Plenary discussion (all live)

Moderator: Amelia Burke-Garcia (burkegarcia-amelia@norc.org)
Slack link
Quick Zoom

https://rtiorg.zoom.us/j/96611277209?pwd=WFhndXFtUTY3eEtTWjQvcWZyRGFZQT09

Webinar ID: 966 1127 7209
Passcode: 510323

Or iPhone one-tap :
US: +13126266799,,96611277209#,,,,,,0#,,510323# or +19292056099,,96611277209#,,,,,,0#,,510323#
Or Telephone:
Dial(for higher quality, dial a number based on your current location):
US: +1 312 626 6799 or +1 929 205 6099 or +1 301 715 8592 or +1 346 248 7799 or +1 669 900 6833 or +1 253 215 8782 or 888 475 4499 (Toll Free) or 877 853 5257 (Toll Free)
Spain: +34 91 787 0058 or +34 917 873 431 or +34 84 368 5025
United Kingdom: +44 203 481 5237 or +44 203 481 5240 or +44 203 901 7895 or +44 208 080 6591 or +44 208 080 6592 or +44 330 088 5830 or +44 131 460 1196
Malaysia: +60 3 9212 1727 or +60 3 3099 2229 or +60 3 7724 4079 or +60 3 7724 4080
El Salvador: +503 2136 6444 or +503 2113 9088
Webinar ID: 966 1127 7209
Passcode: 510323
International numbers available: https://rtiorg.zoom.us/u/aeEkMC1Wer

Or an H.323/SIP room system:
H.323:
162.255.37.11 (US West)
162.255.36.11 (US East)
115.114.131.7 (India Mumbai)
115.114.115.7 (India Hyderabad)
213.19.144.110 (Amsterdam Netherlands)
213.244.140.110 (Germany)
103.122.166.55 (Australia)
209.9.211.110 (Hong Kong SAR)
149.137.40.110 (Singapore)
64.211.144.160 (Brazil)
69.174.57.160 (Canada)
207.226.132.110 (Japan)
Meeting ID: 966 1127 7209
Passcode: 510323
SIP: 96611277209@zoomcrc.com
Passcode: 510323

Closing session (all live)

Moderator: Craig Hill (chill@rti.org)

Quick Zoom

https://rtiorg.zoom.us/j/96611277209?pwd=WFhndXFtUTY3eEtTWjQvcWZyRGFZQT09

Webinar ID: 966 1127 7209
Passcode: 510323

Or iPhone one-tap :
US: +13126266799,,96611277209#,,,,,,0#,,510323# or +19292056099,,96611277209#,,,,,,0#,,510323#
Or Telephone:
Dial(for higher quality, dial a number based on your current location):
US: +1 312 626 6799 or +1 929 205 6099 or +1 301 715 8592 or +1 346 248 7799 or +1 669 900 6833 or +1 253 215 8782 or 888 475 4499 (Toll Free) or 877 853 5257 (Toll Free)
Spain: +34 91 787 0058 or +34 917 873 431 or +34 84 368 5025
United Kingdom: +44 203 481 5237 or +44 203 481 5240 or +44 203 901 7895 or +44 208 080 6591 or +44 208 080 6592 or +44 330 088 5830 or +44 131 460 1196
Malaysia: +60 3 9212 1727 or +60 3 3099 2229 or +60 3 7724 4079 or +60 3 7724 4080
El Salvador: +503 2136 6444 or +503 2113 9088
Webinar ID: 966 1127 7209
Passcode: 510323
International numbers available: https://rtiorg.zoom.us/u/aeEkMC1Wer

Or an H.323/SIP room system:
H.323:
162.255.37.11 (US West)
162.255.36.11 (US East)
115.114.131.7 (India Mumbai)
115.114.115.7 (India Hyderabad)
213.19.144.110 (Amsterdam Netherlands)
213.244.140.110 (Germany)
103.122.166.55 (Australia)
209.9.211.110 (Hong Kong SAR)
149.137.40.110 (Singapore)
64.211.144.160 (Brazil)
69.174.57.160 (Canada)
207.226.132.110 (Japan)
Meeting ID: 966 1127 7209
Passcode: 510323
SIP: 96611277209@zoomcrc.com
Passcode: 510323

Craig Hill will serve as the moderator for our formal closing session, where we review the conference and together will set out a path forward for a BigSurv research agenda. Topics that will be covered:

• BigSurv20 Fridays - The numerous highlights, a few lowlights, and everything in between
• BigSurv20 award winners
• Poster competition winners
• Student paper competition
• Big Data Challenge winner!
• BigSurv20 special issue journals
• The future of BigSurv - Where does BigSurv go from here? What does the future of the BigSurv "franchise" look like? Will there be a BigSurv22 and, if so, will it be "live" or virtual?

Following the closing, there will be BigSurv20 happy hour where you can freely interact with all participants using Slack.

There are 7 thematic happy hour sessions that you can join, as well:

1. Combining multiple sources of data, such as registers, survey data, media, and sensor data
2. Ethics of data collection and processing in the era of Big Data
3. Innovations in data collection: Methods and new data sources
4. Advances in questionnaire and survey user interface/experience design and evaluation
5. Advances in modeling: Machine learning, deep learning, AI
6. Quality assessments of various sources of data, such as registers, survey data, media, and sensor data
7. Communication and data visualization
8. General happy hour