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're common challenges product testing w kids?
@curioninsights @MRII_Learn
1⃣ comfort/engagement: reassurance w new exp, limited attention span
2⃣ understand q + describe sensory exp + adult influence
3⃣ update database as kids age out, age-specific logistics: highchair, bib
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?
#privacy 🆚 safety, what's the tension 🔎 #AIOLIA_EU @DigitalEU?
@CEA_Officiel A.Grinbaum: "strong anonymization can prevent detection of abusive uses"
limited transparency: overexplaining surveillance ⬇️user trust 🆙attacks
Perceived intrusive? Human oversight > #LLM
🙏@WAPOR
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
Law enables #DataSharing among public authorities, what makes it happen?
I.Cope @JsyStats webcast @theNASEM
"build relationships w #DataGovernance teams before enforcement becomes necessary"
@GovJersey is an autonomous, self-governing island, part of British Isles archipelago
How to modernize sample mgmt for #MobileFirst research?
MHayes @TeleTownHall ➕ @davidrpmartin @EagletonPoll: Text-to-web recruit faster cheaper younger
Clear sender🆔, MMS then SMS
Stratify sample frame by nonresponse propensity
🔎carrier eg @TMobile cap based on TCR compliance
How to find out what youth leaders think about #AI?
@wapor Webinar R.Hassan @Stanford:
via global youth event by @StanfordDDL + @WHOYouthCouncil
1⃣ small-group🗣️
2⃣ global health & digital policy focus
3⃣ expert Q&A
➕look ahead to @UN High-Level Meeting on NCDs, mental health
#AgeGap, what does it mean in women's health?
J.Pinkerton @MedicineUVA @theNAMedicine:
variation in the health ➕ appearance in
chronological (linear, can't change) 🆚
biological age (physiological + functional, more accurate age📐, better health predictor)
🆙exercise and 🚭!
↕️mood 🥵 fatigue, what's happening to women 40-60yrs "midlife"?
J.Pinkerton @MedicineUVA @theNAMedicine: reproductive #aging, a "pacemaker" critical for long-term health
👍 indiv. advocacy/knowledge
✔️ trained #menopause providers
🧠 aging intervention (neuro shift) possible
Why 🌳metaphor for #DataLiteracy edu?
D.Markovic O.Kärcher @HS_Osnabrueck
soil=environment for different students
roots=foundational competence:🤔skills
branches=specific competence: analysis, modeling #DataViz
trunk=teaching methods/tools
@AmstatNews 👁🗨magazine.amstat.org/blog/202…
What're "data agents"?
#LLM🏗️ #DataScience agents that address data-centric problems w minimal human intervention
✔️ planning, reasoning, reflection
✔️ multi-agent 🤝
✔️ user interface, knowledge🔄 + system design
@tandfonline TheAmericanStatistician 👁🗨
doi.org/10.1080/00031305.202…



















