Christopher J Lynch
researcher (data analysis and modelling)
Facts
9 properties- Instance of
- human
- Occupation
- researcher
- Employer
- Old Dominion University (2013–2023)[2]
- Educated at
- Old Dominion University (2007–2011)[3]
- Official website
- www.odu.edu[7]
- Given name
- Christopher[6]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en Christopher J Lynch
en Christopher Lynch
🔖 Identifiers · 6
- ORCID iD
- 0000-0002-4830-7488
- VIAF cluster ID
- 32154739790352990080
- Library of Congress authority ID
- no2019003620
- DBLP author ID
- 138/7034
- Google Scholar author ID
- pxbCsoQAAAAJ
- WorldCat Entities ID
- E39PBJfxcVCFwHvtxc7rBP7j4q
🔗 Connections
Author of 8
A Generative Model of the Mutual Escalation of Anxiety Between Religious Groups,
Aging out of crime: exploring the relationship between age and crime with agent based modeling,
A Structured Narrative Prompt for Prompting Narratives from Large Language Models: Sentiment Assessment of ChatGPT-Generated Narratives and Real Tweets,
A taxonomy for classifying terminologies that describe simulations with multiple models,
Big data, agents, and machine learning: towards a data-driven agent-based modeling approach,
Multiple Axialities: A Computational Model of the Axial Age,
Observations on the practice and profession of modeling and simulation: A survey approach,
Temporal and spatiotemporal investigation of tourist attraction visit sentiment on Twitter
← Authored by 8
A Generative Model of the Mutual Escalation of Anxiety Between Religious Groups,
Aging out of crime: exploring the relationship between age and crime with agent based modeling,
A Structured Narrative Prompt for Prompting Narratives from Large Language Models: Sentiment Assessment of ChatGPT-Generated Narratives and Real Tweets,
A taxonomy for classifying terminologies that describe simulations with multiple models,
Big data, agents, and machine learning: towards a data-driven agent-based modeling approach,
Multiple Axialities: A Computational Model of the Axial Age,
Observations on the practice and profession of modeling and simulation: A survey approach,
Temporal and spatiotemporal investigation of tourist attraction visit sentiment on Twitter
Affiliated with 3
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