussing how reproducibility should be taken into account during peer review and give a brief overview of the initiatives CODECHECK and Reproducible AGILE.
Given the variety of specializations within geography, spatial data science may provide an opportunity to establish an overarching, unifying community of researchers interested in the scientific aspects of representing, publishing, retrieving, and integrating spatial data that is solid enough to make a long-term impact. To explore this idea, the Spatial Center invites all students interested in spatial data science to casual hangouts.
