Book launch social starting 6:00PM May 13, 2026
at the Los Angeles @thebonaventure
🆕📖 𝘊𝘳𝘰𝘴𝘴-𝘊𝘶𝘭𝘵𝘶𝘳𝘢𝘭 𝘙𝘦𝘴𝘦𝘢𝘳𝘤𝘩 𝘪𝘯 𝘗𝘳𝘢𝘤𝘵𝘪𝘤𝘦 of 1⃣9⃣ chapters for improving research quality across cultures, languages, countries 👇🏻
https://t.co/bHYxi2Exmn
Black turnout doesn't fully explain the '26 midterm election results, how so?
@AndraGillespie@JWJIEmory
"Whites were more likely to vote Democratic in 2026 compared to previous election cycles"
Webinar host: Black #AAPOR group
What're obs re Black voters '26 midterm election?
@AndraGillespie@JWJIEmory
1⃣ Black voters not too different from voters in general "dissatisfied w the country's direction"
2⃣ Blacks more likely than gen pop to cite the economy = top issue
Webinar host: Black #AAPOR group
Automated #AI detection for data quality.. what about PEOPLE?
JGoodbread @AskYTM
🏗️ acceptable standard
🧐 edge case, false positive🔻overcleaning
🤔 removed + defend it
👀 quality rpt b4 results
💖 Automation 🔎patterns, openends for AI text signatures + flag score route cases
How is #AI#DataQuality a 𝘣𝘶𝘴𝘪𝘯𝘦𝘴𝘴 problem (not just technical) in survey research?
J.Goodbread @AskYTM
1⃣ wrong decision
2⃣ reruns, rework = 💸⌛️
3⃣ stakeholder trust expensive to earn, cheap to lose
4⃣ decision velocity: when teams don't trust data, they ask for more
What're examples of 'survey research in flux'?
@unlbosr K.Olson:
⏩changing: modes, methods of inferences, data sources (🔼nonprobability, paradata) but respondents don't always 🫶 them
🤔 Lower cost options may 🔽costs per complete but not overall budget
🙏@ESS_Survey Webinar
Do #AI agents vary across online survey platforms?
S.Chen @LBS Webinar @SawtoothSoft
yes, some seem to provide data w lower agent rate, 🗝️evasion=knowledge of tests, so:
✔️ layer tests, make it hard to anticipate
📝 edit tests, not all the same
🏗️ detections but NO silver bullet
What're false positives in #AI detection tests for online surveys?
S.Chen @LBS Webinar @SawtoothSoft:
Humans can fail, too! AI capabilities🆙 but not true of humans❗️
AI detection tests validation for 𝘦𝘧𝘧𝘦𝘤𝘵𝘪𝘷𝘦𝘯𝘦𝘴𝘴: agent consistently fail but humans pass, results:
What're #AI detection tests that can be executed by indv researchers for online surveys?
S.Chen @LBS Webinar @SawtoothSoft
5 types:
🔍 lack of attention/comprehension
🗣️ admission of AI use
🔍 superhuman abilities
🔍 dif processing abilities
🔍 dif interactions w user interface
How to control the narrative and answer the question when 🔉insights?
@keenasmustard@ESOMAR
"contextualize", for example:
Add a benchmark to 🗣️ "we've exceeded our customer satisfaction targets", indicate target=30% in the data chart showing about 1/3 customers satisfied
Why create 🪝 or 1-liner in titles to 🔉insights?
@keenasmustard@ESOMAR
"persuading ppl to 👀 your story, no hook no point"
USE: Surprise "pictures need no passport!"
➕ Curiosity, Question, Negativity, Numbers
🚫 "Results of tracker Q4" "H2 feedback on CX study (attached)"
What to know about product testing with children?
@curioninsights@MRII_Learn
🧐 body language, emotional cues in qualitative research
🧒kids more definitive, eg. good 🆚 bad
‼️ sensory fatigue
👎 parents influence: Be clear who's 🗣️
👑 adapt methododology to each age group
The human side of statistical leadership... What to 🤔 in the #AI age?
@AmstatNews panel
1⃣ "Super Intelligence" for fed statistical agencies per 9/29/'26 EO
2⃣ Training entry level statisticians to 🧐 AI on tasks they've never done ⚖️validation 🆚 oversight
⬇️cognitive skills?
#AI chatbots & social media now used 🔎election info, what about TRUST?
M.Bitzer @catawbacollege using @YouGov poll:
67% Am. have little or no trust in them🟰voters encounter political info online but don't view the distribution channels as reliable sources
@TFADemocracy cohost
How confident are North Carolinians about 🗳️elections?
M.Bitzer @catawbacollege using @YouGov poll
"Confidence is strongest where voters have the most direct experience, and it declines as elections move farther from home"
event cohost @TFADemocracy
How to shift #AI effort to 'high-value work' in stats production?
L.McKeown @ONS webcast @theNASEM
1⃣ classification: generate codes from text
2⃣ survey assist: tailor followup🗣️
3⃣ receipt processing: extract/classify data from scan
👍 Humans to validate + judge reliability!
What're top 5⃣ training needs according to @OECD_Stat ('20-'25)?
S.MacFeely @OECD webcast @theNASEM
❗️data visualization
❗️web scraping
#AI
❗️data mining
❗️statistical analyses (using @_R_Foundation, @ThePSF)
🗝️= Professional development for official statistics workforce
What could make #LLM more equitable?
@fraukolos@theNASEM webcast
"fine-tuning on (and human feedback from) representative longitudinal data", needing:
✔️ partnership w academic teams
✔️ continued education
✔️ get benchmark ready from #AI testing