https://chasemgrimm.com/publications/research#graph https://bighouseenterprise.com/#organization-big-house-enterprise http://schema.org/description Big House Enterprise is an AI-native entity engineering firm that builds algorithmic authority for people, brands, and companies across AI platforms. https://bighouseenterprise.com/#organization-big-house-enterprise http://schema.org/name Big House Enterprise https://bighouseenterprise.com/#organization-big-house-enterprise http://schema.org/sameAs https://lei.bloomberg.com/leis/view/254900PDJFA7CEG5JE91 https://bighouseenterprise.com/#organization-big-house-enterprise http://schema.org/sameAs https://pressroom.prlog.org/BigHouseEnterprise/ https://bighouseenterprise.com/#organization-big-house-enterprise http://schema.org/sameAs https://www.bbb.org/us/ia/johnston/profile/artificial-intelligence/big-house-enterprise-llc-0664-32159365 https://bighouseenterprise.com/#organization-big-house-enterprise http://schema.org/sameAs https://www.crunchbase.com/organization/big-house-enterprise https://bighouseenterprise.com/#organization-big-house-enterprise http://schema.org/sameAs https://www.f6s.com/big-house-enterprise/ https://bighouseenterprise.com/#organization-big-house-enterprise http://schema.org/sameAs https://www.google.com/search?kgmid=/g/11xztrvrl2 https://bighouseenterprise.com/#organization-big-house-enterprise http://schema.org/sameAs https://www.linkedin.com/company/big-house-enterprise https://bighouseenterprise.com/#organization-big-house-enterprise http://schema.org/sameAs https://www.wikidata.org/wiki/Q139918459 https://bighouseenterprise.com/#organization-big-house-enterprise http://schema.org/url https://bighouseenterprise.com https://chasemgrimm.com/#country-united-states http://schema.org/name United States https://chasemgrimm.com/#country-united-states http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Country https://chasemgrimm.com/#credential-bachelor-of-science-in-industrial-engineering http://schema.org/credentialCategory degree https://chasemgrimm.com/#credential-bachelor-of-science-in-industrial-engineering http://schema.org/dateCreated 2017 https://chasemgrimm.com/#credential-bachelor-of-science-in-industrial-engineering http://schema.org/name Bachelor of Science in Industrial Engineering https://chasemgrimm.com/#credential-bachelor-of-science-in-industrial-engineering http://schema.org/recognizedBy https://chasemgrimm.com/#eduorg-iowa-state-university https://chasemgrimm.com/#credential-bachelor-of-science-in-industrial-engineering http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/EducationalOccupationalCredential https://chasemgrimm.com/#definedterm-algorithmic-trading http://schema.org/description Developing quantitative trading strategies that apply systems engineering principles to financial markets. Focus on systematic approaches that leverage the same foundational methods used in other technical domains. https://chasemgrimm.com/#definedterm-algorithmic-trading http://schema.org/name Algorithmic Trading https://chasemgrimm.com/#definedterm-algorithmic-trading http://schema.org/sameAs https://www.google.com/search?kgmid=/m/07h5dh https://chasemgrimm.com/#definedterm-algorithmic-trading http://schema.org/termCode intermediate, 4 years https://chasemgrimm.com/#definedterm-algorithmic-trading http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/DefinedTerm https://chasemgrimm.com/#definedterm-human-factors-engineering http://schema.org/description Conducting user research and designing systems that account for operator knowledge, preferences, and cognitive limitations. Experience validating simulator fidelity and developing knowledge assessment instruments for population segmentation. https://chasemgrimm.com/#definedterm-human-factors-engineering http://schema.org/name Human Factors Engineering https://chasemgrimm.com/#definedterm-human-factors-engineering http://schema.org/sameAs https://www.google.com/search?kgmid=/m/02m8q https://chasemgrimm.com/#definedterm-human-factors-engineering http://schema.org/termCode intermediate, 3 years https://chasemgrimm.com/#definedterm-human-factors-engineering http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/DefinedTerm https://chasemgrimm.com/#definedterm-machine-learning http://schema.org/description Developing and deploying machine learning models for classification, prediction, and pattern recognition. Applications span scientific trend forecasting, traffic incident prediction, and financial signal extraction. https://chasemgrimm.com/#definedterm-machine-learning http://schema.org/name Machine Learning https://chasemgrimm.com/#definedterm-machine-learning http://schema.org/sameAs https://www.google.com/search?kgmid=/m/01hyh_ https://chasemgrimm.com/#definedterm-machine-learning http://schema.org/termCode advanced, 7 years https://chasemgrimm.com/#definedterm-machine-learning http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/DefinedTerm https://chasemgrimm.com/#definedterm-natural-language-processing http://schema.org/description Designing and implementing NLP pipelines for extracting structured information from unstructured text. Experience spans scientific literature mining, financial document analysis, and crowdsourced data processing. Core competencies include named entity recognition, relationship extraction, topic modeling, and trend analysis at scale. https://chasemgrimm.com/#definedterm-natural-language-processing http://schema.org/name Natural Language Processing https://chasemgrimm.com/#definedterm-natural-language-processing http://schema.org/sameAs https://www.google.com/search?kgmid=/m/05flf https://chasemgrimm.com/#definedterm-natural-language-processing http://schema.org/termCode expert, 7 years https://chasemgrimm.com/#definedterm-natural-language-processing http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/DefinedTerm https://chasemgrimm.com/#definedterm-operations-research http://schema.org/description Applying optimization and statistical methods to improve decision-making in investment and operational contexts. Experience with portfolio optimization, resource allocation, and process improvement across equities, fixed income, and asset management divisions. https://chasemgrimm.com/#definedterm-operations-research http://schema.org/name Operations Research https://chasemgrimm.com/#definedterm-operations-research http://schema.org/sameAs https://www.google.com/search?kgmid=/m/0bx8h https://chasemgrimm.com/#definedterm-operations-research http://schema.org/termCode advanced, 6 years https://chasemgrimm.com/#definedterm-operations-research http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/DefinedTerm https://chasemgrimm.com/#definedterm-systems-engineering http://schema.org/description Applying rigorous systems thinking to decompose complex problems across diverse domains. Expertise in requirements analysis, functional decomposition, interface design, and tradeoff analysis. Philosophy centers on the belief that good systems engineering makes any problem approachable. https://chasemgrimm.com/#definedterm-systems-engineering http://schema.org/name Systems Engineering https://chasemgrimm.com/#definedterm-systems-engineering http://schema.org/sameAs https://www.google.com/search?kgmid=/m/06xj3 https://chasemgrimm.com/#definedterm-systems-engineering http://schema.org/termCode expert, 10 years https://chasemgrimm.com/#definedterm-systems-engineering http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/DefinedTerm https://chasemgrimm.com/#definedterm-text-analytics http://schema.org/description Building text analytics infrastructure for processing unstructured data at scale. Specialization in financial and enterprise domains including regulatory filings, earnings calls, and corporate communications. Experience extracting risk signals and causal relationships from document corpora. https://chasemgrimm.com/#definedterm-text-analytics http://schema.org/name Text Analytics https://chasemgrimm.com/#definedterm-text-analytics http://schema.org/sameAs https://www.google.com/search?kgmid=/m/01v59d https://chasemgrimm.com/#definedterm-text-analytics http://schema.org/termCode expert, 8 years https://chasemgrimm.com/#definedterm-text-analytics http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/DefinedTerm https://chasemgrimm.com/#definedterm-virtual-reality-simulation http://schema.org/description Evaluating and validating VR systems for training and research applications. Experience assessing simulator fidelity through structured user studies and developing validation methodologies for mixed-reality interfaces. https://chasemgrimm.com/#definedterm-virtual-reality-simulation http://schema.org/name Virtual Reality Simulation https://chasemgrimm.com/#definedterm-virtual-reality-simulation http://schema.org/sameAs https://www.google.com/search?kgmid=/m/07_ny https://chasemgrimm.com/#definedterm-virtual-reality-simulation http://schema.org/termCode intermediate, 3 years https://chasemgrimm.com/#definedterm-virtual-reality-simulation http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/DefinedTerm https://chasemgrimm.com/#eduorg-iowa-state-university-alumniof http://schema.org/alumniOf https://chasemgrimm.com/#eduorg-iowa-state-university https://chasemgrimm.com/#eduorg-iowa-state-university-alumniof http://schema.org/endDate 2017 https://chasemgrimm.com/#eduorg-iowa-state-university-alumniof http://schema.org/roleName Bachelor of Science, Industrial Engineering https://chasemgrimm.com/#eduorg-iowa-state-university-alumniof http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/OrganizationRole https://chasemgrimm.com/#eduorg-iowa-state-university http://schema.org/name Iowa State University https://chasemgrimm.com/#eduorg-iowa-state-university http://schema.org/sameAs https://www.google.com/search?kgmid=/m/03v6t https://chasemgrimm.com/#eduorg-iowa-state-university http://schema.org/url https://www.iastate.edu/ https://chasemgrimm.com/#eduorg-iowa-state-university http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/CollegeOrUniversity https://chasemgrimm.com/#image-b63e13c2-thumbnail http://schema.org/contentUrl https://images.bighouseenterprise.com/chase-grimm/chase-grimm/primary/chase-pfp-d045a2-thumb.webp https://chasemgrimm.com/#image-b63e13c2-thumbnail http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/ImageObject https://chasemgrimm.com/#image-b63e13c2 http://schema.org/about https://chasemgrimm.com/#person-chase-grimm https://chasemgrimm.com/#image-b63e13c2 http://schema.org/caption Chase Grimm Headshot https://chasemgrimm.com/#image-b63e13c2 http://schema.org/contentUrl https://images.bighouseenterprise.com/chase-grimm/chase-grimm/primary/chase-pfp-d045a2.webp https://chasemgrimm.com/#image-b63e13c2 http://schema.org/copyrightYear 2026 https://chasemgrimm.com/#image-b63e13c2 http://schema.org/description Chase Grimm Headshot https://chasemgrimm.com/#image-b63e13c2 http://schema.org/encodingFormat image/webp https://chasemgrimm.com/#image-b63e13c2 http://schema.org/height 360 https://chasemgrimm.com/#image-b63e13c2 http://schema.org/name Chase Grimm Headshot https://chasemgrimm.com/#image-b63e13c2 http://schema.org/thumbnail https://chasemgrimm.com/#image-b63e13c2-thumbnail https://chasemgrimm.com/#image-b63e13c2 http://schema.org/url https://images.bighouseenterprise.com/chase-grimm/chase-grimm/primary/chase-pfp-d045a2.webp https://chasemgrimm.com/#image-b63e13c2 http://schema.org/width 360 https://chasemgrimm.com/#image-b63e13c2 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/ImageObject https://chasemgrimm.com/#occupation-alliant-engineer-role http://schema.org/hasOccupation https://chasemgrimm.com/#occupation-alliant-engineer https://chasemgrimm.com/#occupation-alliant-engineer-role http://schema.org/roleName Engineer at Alliant https://chasemgrimm.com/#occupation-alliant-engineer-role http://schema.org/startDate 2026-09-07 https://chasemgrimm.com/#occupation-alliant-engineer-role http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Role https://chasemgrimm.com/#occupation-alliant-engineer http://schema.org/name Engineer https://chasemgrimm.com/#occupation-alliant-engineer http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Occupation https://chasemgrimm.com/#occupation-big-house-enterprise-partner-role http://schema.org/hasOccupation https://chasemgrimm.com/#occupation-big-house-enterprise-partner https://chasemgrimm.com/#occupation-big-house-enterprise-partner-role http://schema.org/roleName Partner at Big House Enterprise https://chasemgrimm.com/#occupation-big-house-enterprise-partner-role http://schema.org/startDate 2025-11-01 https://chasemgrimm.com/#occupation-big-house-enterprise-partner-role http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Role https://chasemgrimm.com/#occupation-big-house-enterprise-partner http://schema.org/description Pioneering entity engineering to build algorithmic authority for companies, brands, and executives across AI search platforms. We design machine-readable entity infrastructure so systems like ChatGPT, Perplexity, Claude, and Google accurately recognize, cite, and recommend your business. https://chasemgrimm.com/#occupation-big-house-enterprise-partner http://schema.org/name Partner https://chasemgrimm.com/#occupation-big-house-enterprise-partner http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Occupation https://chasemgrimm.com/#occupation-consilience-ai-senior-engineer-role http://schema.org/endDate 2025-10-01 https://chasemgrimm.com/#occupation-consilience-ai-senior-engineer-role http://schema.org/hasOccupation https://chasemgrimm.com/#occupation-consilience-ai-senior-engineer https://chasemgrimm.com/#occupation-consilience-ai-senior-engineer-role http://schema.org/roleName Senior Engineer at Consilience AI https://chasemgrimm.com/#occupation-consilience-ai-senior-engineer-role http://schema.org/startDate 2022-01-01 https://chasemgrimm.com/#occupation-consilience-ai-senior-engineer-role http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Role https://chasemgrimm.com/#occupation-consilience-ai-senior-engineer http://schema.org/description Senior Engineer at Consilience AI, building specialized language models for financial and enterprise domains—extracting risk signals and causal relationships from regulatory filings, earnings calls, and corporate communications. https://chasemgrimm.com/#occupation-consilience-ai-senior-engineer http://schema.org/name Senior Engineer https://chasemgrimm.com/#occupation-consilience-ai-senior-engineer http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Occupation https://chasemgrimm.com/#occupation-iowa-state-university-tutor-role http://schema.org/endDate 2015-05-31 https://chasemgrimm.com/#occupation-iowa-state-university-tutor-role http://schema.org/hasOccupation https://chasemgrimm.com/#occupation-iowa-state-university-tutor https://chasemgrimm.com/#occupation-iowa-state-university-tutor-role http://schema.org/roleName Tutor at Iowa State University https://chasemgrimm.com/#occupation-iowa-state-university-tutor-role http://schema.org/startDate 2015-02-01 https://chasemgrimm.com/#occupation-iowa-state-university-tutor-role http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Role https://chasemgrimm.com/#occupation-iowa-state-university-tutor http://schema.org/description Facilitated group discussions with up to four students. Utilized knowledge of subject matter to tutor and share knowledge with peers. https://chasemgrimm.com/#occupation-iowa-state-university-tutor http://schema.org/name Tutor https://chasemgrimm.com/#occupation-iowa-state-university-tutor http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Occupation https://chasemgrimm.com/#occupation-iowa-state-university-undergraduate-research-assistant-role http://schema.org/endDate 2017-12-31 https://chasemgrimm.com/#occupation-iowa-state-university-undergraduate-research-assistant-role http://schema.org/hasOccupation https://chasemgrimm.com/#occupation-iowa-state-university-undergraduate-research-assistant https://chasemgrimm.com/#occupation-iowa-state-university-undergraduate-research-assistant-role http://schema.org/roleName Undergraduate Research Assistant at Iowa State University https://chasemgrimm.com/#occupation-iowa-state-university-undergraduate-research-assistant-role http://schema.org/startDate 2015-04-01 https://chasemgrimm.com/#occupation-iowa-state-university-undergraduate-research-assistant-role http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Role https://chasemgrimm.com/#occupation-iowa-state-university-undergraduate-research-assistant http://schema.org/description Undergraduate Research Assistant in Industrial Engineering at Iowa State University—conducted user studies for agricultural technology, developed Android applications for equipment automation, and built predictive models for irregular traffic using web/social media data and text mining in R. https://chasemgrimm.com/#occupation-iowa-state-university-undergraduate-research-assistant http://schema.org/name Undergraduate Research Assistant https://chasemgrimm.com/#occupation-iowa-state-university-undergraduate-research-assistant http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Occupation https://chasemgrimm.com/#occupation-optum-uxui-software-development-intern-role http://schema.org/endDate 2017-08-31 https://chasemgrimm.com/#occupation-optum-uxui-software-development-intern-role http://schema.org/hasOccupation https://chasemgrimm.com/#occupation-optum-uxui-software-development-intern https://chasemgrimm.com/#occupation-optum-uxui-software-development-intern-role http://schema.org/roleName UX/UI Software Development Intern at Optum https://chasemgrimm.com/#occupation-optum-uxui-software-development-intern-role http://schema.org/startDate 2017-06-01 https://chasemgrimm.com/#occupation-optum-uxui-software-development-intern-role http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Role https://chasemgrimm.com/#occupation-optum-uxui-software-development-intern http://schema.org/description UI/UX Software Development Intern at Optum Health, contributing to a team-based software redesign with emphasis on user research and secure web development in Spring. https://chasemgrimm.com/#occupation-optum-uxui-software-development-intern http://schema.org/name UX/UI Software Development Intern https://chasemgrimm.com/#occupation-optum-uxui-software-development-intern http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Occupation https://chasemgrimm.com/#occupation-principal-financial-group-data-operations-research-scientist-role http://schema.org/endDate 2022-01-31 https://chasemgrimm.com/#occupation-principal-financial-group-data-operations-research-scientist-role http://schema.org/hasOccupation https://chasemgrimm.com/#occupation-principal-financial-group-data-operations-research-scientist https://chasemgrimm.com/#occupation-principal-financial-group-data-operations-research-scientist-role http://schema.org/roleName Data & Operations Research Scientist at Principal Financial Group https://chasemgrimm.com/#occupation-principal-financial-group-data-operations-research-scientist-role http://schema.org/startDate 2017-12-01 https://chasemgrimm.com/#occupation-principal-financial-group-data-operations-research-scientist-role http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Role https://chasemgrimm.com/#occupation-principal-financial-group-data-operations-research-scientist http://schema.org/description Data & Operations Research Scientist applying optimization and statistical methods across Principal's investment divisions to improve portfolio performance and operational efficiency in equities, fixed income, and asset management. https://chasemgrimm.com/#occupation-principal-financial-group-data-operations-research-scientist http://schema.org/name Data & Operations Research Scientist https://chasemgrimm.com/#occupation-principal-financial-group-data-operations-research-scientist http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Occupation https://chasemgrimm.com/#occupation-rockwell-collins-master-scheduling-data-consolidation-9771e8-role http://schema.org/endDate 2017-03-31 https://chasemgrimm.com/#occupation-rockwell-collins-master-scheduling-data-consolidation-9771e8-role http://schema.org/hasOccupation https://chasemgrimm.com/#occupation-rockwell-collins-master-scheduling-data-consolidation-9771e8 https://chasemgrimm.com/#occupation-rockwell-collins-master-scheduling-data-consolidation-9771e8-role http://schema.org/roleName Master Scheduling Data Consolidation Analyst, Senior Intern at Rockwell Collins https://chasemgrimm.com/#occupation-rockwell-collins-master-scheduling-data-consolidation-9771e8-role http://schema.org/startDate 2016-05-01 https://chasemgrimm.com/#occupation-rockwell-collins-master-scheduling-data-consolidation-9771e8-role http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Role https://chasemgrimm.com/#occupation-rockwell-collins-master-scheduling-data-consolidation-9771e8 http://schema.org/description Master Scheduling Data Consolidation Analyst (Senior Intern) at Collins Aerospace—built web-based tools to consolidate disparate datasets and provided analytics aligning cost of sales with production plans across inventory, customer satisfaction, and business KPIs. Tech stack: Excel, VBA, R, Python, SQL, SAP, Access. https://chasemgrimm.com/#occupation-rockwell-collins-master-scheduling-data-consolidation-9771e8 http://schema.org/name Master Scheduling Data Consolidation Analyst, Senior Intern https://chasemgrimm.com/#occupation-rockwell-collins-master-scheduling-data-consolidation-9771e8 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Occupation https://chasemgrimm.com/#org-consilience-ai http://schema.org/name Consilience AI https://chasemgrimm.com/#org-consilience-ai http://schema.org/url https://consilience.ai/ https://chasemgrimm.com/#org-consilience-ai http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Organization https://chasemgrimm.com/#org-nasa-johnson-space-center-affiliation http://schema.org/affiliation https://chasemgrimm.com/#org-nasa-johnson-space-center https://chasemgrimm.com/#org-nasa-johnson-space-center-affiliation http://schema.org/description Micro-g NExT Competition participant. Developed an EVA Surface Sampling Device (SSD) with a team of peer engineering students. Designed and built multiple prototypes using 3D printing. Traveled to NASA Neutral Buoyancy Lab to test the device and gave multiple presentations. https://chasemgrimm.com/#org-nasa-johnson-space-center-affiliation http://schema.org/endDate 2015-08-31 https://chasemgrimm.com/#org-nasa-johnson-space-center-affiliation http://schema.org/roleName collaborator https://chasemgrimm.com/#org-nasa-johnson-space-center-affiliation http://schema.org/startDate 2015-02-01 https://chasemgrimm.com/#org-nasa-johnson-space-center-affiliation http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/OrganizationRole https://chasemgrimm.com/#org-nasa-johnson-space-center http://schema.org/name NASA Johnson Space Center https://chasemgrimm.com/#org-nasa-johnson-space-center http://schema.org/sameAs https://www.google.com/search?kgmid=/m/0d_q3 https://chasemgrimm.com/#org-nasa-johnson-space-center http://schema.org/url https://www.nasa.gov/johnson/ https://chasemgrimm.com/#org-nasa-johnson-space-center http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Organization https://chasemgrimm.com/#periodical-2017-systems-and-information-engineering-design-sympo-2bacdd http://schema.org/name 2017 Systems and Information Engineering Design Symposium (SIEDS) https://chasemgrimm.com/#periodical-2017-systems-and-information-engineering-design-sympo-2bacdd http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Periodical https://chasemgrimm.com/#periodical-computers-and-electronics-in-agriculture http://schema.org/name Computers and Electronics in Agriculture https://chasemgrimm.com/#periodical-computers-and-electronics-in-agriculture http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Periodical https://chasemgrimm.com/#periodical-journal-of-proteome-research http://schema.org/name Journal of Proteome Research https://chasemgrimm.com/#periodical-journal-of-proteome-research http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Periodical https://chasemgrimm.com/#periodical-proceedings-of-the-human-factors-and-ergonomics-socie-12c8a1 http://schema.org/name Proceedings of the Human Factors and Ergonomics Society Annual Meeting https://chasemgrimm.com/#periodical-proceedings-of-the-human-factors-and-ergonomics-socie-12c8a1 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Periodical https://chasemgrimm.com/#person-chase-grimm-birth-place-address http://schema.org/addressCountry United States https://chasemgrimm.com/#person-chase-grimm-birth-place-address http://schema.org/addressRegion Iowa https://chasemgrimm.com/#person-chase-grimm-birth-place-address http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/PostalAddress https://chasemgrimm.com/#person-chase-grimm-birth-place http://schema.org/address https://chasemgrimm.com/#person-chase-grimm-birth-place-address https://chasemgrimm.com/#person-chase-grimm-birth-place http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Place https://chasemgrimm.com/#person-chase-grimm-contact-general http://schema.org/contactType General https://chasemgrimm.com/#person-chase-grimm-contact-general http://schema.org/email contact@chasemgrimm.com https://chasemgrimm.com/#person-chase-grimm-contact-general http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/ContactPoint https://chasemgrimm.com/#person-chase-grimm http://schema.org/additionalName Morgan https://chasemgrimm.com/#person-chase-grimm http://schema.org/affiliation https://chasemgrimm.com/#org-nasa-johnson-space-center-affiliation https://chasemgrimm.com/#person-chase-grimm http://schema.org/alumniOf https://chasemgrimm.com/#eduorg-iowa-state-university-alumniof https://chasemgrimm.com/#person-chase-grimm http://schema.org/award Academic All-State Football (Iowa High School Athletic Association) https://chasemgrimm.com/#person-chase-grimm http://schema.org/award Dean's List (Iowa State University) https://chasemgrimm.com/#person-chase-grimm http://schema.org/award Governor's Scholar Recipient (State of Iowa) https://chasemgrimm.com/#person-chase-grimm http://schema.org/award KWWL Best of Class (KWWL) https://chasemgrimm.com/#person-chase-grimm http://schema.org/award Valedictorian (High School) https://chasemgrimm.com/#person-chase-grimm http://schema.org/birthDate 1996-05-15 https://chasemgrimm.com/#person-chase-grimm http://schema.org/birthPlace https://chasemgrimm.com/#person-chase-grimm-birth-place https://chasemgrimm.com/#person-chase-grimm http://schema.org/contactPoint https://chasemgrimm.com/#person-chase-grimm-contact-general https://chasemgrimm.com/#person-chase-grimm http://schema.org/description Chase Grimm is a systems engineer working across AI, text analytics, and algorithmic trading, applying rigorous systems thinking to solve complex problems across diverse domains. https://chasemgrimm.com/#person-chase-grimm http://schema.org/familyName Grimm https://chasemgrimm.com/#person-chase-grimm http://schema.org/gender Male https://chasemgrimm.com/#person-chase-grimm http://schema.org/givenName Chase https://chasemgrimm.com/#person-chase-grimm http://schema.org/hasCredential https://chasemgrimm.com/#credential-bachelor-of-science-in-industrial-engineering https://chasemgrimm.com/#person-chase-grimm http://schema.org/hasOccupation https://chasemgrimm.com/#occupation-alliant-engineer-role https://chasemgrimm.com/#person-chase-grimm http://schema.org/hasOccupation https://chasemgrimm.com/#occupation-big-house-enterprise-partner-role https://chasemgrimm.com/#person-chase-grimm http://schema.org/hasOccupation https://chasemgrimm.com/#occupation-consilience-ai-senior-engineer-role https://chasemgrimm.com/#person-chase-grimm http://schema.org/hasOccupation https://chasemgrimm.com/#occupation-iowa-state-university-tutor-role https://chasemgrimm.com/#person-chase-grimm http://schema.org/hasOccupation https://chasemgrimm.com/#occupation-iowa-state-university-undergraduate-research-assistant-role https://chasemgrimm.com/#person-chase-grimm http://schema.org/hasOccupation https://chasemgrimm.com/#occupation-optum-uxui-software-development-intern-role https://chasemgrimm.com/#person-chase-grimm http://schema.org/hasOccupation https://chasemgrimm.com/#occupation-principal-financial-group-data-operations-research-scientist-role https://chasemgrimm.com/#person-chase-grimm http://schema.org/hasOccupation https://chasemgrimm.com/#occupation-rockwell-collins-master-scheduling-data-consolidation-9771e8-role https://chasemgrimm.com/#person-chase-grimm http://schema.org/honorificSuffix CAP, PMP https://chasemgrimm.com/#person-chase-grimm http://schema.org/image https://chasemgrimm.com/#image-b63e13c2 https://chasemgrimm.com/#person-chase-grimm http://schema.org/jobTitle Senior Engineer https://chasemgrimm.com/#person-chase-grimm http://schema.org/knowsAbout https://chasemgrimm.com/#definedterm-algorithmic-trading https://chasemgrimm.com/#person-chase-grimm http://schema.org/knowsAbout https://chasemgrimm.com/#definedterm-human-factors-engineering https://chasemgrimm.com/#person-chase-grimm http://schema.org/knowsAbout https://chasemgrimm.com/#definedterm-machine-learning https://chasemgrimm.com/#person-chase-grimm http://schema.org/knowsAbout https://chasemgrimm.com/#definedterm-natural-language-processing https://chasemgrimm.com/#person-chase-grimm http://schema.org/knowsAbout https://chasemgrimm.com/#definedterm-operations-research https://chasemgrimm.com/#person-chase-grimm http://schema.org/knowsAbout https://chasemgrimm.com/#definedterm-systems-engineering https://chasemgrimm.com/#person-chase-grimm http://schema.org/knowsAbout https://chasemgrimm.com/#definedterm-text-analytics https://chasemgrimm.com/#person-chase-grimm http://schema.org/knowsAbout https://chasemgrimm.com/#definedterm-virtual-reality-simulation https://chasemgrimm.com/#person-chase-grimm http://schema.org/knowsLanguage Chinese https://chasemgrimm.com/#person-chase-grimm http://schema.org/knowsLanguage English https://chasemgrimm.com/#person-chase-grimm http://schema.org/name Chase Grimm https://chasemgrimm.com/#person-chase-grimm http://schema.org/nationality https://chasemgrimm.com/#country-united-states https://chasemgrimm.com/#person-chase-grimm http://schema.org/sameAs https://isni.org/isni/0000000530566213 https://chasemgrimm.com/#person-chase-grimm http://schema.org/sameAs https://muckrack.com/chasegrimm/bio https://chasemgrimm.com/#person-chase-grimm http://schema.org/sameAs https://orcid.org/0009-0001-7969-3190 https://chasemgrimm.com/#person-chase-grimm http://schema.org/sameAs https://scholar.google.com/citations?user=D_piH2sAAAAJ&hl=en https://chasemgrimm.com/#person-chase-grimm http://schema.org/sameAs https://www.linkedin.com/in/chasemgrimm/ https://chasemgrimm.com/#person-chase-grimm http://schema.org/sameAs https://x.com/chasemgrimm https://chasemgrimm.com/#person-chase-grimm http://schema.org/url https://chasemgrimm.com https://chasemgrimm.com/#person-chase-grimm http://schema.org/worksFor https://chasemgrimm.com/#org-consilience-ai https://chasemgrimm.com/#person-chase-grimm http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Person https://chasemgrimm.com/#scholarly-an-agricultural-harvest-knowledge-survey-to-distingui-56b11e http://schema.org/abstract Gaining insight into the unique characteristics of participants during user research is a valuable tool for both recruitment and understanding differences within the target population. This work describes an agricultural harvest knowledge survey that was created for user research studies that observed experienced combine operators driving a combine simulator in virtual crop fields. Two variations of the survey were designed, utilized, and evaluated in two separate studies. Both studies found a difference between low and high knowledge operators' performance on the knowledge survey in addition to performance differences. Based on the success of this survey as a population segmentation tool, the authors recommend three criteria for the design of future knowledge surveys in other domains: 1) use real world scenarios, 2) ensure question are neither too difficult nor too easy, and 3) ask the minimum number of questions to identify operator knowledge successfully. Future research aims to create a tool that can discern between system experts (with deep understanding of the system) and practice experts (who primarily have the wisdom of experience). https://chasemgrimm.com/#scholarly-an-agricultural-harvest-knowledge-survey-to-distingui-56b11e http://schema.org/author https://chasemgrimm.com/#person-chase-grimm https://chasemgrimm.com/#scholarly-an-agricultural-harvest-knowledge-survey-to-distingui-56b11e http://schema.org/datePublished 2016-09-08T00:00:00+00:00 https://chasemgrimm.com/#scholarly-an-agricultural-harvest-knowledge-survey-to-distingui-56b11e http://schema.org/description Gaining insight into the unique characteristics of participants during user research is a valuable tool for both recruitment and understanding differences within the target population. This work describes an agricultural harvest knowledge survey that was created for user research studies that observed experienced combine operators driving a combine simulator in virtual crop fields. Two variations of the survey were designed, utilized, and evaluated in two separate studies. Both studies found a difference between low and high knowledge operators' performance on the knowledge survey in addition to performance differences. Based on the success of this survey as a population segmentation tool, the authors recommend three criteria for the design of future knowledge surveys in other domains: 1) use real world scenarios, 2) ensure question are neither too difficult nor too easy, and 3) ask the minimum number of questions to identify operator knowledge successfully. Future research aims to create a tool that can discern between system experts (with deep understanding of the system) and practice experts (who primarily have the wisdom of experience). https://chasemgrimm.com/#scholarly-an-agricultural-harvest-knowledge-survey-to-distingui-56b11e http://schema.org/headline An Agricultural Harvest Knowledge Survey to Distinguish Types of Expertise https://chasemgrimm.com/#scholarly-an-agricultural-harvest-knowledge-survey-to-distingui-56b11e http://schema.org/isPartOf https://chasemgrimm.com/#periodical-proceedings-of-the-human-factors-and-ergonomics-socie-12c8a1 https://chasemgrimm.com/#scholarly-an-agricultural-harvest-knowledge-survey-to-distingui-56b11e http://schema.org/name An Agricultural Harvest Knowledge Survey to Distinguish Types of Expertise https://chasemgrimm.com/#scholarly-an-agricultural-harvest-knowledge-survey-to-distingui-56b11e http://schema.org/sameAs https://doi.org/10.1177/1541931213601465 https://chasemgrimm.com/#scholarly-an-agricultural-harvest-knowledge-survey-to-distingui-56b11e http://schema.org/url https://journals.sagepub.com/doi/10.1177/1541931213601465 https://chasemgrimm.com/#scholarly-an-agricultural-harvest-knowledge-survey-to-distingui-56b11e http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/ScholarlyArticle https://chasemgrimm.com/#scholarly-investigating-the-relationship-between-traffic-incide-24797b http://schema.org/abstract Large social events can influence traffic conditions and possibly lead to jams and incidents. This study leverages crowdsourced data to analytically evaluate the relationship between social events and traffic incidents in the city of Chicago. In particular, we collected data on social events from scraping online webpages, as well as traffic data from a twitter account that posted irregular traffic incidents based on a crowdsourced navigation application (Waze). Using these two sources the relationship between social events and the occurrence of traffic incidents was investigated. The total number social events and their categories for each region and its neighboring regions were used to build models that predicted the chance of a traffic incident occurrence. Based on the analysis, we demonstrated the variables that indicated significant influence on the chance of a traffic incident occurrence in the same day, such as the number of festivals and fairs, total number of events in the (neighboring) region. We have also developed and tested several models to predict the traffic incidents. The results indicated that using solely online listed social events may not be sufficient for traffic prediction. Although the accuracies are not considerable for an independent model, it clearly indicates that the additional information provided by social events will be a valuable addition to the existing traffic prediction models. https://chasemgrimm.com/#scholarly-investigating-the-relationship-between-traffic-incide-24797b http://schema.org/author https://chasemgrimm.com/#person-chase-grimm https://chasemgrimm.com/#scholarly-investigating-the-relationship-between-traffic-incide-24797b http://schema.org/datePublished 2017-04-01T00:00:00+00:00 https://chasemgrimm.com/#scholarly-investigating-the-relationship-between-traffic-incide-24797b http://schema.org/description Large social events can influence traffic conditions and possibly lead to jams and incidents. This study leverages crowdsourced data to analytically evaluate the relationship between social events and traffic incidents in the city of Chicago. In particular, we collected data on social events from scraping online webpages, as well as traffic data from a twitter account that posted irregular traffic incidents based on a crowdsourced navigation application (Waze). Using these two sources the relationship between social events and the occurrence of traffic incidents was investigated. The total number social events and their categories for each region and its neighboring regions were used to build models that predicted the chance of a traffic incident occurrence. Based on the analysis, we demonstrated the variables that indicated significant influence on the chance of a traffic incident occurrence in the same day, such as the number of festivals and fairs, total number of events in the (neighboring) region. We have also developed and tested several models to predict the traffic incidents. The results indicated that using solely online listed social events may not be sufficient for traffic prediction. Although the accuracies are not considerable for an independent model, it clearly indicates that the additional information provided by social events will be a valuable addition to the existing traffic prediction models. https://chasemgrimm.com/#scholarly-investigating-the-relationship-between-traffic-incide-24797b http://schema.org/headline Investigating the relationship between traffic incidents and public events: A case study https://chasemgrimm.com/#scholarly-investigating-the-relationship-between-traffic-incide-24797b http://schema.org/isPartOf https://chasemgrimm.com/#periodical-2017-systems-and-information-engineering-design-sympo-2bacdd https://chasemgrimm.com/#scholarly-investigating-the-relationship-between-traffic-incide-24797b http://schema.org/name Investigating the relationship between traffic incidents and public events: A case study https://chasemgrimm.com/#scholarly-investigating-the-relationship-between-traffic-incide-24797b http://schema.org/sameAs https://doi.org/10.1109/sieds.2017.7937715 https://chasemgrimm.com/#scholarly-investigating-the-relationship-between-traffic-incide-24797b http://schema.org/url https://ieeexplore.ieee.org/document/7937715 https://chasemgrimm.com/#scholarly-investigating-the-relationship-between-traffic-incide-24797b http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/ScholarlyArticle https://chasemgrimm.com/#scholarly-parsing-20-years-of-public-data-by-ai-maps-trends-in-6d5020 http://schema.org/abstract The trends of the last 20 years in biotechnology were revealed using artificial intelligence and natural language processing (NLP) of publicly available data. Implementing this 'science-of-science' approach, we capture convergent trends in the field of proteomics in both technology development and application across the phylogenetic tree of life. With major gaps in our knowledge about protein composition, structure, and location over time, we report trends in persistent, popular approaches and emerging technologies across 94 ideas from a corpus of 29 journals in PubMed over two decades. New metrics for clusters of these ideas reveal the progression and popularity of emerging approaches like single-cell, spatial, compositional, and chemical proteomics designed to better capture protein-level chemistry and biology. This analysis of the proteomics literature with advanced analytic tools quantifies the Rate of Rise for a next generation of technologies to better define, quantify, and visualize the multiple dimensions of the proteome that will transform our ability to measure and understand proteins in the coming decade. https://chasemgrimm.com/#scholarly-parsing-20-years-of-public-data-by-ai-maps-trends-in-6d5020 http://schema.org/author https://chasemgrimm.com/#person-chase-grimm https://chasemgrimm.com/#scholarly-parsing-20-years-of-public-data-by-ai-maps-trends-in-6d5020 http://schema.org/datePublished 2024-02-02T00:00:00+00:00 https://chasemgrimm.com/#scholarly-parsing-20-years-of-public-data-by-ai-maps-trends-in-6d5020 http://schema.org/description The trends of the last 20 years in biotechnology were revealed using artificial intelligence and natural language processing (NLP) of publicly available data. Implementing this 'science-of-science' approach, we capture convergent trends in the field of proteomics in both technology development and application across the phylogenetic tree of life. With major gaps in our knowledge about protein composition, structure, and location over time, we report trends in persistent, popular approaches and emerging technologies across 94 ideas from a corpus of 29 journals in PubMed over two decades. New metrics for clusters of these ideas reveal the progression and popularity of emerging approaches like single-cell, spatial, compositional, and chemical proteomics designed to better capture protein-level chemistry and biology. This analysis of the proteomics literature with advanced analytic tools quantifies the Rate of Rise for a next generation of technologies to better define, quantify, and visualize the multiple dimensions of the proteome that will transform our ability to measure and understand proteins in the coming decade. https://chasemgrimm.com/#scholarly-parsing-20-years-of-public-data-by-ai-maps-trends-in-6d5020 http://schema.org/headline Parsing 20 Years of Public Data by AI Maps Trends in Proteomics and Forecasts Technology https://chasemgrimm.com/#scholarly-parsing-20-years-of-public-data-by-ai-maps-trends-in-6d5020 http://schema.org/isPartOf https://chasemgrimm.com/#periodical-journal-of-proteome-research https://chasemgrimm.com/#scholarly-parsing-20-years-of-public-data-by-ai-maps-trends-in-6d5020 http://schema.org/name Parsing 20 Years of Public Data by AI Maps Trends in Proteomics and Forecasts Technology https://chasemgrimm.com/#scholarly-parsing-20-years-of-public-data-by-ai-maps-trends-in-6d5020 http://schema.org/sameAs https://doi.org/10.1021/acs.jproteome.3c00430 https://chasemgrimm.com/#scholarly-parsing-20-years-of-public-data-by-ai-maps-trends-in-6d5020 http://schema.org/url https://pubs.acs.org/doi/10.1021/acs.jproteome.3c00430 https://chasemgrimm.com/#scholarly-parsing-20-years-of-public-data-by-ai-maps-trends-in-6d5020 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/ScholarlyArticle https://chasemgrimm.com/#scholarly-the-importance-of-operator-knowledge-in-evaluating-vi-5a28c0 http://schema.org/abstract Research, development, testing, and operator training of large agricultural harvesting equipment has become increasingly expensive and complex. Operational simulators can offset these costs, but it is critical to evaluate the fidelity of the simulator experience to ensure that it will lead to operator behaviors that match those in the real world. This research describes a validation process for new visual cues within simulators and focuses on the presentation and fidelity of cues in a combine harvest simulator. The fully functional immersive combine simulator in this work provides a mixed-reality interface that combines a physically accurate operator interface with displays of virtual reality (VR) combine header and grain. Grain combine operators participated to assess how well they perceived the VR cues as representing actual field and crop activity. Results showed that operators successfully identified 85% of the visual cues in the combine simulator and recognized when these cues indicated machine settings adjustment needs but that operators' ability to choose the correct action to take correlated with their knowledge of the combine. Results also showed wide variation in the number of the grain combine's head reel adjustments made by operators, likely reflecting strong individual preferences or habits around reel adjustment. Operators' number of adjustment interactions with the reel was also significantly correlated with the number of correct actions chosen, suggesting that careful attention to the reel is related to good farming performance. This research demonstrates the importance of taking operator knowledge and preferences into account when designing new agricultural products and offers a systematic method of validating cues within an agricultural simulator. https://chasemgrimm.com/#scholarly-the-importance-of-operator-knowledge-in-evaluating-vi-5a28c0 http://schema.org/author https://chasemgrimm.com/#person-chase-grimm https://chasemgrimm.com/#scholarly-the-importance-of-operator-knowledge-in-evaluating-vi-5a28c0 http://schema.org/datePublished 2019-05-01T00:00:00+00:00 https://chasemgrimm.com/#scholarly-the-importance-of-operator-knowledge-in-evaluating-vi-5a28c0 http://schema.org/description Research, development, testing, and operator training of large agricultural harvesting equipment has become increasingly expensive and complex. Operational simulators can offset these costs, but it is critical to evaluate the fidelity of the simulator experience to ensure that it will lead to operator behaviors that match those in the real world. This research describes a validation process for new visual cues within simulators and focuses on the presentation and fidelity of cues in a combine harvest simulator. The fully functional immersive combine simulator in this work provides a mixed-reality interface that combines a physically accurate operator interface with displays of virtual reality (VR) combine header and grain. Grain combine operators participated to assess how well they perceived the VR cues as representing actual field and crop activity. Results showed that operators successfully identified 85% of the visual cues in the combine simulator and recognized when these cues indicated machine settings adjustment needs but that operators' ability to choose the correct action to take correlated with their knowledge of the combine. Results also showed wide variation in the number of the grain combine's head reel adjustments made by operators, likely reflecting strong individual preferences or habits around reel adjustment. Operators' number of adjustment interactions with the reel was also significantly correlated with the number of correct actions chosen, suggesting that careful attention to the reel is related to good farming performance. This research demonstrates the importance of taking operator knowledge and preferences into account when designing new agricultural products and offers a systematic method of validating cues within an agricultural simulator. https://chasemgrimm.com/#scholarly-the-importance-of-operator-knowledge-in-evaluating-vi-5a28c0 http://schema.org/headline The importance of operator knowledge in evaluating virtual reality cue fidelity https://chasemgrimm.com/#scholarly-the-importance-of-operator-knowledge-in-evaluating-vi-5a28c0 http://schema.org/isPartOf https://chasemgrimm.com/#periodical-computers-and-electronics-in-agriculture https://chasemgrimm.com/#scholarly-the-importance-of-operator-knowledge-in-evaluating-vi-5a28c0 http://schema.org/name The importance of operator knowledge in evaluating virtual reality cue fidelity https://chasemgrimm.com/#scholarly-the-importance-of-operator-knowledge-in-evaluating-vi-5a28c0 http://schema.org/sameAs https://doi.org/10.1016/j.compag.2019.03.026 https://chasemgrimm.com/#scholarly-the-importance-of-operator-knowledge-in-evaluating-vi-5a28c0 http://schema.org/url https://www.sciencedirect.com/science/article/abs/pii/S0168169918309657?via%3Dihub https://chasemgrimm.com/#scholarly-the-importance-of-operator-knowledge-in-evaluating-vi-5a28c0 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/ScholarlyArticle https://chasemgrimm.com/#website http://schema.org/description Chase Grimm is an AI systems engineer transforming complex challenges into robust AI systems through rigorous engineering and pragmatic design. https://chasemgrimm.com/#website http://schema.org/inLanguage en https://chasemgrimm.com/#website http://schema.org/name Chase Grimm's Personal Website https://chasemgrimm.com/#website http://schema.org/publisher https://chasemgrimm.com/#person-chase-grimm https://chasemgrimm.com/#website http://schema.org/url https://chasemgrimm.com https://chasemgrimm.com/#website http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/WebSite https://chasemgrimm.com/publications/research#breadcrumb-item-1 http://schema.org/item https://chasemgrimm.com https://chasemgrimm.com/publications/research#breadcrumb-item-1 http://schema.org/name Home https://chasemgrimm.com/publications/research#breadcrumb-item-1 http://schema.org/position 1 https://chasemgrimm.com/publications/research#breadcrumb-item-1 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/ListItem https://chasemgrimm.com/publications/research#breadcrumb-item-2 http://schema.org/item https://chasemgrimm.com/publications https://chasemgrimm.com/publications/research#breadcrumb-item-2 http://schema.org/name Publications https://chasemgrimm.com/publications/research#breadcrumb-item-2 http://schema.org/position 2 https://chasemgrimm.com/publications/research#breadcrumb-item-2 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/ListItem https://chasemgrimm.com/publications/research#breadcrumb-item-3 http://schema.org/item https://chasemgrimm.com/publications/research https://chasemgrimm.com/publications/research#breadcrumb-item-3 http://schema.org/name Research https://chasemgrimm.com/publications/research#breadcrumb-item-3 http://schema.org/position 3 https://chasemgrimm.com/publications/research#breadcrumb-item-3 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/ListItem https://chasemgrimm.com/publications/research#breadcrumb http://schema.org/itemListElement https://chasemgrimm.com/publications/research#breadcrumb-item-1 https://chasemgrimm.com/publications/research#breadcrumb http://schema.org/itemListElement https://chasemgrimm.com/publications/research#breadcrumb-item-2 https://chasemgrimm.com/publications/research#breadcrumb http://schema.org/itemListElement https://chasemgrimm.com/publications/research#breadcrumb-item-3 https://chasemgrimm.com/publications/research#breadcrumb http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/BreadcrumbList https://chasemgrimm.com/publications/research#collection-list-item-1 http://schema.org/item https://chasemgrimm.com/#scholarly-parsing-20-years-of-public-data-by-ai-maps-trends-in-6d5020 https://chasemgrimm.com/publications/research#collection-list-item-1 http://schema.org/position 1 https://chasemgrimm.com/publications/research#collection-list-item-1 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/ListItem https://chasemgrimm.com/publications/research#collection-list-item-2 http://schema.org/item https://chasemgrimm.com/#scholarly-the-importance-of-operator-knowledge-in-evaluating-vi-5a28c0 https://chasemgrimm.com/publications/research#collection-list-item-2 http://schema.org/position 2 https://chasemgrimm.com/publications/research#collection-list-item-2 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/ListItem https://chasemgrimm.com/publications/research#collection-list-item-3 http://schema.org/item https://chasemgrimm.com/#scholarly-investigating-the-relationship-between-traffic-incide-a119f0 https://chasemgrimm.com/publications/research#collection-list-item-3 http://schema.org/position 3 https://chasemgrimm.com/publications/research#collection-list-item-3 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/ListItem https://chasemgrimm.com/publications/research#collection-list-item-4 http://schema.org/item https://chasemgrimm.com/#scholarly-an-agricultural-harvest-knowledge-survey-to-distingui-56b11e https://chasemgrimm.com/publications/research#collection-list-item-4 http://schema.org/position 4 https://chasemgrimm.com/publications/research#collection-list-item-4 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/ListItem https://chasemgrimm.com/publications/research#collection-list http://schema.org/itemListElement https://chasemgrimm.com/publications/research#collection-list-item-1 https://chasemgrimm.com/publications/research#collection-list http://schema.org/itemListElement https://chasemgrimm.com/publications/research#collection-list-item-2 https://chasemgrimm.com/publications/research#collection-list http://schema.org/itemListElement https://chasemgrimm.com/publications/research#collection-list-item-3 https://chasemgrimm.com/publications/research#collection-list http://schema.org/itemListElement https://chasemgrimm.com/publications/research#collection-list-item-4 https://chasemgrimm.com/publications/research#collection-list http://schema.org/name Research https://chasemgrimm.com/publications/research#collection-list http://schema.org/numberOfItems 4 https://chasemgrimm.com/publications/research#collection-list http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/ItemList https://chasemgrimm.com/publications/research#webpage-encoding-jsonld http://schema.org/contentUrl https://chasemgrimm.com/publications/research.jsonld https://chasemgrimm.com/publications/research#webpage-encoding-jsonld http://schema.org/encodingFormat application/ld+json https://chasemgrimm.com/publications/research#webpage-encoding-jsonld http://schema.org/provider https://bighouseenterprise.com/#organization-big-house-enterprise https://chasemgrimm.com/publications/research#webpage-encoding-jsonld http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://chasemgrimm.com/publications/research#webpage-encoding-n3 http://schema.org/contentUrl https://chasemgrimm.com/publications/research.n3 https://chasemgrimm.com/publications/research#webpage-encoding-n3 http://schema.org/encodingFormat text/n3 https://chasemgrimm.com/publications/research#webpage-encoding-n3 http://schema.org/provider https://bighouseenterprise.com/#organization-big-house-enterprise https://chasemgrimm.com/publications/research#webpage-encoding-n3 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://chasemgrimm.com/publications/research#webpage-encoding-nq http://schema.org/contentUrl https://chasemgrimm.com/publications/research.nq https://chasemgrimm.com/publications/research#webpage-encoding-nq http://schema.org/encodingFormat application/n-quads https://chasemgrimm.com/publications/research#webpage-encoding-nq http://schema.org/provider https://bighouseenterprise.com/#organization-big-house-enterprise https://chasemgrimm.com/publications/research#webpage-encoding-nq http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://chasemgrimm.com/publications/research#webpage-encoding-nt http://schema.org/contentUrl https://chasemgrimm.com/publications/research.nt https://chasemgrimm.com/publications/research#webpage-encoding-nt http://schema.org/encodingFormat application/n-triples https://chasemgrimm.com/publications/research#webpage-encoding-nt http://schema.org/provider https://bighouseenterprise.com/#organization-big-house-enterprise https://chasemgrimm.com/publications/research#webpage-encoding-nt http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://chasemgrimm.com/publications/research#webpage-encoding-rdf http://schema.org/contentUrl https://chasemgrimm.com/publications/research.rdf https://chasemgrimm.com/publications/research#webpage-encoding-rdf http://schema.org/encodingFormat application/rdf+xml https://chasemgrimm.com/publications/research#webpage-encoding-rdf http://schema.org/provider https://bighouseenterprise.com/#organization-big-house-enterprise https://chasemgrimm.com/publications/research#webpage-encoding-rdf http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://chasemgrimm.com/publications/research#webpage-encoding-rj http://schema.org/contentUrl https://chasemgrimm.com/publications/research.rj https://chasemgrimm.com/publications/research#webpage-encoding-rj http://schema.org/encodingFormat application/rdf+json https://chasemgrimm.com/publications/research#webpage-encoding-rj http://schema.org/provider https://bighouseenterprise.com/#organization-big-house-enterprise https://chasemgrimm.com/publications/research#webpage-encoding-rj http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://chasemgrimm.com/publications/research#webpage-encoding-trig http://schema.org/contentUrl https://chasemgrimm.com/publications/research.trig https://chasemgrimm.com/publications/research#webpage-encoding-trig http://schema.org/encodingFormat application/trig https://chasemgrimm.com/publications/research#webpage-encoding-trig http://schema.org/provider https://bighouseenterprise.com/#organization-big-house-enterprise https://chasemgrimm.com/publications/research#webpage-encoding-trig http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://chasemgrimm.com/publications/research#webpage-encoding-trix http://schema.org/contentUrl https://chasemgrimm.com/publications/research.trix https://chasemgrimm.com/publications/research#webpage-encoding-trix http://schema.org/encodingFormat application/xml https://chasemgrimm.com/publications/research#webpage-encoding-trix http://schema.org/provider https://bighouseenterprise.com/#organization-big-house-enterprise https://chasemgrimm.com/publications/research#webpage-encoding-trix http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://chasemgrimm.com/publications/research#webpage-encoding-ttl http://schema.org/contentUrl https://chasemgrimm.com/publications/research.ttl https://chasemgrimm.com/publications/research#webpage-encoding-ttl http://schema.org/encodingFormat text/turtle https://chasemgrimm.com/publications/research#webpage-encoding-ttl http://schema.org/provider https://bighouseenterprise.com/#organization-big-house-enterprise https://chasemgrimm.com/publications/research#webpage-encoding-ttl http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://chasemgrimm.com/publications/research#webpage http://schema.org/about https://chasemgrimm.com/#person-chase-grimm https://chasemgrimm.com/publications/research#webpage http://schema.org/breadcrumb https://chasemgrimm.com/publications/research#breadcrumb https://chasemgrimm.com/publications/research#webpage http://schema.org/dateModified 2026-09-05T00:00:00+00:00 https://chasemgrimm.com/publications/research#webpage http://schema.org/datePublished 2025-12-23T00:00:00+00:00 https://chasemgrimm.com/publications/research#webpage http://schema.org/encoding https://chasemgrimm.com/publications/research#webpage-encoding-jsonld https://chasemgrimm.com/publications/research#webpage http://schema.org/encoding https://chasemgrimm.com/publications/research#webpage-encoding-n3 https://chasemgrimm.com/publications/research#webpage http://schema.org/encoding https://chasemgrimm.com/publications/research#webpage-encoding-nq https://chasemgrimm.com/publications/research#webpage http://schema.org/encoding https://chasemgrimm.com/publications/research#webpage-encoding-nt https://chasemgrimm.com/publications/research#webpage http://schema.org/encoding https://chasemgrimm.com/publications/research#webpage-encoding-rdf https://chasemgrimm.com/publications/research#webpage http://schema.org/encoding https://chasemgrimm.com/publications/research#webpage-encoding-rj https://chasemgrimm.com/publications/research#webpage http://schema.org/encoding https://chasemgrimm.com/publications/research#webpage-encoding-trig https://chasemgrimm.com/publications/research#webpage http://schema.org/encoding https://chasemgrimm.com/publications/research#webpage-encoding-trix https://chasemgrimm.com/publications/research#webpage http://schema.org/encoding https://chasemgrimm.com/publications/research#webpage-encoding-ttl https://chasemgrimm.com/publications/research#webpage http://schema.org/image https://images.bighouseenterprise.com/chase-grimm/chase-grimm/primary/chase-pfp-d045a2.webp https://chasemgrimm.com/publications/research#webpage http://schema.org/inLanguage en https://chasemgrimm.com/publications/research#webpage http://schema.org/isPartOf https://chasemgrimm.com/#website https://chasemgrimm.com/publications/research#webpage http://schema.org/mainEntity https://chasemgrimm.com/publications/research#collection-list https://chasemgrimm.com/publications/research#webpage http://schema.org/name Research https://chasemgrimm.com/publications/research#webpage http://schema.org/url https://chasemgrimm.com/publications/research https://chasemgrimm.com/publications/research#webpage http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/CollectionPage urn:x-rdflib:default