NextGen: Data Science Day

Saturday, November 7, 2020 (Virtual, EST)


You will need the event password which is sent to the email account you used when you signed up for Data Science Day with the subject line “ACTION NEEDED: Data Science Day password”
Instructions for Attending Data Science Day.pdf
Instructions for Attending Panel and Poster Sessions.pdf
Keynote 2 Slides.pdf

Schedule of Events

Time

Event

8:30 - 8:45 amWelcome Remarks
Joseph C. Cappelleri, President of NESS
Welcome Remarks.pdf
Main Event Link for attendees
Main Event Link for panelists
9:00 – 10:30 amKeynote #1 - Sponsored by MassMutual
Prof. Andrew Gelman
Higgins Professor of Statistics and Professor of Political Science,
Columbia University
Q/A

Title: Election Forecasting: How We Succeeded Brilliantly, Failed Miserably, or Landed Somewhere in Between
Chair: Moinak Bhaduri (Bentley University)
Main Event Link for attendees
Main Event Link for panelists
10:30 - 10:45 am Break
10:45 – 12:15 pm Parallel Sessions: Explore your options
Session 1: Careers in Data Science
Sponsored by Liberty Mutual
Session 1 Link for attendees
Session 1 Link for panelists
Session 2: Résumé and CV Building
Session 2 Link for attendees
Session 2 Link for panelists
Session 3: Networking on LinkedIn
Session 3 Link for attendees
Session 3 Link for panelists
12:15 – 1:15 pm Lunch Break and Sponsor Networking Session
BI Virtual Booth
eBay Virtual Booth
HSB Virtual Booth
Liberty Mutual Virtual Booth
1:15 – 2:45 pm Parallel Sessions: Understand the jobs
Session 4: Data science in Tech
Sponsored by eBay
Session 4 Link for attendees
Session 4 Link for panelists
Session 5: What can a Data Scientist do?
Session 5 Link for attendees
Session 5 Link for panelists
2:45 –2:55 pm IoT Analytics at HSB and the Insurance Industry
Main Event Link for attendees
Main Event Link for panelists
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

Title: Demystifying Data Science: Starts with People, Ends with People
Keynote 2 Slides
Chair: Abidemi K Adeniji, Chair of NESS-NextGen Committee (M-Estimator LLC)
Main Event Link for attendees
Main Event Link for panelists
4:30 - 5:30 pm Poster Presentation and Winner announcement
Sponsored by Hartford Steam Boiler
4:30 – 5:25 pm Poster Presentation
Virtualposter link
5:25 – 5:30 pm Winner announcement
Main Event Link for attendees
Main Event Link for panelists
5:30 –5:35 pmClosing Remarks
HaiYing Wang (University of Connecticut)
Main Event Link for attendees
Main Event Link for panelists

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.