29:null 2a:["$","title",null,{"children":"timeline | Ivan Labra | Observable"}] 2f:Te90,text = "Education March 2010 – March 2010 Pluralistic Networks program Working Effectively in Small Teams August 2009 – August 2009 Harvard University workshop Statistical Social Networking Analysis Using R and statnet. May 2001 – May 2001 American Management Institute program Business Metrics. March 2001 – March 2001 CONSTRUX program Software Engineering Methodology CMMI, PMI, rapid application development. September 1990 – May 1994 Pomona College B. A. Art history, philosophy specialisation History of symbolic systems and systems of reasoning. Experience September 2016 – present labra.studio - consultancy cybernetic strategy, technology evaluation and solution consultancy Datagraph GMBH - development of data architectures and governance strategy utilising symbolic AI/ML/digital twins for NXP, Nexperia, Tesla and support for projects such as MAS4AI . Reduct- development strategy for AI video data analytics and collaboration start-up. Merchant Adventure Investment Advisors - Technology investments analysis. December 2010 – July 2016 DRS Technologies - Program Manager, Strategy & Solutions International Division Lead strategist, chief technologist for the International Division of DRS Technologies. Corporate lead for data strategy/governance, Cyber, Cloud strategy. October 2008 – November 2010 Naval Postgraduate School - Cebrowski Institute For Information Superiority - Research Faculty Researched Generative Networks - computationally supported, data centric collaboratory structures. Prototype development using advanced data federation and integration architectures to support complex distributed operations. September 2006 – September 2008 SPAWAR Multinational Interoperability Group. Lead Architect Led an R&D team in the development of advanced distributed data centric C2 systems for complex decentralised operations. Consulted for ASD NII -office Integrated ICT Support on distributed C2, capability building, open source and data strategy/governance September 2003 – September 2006 SPAWAR - Software Services Group Manager Europe Functioned as CTO for division. March 2003 – September 2003 MC Dean -Learning Systems Architect Designed and deployed data centric SCORM Learning Management System as a cloud service (SaaS) for NATO/PfP. January 2000 – November 2001 Certive - Engineering Product Manager, Architecture Group Hire 14 worked with C level and team of 22 engineers to define products, architectures, and implementation plans for start-up providing cloud service (ASP/SaaS) for financial analytics. January 1999 – January 2000 Matson Navigation - Consultant - Software Operations Supported mission critical systems development including modernization and legacy systems efforts. August 1997 – January 1999 IBM - Technical Documentation Developed products for technical RFPs and RFIs, white papers, and other analytic products. April 1996 – August 1997 IBM - Emerging Market Software Development Team Project Coordinator Fourth member of the team responsible for the full life-cycle development of the San Francisco Java Beans project. Project Highlights IBM Part of the largest JAVA development team at IBM with ~300 devs . Matson Navigation Modernised legacy systems ( COBOL) to support Internet/Web architectures. Certive Led team to deliver multiple successful product releases for start-up that received $42m in mezzanine funding. SPAWAR Advanced technology development examples include SSO, OpenID, OAuth, containerization, cloud centric DevOps, REST, Linked Data, Semantics Web, and Service Oriented Architectures. Additional Languages English, Spanish - native fluency German - good Interests BJJ, Squash, Fermentation, Complexity, Economic Sociology "30:T4db,timeLine = { var doc = nlp.readDoc(text || ""); var timeline = []; doc .entities() .filter((e) => { var shapes = e.tokens().out(its.shape); // We only want dates that can be converted to an actual // time using new Date() return ( e.out(its.type) === "DATE" && (shapes[0] === "dddd" || (shapes[0] === "Xxxxx" && shapes[1] === "dddd") || (shapes[0] === "Xxxx" && shapes[1] === "dddd") || (shapes[0] === "dd" && shapes[1] === "Xxxxx" && shapes[2] === "dddd") || (shapes[0] === "dd" && shapes[1] === "Xxxx" && shapes[2] === "dddd") || (shapes[0] === "d" && shapes[1] === "Xxxxx" && shapes[2] === "dddd") || (shapes[0] === "d" && shapes[1] === "Xxxx" && shapes[2] === "dddd")) ); }) .each((e) => { e.markup(); let eventDate = e.out(); if (isNaN(eventDate[0])) eventDate = "1 " + eventDate; timeline.push({ date: e.out(), unixTime: new Date(eventDate).getTime() / 1000, sentence: e.parentSentence().out(its.markedUpText) }); }); return timeline.sort((a, b) => a.unixTime - b.unixTime); }31:T76e,32:[] 2d:{"id":"5a42f593c5cecef6","slug":null,"title":"timeline","thumbnail":"77d5948453a00f3e5568bbbab34ad74ed64b46b80fe22a22cc10b298826bc9ee","access_level":"public","create_time":"$D2023-03-03T23:39:06.097Z","update_time":"$D2023-03-07T09:47:48.100Z","view_time":null,"first_public_time":"$D2023-03-03T23:39:06.097Z","fork":false,"stars":0,"starred":false,"owner":{"type":"team","id":"d25c001fe27a9f41","login":"ilabra","name":"Ivan Labra","avatar_url":"https://avatars-next.observableusercontent.com/8987cd5cf963a88d75b064ff67e941a7c2177a1b95421a786776c355403f8bcb","tier":"starter_2024"},"version":111,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"c769c086dc13ecf8","login":"ilabra","name":"Ivan Labra","avatar_url":"https://avatars-next.observableusercontent.com/8987cd5cf963a88d75b064ff67e941a7c2177a1b95421a786776c355403f8bcb","tier":null}],"members":[{"type":"individual","id":"c769c086dc13ecf8","login":"ilabra","name":"Ivan Labra","avatar_url":"https://avatars-next.observableusercontent.com/8987cd5cf963a88d75b064ff67e941a7c2177a1b95421a786776c355403f8bcb","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"title":"timeline","cells":[{"id":0,"value":"# timeline","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":45,"value":"$2f","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":78,"value":"{\n const wikiBaseUrl = \"https://en.wikipedia.org/wiki?\";\n const doc = nlp.readDoc(text);\n const potentialEntities = doc.customEntities().out();\n const results = await searchAllTerms(potentialEntities); // return results;\n doc.customEntities().each((e, i) => {\n const match = findBestMatch(results[i], e);\n if (match !== null)\n e.markup(\n ``,\n \"\"\n );\n });\n return html`

${doc.out(its.markedUpText)}

`;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":102,"value":"{\n let htmlElements = [\n `

${\n text || \"text\"\n }

`\n ];\n let lastYear = \"\";\n if (timeLine !== undefined && timeLine.length === 0)\n return html`

Article not found, please enter a valid title

`;\n timeLine.forEach((t) => {\n if (isNaN(t.date)) {\n className = \"big\";\n } else {\n var century = t.date[0] + \"\" + t.date[1];\n var className = \"\";\n if (lastYear !== century) {\n lastYear = century;\n className = \" big\";\n }\n }\n\n htmlElements.push(`\n

${t.date}

${t.sentence}

\n `);\n });\n\n htmlElements.push(\"

\");\n return html`${htmlElements.join(\"\")}`;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":99,"value":"$30","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":80,"value":"findBestMatch = function (ri, e) {\n let index = null;\n if (ri.query.searchinfo.totalhits === 0) return index;\n if (e.out(its.type) === \"simpleADJ\" && !e.out(its.value).match(/^[A-Z]/))\n return index;\n // Extract normalized text of custom entity and split on spaces and rejoin on vertical bar to form regex.\n const rgx = RegExp(e.out(its.normal).split(/\\s+/).join(\"|\"), \"i\");\n for (let k = 0; k < ri.query.search.length; k += 1) {\n const riqsk = ri.query.search[k];\n if (riqsk.title.match(rgx) || riqsk.snippet.match(rgx))\n return { pageid: riqsk.pageid, title: riqsk.title };\n }\n return null;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":82,"value":"searchAllTerms = async function (terms) {\n const allResults = [];\n for (var i = 0; i < terms.length; i += 1) {\n Promises.delay(30); // Be nice to Wikipedia\n const r = await search(terms[i]);\n allResults.push(r);\n }\n return allResults;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":84,"value":"search = async function (term) {\n const url = `https://en.wikipedia.org/w/api.php?format=json&origin=*&action=query&list=search&srsearch=${term}`;\n const response = await fetch(url); // d3.json\n if (!response.ok) {\n throw response.statusText;\n }\n\n return response.json();\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":87,"value":"patterns = [\n {\n name: \"nounPhrase\",\n patterns: [\"[PROPN] [|PROPN] [|PROPN] [|PROPN]\"]\n },\n {\n name: \"nounPhrase\",\n patterns: [\"[PROPN] [ADJ|PROPN] [|PROPN] [|PROPN]\"]\n },\n {\n name: \"nounPhrase\",\n patterns: [\"[PROPN|ADJ] [PROPN]\"]\n },\n {\n name: \"nounPhrase\",\n patterns: [\"[PROPN] [CARDINAL]\"]\n },\n {\n name: \"simpleADJ\",\n patterns: [\"[ADJ]\"]\n }\n]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":55,"value":"isDateTime = Object.create(null)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":57,"value":"(isDateTime[\"DATE\"] = true)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":59,"value":"(isDateTime[\"TIME\"] = true)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":20,"value":"doc = nlp.readDoc(text)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":5,"value":"winkNLP = (await import(\"https://cdn.skypack.dev/wink-nlp\")).default","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":7,"value":"model = (await import(\"https://cdn.skypack.dev/wink-eng-lite-web-model\"))\n .default","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9,"value":"nlp = winkNLP(model)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":11,"value":"its = nlp.its","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":13,"value":"as = nlp.as","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":91,"value":"$31","pinned":true,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined"}],"files":"$W32","stdlib":"1","titling":"auto"}} 2e:"$2d:body"