Big Data for Good

Join us for our 2019 Fall Forum on November 6-7, as we explore how the Ohio State community is using big data to solve today’s most complex challenges.  Over the course of two days, we’ll hear from distinguished speakers, host interactive lectures / information sessions on data programming and interdisciplinary data analytics research teams, and see how the entire campus community is using big data for good with a morning poster session.

Day One (Wednesday, November 6)×

Keynote Address with Dr. Katherine Ensor (Rice University)
“Urban Analytics and the Value of University/City Partnerships”
4 to 6:30 p.m. 
TDAI Ideation Zone (320 Pomerene Hall)

Open to all
Dr. Katherine Ensor, the Noah G. Harding Professor of Statistics and Director of the Center for Computational Finance and Economic Systems(CoFES) at Rice University.  She will present on “Urban Analytics and the Value of University/City Partnerships.” Specifically, “In today’s data driven world, statisticians and data scientists are in high demand. A key area where our talents and skills contribute is a better understanding of cities and communities. Through strong university and local government partnerships advanced statistics and analytics provide needed knowledge to guide community actions, city processes, and regional policies. In this talk I will provide key examples of such partnerships across the nation and highlight the way in which local governments in the Houston area capitalize on universities in the region. These partnerships also enrich the education and research mission of a university. To support data informed action in Houston, I led an effort to create the Kinder Institute Urban Data Platform (UDP, see kinderudp.org), a secure computing platform and permanent repository for data about the region. The ready availability of high-quality data coupled with advances in methodological statistics and data sciences brings significant real-time value to the greater community.”

A reception will directly follow the keynote address.

Seating is limited; Register to attend by Oct. 30. 

Day Two (Thursday, November 7)×

Research Poster Session
9:30 to 11:30 a.m.
TDAI Ideation Zone (320 Pomerene Hall)
Open to the entire Ohio State community and guests. Light breakfast available.
Join us as faculty, postdocs, and students present posters on their research and special projects involving big data. Tour of TDAI spaces are also available.

Those wishing to present a poster must register and submit their materials by Sunday, Oct. 27. Check out our previous Fall Forum posters in the University Libraries Knowledge Bank.

A light lunch will be served from 11:30 am – Noon.

No registration to attend; open to all!

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Concurrent Sessions
12 to 2:30 p.m.
TDAI (300 Pomerene Hall)
Open to all Ohio State faculty.
Faculty are invited to join us for a series of four concurrent sessions focused on TDAI programming and research support.  Each session lasts roughly 30 minutes.

  • Data Commons Demo – Hear from TDAI’s Steve Chang about our Data Commons, a secure platform for TDAI Affiliates to store and share data for free.  See it in action, hear what’s next, and give feedback on the platform.

  • TDAI Pilot Funding Overview – We’re launching a new pilot funding program this fall to invest in faculty-driven team science/scholarship projects.  Learn more about the program and its goals at this session.

  • Proposal Development Office – Have you heard about the Proposal Development Office (PDO) at Ohio State? Explore PDO and how it can help you with Kate Hayes-Ozello.

  • TDAI Visualization Lab Demo – Opened over the summer, our new visualization lab features two projectors and a 20-foot wide wall display. Explore the lab and its capabilities with a live demo.

Seating is limited; Register by Oct. 30. 

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TDAI Community of Practice (COP) Meetings
Open to all Ohio State faculty. 
Learn More about each COP.

Computational Social Sciences COP
3 to 3:45 p.m.
TDAI (300A Pomerene Hall)
Join the TDAI Computational Social Sciences Community of Practice for a special meeting. The COP is using computational techniques and big data to address concerns related to human behavior, or to gain insights into basic social processes that cannot be identified with conventional methods. Their goal is to facilitate research within the social sciences and team science between disciplines, and to develop methodological tools to evaluate novel theories that cannot be evaluated with conventional tools. 

Foundations of Data Science COP
3 to 4 p.m.
TDAI (301 Pomerene Hall)
Join the TDAI Foundations of Data Science Community of Practice for a special meeting. The COP aims to build a community at OSU focusing on the foundation of data science. It centers around the theoretical and algorithmic foundation of data science, with core members spanning across Computer Science, Statistics and Mathematics. 

Computational Health and Life Sciences COP
3 to 5 p.m.
TDAI (350 Pomerene Hall)
Join the TDAI Computational Health and Life Sciences Community of Practice for a special meeting. This COP’s overarching goal is to build research teams around various themes in life and health sciences. We aim to develop big-data analytics that have translational values and can be deployed in health care and life sciences.

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