CrowdAnalyser Events

WorkShop 2015

Invited Talks

Prof. Paul Longley: The provenance and use of geospatial Big Data, 10-11am s.t., Seminar room (room 104)

This presentation reports on the research activities of the Consumer Data Research Centre (CDRC), which is one of the UK’s current ‘Big Data’ investments funded by the Economic and Social Research Council (ESRC). Established in 2014, the CDRC’s mission is to bring sharper focus to the deployment and use of business and social media data, in support of decision-making across a widening spectrum of applications. After describing the three tier service structure of the CDRC, this presentation sets out the range of applications that are under development, the researcher and user interfaces that have been devised, and the ways in which business data may be evaluated and linked to conventional social survey sources. The presentation then focuses upon issues of establishing the provenance of business and social media data, and the wider implications of Big Data for the practice of social science. It also discusses some practical ways in which the value of new data sources may be reliably assessed.

Prof. Paul Longley is a lead scientist at University College of London (UCL).

Guy Lansley: Small area profiling through geodemographics, 11-12am s.t., Seminar room (room 104)

Guy Lansley will present research results from an extended case study of the use of address register and Twitter geo-temporal demographics to understand the activity patterns of different ethnic groups in London. These patterns are linked to the geography of residence as depicted using conventional data sources such as the UK Census of Population.

Guy Lansley is a research associate at University College of London (UCL).

Guy Lansley: Geodemographic analysis using R: Hands-on workshop, 1-3pm s.t., CIP Pool (room 003)

Guy Lansley will hold a workshop which provides attendees with the basic theoretical and practical knowledge necessary to produce a valid geodemographic segmentation from small area population data. The lecture will provide an introduction to geodemographic classifications as a useful tool for neighbourhood insight. It will then give an overview of the key analytical steps necessary to build a geodemographic segmentation from large data sets on the population. Focusing on Census data from the UK, the following computer practical will provide an opportunity for attendees to develop their own skills by building and then visualising a geodemographic classification from population data using open software (namely R and QGIS).

Prerequisite: basic experience in R

Friday, 27th of November 2015 (talks & workshop)

1st talk 10-11am s.t.
2nd talk 11-12am s.t.
Lunch break 12-1pm s.t.
Hands on workshop 1-3pm s.t.
Coffee break & talk 3-5pm s.t.
Social Event Christmas market 6pm s.t.
Pre-Christmas Dinner Kulturbrauerei Heidelberg 8pm s.t.
  • From the main trainstation: Tramlines 21 (direction 'Hans-Thoma-Platz') or 24 (direction 'Handschuhsheim Nord'), stop 'Technologiepark'
  • From Bismarckplatz: Bus 31 (direction 'Kopfklinik'), stop 'Technologiepark'

Create timetables for the bus or tram lines here.
Create maps of the bus or tram lines here.

WorkShop 2014

Invited Talks

Dr. Gennady Andrienko: Space, Time, and Visual Analytics

Visual analytics aims to combine the strengths of human and electronic data processing. Visualization, whereby humans and computers cooperate through graphics, is the means through which this is achieved. Seamless and sophisticated synergies are required for analyzing spatio-temporal data and solving spatio-temporal problems. In modern society, spatio-temporal analysis is not solely the business of professional analysts. Many citizens need or would be interested in undertaking analysis of information in time and space. Researchers should find approaches to deal with the complexities of the current data and problems and find ways to make analytical tools accessible and usable for the broad community of potential users to support spatio-temporal thinking and contribute to solving a large range of problems.

Dr. G. Andrienko is a lead scientist at Fraunhofer Institute IAIS and professor (part-time) at City University London.

Dr. Daniel Kondermann: Can we crowdsource low-level vision?

Dr. D. Kondermann will present several approaches to crowdsourcing in computer vision and the key factors for determining whether crowdsourcing is feasible for a given project or not. To underline the ideas, he will present three recent publications for crowdsourced object contour and feature correspondence estimation and subsequent optical flow estimation. Results indicate that even for low-level vision crowdsourcing can be used, but that the design of the user interfaces has tremendous influence on the quality of the results.


Download the workshop leaflet with information about the talks, schedule, etc. here. (A printer-friendly version you can find here. It is also provided in print at the workshop.)


Thursday, 8th of May 2014 (talks)

  • Speyrer Straße 6, room H2.22, 2nd floor
  • The nearest Bus stops are Speyerer Straße (Lines 717, 720, 721) and Montpellierbrücke (HSB 26, 33, 96), both located directly across the street.
  • The HCI is within walking distance of the Main Train Station (Heidelberg Hauptbahnhof). For detailed walking instructions, click here.

Friday, 9th of May 2014 (hands-on workshop)

  • Berliner Straße 48, room 003, ground floor
  • From the main trainstation: Tramlines 21 (direction 'Hans-Thoma-Platz') or 24 (direction 'Handschuhsheim Nord'), stop 'Technologiepark'
  • From Bismarckplatz: Bus 31 (direction 'Kopfklinik'), stop 'Technologiepark'

Create timetables for the bus or tram lines here.
Create maps of the bus or tram lines here.


(Registration closed)

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