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Mike Hogan

@michaelhogan.bsky.social

Psychology, Neuroscience, Systems Science, Education, Collaboration, Graphicacy, Creativity, Pragmatism, Human Development, Cultural Evolution; Dad :) webpage: michaelhoganpsychology.com

4,956 Followers  |  2,991 Following  |  602 Posts  |  Joined: 20.10.2023  |  1.8589

Latest posts by michaelhogan.bsky.social on Bluesky

Post image 31.01.2026 15:01 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 1
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Welcome to class everyone

25.01.2026 18:42 β€” πŸ‘ 1    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
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Education for collective intelligence Collective Intelligence (CI) is important for groups that seek to address shared problems. CI in human groups can be mediated by educational technologies. The current paper presents a framework to ...

Education for collective intelligence

www.tandfonline.com/doi/full/10....

11.01.2026 10:26 β€” πŸ‘ 6    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
Using AI to Support Education for Collective Intelligence - UCL Discovery UCL Discovery is UCL's open access repository, showcasing and providing access to UCL research outputs from all UCL disciplines.

Open Access UCL Research: Using AI to Support Education for Collective Intelligence discovery.ucl.ac.uk/id/eprint/10...

16.01.2026 10:36 β€” πŸ‘ 1    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
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Using AI to Support Education for Collective Intelligence - International Journal of Artificial Intelligence in Education Artificial Intelligence (AI) is increasingly being used in education, but mostly to support individual teaching and learning. However, there are good reasons to think that thinking together and solvin...

Using AI to Support Education for Collective Intelligence

link.springer.com/article/10.1...

17.01.2026 15:09 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

TΓΆredi, D., & Penrod, S. D. (in press). AI-based Investigation of Filler selection Strategies. Law and Human Behavior.

Preprint -> www.researchgate.net/profile/Dilh...

17.01.2026 11:57 β€” πŸ‘ 1    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0

Just moved here from X (finally!). Here are some published research I shared there in the past year ➑️

17.01.2026 11:57 β€” πŸ‘ 3    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0
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#goodread

11.01.2026 17:33 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Education for collective intelligence Collective Intelligence (CI) is important for groups that seek to address shared problems. CI in human groups can be mediated by educational technologies. The current paper presents a framework to ...

Education for collective intelligence

www.tandfonline.com/doi/full/10....

11.01.2026 10:26 β€” πŸ‘ 6    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
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#goodread

04.01.2026 17:50 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
HRB Open Research Article: Collective intelligence informs mechanisms, protocol and toolkit to merge National Ambulance Service data and the Major Trauma Audit to inform the national trauma system. Read the latest article version by Frank Doyle, Owen M. Harney, Brid Moran, Nora A Donnelly, Liam Watts, Louise Brent, Siobhan Masterson, Rory Quinn, David Hennelly, Fiona Boland, Anne Hickey, Jan Sor...

New Today:

Collective intelligence informs mechanisms, protocol and toolkit to merge National Ambulance Service data and the Major Trauma Audit to inform the national trauma system

hrbopenresearch.org/articles/8-1...

22.12.2025 17:35 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Learning for Long Lives in the age of AI

Well done, @geoffmulgan.bsky.social πŸ‘

geoffmulgan.substack.com/p/learning-for…

20.12.2025 13:00 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
Post image 19.12.2025 16:47 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
Spotify – Web Player

A commentary on 'Big Mind: How Collective Intelligence can change our world'

Playing from 0:00
open.spotify.com/episode/7BSx...

14.12.2025 21:53 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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πŸ•Š

07.12.2025 12:30 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Add a slow, reflective member to your team πŸ˜‡
#CriticalThinking #CollectiveIntelligence #DecisionMaking #Teamwork #ThinkingFastandSlow

03.12.2025 12:01 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Very interesting πŸ‘

03.12.2025 11:59 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
Abstract: Speed–accuracy trade-offs are a fundamental aspect of decision-making, requiring individuals to balance collecting more information against making faster decisions. Although speed–accuracy trade-offs have been studied at the individual level, their role in human decision-making in social settings remains poorly understoodβ€”even though faster, and possibly more error-prone, decisions often have more social influence than slower decisions. We examined how individual differences in speed–accuracy trade-off preferences shape decision-making in pairs, using an interactive online experiment and drift–diffusion modelling. Participants first performed a perceptual task alone, allowing us to estimate their individual drift rates and decision thresholds, the key cognitive determinants of speed–accuracy trade-off preferences. They then performed the task in pairs, sharing decisions in real-time. Pair accuracy depended on the faster (and thus more error-prone) member, and not on the slower (but more accurate) member. Social decisions were not worse than individual ones because faster members increased their thresholds in the social condition and became more accurate, while slower members incorporated less social information. These findings show that individuals adjusted their social information use to the speed–accuracy trade-off preferences of their partners, highlighting the importance of such individual differences for understanding social behaviour.

Abstract: Speed–accuracy trade-offs are a fundamental aspect of decision-making, requiring individuals to balance collecting more information against making faster decisions. Although speed–accuracy trade-offs have been studied at the individual level, their role in human decision-making in social settings remains poorly understoodβ€”even though faster, and possibly more error-prone, decisions often have more social influence than slower decisions. We examined how individual differences in speed–accuracy trade-off preferences shape decision-making in pairs, using an interactive online experiment and drift–diffusion modelling. Participants first performed a perceptual task alone, allowing us to estimate their individual drift rates and decision thresholds, the key cognitive determinants of speed–accuracy trade-off preferences. They then performed the task in pairs, sharing decisions in real-time. Pair accuracy depended on the faster (and thus more error-prone) member, and not on the slower (but more accurate) member. Social decisions were not worse than individual ones because faster members increased their thresholds in the social condition and became more accurate, while slower members incorporated less social information. These findings show that individuals adjusted their social information use to the speed–accuracy trade-off preferences of their partners, highlighting the importance of such individual differences for understanding social behaviour.

"Individual differences in speed–accuracy trade-off influence social decision-making in dyads"

🚨Our paper has been published in Proceedings of the Royal Society B doi.org/10.1098/rspb...

w/ Alan Tump @alantump.bsky.social, Ralf Kurvers @ralfkurvers.bsky.social

@royalsocietypublishing.org

1/ πŸ§΅πŸ‘‡

16.07.2025 09:34 β€” πŸ‘ 36    πŸ” 12    πŸ’¬ 3    πŸ“Œ 0
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Majority rule can help solve difficult tasks even when confident members opt out to serve individual interests - Scientific Reports Scientific Reports - Majority rule can help solve difficult tasks even when confident members opt out to serve individual interests

Excellent experimental work from @kirikuroda.bsky.social and team:

Majority rule can help solve difficult tasks even when confident members opt out to serve individual interests

www.nature.com/articles/s41...

03.12.2025 11:56 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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πŸŽ„

20.11.2025 19:07 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Building a Framework to Support Human-AI Teamwork

michaelhoganpsychology.wordpress.com/wp-content/u...

18.11.2025 19:08 β€” πŸ‘ 2    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0

Building a Framework to Support Human-AI Teamwork

michaelhoganpsychology.wordpress.com/wp-content/u...

18.11.2025 19:08 β€” πŸ‘ 2    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
OSF

We have added a new paper to our OSF folder.

Hogan, M.J., Siwek, A. D., Dong, X., King, A., Kolodziej, A., Zhang, Y., Farrell, H., O'Brien, S., Kearney, L., Yuan, L. (2025). Building a Framework to Support Human-AI Teamwork. OSF. osf.io/fbkj8/files

lnkd.in/e4egT6QX

18.11.2025 19:07 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 1

Robots run wild

17.11.2025 19:43 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Winter arrives ❄️❄️

17.11.2025 18:33 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

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