Ai Patent Analytics

Patent Data Research

Doctoral work examines the structure and properties of patent record collections. Data understanding underpins every analytical claim made in this field.

Patent Document Structure

Research examines how patent documents are organised into distinct sections. Structure awareness is essential for reliable automated text processing.

Claim Language Research

Doctoral study examines the specialised language defining patent protection scope. Claim language is deliberately unusual and resists ordinary text methods.

Specification Analysis Research

Research examines the descriptive portion supporting and explaining an invention. Specification content determines whether claims are adequately supported.

Abstract Analysis Research

Doctoral work examines patent summaries and their usefulness for analysis. Abstracts are convenient and frequently unrepresentative of actual claims.

Drawing And Figure Research

Research examines technical illustrations accompanying patent applications. Figures carry information that accompanying text frequently omits entirely.

Bibliographic Data Research

Doctoral study examines structured metadata attached to patent documents. Metadata quality determines what large scale analysis is actually possible.

Applicant Data Research

Research examines records of the parties filing patent applications. Applicant records are inconsistently recorded across differing patent offices.

Inventor Data Research

Doctoral work examines records of the individuals named as inventors. Inventor records support study of careers, mobility and collaboration.

Assignee Data Research

Research examines records of the organisations currently holding patent rights. Ownership records are essential for any organisation level analysis.

Name Disambiguation Research

Doctoral study examines resolving inconsistently recorded names to single entities. Disambiguation errors substantially distort organisation level findings.

Entity Resolution Research

Research examines linking records referring to the same real world entity. Resolution quality determines the reliability of aggregated statistics.

Address And Geography Data

Doctoral work examines geographic information recorded within patent documents. Location data supports analysis of regional innovation patterns.

Priority Data Research

Research examines the earliest filing dates claimed by patent applications. Priority information establishes the effective date for novelty assessment.

Patent Family Research

Doctoral study examines related filings covering one invention across jurisdictions. Family structure prevents counting one invention many separate times.

Simple Family Research

Research examines strictly defined groupings sharing identical priority claims. Strict definitions produce conservative and highly comparable groupings.

Extended Family Research

Doctoral work examines broader groupings linked through shared priority documents. Broader definitions capture relationships strict grouping entirely misses.

Continuation Practice Research

Research examines follow on filings derived from earlier pending applications. Continuation practice substantially affects patent counting and portfolio size.

Divisional Practice Research

Doctoral study examines applications split from an earlier parent filing. Splitting practice differs substantially between differing patent offices.

Publication Stage Research

Research examines applications published before any decision has been reached. Publication timing determines when applications become visible to others.

Grant Data Research

Doctoral work examines records of applications that were successfully granted. Grant records differ substantially from the applications originally filed.

Legal Status Research

Research examines whether patent rights remain currently in force. Status information is essential and notoriously incomplete across jurisdictions.

Status Event Research

Doctoral study examines recorded events changing the standing of a patent. Event records permit reconstructing the full history of each right.

Renewal Data Research

Research examines payments made to keep granted patents in force. Renewal behaviour reveals what holders privately believe a patent is worth.

Lapse And Expiry Research

Doctoral work examines patents ceasing through abandonment or natural expiry. Cessation timing indicates when technology enters the public domain.

Term Extension Research

Research examines mechanisms lengthening protection beyond the standard period. Extensions matter greatly for medicines requiring lengthy regulatory approval.

Citation Data Research

Doctoral study examines references linking patents to earlier documents. Citations underpin a great many analytical measures used in this field.

Examiner Citation Research

Research examines references added by patent office examiners themselves. Examiner references reflect search practice rather than applicant knowledge.

Applicant Citation Research

Doctoral work examines references supplied by the applicants themselves. Applicant references reflect disclosure obligations and strategic behaviour.

Scientific Literature Citation

Research examines patent references made to published scientific research. These references trace how basic science feeds into applied technology.

Citation Bias Research

Doctoral study examines systematic distortions within patent citation records. Citation practice differs so greatly that comparison requires great care.

Patent Data Quality Research

Research examines errors and inconsistencies within patent record collections. Quality problems propagate silently into every downstream analysis.

Missing Data Research

Doctoral work examines records with absent or incomplete recorded fields. Missing information is rarely random and biases resulting conclusions.

Data Harmonisation Research

Research examines making records from differing offices genuinely comparable. Harmonisation is essential for any cross jurisdiction comparison.

Multilingual Patent Data

Doctoral study examines patent collections spanning many differing languages. Language coverage determines which technologies analysis can actually see.

Patent Translation Research

Research examines automated translation of technical patent documents. Translation quality determines whether foreign filings can be assessed.

Full Text Availability Research

Doctoral work examines which collections provide complete document text. Text availability varies enormously and constrains research feasibility.

Historical Patent Data

Research examines patent records surviving from earlier historical periods. Historical records support long run study of technological change.

Patent Digitisation Research

Doctoral study examines converting paper patent archives into digital form. Digitisation opens historical collections to computational analysis.

Optical Recognition Research

Research examines extracting text from scanned patent document images. Recognition errors remain substantial within older scanned collections.

Database Coverage Research

Doctoral work examines what each patent collection actually contains. Coverage gaps produce conclusions that reflect the source rather than reality.

Open Patent Data Research

Research examines freely available patent collections and their limitations. Open data determines who can perform analysis without commercial access.

Data Licensing Research

Doctoral study examines terms governing use of commercial patent collections. Licensing terms constrain what analyses can be published openly.

Data Infrastructure Research

Research examines systems storing and serving very large patent collections. Infrastructure design determines what analyses remain practically feasible.

Reproducibility Research

Doctoral work examines whether published patent analyses can be repeated. Proprietary data and shifting records make reproduction genuinely difficult.

Patent Classification Research

Research examines systems categorising patents by technical subject matter. Classification underpins search, statistics and technology comparison.

Classification Scheme Research

Doctoral study examines the structure and evolution of classification systems. Scheme changes complicate comparison across differing time periods.

Automated Classification Research

Research examines assigning classification codes using computational methods. Automation addresses growing volumes that manual assignment cannot handle.

Classification Consistency Research

Doctoral work examines whether similar patents receive consistent codes. Inconsistent assignment undermines statistics built upon classification.

Technology Taxonomy Research

Research examines constructing technology categories for analytical purposes. Taxonomy choice fundamentally shapes what any landscape analysis shows.

Emerging Technology Detection

Doctoral study examines identifying new technical areas from patent records. Early identification supports both investment and policy attention.

Patent Search Research

Research examines methods for retrieving relevant documents from collections. Search quality determines whether relevant prior material is found.

Prior Art Search Research

Doctoral work examines finding earlier disclosures relevant to an invention. Prior material determines whether a claimed invention is genuinely new.

Novelty Search Research

Research examines searching conducted before filing a patent application. Early searching prevents investment in applications that cannot succeed.

Freedom To Operate Search

Doctoral study examines searching for rights that a product might infringe. This search protects against launching into an occupied technical space.

Invalidity Search Research

Research examines searching for material capable of overturning a granted patent. Invalidity searching is central to defending against enforcement.

Search Recall Research

Doctoral work examines whether searches retrieve all genuinely relevant material. Missing relevant material carries severe consequences in this domain.

Search Precision Research

Research examines limiting irrelevant results within patent search output. Precision matters because expert review time is extremely costly.

Query Formulation Research

Doctoral study examines constructing effective searches over patent collections. Query construction remains a specialist skill requiring long training.

Boolean Search Research

Research examines structured logical searching across patent collections. Structured searching remains dominant within professional search practice.

Semantic Search Research

Doctoral work examines meaning based retrieval rather than exact term matching. Meaning based methods find documents using differing terminology.

Vector Retrieval Research

Research examines retrieval using learned numerical document representations. Vector methods capture similarity that keyword matching entirely misses.

Chemical Structure Search

Doctoral study examines searching patents by chemical structure rather than text. Structure searching is essential within chemical and medicinal fields.

Sequence Search Research

Research examines searching biological sequences disclosed within patents. Sequence disclosure is extensive and requires specialised search methods.

Image Based Search Research

Doctoral work examines retrieving patents using drawings rather than text. Image search suits designs and mechanical subject matter particularly well.

Search Benchmark Research

Research examines datasets permitting fair comparison of search methods. Benchmark realism determines whether measured improvements transfer to practice.

Search Evaluation Research

Doctoral study examines how patent search performance should be measured. Evaluation must reflect the very high cost of missing relevant material.

Examiner Search Behaviour

Research examines how patent examiners actually conduct their searching. Examiner practice determines what prior material enters the record.

Patent Language Processing

Doctoral work examines computational processing of specialised patent text. Patent language differs sharply from the text most methods assume.

Patent Text Representation

Research examines converting patent documents into computational representations. Representation choice determines what any downstream method can detect.

Domain Language Model Research

Doctoral study examines models trained specifically on patent text collections. Domain training substantially improves performance on patent tasks.

Large Language Model Applications

Research examines general purpose language models applied to patent tasks. These models require careful evaluation against professional expert judgement.

Claim Parsing Research

Doctoral work examines computationally decomposing claims into their elements. Element level analysis supports comparison and infringement assessment.

Claim Scope Measurement

Research examines quantifying how broadly a given patent claim reaches. Scope measures are widely used and rest on genuinely contested assumptions.

Claim Similarity Research

Doctoral study examines measuring resemblance between differing patent claims. Similarity measurement supports both search and portfolio analysis.

Novelty Measurement Research

Research examines quantifying how new a disclosed invention appears. Computational novelty differs from the legal standard applied by offices.

Patent Text Generation Research

Doctoral work examines automated production of patent document text. Generated text raises serious questions about disclosure and inventorship.

Patent Summarisation Research

Research examines producing concise summaries of lengthy patent documents. Summarisation must preserve the technical detail that matters legally.

Question Answering Research

Doctoral study examines answering specific questions from patent collections. Answering systems must be traceable to the underlying source documents.

Information Extraction Research

Research examines pulling structured facts from unstructured patent text. Extraction converts documents into data suitable for large scale analysis.

Named Entity Recognition

Doctoral work examines identifying named things within patent document text. Entity identification underpins most structured extraction pipelines.

Relation Extraction Research

Research examines identifying relationships stated within patent documents. Relationships convert isolated entities into usable structured knowledge.

Chemical Entity Extraction

Doctoral study examines identifying chemical substances described within patents. Chemical extraction is difficult because naming conventions vary greatly.

Biological Entity Extraction

Research examines identifying genes, proteins and organisms within patents. Biological extraction supports analysis of life science patenting.

Technical Term Extraction

Doctoral work examines identifying specialised terminology within patent text. Applicants frequently coin terms specifically to broaden claim reach.

Ontology Construction Research

Research examines building formal vocabularies describing technical domains. Formal vocabularies support consistent retrieval and comparison.

Patent Knowledge Graph Research

Doctoral study examines representing patent information as connected networks. Graph representation reveals relationships tables cannot easily express.

Topic Modelling Research

Research examines discovering thematic structure within patent collections. Discovered themes offer a data driven option to fixed classification.

Embedding Method Research

Doctoral work examines numerical representations capturing document meaning. Embedding quality determines performance across many analytical tasks.

Patent Clustering Research

Research examines grouping similar patents without predefined categories. Clustering reveals technical structure that classification schemes obscure.

Similarity Metric Research

Doctoral study examines measures quantifying resemblance between patents. Metric choice substantially changes which documents appear related.

Novelty Detection Methods

Research examines computationally identifying unusual or distinctive filings. Distinctiveness measures support both search and technology monitoring.

Trend Detection Research

Doctoral work examines identifying shifts in patenting activity over time. Trend detection must separate genuine change from procedural artefact.

Patent Forecasting Research

Research examines projecting future patenting and technological development. Forecasts from patent data carry substantial and frequently understated uncertainty.

Model Evaluation Research

Doctoral study examines assessing computational methods applied to patents. Evaluation must reflect the professional tasks methods claim to support.

Benchmark Dataset Research

Research examines shared datasets supporting comparison between methods. Benchmark availability has historically constrained progress in this field.

Annotation Research

Doctoral work examines expert labelling of patent documents for training. Expert annotation is expensive and its consistency is rarely reported.

Human Expert Comparison

Research examines comparing automated output against professional judgement. Expert comparison is the only meaningful test for most patent tasks.

Explainability Research

Doctoral study examines making automated conclusions interpretable to professionals. Practitioners cannot rely on outputs they are unable to interrogate.

Model Bias Research

Research examines systematic distortions within automated patent analysis. Models trained on granted patents inherit the biases of examination.

Patent Landscape Research

Doctoral work examines mapping patent activity across a technical field. Landscapes inform strategy, investment and public policy decisions alike.

Technology Mapping Research

Research examines visual and structural representation of technical domains. Mapping reveals relationships between areas that lists cannot convey.

Competitive Intelligence Research

Doctoral study examines inferring competitor activity from patent filings. Filings reveal strategic direction well before products reach any market.

White Space Analysis

Research examines identifying technical areas with little existing protection. Apparent gaps may reflect absent opportunity rather than open space.

Portfolio Analysis Research

Doctoral work examines assessing the collected patent holdings of an organisation. Portfolio assessment supports both management and transaction decisions.

Portfolio Strategy Research

Research examines how organisations build and maintain patent holdings. Strategy differs enormously between industries and organisation sizes.

Patent Quality Research

Doctoral study examines what constitutes a well examined and sound patent. Quality is contested and defined differently by differing stakeholders.

Quality Indicator Research

Research examines measurable proxies claimed to reflect patent quality. Indicators are convenient and their validity is frequently unexamined.

Patent Value Research

Doctoral work examines what makes some patents far more valuable than others. Patent value is extremely skewed with most patents worth very little.

Value Indicator Research

Research examines measurable signals claimed to reflect patent worth. Indicator validity varies substantially across differing technical fields.

Citation Based Indicator

Doctoral study examines measures derived from counts of patent citations. Citation measures are widely used and only weakly related to actual value.

Renewal Based Indicator

Research examines inferring worth from decisions to keep patents in force. Renewal decisions reveal private valuation through actual behaviour.

Market Valuation Research

Doctoral work examines relating patent holdings to organisation market worth. Market based approaches capture value that document measures cannot.

Licensing Analytics Research

Research examines analysing agreements permitting others to use patents. Licensing terms are frequently confidential and difficult to observe.

Royalty Rate Research

Doctoral study examines rates charged for permission to use patented technology. Observed rates guide negotiation and damages assessment alike.

Transaction Analytics Research

Research examines analysing sales and transfers of granted patent rights. Transaction records reveal an active and very poorly documented market.

Patent Transfer Research

Doctoral work examines patents moving between differing owning organisations. Transfer patterns reveal restructuring and strategic repositioning.

Ownership Change Research

Research examines recorded changes in who holds granted patent rights. Recorded ownership frequently lags substantially behind actual transactions.

Patent Pledge Research

Doctoral study examines voluntary commitments not to enforce certain patents. Pledges are used strategically and their legal force remains uncertain.

Standard Essential Patent Research

Research examines patents claimed essential to implementing technical standards. Essentiality claims are frequently overstated and rarely independently checked.

Standards And Patents

Doctoral work examines interaction between standard setting and patent rights. This interaction produces persistent disputes across the technology sector.

Patent Pool Research

Research examines arrangements licensing patents from many holders together. Pools reduce transaction burden and raise competition concerns.

Litigation Analytics Research

Doctoral study examines analysing patent disputes brought before the courts. Litigation records reveal which patents are actually being enforced.

Infringement Analysis Research

Research examines assessing whether a product falls within a claim scope. Assessment requires detailed comparison of claims against actual products.

Validity Challenge Research

Doctoral work examines proceedings seeking to overturn granted patent rights. A substantial share of challenged patents are found partly invalid.

Opposition Analytics Research

Research examines third party objections filed against granted patents. Opposition provides a lower cost option than full court proceedings.

Post Grant Review Research

Doctoral study examines administrative reconsideration of granted patents. These proceedings substantially reshaped enforcement in some jurisdictions.

Outcome Prediction Research

Research examines forecasting the results of patent disputes and proceedings. Prediction supports settlement decisions and raises fairness concerns.

Judicial Decision Analytics

Doctoral work examines patterns within written patent court decisions. Decision analysis reveals how legal standards are applied in practice.

Damages Analytics Research

Research examines how compensation is determined within patent disputes. Assessment methods are contested and produce highly variable outcomes.

Injunction Research

Doctoral study examines orders prohibiting continued use of patented technology. Availability of such orders shapes bargaining power substantially.

Assertion Entity Research

Research examines organisations acquiring patents primarily to enforce them. These organisations account for a large share of disputes filed.

Litigation Burden Research

Doctoral work examines the resource demands of patent dispute proceedings. Burden falls disproportionately upon smaller organisations and startups.

Settlement Research

Research examines disputes resolved without any final court determination. Most disputes settle, leaving outcomes largely unobservable to researchers.

Examination Analytics

Doctoral study examines the process by which offices assess applications. Examination determines what protection is ultimately granted to applicants.

Examiner Behaviour Research

Research examines variation in how individual examiners assess applications. Examiner assignment measurably affects the likelihood of grant.

Office Action Analytics

Doctoral work examines written objections issued during patent examination. Objection patterns reveal how legal standards are applied in practice.

Grant Rate Research

Research examines what proportion of applications eventually succeed. Grant rates differ substantially between offices and technical fields.

Examination Pendency Research

Doctoral study examines how long applications take to reach a decision. Pendency creates uncertainty that affects investment and market entry.

Office Backlog Research

Research examines accumulated unexamined applications held at patent offices. Backlogs delay both protection and public certainty about rights.

Examination Quality Research

Doctoral work examines whether examination reliably identifies relevant material. Examination resources are limited relative to the searching required.

Appeal Analytics Research

Research examines challenges to examination decisions within patent offices. Appeal outcomes indicate where examination practice and law diverge.

Applicant Strategy Research

Doctoral study examines strategic behaviour by those seeking patent protection. Strategy shapes filing patterns far more than invention rates do.

Filing Strategy Research

Research examines decisions about what and where to file for protection. Filing choices reflect commercial priority as much as technical merit.

Geographic Filing Research

Doctoral work examines which countries applicants choose to seek protection. Geographic choices reveal expected markets for a given technology.

Filing Timing Research

Research examines when applicants choose to file and to proceed further. Timing decisions balance early protection against commercial uncertainty.

Continuation Strategy Research

Doctoral study examines strategic use of follow on application filings. Continuation practice permits shaping claims around emerging competitor products.

Defensive Publication Research

Research examines disclosure intended to prevent others obtaining protection. Publication is inexpensive and forgoes any exclusive rights entirely.

Secrecy Choice Research

Doctoral work examines choosing confidentiality rather than patent protection. Much valuable technical knowledge is never patented by anyone at all.

Patent Thicket Research

Research examines dense overlapping rights covering one technical area. Dense rights raise negotiation burden for anyone entering the field.

Blocking Patent Research

Doctoral study examines patents obstructing use of other patented inventions. Blocking relationships force negotiation between competing holders.

Patent Race Research

Research examines competition to file first within a technical area. Racing behaviour affects both disclosure timing and research direction.

Cumulative Innovation Research

Doctoral work examines inventions building upon earlier protected inventions. Cumulative building raises questions about how broad protection should be.

Knowledge Spillover Research

Research examines technical knowledge flowing beyond its original creators. Spillovers are central to arguments about the social value of disclosure.

Knowledge Flow Research

Doctoral study examines tracing movement of ideas through patent records. Citation based flow measures rest on genuinely contested assumptions.

Pharmaceutical Patent Analytics

Research examines patenting patterns within medicine research and development. Patent structures around medicines attract sustained public scrutiny.

Biotechnology Patent Research

Doctoral work examines patenting of biological materials and methods. Biological patenting raises distinctive questions about what may be owned.

Chemical Patent Research

Research examines patents claiming chemical substances and their preparation. Chemical claims use structural conventions requiring specialist handling.

Medical Device Patent Research

Doctoral study examines patenting within medical device research and development. Device patenting interacts closely with regulatory approval pathways.

Software Patent Research

Research examines patenting of computer implemented inventions. Eligibility for software remains contested and differs sharply between offices.

Machine Learning Patenting

Doctoral work examines patent activity surrounding learned computational methods. Filing volumes within this area have grown extremely rapidly.

Semiconductor Patent Research

Research examines patenting within semiconductor design and manufacture. This sector features dense portfolios and extensive cross licensing.

Telecommunications Patent Research

Doctoral study examines patenting within communication technology sectors. This sector is dominated by standards and essentiality declarations.

Energy Patent Research

Research examines patenting within energy generation and storage technology. Patent activity indicates where energy transition effort is concentrated.

Green Technology Patenting

Doctoral work examines patenting of environmentally beneficial technologies. Identifying these technologies within records is genuinely difficult.

Agricultural Patent Research

Research examines patenting within agriculture and plant improvement. Agricultural rights interact with separate plant variety protection systems.

Materials Patent Research

Doctoral study examines patenting of engineered materials and their uses. Materials claims frequently span many differing application sectors.

University Patent Research

Research examines patenting activity by universities and public institutions. Academic patenting raises questions about open dissemination of research.

Technology Transfer Analytics

Doctoral work examines moving research findings toward practical application. Transfer effectiveness varies enormously between differing institutions.

Startup Patent Research

Research examines patenting behaviour among newly established companies. Patents influence investment decisions more than direct commercial return.

Small Entity Research

Doctoral study examines patenting by individual inventors and small organisations. Smaller parties face substantial barriers to obtaining and enforcing rights.

Patent Policy Research

Research examines the design and consequences of patent system rules. Policy determines whether the system encourages or obstructs innovation.

Patentability Standard Research

Doctoral work examines the legal requirements an invention must satisfy. Standards differ between offices despite decades of harmonisation effort.

Subject Matter Eligibility

Research examines what categories of invention may be patented at all. Eligibility boundaries are unstable and differ sharply between jurisdictions.

Inventive Step Research

Doctoral study examines the requirement that inventions be genuinely nonobvious. This requirement is the most contested standard in patent examination.

Disclosure Sufficiency Research

Research examines whether patents adequately teach how to use inventions. Disclosure is the public benefit justifying exclusive rights entirely.

Protection Duration Research

Doctoral work examines how long exclusive rights should reasonably last. Duration balances rewarding invention against public access to technology.

Compulsory Licence Research

Research examines mechanisms permitting use without agreement of the holder. These mechanisms exist widely and are invoked comparatively rarely.

Access To Medicines Research

Doctoral study examines patent effects on availability of essential medicines. This tension between reward and access remains genuinely unresolved.

Patent And Development Research

Research examines patent system effects within lower income countries. Systems designed for wealthy economies may fit other contexts poorly.

Global Patent System Research

Doctoral work examines the international architecture governing patent rights. International arrangements determine how protection spreads across borders.

Regional Office Comparison

Research examines differences in practice between major patent offices. Comparison reveals how identical applications receive differing treatment.

Harmonisation Research

Doctoral study examines efforts to align patent rules across jurisdictions. Harmonisation has advanced slowly and remains substantially incomplete.

Patent Office Automation

Research examines automated tools deployed within patent office operations. Office automation directly affects what protection is granted to whom.

Regulatory Interaction Research

Doctoral work examines patents interacting with separate regulatory approval systems. Interaction shapes market entry timing for regulated products.

Econometric Method Research

Research examines statistical methods applied to patent and innovation data. Method choice substantially affects the conclusions studies eventually reach.

Causal Inference Research

Doctoral study examines establishing cause rather than mere association. Policy claims about patent systems frequently rest on weak causal evidence.

Indicator Validity Research

Research examines whether patent measures capture what they claim to measure. Many widely used indicators have never been properly validated.

Survivorship Bias Research

Doctoral work examines distortion from studying only granted or surviving patents. Analysing survivors alone systematically misrepresents the whole system.

Selection Bias Research

Research examines distortion arising from how study samples are chosen. Patents are a selected and unrepresentative sample of all invention.

Measurement Error Research

Doctoral study examines error within patent based measures and counts. Measurement error attenuates relationships and misleads policy conclusions.

Patent Statistics Research

Research examines constructing reliable statistics from patent collections. Statistical conventions substantially affect reported national comparisons.

Innovation Measurement Research

Doctoral work examines patents as an indicator of innovative activity. Patents measure a narrow and unrepresentative slice of all innovation.

Inventor Diversity Research

Research examines who appears as an inventor upon patent documents. Inventorship is highly concentrated among particular groups and regions.

Gender Gap In Patenting

Doctoral study examines the substantial underrepresentation of women inventors. The gap is large, persistent and closing extremely slowly indeed.

Attribution And Credit Research

Research examines how inventive contribution is recognised and recorded. Attribution practice affects careers and raises questions of fairness.

Ethics In Patent Analytics

Doctoral work examines ethical questions raised by patent analysis practice. Analysis informs decisions with substantial consequences for organisations.

Automation And Practice Research

Research examines automation changing professional patent analysis work. Automation shifts which tasks genuinely require human expert judgement.

Professional Practice Research

Doctoral study examines the working practices of patent professionals. Practice knowledge is largely tacit and is rarely documented formally.

Implementation And Adoption

Research examines why analytical methods are or are not adopted in practice. Adoption depends on trust and workflow fit as much as accuracy.