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Methods of Secondary Data Analysis on Society and Environment

Informacje ogólne

Kod przedmiotu: WB.INS-9 Kod Erasmus / ISCED: (brak danych) / (0511) Biologia
Nazwa przedmiotu: Methods of Secondary Data Analysis on Society and Environment
Jednostka: Instytut Nauk o Środowisku
Grupy: Przedmioty w języku angielskim dla studentów Erasmus+ na Wydziale BiNoZ
Punkty ECTS i inne: 3.00
Język prowadzenia: angielski

Zajęcia w cyklu "Semestr letni 2016/2017" (zakończony)

Okres: 2017-02-25 - 2017-06-14
Wybrany podział planu:


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zobacz plan zajęć
Typ zajęć: Ćwiczenia, 30 godzin więcej informacji
Wykład, 10 godzin więcej informacji
Koordynatorzy: Małgorzata Grodzińska-Jurczak
Prowadzący grup: Małgorzata Grodzińska-Jurczak, Justyna Gutowska
Lista studentów: (nie masz dostępu)
Zaliczenie: Egzamin
Efekty kształcenia:

(tylko po angielsku) Aims: Practical usage of environmental and social data. Student uses various sources of secondary data (Polish and international) on natural environment, society and economy. Student knows rules of using and analysing secondary data, can conduct analysis and reflect on quality of secondary data.


Knowledge: Student knows basic / most frequenstly used sourses of secondary data on natural environment, economy and society (both international and Polish). Student knows rules and restriction of secondary data analysis and use of various data sources.


Skills: Student can plan and conduct analysis of secondary data. Student can apply various statistical and qualitative technics in data analysis. Student can reflect on quality of secondary data and reliability of data sources. Student can interpret and describe results of analysis in report, in English. Student can present the results in multimedia presentation in English.


Attitudes: Student is aware of importance of access to data, knowledge and results of scientific studies for designing effective environmental conservation programs. Student is aware of importance and role of scientific honesty, data reliability, intellectual property rights and rules of access to data and scientific information.


Wymagania wstępne:

(tylko po angielsku) n/a

Forma i warunki zaliczenia:

(tylko po angielsku) Reports and oral presentation.

Metody sprawdzania i kryteria oceny efektów kształcenia uzyskanych przez studentów:

(tylko po angielsku) Grading based on group presentation and reports

Metody dydaktyczne:

(tylko po angielsku) Lectures and classes in computer lab, various traditional and multimedia teaching materials.

Bilans punktów ECTS:

(tylko po angielsku) Lectures: 10 hrs

Practical classes: 30 hrs

Individual consultations: 2hrs


3 ECTS

Pełny opis:

The course in an introduction to the use of data from social research for environmental science students. It explains how data about society is relevant for solving problems in environmental conservation. Practical usage of both social and environmental data for solving environmental problems is the core part of the course. Students will learn about various sources of secondary (publicly available) data on society and environment and use them to solve practical tasks. Students will also learn about the basics of social research methodology that is important in order to use social data properly (without mistakes). Rules and restriction of secondary data analysis and use of various data sources is also discussed in this course.

Selected concepts of interactions between society and environment that are useful in solving conservation problems and analysis of social and environmental data will be presented. Several tasks for students will be built on the concepts of ecosystem services and their valuation, theories and concepts in human development, and new ideas in measuring human wellbeing and ecological footprint. Various teaching materials will be used in this part – scientific articles and handbooks, policy reports and methodological publications of statistical offices, infographics (including tools for building one’s own) and videos from TEDx presentation.

During practical classes in the computer lab, students will solve short tasks requiring the use of various data sources. In a group work, they will then develop a new research problem and conduct their own analysis based on selected data. Students will explore various international data sources, such as UN and OECD statistics, EUROSTAT, European Environmental Agency data and reports, national domestic statistics (Central Statistical Office), social surveys (WWV, Eurobarometer, ESS, Social Diagnosis), as well as other sources of scientific information.

Literatura:

Example literature:

Bennett N. J. Roth R. (eds.) 2015. The Conservation Social Sciences: What?, How? and Why? Vancouver, BC: Canadian Wildlife Federation and Institute for Resources, Environment and Sustainability, University of British Columbia http://nathanbennett.ca/2014/12/19/new-report-the-conservation-social-sciences-what-how-and-why/

Boslaugh S. Secondary Data Sources for Public Health: A Practical Guide. Cambridge University Press.

Costanza R., Kubiszewski I., et al. 2014. Time to leave GDP behind. Nature 505: 283-285.

Moon K., Blackman D. 2014. Guide to Understanding Social Science Research for Natural Scientists. Conservation Biology 28, No. 5, 1167–1177

Mikusiński G., Possingham H., Blicharska M. 2013. Biodiversity priority areas and religions—a global analysis of spatial overlap. Oryx. doi:10.1017/S0030605312000993

Robinson WS. 2009. Ecological Correlations and the Behavior of Individuals. International Journal of Epidemiology 38: 337–341.

The Happy Planet Index: 2012 Report. The global index of sustainable wellbeing. http://www.happyplanetindex.org/assets/happy-planet-index-report.pdf

Uwagi: (tylko po angielsku)

Kurs jest limitowany ze względu na liczbę miejsc do 16 osób (w tym studenci II SUM i doktoranci BiNoZ). Kurs jest obowiązkowy dla studentów SUM Ecology and Evolution, którzy są rejestrowani w pierwszej kolejności, na pozostałe wolne miejsca będzie można rejestrować się w USOSie, natomiast doktoranci proszeni są o zgłaszanie do dr Joanny Cent do 20 lutego 2015 (joanna.cent@uj.edu.pl).

A course comprises 5 lectures (25 February till 25 March, Wednesdays, 10.30-12.00, room 1.1.3) and 10 classes in computer lab (2 March till 11 May, Mondays, 13.00-15.15, room 2.0.4).

Zajęcia w cyklu "Semestr letni 2017/2018" (jeszcze nie rozpoczęty)

Okres: 2018-02-24 - 2018-06-15
Wybrany podział planu:


powiększ
zobacz plan zajęć
Typ zajęć: Ćwiczenia, 30 godzin więcej informacji
Wykład, 10 godzin więcej informacji
Koordynatorzy: Joanna Cent
Prowadzący grup: Joanna Cent, Małgorzata Grodzińska-Jurczak, Justyna Gutowska
Lista studentów: (nie masz dostępu)
Zaliczenie: Egzamin
Cele kształcenia:

Practical usage of environmental and social data. Student uses various sources of secondary data (Polish and international) on natural environment, society and economy. Student understands the role of analyzing social and economic data in solving practical and theoretical problems in environmental conservation. Student knows rules of using and analysing secondary data, can conduct analysis and reflect on quality of secondary data. Student understands problems in data quality and research reliability and is able to select good and reliable data sources for her own research.

Efekty kształcenia:

Knowledge: Student knows basic and most frequently used sources of secondary data on natural environment, economy and society (both international and Polish). Student knows rules and restriction of secondary data analysis and use of various data sources. Student knows the role of secondary data analysis in research planning / writing grant proposals and solving practical conservation problems.


Skills: Student can plan and conduct analysis of secondary data. Student can search, select and use data sources and data bases in specialized field of knowledge or research. Student can apply various statistical and qualitative technics in data analysis. Student can reflect on quality of secondary data and reliability of data sources. Student can interpret and describe results of analysis in report, in English. Student can present the results in multimedia presentation in English. Student can propose recommendations for further empirical research or practical action in conservation, derived from secondary data analysis. Student can effectively organize team work and contribute to team work. Student can effectively cooperate with other students in his group to improve quality of his own work.


Attitudes: Student is aware of importance of access to data, knowledge and results of scientific studies for designing effective environmental conservation programs. Student is aware of importance and role of scientific honesty, data reliability, intellectual property rights and rules of access to data and scientific information. Student is aware of importance of methodological transparency and meticulous description of methodology and analysis in his own work. Student understands benefits and challenges of team work.

Wymagania wstępne:

Good knowledge of English (reading, writing, speaking), basic knowledge of statistical analysis.

Forma i warunki zaliczenia:

Condition of admission: participation in classes, fulfilling on-going tasks during classes, reviewing report of other group.

Pass / no pass of practical class based on assessment of student’s individual report. The individual report includes use and validation of data sources selected by a teacher, in order to provide answer to particular research questions. In order to pass, a student need know particular data sources, be able to use them to obtain data, analyses data in order to provide answer to research questions and describe results in a form of scientific report.

Final grading is based on evaluation of students’ group work and group presentation. In order to obtain positive grade, students need to formulate research problem, prepare plan of analysis of secondary data, select and evaluate data sources, analyze data, describe results and present conclusions and recommendations. The results need to be described in a report and present in multimedia presentation in a communicative and attractive way.

Metody sprawdzania i kryteria oceny efektów kształcenia uzyskanych przez studentów:

Individual and group reports, oral presentation and review of other students report.

Metody dydaktyczne:

• lecture

• case studies, discussion,

• video materials,

• students’ individual work in computer lab,

• students’ projects and team work.

Bilans punktów ECTS:

Participation:

Lecture – 10 hrs

Classes (computer lab) - 30 hrs


Student’s individual work:


• Preparation for classes - 5 h

• Reading – 5 h

• Preparation of presentation – 15 h

• Preparation of individual report – 15h

• Preparation of group report– 10h


total: 90 h = 3 pkt ECTS

Pełny opis:

The course is an introduction to the use of social, economic and environmental secondary data for environmental science students. It explains how data about society and economy is relevant for solving problems in environmental conservation. Practical usage of both social and environmental data for solving environmental problems is the core part of the course. Students will learn about various sources of secondary (publicly available) data on society, economy and environment and use them to solve practical tasks. Students will also learn about the basics of social research methodology that is important in order to use social data properly (without mistakes). Rules and restriction of secondary data analysis and use of various data sources is also discussed in this course.

During the lectures, selected concepts of interactions between society and environment that are useful in solving conservation problems and analysis of social and environmental data will be presented. Several tasks for students will be built on the concepts of ecosystem services and their valuation, theories and concepts in human development, and new ideas in measuring human wellbeing and ecological footprint. The concepts will be used by students to design their own research based on the use of secondary data. Various teaching materials will be used in this part – scientific articles and handbooks, policy reports and methodological publications of statistical offices, infographics (including tools for building one’s own) and videos from TEDx presentation.

During practical classes in the computer lab, students will solve short tasks requiring the use of various data sources. In a group work, they will then develop a new research problem and conduct their own analysis based on selected data. Students will explore various international data sources, such as UN and OECD statistics, EUROSTAT, European Environmental Agency data and reports, national domestic statistics (Central Statistical Office), social surveys (WWV, Eurobarometer, ESS, Social Diagnosis), as well as other sources of scientific information. Students will critically evaluate data sources used in their own analysis. Students will contribute to other groups’ work by preparing and discussing short reviews of their reports.

Literatura:

Bennett N. J. Roth R. (eds.) 2015. The Conservation Social Sciences: What?, How? and Why? Vancouver, BC: Canadian Wildlife Federation and Institute for Resources, Environment and Sustainability, University of British Columbia http://nathanbennett.ca/2014/12/19/new-report-the-conservation-social-sciences-what-how-and-why/

Boslaugh S. Secondary Data Sources for Public Health: A Practical Guide. Cambridge University Press.

Costanza R., Kubiszewski I., et al. 2014. Time to leave GDP behind. Nature 505: 283-285.

Moon K., Blackman D. 2014. Guide to Understanding Social Science Research for Natural Scientists. Conservation Biology 28, No. 5, 1167–1177

Mikusiński G., Possingham H., Blicharska M. 2013. Biodiversity priority areas and religions—a global analysis of spatial overlap. Oryx. doi:10.1017/S0030605312000993

Robinson WS. 2009. Ecological Correlations and the Behavior of Individuals. International Journal of Epidemiology 38: 337–341.

The Happy Planet Index: 2012 Report. The global index of sustainable wellbeing. http://www.happyplanetindex.org/assets/happy-planet-index-report.pdf

Uwagi: (tylko po angielsku)

Kurs jest limitowany ze względu na liczbę miejsc do 16 osób (w tym studenci II SUM i doktoranci BiNoZ). Kurs jest obowiązkowy dla studentów SUM Ecology and Evolution, którzy są rejestrowani w pierwszej kolejności, na pozostałe wolne miejsca będzie można rejestrować się w USOSie, natomiast doktoranci proszeni są o zgłaszanie do dr Joanny Cent do 20 lutego 2015 (joanna.cent@uj.edu.pl).

A course comprises 5 lectures (25 February till 25 March, Wednesdays, 10.30-12.00, room 1.1.3) and 10 classes in computer lab (2 March till 11 May, Mondays, 13.00-15.15, room 2.0.4).

Opisy przedmiotów w USOS i USOSweb są chronione prawem autorskim.
Właścicielem praw autorskich jest Uniwersytet Jagielloński w Krakowie.