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Office of Research, Innovation and Collaboration (ORIC)

College of Education and Human Ecology

College of Education and Human Ecology
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artificial intelligence (AI)

July 14, 2021

NSF Convergence Accelerator Expo 2021

This “must-attend” virtual event is an attendee’s opportunity to see unique use-inspired research solutions funded by the NSF Convergence Accelerator. Last year’s inaugural event drew over 1,500 attendees from academia, industry, non-profit, government across 25 countries, and this year’s event is expected to be even larger.

During the event, you will have the opportunity to connect with our funded research teams and see live solution demos every 15 minutes across five research tracks, as well as network with other researchers, innovators, and business and technical practitioners from academia, industry, government, non-profit, and other communities of practice.

Featured Research Track Topics

  • AI-Driven Data Sharing & Modeling
  • Future of Work
  • Open Knowledge Networks
  • Quantum Technology
  • Special Topic: EcoManufacturing

Today’s national-scale societal challenges cannot be solved by one discipline working alone. Instead, multiple disciplines must work together. To deliver tangible solutions that have a nation-wide societal impact and at a faster pace, the NSF Convergence Accelerator is designed to leverage a convergence approach to transition basic research and discovery into practice. Using innovation processes like human-centered design, user discovery, and team science; and integration of a multidisciplinary approach, NSF is making investments to solve high-impact societal challenges through use-inspired convergence research.

Who Should Attend

Expo 2021 is open to the public and media, but we are encouraging researchers, innovators, and tech and business practitioners from academia, industry, government, non-profits, and other communities to attend.

Registration

To register for Expo 2021 visit, nsf-ca.vfairs.com. Registration is complimentary.

/ artificial intelligence (AI), convergence, innovation

July 9, 2021

Introduction to Data Science, Machine Learning and Deep Learning (in R and Python) Online Short Course

AI has manifested itself in all areas of our lives and is one of the most exciting and fast-growing fields of research and application in the world of data science. This course will provide an overview of using R and Python for some of the most popular machine learning and deep learning models in real-world data science applications in the cloud environment. The sessions will step through the basic theoretical concepts behind those models and mainly focus on applications. You will learn the motivation and use cases of these models through hands-on exercises. This short course’s main topics are: big data cloud environment, tree-based models, regularization methods, feedforward neural network, convolutional neural network, and recurrent neural network.

This online course is designed for audiences with a statistics education background, and it bridges the gap between traditional statisticians and data scientists. No software download or installation is needed, and everything is done through the internet browser with hands-on sessions in Databrick’s cloud environment and Colab. This is a 7-hour remote course with a 30 minute break for lunch.

Instructors:  Ming Li (Amazon) and Hui Lin (Google)

REGISTER

Cost varies from $25 to $70 based on registration type. Early bird registration ends August 10, 2021.

Questions:  Email asa.columbus.chapter@gmail.com or contact any of the officers listed below.

ASA Columbus Chapter Officers:

President – Jessica Kolschmidt (jk.kolschmidt@gmail.com)
Vice-President – Melissa Moore-Clingenpeel (moore.clingenpeel@gmail.com)
Treasurer – Asu Turkmen (turkmen@stat.osu.edu)
Secretary – Teri Berliner (ttberliner@gmail.com)
Past President – Shasha Bai (shasha.bai@osumc.edu)
Chapter Representative – Bo Lu (lu.232@osu.edu)
Communications – Deedra Nicolet (nicolet.1@osu.edu)

/ artificial intelligence (AI), machine learning, networks, Python, R, statistics

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Office of Research, Innovation and Collaboration (ORIC)
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Phone: (614) 247-2412
Email: EHE-office_of_research@osu.edu

College of Education and Human Ecology

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