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| Link | rowid | title | speaker | time | day | room | url | datetime | abstract | image |
|---|---|---|---|---|---|---|---|---|---|---|
| 24 | 24 | Qualitative Research Using Open Source Tools | Beth Duckles & Vicky Steeves | 3:30 PM | May 8 2019 | Main Sanctuary | https://csvconf.com/speakers/#beth-duckles-vicky-steeves | 2019-05-08T15:30:00 | Qualitative research has long suffered from a lack of free tools for analysis, leaving no options for researchers without significant funds for software licenses. This presents significant challenges for equity. This panel discussion will explore the first two free/libre open source qualitative analysis tools out there: qcoder (R package) and Taguette (desktop application). Drawing from the diverse backgrounds of the presenters (social science, library & information science, software engineering), we will discuss what openness and extensibility means for qualitative research, and how the two tools we've built facilitate equitable, open sharing. | https://csvconf.com/img/speakers-2019/bduckles_vsteeves.jpg |
| 25 | 25 | Building Communities of Practice around Environmental Open Data Science | Julia Lowndes | 3:30 PM | May 8 2019 | Fuller Hall | https://csvconf.com/speakers/#julia-lowndes | 2019-05-08T15:30:00 | Environmental scientists are a diverse community that ranges from climatologists to geneticists, but we are united by an enormous need to work efficiently with data – and by the fact that we seldom have formal computing or data analysis training of any kind. There is great opportunity to borrow from the work of software engineers and use collaborative open tools that facilitate better science in less time. However, a fundamental shift is needed in the environmental science community that prioritizes data science and provides emerging scientific leaders training in open science tools and practices to strengthen and accelerate their work. I will discuss my work to catalyze this shift through two programs I have developed and lead at the National Center for Ecological Analysis and Synthesis (NCEAS) at the University of California at Santa Barbara. The first is the Ocean Health Index training program, which teaches international government and academic scientists how to channel the best available scientific information into marine policy using our scientific method and tools. And the second I have recently launched in January 2019 as a Mozilla Fellow: Openscapes, a mentorship program that empowers environmental scientists with open data science tools and grows the community of practice. | https://csvconf.com/img/speakers-2019/jlowndes.jpg |
| 26 | 26 | Fundamentals of Research Software Sustainability | Daniel S. Katz | 3:30 PM | May 8 2019 | Daisy Bingham Room | https://csvconf.com/speakers/#daniel-s-katz | 2019-05-08T15:30:00 | Software sustainability means different things to different groups of people, including the persistence of working software, and the persistence of people, or funding. While we can generally define sustainability as the inflow of resources is sufficient to do the needed work, where those resources both include and are somewhat transferrable into human effort, users, funders, managers, and developers (or maintainers) all mean somewhat different things when they use sustainable in the context of research software. This talk will illustrate some of these different views, and their corresponding aims. It will also provide some guidance on quantifying research software sustainability from some of these views. | https://csvconf.com/img/speakers-2019/dskatz.jpg |
| 50 | 50 | A Love Letter to the Boxplot | Melissa Santos | 3:30 PM | May 9 2019 | Main Sanctuary | https://csvconf.com/speakers/#melissa-santos | 2019-05-09T15:30:00 | We'll briefly cover what the boxplot is, why it's so great to look at distributions instead of single statistics, and common boxplot variations. I'll spend at least half the talk showing boxplots of real data and comparing them to other summary methods. The talk will wrap up with some quick info on how to create boxplots in many common chartings/statistics/BI tools. I hope this talk will make people more likely to use my favorite chart! | https://csvconf.com/img/speakers-2019/msantos.jpg |
| 51 | 51 | Squishy Amoeba-Like Objects | Darius Kazemi | 3:30 PM | May 9 2019 | Fuller Hall | https://csvconf.com/speakers/#darius-kazemi | 2019-05-09T15:30:00 | On June 19th, 1970, a group of computer scientists who were inventing the internet referred to key pieces of its proposed design as "squishy amoeba-like objects". Amoebas are porous yet have well-defined boundaries. Thinking about these creatures gives us new ways to think about networks and communities and technology. This talk makes a case for the squishy amoeba-like object as an organizing principle for what is broadly being called "the decentralized web", a web outside of monolithic, monopolistic actors. | https://csvconf.com/img/speakers-2019/dkazemi.jpg |
| 52 | 52 | Version Controlled Stakeholder Reporting: Building an End-to-End Data Reporting Infrastructure | Jose M Hernandez | 3:30 PM | May 9 2019 | Daisy Bingham Room | https://csvconf.com/speakers/#jose-m-hernandez | 2019-05-09T15:30:00 | King County, Washington is currently undergoing complex social and economic changes that have both positive and negative impacts on local residents. With rising rents displacing low-income households to outlying areas or into homelessness, there is a critical need to understand the prevalence and mechanisms of housing insecurity for government organizations tasked to address these issues. Currently, our team of Data and social scientists at the University of Washington, eScience Institute are collaborating with stakeholders across the King County Housing and Homelessness prevention agencies to derive meaningful insights from their data. While their aim is not to produce academic research, our findings may have significant and immediate impact for their organizational practices and the communities they are tasked to serve. In this context and where there is an iterative and constant feedback loop present, reproducibility of the results we present to them, from figures, tables, and even written language is critical. To ensure a successful collaboration, our team has built an end to end data reporting infrastructure to produce reports for our stakeholders that are reproducible and version controlled from raw data to final product. We employ some common open source tools to accomplish this, including R/Rstudio, Python, Rmarkdown, and git. | https://csvconf.com/img/speakers-2019/jmhernandez.jpg |
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