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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:panel-discussion-is-ai-the-end@8F96275E-9F55-4B3F-A143-836282E12573
CREATED:20260920T110542
LOCATION:VU Main Building, 1105, HG-06A00, De Boelelaan, 1081 HV, Amsterdam
SUMMARY:Panel Discussion: Is AI the end of online survey data?
X-ALT-DESC;FMTTYPE=text/html: <html> <body> <p><p>With the introductio
 n of AI, low-barrier online data collection methods are experiencing 
 an existential new threat to their integrity.</p></p> <p>What if you 
 could create plausible survey data with a few clicks?</p><p>What if b
 ots influence 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</stron
 g>&nbsp;<strong>online surveys</strong>.&nbsp;We'll be discussing how
  the increasing use of Artificial Intelligence (both by bots and huma
 n participants) to complete surveys is compromising the integrity of 
 research data. We will&nbsp;analyze&nbsp;whether the trend to simply 
 collect more data still leads to better research outcomes when data a
 uthenticity is at risk or if a pivot into a new way of research is re
 quired.</p><p>The panel consists of:</p><ul>  <li><a href="https://re
 search.vu.nl/en/persons/philipp-k-masur/" data-new-window="true" titl
 e="dr. Philipp Masur" target="_blank" rel="noopener noreferrer"><stro
 ng>dr. Philipp Masur</strong></a>&nbsp;(FSH)</li>  <li><a href="https
 ://research.vu.nl/en/persons/reinout-de-vries/" data-new-window="true
 " title="prof. Reinout de Vries" target="_blank" rel="noopener norefe
 rrer"><strong>prof. Reinout de Vries</strong></a>&nbsp;(FBMS)&nbsp;</
 li>  <li><a href="https://research.vu.nl/en/persons/anna-bon/" data-n
 ew-window="true" title="dr. Anna Bon" target="_blank" rel="noopener n
 oreferrer"><strong>dr. Anna Bon</strong></a><strong>&nbsp;</strong>(B
 ETA)<br>&nbsp;</li></ul><p>Networking drinks are available after the 
 panel session.</p><p>In case you are interested in diving in deeper b
 efore the panel discussion, here are some relevant readings:</p><ul> 
  <li>Sean J. Westwood, 2025, “<a href="https://www.pnas.org/doi/10.
 1073/pnas.2518075122">The potential existential threat of large langu
 age models to online survey research</a>” (PNAS, also see this <a h
 ref="https://bsky.app/profile/joshmccrain.bsky.social/post/3m5wh7nmoo
 c2v" title="Post">Bluesky thread</a>)</li>  <li>Claire Zulkey, 2024, 
 “<a href="https://news.stanford.edu/stories/2024/11/ai-generated-su
 rvey-responses-could-make-research-less-accurate-lot-less-interesting
 ">AI-generated survey responses could make research less accurate –
  and a lot less interesting</a>” (Stanford Report)</li></ul> </body
 > </html>
DESCRIPTION: With the introduction of AI, low-barrier online data coll
 ection methods are experiencing an existential new threat to their in
 tegrity. What if you could create plausible survey data with a few cl
 icks?What if bots influence online surveys to push a certain narrativ
 e?What if this is already happening?Join us for this panel discussion
  on the<strong>&nbsp;impact of AI on the research integrity of</stron
 g>&nbsp;<strong>online surveys</strong>.&nbsp;We'll be discussing how
  the increasing use of Artificial Intelligence (both by bots and huma
 n participants) to complete surveys is compromising the integrity of 
 research data. We will&nbsp;analyze&nbsp;whether the trend to simply 
 collect more data still leads to better research outcomes when data a
 uthenticity is at risk or if a pivot into a new way of research is re
 quired.The panel consists of:<ul>  <li><a href="https://research.vu.n
 l/en/persons/philipp-k-masur/" data-new-window="true" title="dr. Phil
 ipp Masur" target="_blank" rel="noopener noreferrer"><strong>dr. Phil
 ipp Masur</strong></a>&nbsp;(FSH)</li>  <li><a href="https://research
 .vu.nl/en/persons/reinout-de-vries/" data-new-window="true" title="pr
 of. Reinout de Vries" target="_blank" rel="noopener noreferrer"><stro
 ng>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 noreferrer">
 <strong>dr. Anna Bon</strong></a><strong>&nbsp;</strong>(BETA)<br>&nb
 sp;</li></ul>Networking drinks are available after the panel session.
 In case you are interested in diving in deeper before the panel discu
 ssion, here are some relevant readings:<ul>  <li>Sean J. Westwood, 20
 25, “<a href="https://www.pnas.org/doi/10.1073/pnas.2518075122">The
  potential existential threat of large language models to online surv
 ey research</a>” (PNAS, also see this <a href="https://bsky.app/pro
 file/joshmccrain.bsky.social/post/3m5wh7nmooc2v" title="Post">Bluesky
  thread</a>)</li>  <li>Claire Zulkey, 2024, “<a href="https://news.
 stanford.edu/stories/2024/11/ai-generated-survey-responses-could-make
 -research-less-accurate-lot-less-interesting">AI-generated survey res
 ponses could make research less accurate – and a lot less interesti
 ng</a>” (Stanford Report)</li></ul>
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