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VERSION:2.0
PRODID:-//Vrije Universiteit Amsterdam//NONSGML v1.0//EN
NAME:Panel Discussion: Is AI the end of online survey data? 
METHOD:PUBLISH
BEGIN:VEVENT
DTSTART:20260416T150000
DTEND:20260416T161500
DTSTAMP:20260416T150000
UID:2026/panel-discussion-is-ai-th@8F96275E-9F55-4B3F-A143-836282E12573
CREATED:20260413T131837
LOCATION:HG-06A00 VU Main Building De Boelelaan  1105 1081 HV Amsterdam
SUMMARY:Panel Discussion: Is AI the end of online survey data? 
X-ALT-DESC;FMTTYPE=text/html: <html> <body> <p>With the introduction o
 f AI, low-barrier online data collection methods are experiencing an 
 existential new threat to their integrity.</p> <p>What if you could c
 reate plausible survey data with a few clicks?</p><p>What if bots inf
 luence online surveys to push a certain narrative?</p><p>What if this
  is already happening?</p><p>Join us for this panel discussion on the
 <strong>&nbsp;impact of AI on the research integrity of</strong>&nbsp
 ;<strong>online surveys</strong>.&nbsp;We'll be discussing how the in
 creasing use of Artificial Intelligence (both by bots and human parti
 cipants) to complete surveys is compromising the integrity of researc
 h data. We will&nbsp;analyze&nbsp;whether the trend to simply collect
  more data still leads to better research outcomes when data authenti
 city is at risk or if a pivot into a new way of research is required.
 </p><p>The panel consists of:</p><ul>  <li><a href="https://research.
 vu.nl/en/persons/philipp-k-masur/" data-new-window="true" title="dr. 
 Philipp Masur" target="_blank" rel="noopener noreferrer"><strong>dr. 
 Philipp Masur</strong></a>&nbsp;(FSH)</li>  <li><a href="https://rese
 arch.vu.nl/en/persons/reinout-de-vries/" data-new-window="true" title
 ="prof. Reinout de Vries" target="_blank" rel="noopener noreferrer"><
 strong>prof. Reinout de Vries</strong></a>&nbsp;(FBMS)&nbsp;</li>  <l
 i><a href="https://research.vu.nl/en/persons/anna-bon/" data-new-wind
 ow="true" title="dr. Anna Bon" target="_blank" rel="noopener noreferr
 er"><strong>dr. Anna Bon</strong></a><strong>&nbsp;</strong>(BETA)<br
 >&nbsp;</li></ul><p>Networking drinks are available after the panel s
 ession.</p><p>In case you are interested in diving in deeper before t
 he panel discussion, here are some relevant readings:</p><ul>  <li>Se
 an J. Westwood, 2025, “<a href="https://www.pnas.org/doi/10.1073/pn
 as.2518075122">The potential existential threat of large language mod
 els to online survey research</a>” (PNAS, also see this <a href="ht
 tps://bsky.app/profile/joshmccrain.bsky.social/post/3m5wh7nmooc2v" ti
 tle="Post">Bluesky thread</a>)</li>  <li>Claire Zulkey, 2024, “<a h
 ref="https://news.stanford.edu/stories/2024/11/ai-generated-survey-re
 sponses-could-make-research-less-accurate-lot-less-interesting">AI-ge
 nerated survey responses could make research less accurate – and a 
 lot less interesting</a>” (Stanford Report)</li></ul> </body> </htm
 l>
DESCRIPTION: What if you could create plausible survey data with a few
  clicks? What if bots influence online surveys to push a certain narr
 ative? What if this is already happening? Join us for this panel disc
 ussion on the<strong>&nbsp;impact of AI on the research integrity of<
 /strong>&nbsp;<strong>online surveys</strong>.&nbsp;We'll be discussi
 ng how the increasing use of Artificial Intelligence (both by bots an
 d human participants) to complete surveys is compromising the integri
 ty of research data. We will&nbsp;analyze&nbsp;whether the trend to s
 imply collect more data still leads to better research outcomes when 
 data authenticity is at risk or if a pivot into a new way of research
  is required. The panel consists of: <ul>  <li><a href="https://resea
 rch.vu.nl/en/persons/philipp-k-masur/" data-new-window="true" title="
 dr. Philipp Masur" target="_blank" rel="noopener noreferrer"><strong>
 dr. Philipp Masur</strong></a>&nbsp;(FSH)</li>  <li><a href="https://
 research.vu.nl/en/persons/reinout-de-vries/" data-new-window="true" t
 itle="prof. Reinout de Vries" target="_blank" rel="noopener noreferre
 r"><strong>prof. Reinout de Vries</strong></a>&nbsp;(FBMS)&nbsp;</li>
   <li><a href="https://research.vu.nl/en/persons/anna-bon/" data-new-
 window="true" title="dr. Anna Bon" target="_blank" rel="noopener nore
 ferrer"><strong>dr. Anna Bon</strong></a><strong>&nbsp;</strong>(BETA
 )<br>&nbsp;</li></ul> Networking drinks are available after the panel
  session. In case you are interested in diving in deeper before the p
 anel discussion, here are some relevant readings: <ul>  <li>Sean J. W
 estwood, 2025, “<a href="https://www.pnas.org/doi/10.1073/pnas.2518
 075122">The potential existential threat of large language models to 
 online survey research</a>” (PNAS, also see this <a href="https://b
 sky.app/profile/joshmccrain.bsky.social/post/3m5wh7nmooc2v" title="Po
 st">Bluesky thread</a>)</li>  <li>Claire Zulkey, 2024, “<a href="ht
 tps://news.stanford.edu/stories/2024/11/ai-generated-survey-responses
 -could-make-research-less-accurate-lot-less-interesting">AI-generated
  survey responses could make research less accurate – and a lot les
 s interesting</a>” (Stanford Report)</li></ul> With the introductio
 n of AI, low-barrier online data collection methods are experiencing 
 an existential new threat to their integrity.
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