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Julia Lane and Democratizing Government Data using AI


Julia Lane and Democratizing Government Data using AI

Discover how Julia Lane and JHU are democratizing government data using AI to provide researchers with a prototype API & dashboard for smarter ...

Democratizing Our Data - MIT Press

Yet data produced by the American government are getting worse and costing more. In Democratizing Our Data, Julia Lane argues that good data are essential for ...

Democratizing Data Home

Enhancing Data Discovery with DemocratizingData.ai ... Julia Lane: used UMETRICS and the Survey of ... The Democratizing Data initiative is working with a number of ...

A Vision for Democratizing Government Data

A Vision for Democratizing Government Data. By Julia Lane. Building an information marketplace about how government data are used can enable new types of ...

Measuring AI's Impacts with Julia Lane, NYU Economist and Expert ...

Episode 6. Julia Lane is a renowned expert on public data. An economist, NYU professor, and regular advisor to the federal government, Julia ...

Democratizing Data: Our Vision · Special Issue 4

... Julia Lane of NYU was proposed to and funded by the Alfred P. ... Using data science to open government data. ... https://ai.gov/wp-content ...

May 10: Julia Lane – The Measurement of AI

​10:30 — Reception where Julia will be signing her book, Democratizing Our Data: A Manifesto. Copies will be available for purchase from the ...

Measuring AI's Impacts with Julia Lane, NYU Economist ... - YouTube

Julia Lane (https://julialane.org/) is a renowned expert on public data. An economist, NYU professor, and regular advisor to the federal ...

Julia Lane – Julia Lane

... Democratizing Data project; an example of the work is here. ... 9th annual Government ... “Measuring AI's Impacts with Julia Lane, NYU Economist and Expert on ...

Read my Democratizing our Data book | Julia Lane posted on the topic

Great article tieing together many pieces of work (jobs, data, research, AI investments, government resources) and why timely data for ...

Democratizing Data: Using natural language processing and ...

Real World Data Science speaks with Julia Lane, professor at the NYU Wagner Graduate School of Public Service and visiting fellow at RTI ...

Democratizing Data: AI tools for discovery - BERD@NFDI

... data -so that both governments and researchers can quickly find the data and evidence they need. Julia Lane will provide an overview of a massive effort over ...

Additional Resources - Democratizing Data

Using Data Science to Open Government Data. Julia Lane, Ernesto Gimeno, Ekaterina Levitskaya, Zheyuan Zhang, and Alberto Zigoni This article describes how data ...

Democratizing Our Data: A Manifesto

Yet data produced by the American government are getting worse and costing more. In Democratizing Our Data, Julia Lane argues that good data are ...

Using AI and ML to Show Value | Julia Lane - YouTube

This video presentation was recorded during our Value of Science: Data, Products & Use Conference which was intended to advance ...

Julia Lane, NYU: "Democratizing our Data" - Social Science Matrix

The other is human – the Applied Data Analytics training program – which trains government agency staff how to combine and use the data to serve ...

Democratizing our data : a manifesto / Julia Lane. - SUNY New Paltz

... artificial intelligence algorithms--can be ... by access to data; government's job is to democratize the data playing field. ... In Democratizing Our Data, Julia ...

Julia Lane | NYU Wagner

A Vision for Democratizing Government Data. ... Using Data Science to Open Government Data. ... Professor Julia Lane from NYU on AI Policy ...

Democratizing Data: Our Vision | Request PDF - ResearchGate

... Julia Lane and others published Democratizing ... by access to data; government's job is to democratize the data playing field. ... https://ai.gov ...

Drs. Nancy Potok & Julia Lane present Democratizing Data ...

High quality data is foundational to both empirical research and evidence based policy making. Yet research is often stymied by lack of information about data.