diff --git a/web/gui-v2/src/components/DetailViewMoreMetadataDialog.jsx b/web/gui-v2/src/components/DetailViewMoreMetadataDialog.jsx index 631b1c00..7ec91315 100644 --- a/web/gui-v2/src/components/DetailViewMoreMetadataDialog.jsx +++ b/web/gui-v2/src/components/DetailViewMoreMetadataDialog.jsx @@ -117,7 +117,7 @@ const MoreMetadataDialog = ({ />

Additional metadata about this company, including aliases, parent-subsidiary relations, and unique - identifiers in PARAT's data sources, are available in the Private-Sector AI Indicators dataset. + identifiers in PARAT's data sources, are available in the Private-Sector AI Indicators dataset.

diff --git a/web/gui-v2/src/components/DetailViewWorkforce.jsx b/web/gui-v2/src/components/DetailViewWorkforce.jsx index e1f65952..1a3679ee 100644 --- a/web/gui-v2/src/components/DetailViewWorkforce.jsx +++ b/web/gui-v2/src/components/DetailViewWorkforce.jsx @@ -1,7 +1,7 @@ import React from 'react'; import { css } from '@emotion/react'; -import { Alert, HelpTooltip } from '@eto/eto-ui-components'; +import { Alert, HelpTooltip, ExternalLink } from '@eto/eto-ui-components'; import HeaderWithLink from './HeaderWithLink'; import StatBox from './StatBox'; @@ -27,10 +27,10 @@ const DetailViewWorkforce = ({ key: 'ai_jobs', description: ( - From {yearSpanText}, {data.name} employed about NUMBER individuals with jobs of this type + From {yearSpanText}, {data.name} employed about NUMBER AI workers (#{data.other_metrics.ai_jobs.rank} rank in PARAT {data.groups.sp500 && <>, #{data.other_metrics.ai_jobs.sp500_rank} in the S&P500}). - [Revisions tktk - ai_jobs] + AI workers in PARAT include anyone a high probability of working with AI. Read more >> ), }, @@ -38,10 +38,10 @@ const DetailViewWorkforce = ({ key: 'tt1_jobs', description: ( - From {yearSpanText}, {data.name} employed about NUMBER individuals with jobs of this type + From {yearSpanText}, {data.name} employed about NUMBER Tech Tier 1 workers (#{data.other_metrics.tt1_jobs.rank} rank in PARAT {data.groups.sp500 && <>, #{data.other_metrics.tt1_jobs.sp500_rank} in the S&P500}). - [Revisions tktk - tt1_jobs] + Tech Tier 1 workers include anyone with technical skills and a reasonable probability of working with AI.Read more >> ), }, @@ -54,9 +54,9 @@ const DetailViewWorkforce = ({ {data.country !== "United States" && {data.country === "China" ? ( - <>PARAT workforce data for this Chinese company are unreliable. Use with extreme caution. Read more >> + <>PARAT workforce data for this Chinese company are unreliable. Use with extreme caution. Read more >> ) : ( - <>PARAT workforce data for this non-U.S. company may be unreliable. Use with caution. Read more >> + <>PARAT workforce data for this non-U.S. company may be unreliable. Use with caution. Read more >> )} } diff --git a/web/gui-v2/src/pages/index.js b/web/gui-v2/src/pages/index.js index d3a8a556..b00a8b3f 100644 --- a/web/gui-v2/src/pages/index.js +++ b/web/gui-v2/src/pages/index.js @@ -52,7 +52,7 @@ const IndexPage = () => { } documentationLink="https://eto.tech/tool-docs/parat/" headingComponent="h1" - title="ETO Private-sector AI-Related Activity Tracker" + title="🦜 Private-sector AI-Related Activity Tracker" >
Site last updated {data.site.buildTime} diff --git a/web/gui-v2/src/static_data/table_columns.js b/web/gui-v2/src/static_data/table_columns.js index e9c7b32b..591e1862 100644 --- a/web/gui-v2/src/static_data/table_columns.js +++ b/web/gui-v2/src/static_data/table_columns.js @@ -282,7 +282,7 @@ const columnDefinitions = [ ), }, { - title: "Citation counts", + title: "Citations to AI pubs", key: "citations", aggregateType: "median", category: "publications", diff --git a/web/gui-v2/src/static_data/tooltips.js b/web/gui-v2/src/static_data/tooltips.js index 807cedbc..ff1c36de 100644 --- a/web/gui-v2/src/static_data/tooltips.js +++ b/web/gui-v2/src/static_data/tooltips.js @@ -7,58 +7,58 @@ const tooltips = { name: "", country: "The country where the company's headquarters is located.", continent: "", - stage: <>The company's stage of development. Read more >>, - sector: <>The company's "Primary Business Sector" (corresponding to "Business Sector" in the Thomson Reuters Business Classification) according to permid.org., + stage: <>The company's stage of development. Read more >>, + sector: <>The company's "Primary Business Sector" (corresponding to "Business Sector" in the Thomson Reuters Business Classification) according to permid.org., - all_pubs: <>The total number of research publications (on any subject) the company released publicly over the prior 10 years. Read more >>, - all_pubs_5yr: <>The total number of research publications (on any subject) the company released publicly over the prior 5 years. Read more >>, - ai_pubs: <>The total number of AI research publications that the company released publicly over the prior 10 years. Read more >>, - ai_pubs_growth: <>Recent growth in the company's AI research publications, defined as the average percentage increase per year over the past three years of complete data. Read more >>, - ai_pubs_percent: <>The percentage of the company's total research publications over the past ten years that were AI publications. Read more >>, - ai_pubs_top_conf: <>The number of research publications by authors from the company that were accepted to top AI conferences over the past ten years. Read more >>, - ai_pubs_last_full_year: <>The total number of AI research publications that the company released in the last year for which complete data is available (currently 2022). Read more >>, - citations: <>The number of citations to AI research publications released by the company over the prior 10 years. Read more >>, - cv_pubs: <>The total number of computer vision research publications that the company released publicly over the prior 10 years. Read more >>, - nlp_pubs: <>The total number of natural language processing research publications that the company released publicly over the prior 10 years. Read more >>, - ro_pubs: <>The total number of robotics research publications that the company released publicly over the prior 10 years. Read more >>, + all_pubs: <>The total number of research publications (on any subject) the company released publicly over the prior 10 years. Read more >> Some recent publications may be omitted., + all_pubs_5yr: <>The total number of research publications (on any subject) the company released publicly over the prior 5 years. Read more >> Some recent publications may be omitted., + ai_pubs: <>The total number of AI research publications that the company released publicly over the prior 10 years. Read more >> Some recent publications may be omitted., + ai_pubs_growth: <>Recent growth in the company's AI research publications, defined as the average percentage increase per year over the past three years of complete data. Read more >>, + ai_pubs_percent: <>The percentage of the company's total research publications over the past ten years that were AI publications. Read more >>, + ai_pubs_top_conf: <>The number of research publications by authors from the company that were accepted to top AI conferences over the past ten years. Read more >> Some recent publications may be omitted., + ai_pubs_last_full_year: <>The total number of AI research publications that the company released in the last year for which complete data is available (currently 2022). Read more >>, + citations: <>The number of citations to AI research publications released by the company over the prior 10 years. Read more >>, + cv_pubs: <>The total number of computer vision research publications that the company released publicly over the prior 10 years. Read more >> Some recent publications may be omitted., + nlp_pubs: <>The total number of natural language processing research publications that the company released publicly over the prior 10 years. Read more >> Some recent publications may be omitted., + ro_pubs: <>The total number of robotics research publications that the company released publicly over the prior 10 years. Read more >> Some recent publications may be omitted., - all_patents: <>The number of patents (on any topic) the company filed over the past 10 years. Read more >>, - all_patents_5yr: <>The number of patents (on any topic) the company filed over the past 5 years. Read more >>, - ai_patents: <>The number of AI-related patents the company filed over the past 10 years. Read more >>, - ai_patents_growth: <>Recent growth in the company's AI patent filings, defined as the average percentage increase per year over the past three years of complete data. (Patent data has a significant lag; the past three years of complete patent data typically equates to between three and six years behind the present.) Read more >>, - ai_patents_percent: <>The percentage of the company's total filed patents over the past ten years that were AI-related. Read more >>, - ai_patents_grants: <>The number of AI-related patents granted to the company over the past 10 years. Read more >>, - agri_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >>, - algorithms: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed application. Read more >>, - finance_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >>, - business_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >>, - comp_vision: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed application. Read more >>, - comp_in_gov_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >>, - control: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed application. Read more >>, - distributed_ai: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed application. Read more >>, - doc_mgt_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >>, - edu_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed application. Read more >>, - entertain_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >>, - industry_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >>, - knowledge_rep: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed application. Read more >>, - lang_process: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed application. Read more >>, - life_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >>, - measure_test: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed application. Read more >>, - mil_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >>, - nano_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >>, - network_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >>, - personal_comp_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >>, - phys_sci_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >>, - plan_sched: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed application. Read more >>, - robotics: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed application. Read more >>, - security_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >>, - semiconductor_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >>, - speech: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >>, - telecom_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >>, - transport_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >>, + all_patents: <>The number of patents (on any topic) the company filed over the past 10 years. Read more >> Some recent patents may be omitted., + all_patents_5yr: <>The number of patents (on any topic) the company filed over the past 5 years. Read more >> Some recent patents may be omitted., + ai_patents: <>The number of AI-related patents the company filed over the past 10 years. Read more >> Some recent patents may be omitted., + ai_patents_growth: <>Recent growth in the company's AI patent filings, defined as the average percentage increase per year over the past three years of complete data. (Patent data has a significant lag; the past three years of complete patent data typically equates to between three and six years behind the present.) Read more >>, + ai_patents_percent: <>The percentage of the company's total filed patents over the past ten years that were AI-related. Read more >>, + ai_patents_grants: <>The number of AI-related patents granted to the company over the past 10 years. Read more >>, + agri_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >> Some recent patents may be omitted., + algorithms: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed application. Read more >> Some recent patents may be omitted., + finance_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >> Some recent patents may be omitted., + business_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >> Some recent patents may be omitted., + comp_vision: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed application. Read more >> Some recent patents may be omitted., + comp_in_gov_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >> Some recent patents may be omitted., + control: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed application. Read more >> Some recent patents may be omitted., + distributed_ai: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed application. Read more >> Some recent patents may be omitted., + doc_mgt_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >> Some recent patents may be omitted., + edu_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed application. Read more >> Some recent patents may be omitted., + entertain_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >> Some recent patents may be omitted., + industry_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >> Some recent patents may be omitted., + knowledge_rep: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed application. Read more >> Some recent patents may be omitted., + lang_process: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed application. Read more >> Some recent patents may be omitted., + life_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >> Some recent patents may be omitted., + measure_test: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed application. Read more >> Some recent patents may be omitted., + mil_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >> Some recent patents may be omitted., + nano_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >> Some recent patents may be omitted., + network_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >> Some recent patents may be omitted., + personal_comp_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >> Some recent patents may be omitted., + phys_sci_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >> Some recent patents may be omitted., + plan_sched: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed application. Read more >> Some recent patents may be omitted., + robotics: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed application. Read more >> Some recent patents may be omitted., + security_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >> Some recent patents may be omitted., + semiconductor_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >> Some recent patents may be omitted., + speech: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >> Some recent patents may be omitted., + telecom_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >> Some recent patents may be omitted., + transport_patents: <>The number of AI-related patents the company filed over the past 10 years that were relevant to the listed use case. Read more >> Some recent patents may be omitted. , - ai_jobs: <>The number of known AI workers employed by the company as of the most recent data update. Read more >>, - tt1_jobs: <>The number of known Tech Tier 1 workers employed by the company as of the most recent data update. Read more >>, + ai_jobs: <>The number of AI workers employed by the company as of the most recent data update. AI workers in PARAT include anyone a high probability of working with AI. Read more >>, + tt1_jobs: <>The number of known Tech Tier 1 workers employed by the company as of the most recent data update. Tech Tier 1 workers include anyone with technical skills and a reasonable probability of working with AI. Read more >>, }, groupExplanations: { sp500: ( @@ -83,22 +83,22 @@ const tooltips = { ), }, jobsExplanations: { - chinaJobs: <>PARAT workforce data for this Chinese company are unreliable. Use with extreme caution. Read more >>, - otherJobs: <>PARAT workforce data for this non-U.S. company may be unreliable. Use with extreme caution. Read more >>, - noData: "This company is not included in PARAT's workforce data sources.", + chinaJobs: <>PARAT workforce data for this Chinese company are unreliable. Use with extreme caution. Read more >>, + otherJobs: <>PARAT workforce data for this non-U.S. company may be unreliable. Use with extreme caution. Read more >>, + noData: "This field could not be calculated due to lack of data.", }, detailView: { publications: { - aiResearchArticles: <>For details on how we identify and count AI research articles, read the PARAT documentation, + aiResearchArticles: <>For details on how we identify and count AI research articles, read the dataset documentation. Articles from the past several months may be omitted., highlyCitedArticles: <>Highly cited articles are defined as the 10% of articles in each publication year with the most citations., - topResearchTopicsTable: <>Articles are assigned to AI subtopics using ETO classifiers. Read more >>, - topConferencePubsChart: <>Includes publications accepted at selected prominent AI research conferences around the world. Read more >>, + topResearchTopicsTable: <>Articles are assigned to AI subtopics using ETO classifiers. Read more >> Articles from the past several months may be omitted., + topConferencePubsChart: <>Includes publications accepted at selected prominent AI research conferences around the world. Read more >> Articles from the past several months may be omitted., }, patents: { - aiRelatedPatents: <>For details on how we identify and count AI patent filings, read the PARAT documentation, - topApplicationAreasTable: <>For details on how we identify application areas in AI patents, read the PARAT documentation, - topIndustryAreasTable: <>For details on how we identify use cases in AI patents, read the PARAT documentation, - growthColumnExplanation: "Average year-to-year percentage change for years with non-zero starting values over this interval.", + aiRelatedPatents: <>For details on how we identify and count AI patent filings, read the dataset documentation. Some recent patents may be omitted., + topApplicationAreasTable: <>For details on how we identify application areas in AI patents, read the dataset documentation. Some recent patents may be omitted., + topIndustryAreasTable: <>For details on how we identify use cases in AI patents, read the dataset documentation. Some recent patents may be omitted., + growthColumnExplanation: "Average year-to-year percentage change for years with non-zero starting values over this interval." }, }, };