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William Orwig

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William Orwig
Orwig.jpg Orwig.jpg
Born
🎓 Alma mater
💼 Occupation
Known for
  • Neuroscience of creativity
  • Semantic distance measures of creativity
  • Creative writing research in humans and artificial intelligence
🌐 Websitewww.willorwig.com

William Orwig is a psychology researcher and cognitive neuroscientist whose work focuses on the cognitive and neural mechanisms underlying creativity, imagination, and memory. He is a PhD candidate in the Department of Psychology at Harvard University, where he works in the Schacter Memory Lab, and has published research on the neuroscience of creative thinking, the role of mind-wandering in creativity, and computational analyses of creative writing in humans and large language models.[1][2][3]

Early life and education

Orwig received a bachelor's degree in cognitive science from the University of Michigan. After graduating he spent two years in Medellín, Colombia, on a Fulbright Scholarship.[4][2] He later completed a master's degree at the Harvard Graduate School of Education before beginning doctoral study in psychology at Harvard University.[2]

Career

Following his master's degree, Orwig worked as a research coordinator in Jorge Sepulcre's lab at Massachusetts General Hospital, where he contributed to neuroimaging and connectomics projects.[2][5] He then joined Daniel Schacter's Memory Lab in the Department of Psychology at Harvard University as a PhD student, focusing on questions at the intersection of memory, imagination, and creativity.[1][2] Orwig is affiliated with the Harvard Brain Science Initiative and has presented his work on the neuroscience of creativity in departmental and interdisciplinary venues, including a Neurolunch seminar at Harvard's Center for Brain Science.[3][6]

Research

Orwig's research combines behavioral experiments, functional magnetic resonance imaging (fMRI), graph theory, and computational linguistics to study creative cognition.[5] In his early work he and his collaborators introduced the use of semantic distance; computational estimates of conceptual dissimilarity between words—to provide automated scores of performance on divergent thinking tasks. In a large sample of adults they showed that semantic-distance-based measures of creativity closely tracked human ratings of originality and were associated with reduced resting-state functional connectivity in visual-temporal and parietal cortex, suggesting that more creative thinkers show distinct large-scale network organization at rest.[7]

Building on this approach, Orwig led a connectomic–transcriptomic study that linked individual differences in creative ability to patterns of cortical gene expression. Using graph-theoretic measures of local and distributed connectivity, his group identified network configurations related to higher creative performance and found that these connectivity maps closely mirrored the spatial expression of gene sets involved in synaptic assembly and signaling, implicating synaptic plasticity mechanisms in creative thought.[8]

Orwig has also examined creativity in expert populations. In a study of creative professionals, he and colleagues used high-resolution voxel-wise connectivity analyses to compare resting-state brain networks in creative experts and matched controls. The work replicated prior findings of reduced connectivity between primary visual cortex and the rest of the brain in more creative individuals and showed that, among experts, lower connectivity of lateral visual regions was associated with more vivid imagination of distant future events, highlighting a link between creative expertise, perceptual decoupling, and distal simulation.[9]

A further line of work investigates self-generated thought and mind wandering. Orwig and co-authors distinguished intentional from unintentional mind wandering and found that both forms were positively related to creative performance, but were associated with partially distinct patterns of functional connectivity in default mode network and prefrontal regions.[10] This research supports the idea that letting attention drift away from the external environment can facilitate insight and idea generation, and that deliberate as well as spontaneous modes of mind wandering contribute to creativity.

Beyond network-level analyses, Orwig has used computational linguistic methods to characterize creative writing. In a series of studies he and colleagues collected short stories written by human participants and by large language models such as GPT-3 and GPT-4, then quantified properties of the texts and compared human and AI creativity. They reported that narratives with greater semantic diversity and richer perceptual detail received higher creativity ratings, and that stories produced by large language models were rated as similarly creative to human stories; moreover, creativity ratings generated by GPT‑4 correlated strongly with human judgments.[11][3] These findings suggest that both semantic and episodic features contribute to creative storytelling and that current language models can approximate some aspects of human creative expression.

In later work, Orwig has focused on how people evaluate ideas. Using language-based markers of episodic retrieval, he and collaborators showed that people tend to rely more on past-oriented, experience-based thinking when judging the effectiveness of familiar ideas, and more on future-oriented simulation when assessing the novelty of unusual ideas, supporting a role for constructive episodic memory in creative evaluation.[12] He has also investigated non-linear relations between semantic distance and perceived creativity, finding evidence for a "sweet spot" in which increasing conceptual distance boosts creativity ratings up to a threshold, beyond which additional distance no longer makes ideas seem more creative.[13]

References

  1. 1.0 1.1 "William Orwig". Department of Psychology. Harvard University. Retrieved 28 December 2025.
  2. 2.0 2.1 2.2 2.3 2.4 "Meet our Lab – Harvard University's Schacter Memory Lab". Schacter Memory Lab. Harvard University. Retrieved 28 December 2025.
  3. 3.0 3.1 3.2 "Let Me Tell You a Story: Creative Writing in Humans and Large Language Models". Harvard Brain Science Initiative. Harvard University. 2024. Retrieved 28 December 2025.
  4. "will orwig". Will Orwig. Retrieved 28 December 2025.
  5. 5.0 5.1 "Research". Will Orwig. Retrieved 28 December 2025.
  6. "Neurolunch: Will Orwig (Schacter lab)". Center for Brain Science. Harvard University. 16 October 2024. Retrieved 28 December 2025.
  7. Orwig, William; Diez, Ibai; Vannini, Patrizia; Beaty, Roger E.; Sepulcre, Jorge (7 December 2020). "Creative Connections: Computational Semantic Distance Captures Individual Creativity and Resting-State Functional Connectivity". Journal of Cognitive Neuroscience. 33 (3): 499–509. doi:10.1162/jocn_a_01658. PMC 8826533 Check |pmc= value (help). PMID 33284079 Check |pmid= value (help).
  8. Orwig, William; Diez, Ibai; Bueichekú, Elisenda; Vannini, Patrizia; Beaty, Roger; Sepulcre, Jorge (26 July 2021). "Cortical Networks of Creative Ability Trace Gene Expression Profiles of Synaptic Plasticity in the Human Brain". Frontiers in Human Neuroscience. 15. doi:10.3389/fnhum.2021.694274. PMC 8350487 Check |pmc= value (help). PMID 34381343 Check |pmid= value (help). Unknown parameter |article-number= ignored (help)
  9. Orwig, William; Setton, Roni; Diez, Ibai; Bueichekú, Elisenda; Meyer, Meghan L.; Tamir, Diana I.; Sepulcre, Jorge; Schacter, Daniel L. (1 October 2023). "Creativity at rest: Exploring functional network connectivity of creative experts". Network Neuroscience. 7 (3): 1022–1033. doi:10.1162/netn_a_00317. PMC 10473280 Check |pmc= value (help). PMID 37781148 Check |pmid= value (help).
  10. Orwig, William; Diez, Ibai; Bueichekú, Elisenda; Kelly, Christopher A.; Sepulcre, Jorge; Schacter, Daniel L. (19 September 2022). "Intentionality of Self-Generated Thought: Contributions of Mind Wandering to Creativity". Creativity Research Journal. 35 (3): 471–480. doi:10.1080/10400419.2022.2120286. PMC 10414778 Check |pmc= value (help). PMID 37576950 Check |pmid= value (help).
  11. Orwig, William; Edenbaum, Emma R.; Greene, Joshua D.; Schacter, Daniel L. (11 January 2024). "The Language of Creativity: Evidence from Humans and Large Language Models". The Journal of Creative Behavior. 58 (1): 128–136. doi:10.1002/jocb.636. PMC 11065427 Check |pmc= value (help). PMID 38698795 Check |pmid= value (help).
  12. Orwig, William; Beaty, Roger E.; Benedek, Mathias; Schacter, Daniel L. (5 March 2024). "Creative Evaluation: The Role of Memory in Novelty & Effectiveness Judgements". Creativity Research Journal. 37 (3): 514–522. doi:10.1080/10400419.2024.2322856. PMC 12270340 Check |pmc= value (help). PMID 40688729 Check |pmid= value (help).
  13. Orwig, William; Luchini, Simone; Beaty, Roger E.; Schacter, Daniel L. (23 June 2025). "A 'Sweet Spot' for Creative Ideation: Non-Linear Associations Between Semantic Distance and Creativity". The Journal of Creative Behavior. 59 (3). doi:10.1002/jocb.70041. Unknown parameter |article-number= ignored (help)

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