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Society/business Center for Information Technology Research and Innovation Support

Call for Proposals Visualisation, Geo and Data Science 2021

The teams Visualisation, Geodienst and Data Science of the Center for Information Technology (CIT) invite researchers of the University of Groningen (UG) and the University Medical Center Groningen (UMCG) to submit proposals for innovative projects.

After several successful calls the three teams work together on one combined call for proposals. This call for proposals will be the last one in a series of calls.

Who can apply?

This call is open to researchers employed by the UG and the UMCG from all scientific fields.

What can be applied for?

As a researcher you can apply for the support from one or more experts appointed by the CIT for a maximum of 400 hours. While being employed by the CIT, the expert(s) may work at your location in order to facilitate collaboration. The duration of a project is max. two years. A small bench fee (max. €3000,-) is available for items like databases, licenses, hardware.

Support for innovative research

A broad spectrum of products and services is available to support your research such as data analysis, data management, visualization, VR and 3D.

Virtual/augmented reality and 3D data

Virtual/augmented reality and 3D data

The visualization specialists focus on visualizing data and creating interactive xR environments (virtual and augmented reality) and (custom) applications for interacting with xR/3D data. They also provide facilities and equipment for interacting with xR and 3D data, such as a 3D theatre and a VR lab.

For example, their work can allow you to acquire research data or train specific skills in a virtual environment. In the Reality Center laboratory, you can experiment with VR/3D equipment. In addition to VR head-mounted displays and augmented reality interfaces, the VR lab has several devices for scanning objects in 3D and the ability to visualize or print them digitally. The lab also has a set-up for photographic 3D (photogrammetry) shooting.

Geographical data analysis and visualization

Geographical data analysis and visualization

Most data sources carry a geospatial component, whether the data is about governance, public health, economics or ecology. This offers the opportunity to do geographical analysis and to map the data in a comprehensible way. Geographic information systems (GIS) are powerful tools to allow exploration of geodata.

Geodata scientists use GIS and location intelligence to extract relevant information from the spatial component in your data. Techniques such as proximity analysis, accumulation modeling and spatial interpolation are used to reveal geospatial patterns that the data may carry. A team of specialists trained in geodata enrichment, geostatistical analytics, geodata visualization and spatial software development can take your research to the next level.

Data processing and analysis (Data Science)

Data processing and analysis (Data Science)

An increasing number of data sources that can be utilized for scientific research is becoming available. By combining data from different sources, interesting insights can be derived. New techniques allow the retrieval of valuable information, for instance by searching for patterns, anomalies and correlations.

Data scientists deploy modern techniques to extract knowledge from data using a combination of skills in the areas of machine learning, artificial intelligence, computing science, statistics and various other research domains. The aim is to extract relevant knowledge/insight from data in all forms, through data inference and exploration. Data science techniques can be used to suggest hypotheses and extract information from the data, while domain-specific knowledge is needed to formulate a precise hypothesis and work out its consequences.

Criteria

In general the projects should contribute to science.

Furthermore proposed projects should:
  • aim at reusing existing building blocks (e.g. data, tooling or digital content)
  • have a clear specification of deliverables and the role of the experts from CIT
  • be innovative with respect to your research field
  • focus on a clear research question/hypothesis
  • (if applicable) have data that will help answer the research question, preferably already collected and ready for analysis
  • ensure the availability of the researchers involved.
Proposals that meet the following criteria have an advantage:
  • potential to lead to new grant proposals and follow-up projects
  • combining expertise from multiple teams (Geo Science, Data Science and Visualisation)
  • the results can be reused by more scientific disciplines

Procedure and timeline

The call will be open from 1 September 2021. Use the form below to submit your proposal. The selection of proposals will be carried out by a committee of experts.

The timeline is as follows:
  • Deadline submission of the proposals: 31 October 2021
  • Pre-selection (short list): first half of november
  • Communication of the results of the pre-selection and invitations to the candidates for the final selection day: mid November
  • Final selection day: to be announced
  • Communicating the results of the final selection: mid December 2021
  • Start of the projects: from January 2022 onwards

Contact details

You are advised to contact our experts for consultancy before applying. If you intend to apply, you are eligible for a 30 minute consultancy session with experts from one or multiple teams. If you wish to claim this opportunity, you can reach our teams by sending an email.

Last modified:14 October 2021 4.14 p.m.
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