Coleridge Initiative

Conferences

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Conferences Archives

2020 Workforce Summit & UI Directors' Conference
September 22-25, 2020 - Virtual

For the first time ever, the NASWA Workforce Summit & UI Directors’ Conference can be enjoyed from the comfort of the nearest computer or smartphone! Enjoy a large selection of speakers, education workshops and panels with takeaways for everyone who attends. Join us for a virtual event you won’t want to miss! Visit the virtual conference site to view the draft agenda, sponsor information, and more!

A Discussion with Julia Lane
Tuesday, September 8, 2020 12:00PM - Webinar

COPAFS will host a discussion with Dr. Julia Lane (NYU) about her soon to be released book: Democratizing Our Data: A Manifesto. In this highly anticipated work, Lane delivers a persuasive, evidence-based argument for building a new public data system in order to safeguard privacy and improve the government’s ability to implement policy initiatives. The book is set for release on September 1, 2020.

Featured speakers include: Lucas Hitt, Julia Lane, Sherry Glied, Paul Moxon
August 20, 2020 - Webinar

The federal government controls troves of data, including information collected as part of routine administrative operations. In order to strategically unlock the value of these data, researchers and data users need improved access and capabilities to combine and analyze this information. By considering data as a service, the federal government can address these problems and improve the agility of their data, access for research, and overall data management. This virtual event will discuss opportunities for a federal data service, as well as best practices to be considered.

Hands-on Reinforcement Learning with Ray and RLlib
May 27, 2020 - San Francisco

Reinforcement learning requires a variety of computational patterns: data processing, simulations, model training, model serving. etc. Few frameworks efficiently support all these patterns at scale. In this hands-on tutorial, we’ll see how Ray and RLlib seamlessly and efficiently support these workloads, providing an ideal platform for building RL applications. We’ll deep dive into Ray and RLlib APIs. We’ll train and serve an RL-based application.

April 22, 2020 - Remote

Reinforcement learning requires a variety of computational patterns: data processing, simulations, model training, model serving. etc. Few frameworks efficiently support all these patterns at scale. In this hands-on tutorial, we’ll see how Ray and RLlib seamlessly and efficiently support these workloads, providing an ideal platform for building RL applications. We’ll deep dive into Ray and RLlib APIs. We’ll train and serve an RL-based application.

Rich Context: Using Novel Techniques To Discover Data Sets, Their Value and Attributes
April 22, 2020 - San Francisco, CA

This talk introduces Rich Context, our process for managing the knowledge graph, and discovery services plus recommender systems based on the graph.

April 15, 2020 - Boston, MA

ODSC is the conference to engage, to build, to develop, and to learn from the whole data science community.

March 26, 2020 - New York, NY

This is one of the largest Artificial Intelligence Big Data Science Conferences in the area. The speakers include some of the brightest PhD’s, Vice Presidents and Top MIT Fellows in the Artificial Intelligence and Data Science field.

New Opportunities for Sharing Data Across Agencies and States
March 12, 2020 - Hapeville, GA

While state data systems end at state borders, economic and social activity does not, making it difficult to evaluate the impact of state interventions in many areas, such as understanding the transitions across education and work. There is great interest among many higher education agencies in data and analysis that is shared and used across not only states but also agencies within a state. This session will discuss the Coleridge Initiative, which has combined technical and human approaches to sharing data across agencies and states to work with 450 participants from over 150 agencies.