Projekt

Research and innovation screening tool

Udbyder

Vejleder

Sted

København og omegn

When proposing new research or business ideas, one must cover substantial publication or patent material in order to ensure it is indeed new. Often, researchers look mainly at publications whereas industry tend to look at patents, though both sources contain such information, and increasingly so as industries tend to work in a more research based manner.

This project aims to look at how we can combine publication and patent information in order to answer questions like which authors/players are dominant for a given subject? What are the hubs (networks) for a subject? How are the publication and patent data interlinked (or not) for a given subject? Which university-company collaborations are visible through the patents and publications data?

A subset of data used for this study could e.g. be retrieved using scholar.py (on Github) for retrieval of Google Scholar data and patent data could e.g. be retrieved using the PatentsView API. Other data sources are also available and can be considered.

We will specify particular examples of interest, like e.g. 3d printers, additive manufacturing, or digital twins.

Text mining, bag of words, recurrent neural nets, transfer learning, network analysis or machine learning methods can be used to make visualizations and analyses to answer key questions and combine the data sources.

I samarbejde med

General Electrics, US

Forudsætninger

The student should be familiar with machine learning and text mining methods/deep learning, and preferably also network analysis.

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Kontakt

Virksomhed/organisation

DTU Compute

Navn

Line Katrine Harder Clemmensen

Stilling

Lektor

Mail

lkhc@dtu.dk

Vejleder-info

Kandidatuddannelsen i Digitale Medieteknologier

Vejleder

Line Katrine Harder Clemmensen

ECTS-point

30 - 35

Type

Kandidatspeciale

Kandidatuddannelsen i Informationsteknologi

Vejleder

Line Katrine Harder Clemmensen

ECTS-point

30 - 35

Type

Kandidatspeciale

Kandidatuddannelsen i Matematisk Modellering og Computing

Vejleder

Line Katrine Harder Clemmensen

ECTS-point

30 - 35

Type

Kandidatspeciale

OM DTU

DTU er et teknisk eliteuniversitet med international rækkevidde og standard. Vores mission er at udvikle og nyttiggøre naturvidenskab og teknisk videnskab til gavn for samfundet. 10.000 studerende uddanner sig her til fremtiden, og 5.700 medarbejdere har hver dag fokus på uddannelse, forskning, myndighedsrådgivning og innovation, som bidrager til øget vækst og velfærd.

Find os her

Anker Engelunds Vej 1
Bygning 101A
2800 Kgs. Lyngby


45 25 25 25

dtu@dtu.dk

CVR-nr. 30 06 09 46

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