NextGen: Data Science Day

Saturday, November 7, 2020 (Virtual, EST)


Schedule of Events

Time

Event

8:30 - 8:45 amWelcome Remarks

Joseph C. Cappelleri, President of NESS
9:00 – 10:30 am Keynote #1 - Sponsored by MassMutual
Prof. Andrew Gelman
Higgins Professor of Statistics and Professor of Political Science,
Columbia University
Q/A

Chair: Moinak Bhaduri (Bentley University)
10:30 - 10:40 am Break
10:45 – 12:15 pm Parallel Sessions: Explore your options
Session 1: Careers in Data Science
Sponsored by Liberty Mutual
Session 2: Résumé and CV Building
Session 3: Networking on LinkedIn
12:15 – 1:15 pm Lunch Break and Sponsor Networking Session
1:15 – 2:45 pm Parallel Sessions: Understand the jobs
Session 4: Data science in Tech
Sponsored by eBay
Session 5: What can a Data Scientist do?
2:45 – 3:00 pm Break
3:00 – 4:30 pm Keynote #2 - Sponsored by Boehringer Ingelheim
Prof. Rebecca Nugent
Stephen E. and Joyce Fienberg Professor of Statistics & Data Science, Associate
Department Head, and Co-Director of Undergraduate Studies.
Carnegie Mellon University
Q/A

Chair: Abidemi K Adeniji, Chair of NESS-NextGen Committee (M-Estimator LLC)
4:30 – 5:30 pm Poster Presentation and winner announcement
Sponsored by Hartford Steam Boiler
5:30 – 6:00 pmClosing Remarks
HaiYing Wang (University of Connecticut)

Sponsor Interviews

We are pleased to announce that there will also be an opportunity for sponsors to set up interview sessions during the day with attendees. Interested sponsors should check out the sponsorship details. Interested attendees should opt in for sponsorship contact and upload their resume/CV during registration.


Poster Competition

Did you do an interesting project recently? Then enter the poster competition for a chance to show what you did and for a chance to win a cash prize! You can present individually or as a group and have total freedom in choosing the topic as long as it relates to data science.



Conduct Policy

Data Science Day promotes the free expression and exchange of ideas. All participants agree to abide by the American Statistical Association's conduct policy listed here.