Abstract: 

data.world—the Austin-based data sharing & collaboration platform—has been working with the US Census Bureau to ingest the American Community Survey in new formats (geo coded tabulations and semantic linked data) to help data users enrich analyses with vital US demographic information. An important goal for this NSF-funded effort is to empower more data scientists to use this fundamental source of data and contribute to its development.
This talk will cover:
* Overview of the ACS and its distribution channels
* ACS data currently available on data.world and Amazon Web Services (AWS) Public Datasets
* Linked ACS – overview of semantic web + ACS microdata in linked data format
* Demo of the data.world platform and query tool
* Tutorial on how to upload your own data and link to ACS datasets

Bio: 

Jonathan Ortiz is a data scientist and knowledge engineer at Austin data startup data.world. Jonathan is also a member of Data For Democracy, an inclusive community for data scientists and technologists to volunteer and collaborate on projects that make a positive impact on society. Through a 2016 DataStart grant fellowship, Jonathan worked with the US Census Bureau to make Census data more accessible and easier to combine with other data sets via data.world. The fellowship was managed by RENCI and the South Big Data Hub and supported by the National Science Foundation. Jonathan is a former student at the University of Texas - Austin Data Analytics and Big Data Program. Prior to his work in data science, Jonathan accumulated extensive experience in media, marketing, and consulting. Most recently, Jonathan served as Director at Scratch, a division of Viacom that drives innovation by channeling the power of brands like MTV, BET, Comedy Central, and Nickelodeon. Jonathan received a Bachelor of Science in Economics with concentrations in Marketing and Management from the Wharton School at the University of Pennsylvania.