Name of the institution: Statistical Office in Białystok

Type of institution: Statistical Office

Department: Statistical Office in Białystok

Country: Poland

City: Białystok; Street: ul. Krakowska 13

Webpage: https://bialystok.stat.gov.pl/en/

Contact person: Ms. Marta Jopek M.Jopek@stat.gov.pl

Number of working hours per week: 35 Hours

Detailed programme of the traineeship:
  Work related to organizing and conducting statistical research in the field of environmental protection and nature protection, as well as sharing data in this field. Indicators of Green economy as well as sustainable development. 1. The general principles of functioning of public statistics in Poland; 2. The methodology and organization of research in the field of environmental protection and nature protection; 3. Green economy indicators, including research methodolgy; 4. Databases

Knowledge, skills and competences to be acquired by the end of the traineeship:
  1. General rules for working with statistical data (including primary and secondary statistical confidentiality); 2. Methods of obtaining data for research; 3. Data analysis methods; 4. Sources of data and methods of calculating indicators of green economy and sustainable development; 5. Fundamentals of research methodology in the field of environmental protection and nature protection.

Evaluation plan:
  1. Current assessment of the degree of familiarization with particular issues. 2. Discussion if there is a need to supplement or repeat the material provided in order to consolidate it.

Name of the institution: National Institute of Statistics Romania

Type of institution: Statistical Office

Department: Innovative Tools in Statistics

Country: Romania

City: Bucharest; Street: Blv. Libertatii, no. 16

Webpage: https://insse.ro/cms/en

Contact person: Ms. Anca Hîrsu anca.hirsu@insse.ro

Number of working hours per week: 30 Hours

Detailed programme of the traineeship:
  The trainee will be working in the National Institute of Statistics Office in Bucharest, in the Department for Innovative Tools in Statistics. The trainee will contribute to the execution of the following tasks: - Analysis of synthetic generated mobile network events data for computing population statistics; - Improving the methods of calculation of the location probabilities for mobile devices; - Develop an R package for mobile phone data visualizations.

Knowledge, skills and competences to be acquired by the end of the traineeship:
  The trainee will gain knowledge on the whole process of using mobile phone data for computing population statistics, starting from raw signaling data and going up to the final population estimates. The trainee will be involved in the work process during a project cycle. He/she will be involved in the process of developing a new R package for mobile phone data visualization and gain the competencies to process, analyze and visualize mobile phone data in order to compute population statistics.

Evaluation plan:
  To evaluate the learning outcomes the following criteria will be used: Analytical skills: interpreting data, integrating different source of information, ability to solve problems; Programming skills: ability to design and develop R scripts/packages for data analysis and visualizations; Adaptability - adjusting to changes in work environment, responding to changing ideas, responsibilities, expectations; Communication and teamwork skills - active listening, positive and open attitude.