Uniwersytet Warszawski, Wydział Nauk Ekonomicznych - Centralny System Uwierzytelniania
Strona główna

Smart cities for ageing societies – multidisciplinary seminar

Informacje ogólne

Kod przedmiotu: 2400-ZEWW828-OG
Kod Erasmus / ISCED: 14.3 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0311) Ekonomia Kod ISCED - Międzynarodowa Standardowa Klasyfikacja Kształcenia (International Standard Classification of Education) została opracowana przez UNESCO.
Nazwa przedmiotu: Smart cities for ageing societies – multidisciplinary seminar
Jednostka: Wydział Nauk Ekonomicznych
Grupy: Przedmioty ogólnouniwersyteckie na Uniwersytecie Warszawskim
Przedmioty ogólnouniwersyteckie społeczne
Przedmioty ogólnouniwersyteckie Wydziału Nauk Ekonomicznych
Punkty ECTS i inne: (brak) Podstawowe informacje o zasadach przyporządkowania punktów ECTS:
  • roczny wymiar godzinowy nakładu pracy studenta konieczny do osiągnięcia zakładanych efektów uczenia się dla danego etapu studiów wynosi 1500-1800 h, co odpowiada 60 ECTS;
  • tygodniowy wymiar godzinowy nakładu pracy studenta wynosi 45 h;
  • 1 punkt ECTS odpowiada 25-30 godzinom pracy studenta potrzebnej do osiągnięcia zakładanych efektów uczenia się;
  • tygodniowy nakład pracy studenta konieczny do osiągnięcia zakładanych efektów uczenia się pozwala uzyskać 1,5 ECTS;
  • nakład pracy potrzebny do zaliczenia przedmiotu, któremu przypisano 3 ECTS, stanowi 10% semestralnego obciążenia studenta.

zobacz reguły punktacji
Język prowadzenia: angielski
Rodzaj przedmiotu:

ogólnouniwersyteckie

Skrócony opis:

The aim of the on-line seminar is to analyze the concept of smart cities in relation to active aging. The rationale behind is that aging is the major challenge faced by cities today and onto the future, in particular in combination with the current and possible future pandemics and the climate change. We want to analyze interactions within the aging city, which is the first step for planning new policies of motivating and enabling elderly people to work and to remain an active part of a community. In order to do it, we offer a series of research seminars, in which students and scientists interested in ageing and smart city can meet and discuss problems they are investigating, show their work, identify potential research problems and listen to the presentations of invited experts.

If you want to attend the seminar, please contact its coordinator Dr. Grzegorz Kula (gkula@wne.uw.edu.pl).

Pełny opis:

The outcome of the project is to jointly create a multidisciplinary course, which will unfold according to students and lecturers interest. The seminar will be conducted simultaneously via teleconference software. However, depending on the development of the pandemics and local health situation, meetings in person at each university are possible. Students and invited researchers will discuss selected topics and present the results of their own research. The seminar is designed not only to help lecturers and students involved to obtain new knowledge and develop new research, but also to serve other projects within 4EU, e.g. programs educating medical personnel may be interested to join the meeting when we invite experts in on-line medical services.

The seminar aims to analyze how cities using digital technology can contribute to successful ageing and by that handle the social and economic issues arising within ageing societies. In parallel, we ask what prerequisites are in need at the societal and individual level to further this process. The use of technology in the design of smart cities can contribute to the improvement of care, the creation of adequate infrastructure; the supply of goods and services demanded by seniors can increase their level of activity and quality of life at large. The inclusion of all age groups into an active city life improves the social and economic situation of all members of the society. Thus, smart city is not only about technology, but also about “good” living. Thus, due to the nature of the research challenges coming with smart cities, the webinar is an interdisciplinary course combining, e.g., economics, sociology, political sciences, social geography, psychology and gerontology. Contrasting the smart city view with a (far from smart) rural aging view would also be possible as an input to the webinar.

There will be 8 meetings, including at least 6 with invited experts. The list of potential subjects is very broad, from the financial support for the elderly or the work of older adults, though the creation of new infrastructure or city design and the acceptance of technology by older adults, behavioral aspects of this, to successful ageing. Actual topics depend on the interests of the participants and the availability of experts. We plan the seminar in a blended format, with students and lecturers from one university attending meetings together and connecting on-line with other universities. However, the on-line attendance of participants is also possible, depending on the local health conditions. In May we plan a general meeting of 1 or 2 days probably in Heidelberg.

Information on the dates of webinar sessions will be sent to those who have signed in to attending the webinar as soon as possible. The meetings will take place on Wednesdays, from 9:30 to 11:00.

If you want to attend the seminar, please contact its coordinator Dr. Grzegorz Kula (gkula@wne.uw.edu.pl).

Literatura:

Baisch, S., Kolling, T., Schall, A., Selic, S., Rühl, S., Kim, Z., Rossberg, H.H., Klein, B., Pantel, J., Oswald, F., Knopf, M. (2017). Acceptance of social robots by elder people: Does psychosocial funcitoning matter? International Journal of Social Robotics, 9, 293- 307.

Hank, C. (2012). How “successful” do older Europeans age? Findings from SHARE. Journal of Gerontology: Social Sciences, 66, 230-236.

Lim KTK and Yu R (2015) Aging and wisdom: age-related changes in economic and social decision making. Front. Aging Neurosci. 7:120.

Lindenberger, U. (2014). Human cognitive aging: Corriger la fortune? Science, 346, 572-548.

Maja J. Mataric, Brian Scassellati: Socially assistive Robotics Robotics In: Siciliano, Bruno, and Oussama Khatib, eds. Springer handbook of robotics. Springer, 2016.

H.F. Machiel Van der Loos, David J. Reinkensmeyer, Eugenio Guglielmelli: Rehabilitation and Health Care Robotics In: Siciliano, Bruno, and Oussama Khatib, eds. Springer handbook of robotics. Springer, 2016.

Margaret McConnell (2013) Behavioral economics and aging J. Econ. Ageing, 1 (2013), pp. 83-89

Michael, Yvonne L., Mandy K. Green, and Stephanie A. Farquhar. "Neighborhood design and active aging." Health & place 12.4 (2006): 734-740

Mitzner, T.L., Boron, J. B., Fausset, C. B., Adams, A. E., Charness, N., Czaja, S. J., Dijkstra, K., Fisk, A. D., Rogers, W. A., & Sharit, J. (2010). Older adults talk technology: Their usage and attitudes. Computers in Human Behavior, 269, 1710-1721.

Oswald, F., Hieber, A., Wahl, H.-W., & Mollenkopf, H. (2005). Ageing and person-environment fit in different urban neighbourhoods. European Journal of Ageing, 2(2), 88-97 (DOI: 10.1007/s10433-10005-10026-10435)

Oswald, F., Jopp, D., Rott, C. & Wahl, H.-W. (2011). Is aging in place a resource for or a risk to life satisfaction? The Gerontologist, 51(2), 238-250. doi: 10193/geront/gnq096

Shoval, N., Wahl, H.-W., Auslander, G., Isaacson, M., Oswald, F., Edry, T., Landau R. & Heinik, J. (2011). Use of the global positioning system to measure the out-of-home mobility of older adults with different cognitive functioning: Ageing & Society, 31, 849-869. doi: 10.1017/S0144686X1000145

Sproten, A. and Schwieren C. (2015): Age Differences in the Reaction to Incentives - a Test of the Suc-cessful Ageing Extension of Social Production Functions Theory, The Journal of the Economics of Ageing 2015- 6: 176–186

Roman Romero-Ortuno, Lisa Cogan, Clodagh U. Cunningham, Rose Anne Kenny, Do older pedestrians have enough time to cross roads in Dublin? A critique of the Traffic Management Guidelines based on clinical research findings, Age and Ageing, Volume 39, Issue 1, January 2010, Pages 80–86

Schmidt, L. & Wahl, H.-W. (2019). Predicting performance in technology-based tasks in older adults with mild cognitive impairment and healthy controls: The role of self-efficacy and obsolescence. The Gerontologist, 59, 90-100. doi: 10.1093/geront/gny062

Wahl, H.-W., Iwarsson, S., & Oswald, F. (2012). Aging well and the environment: Toward an integrative model and research agenda for the future. The Gerontologist, 52(3), 306-316. doi:10.1093/geront/gnr154

Wahl, H.-W., Siebert, J. & Tauber, B. (2017). Theories of successful aging. In Pachana, N. (Ed.). Encyclopedia of geropsychology (S. 1931-1940). New York: Springer.

Wettstein, M., Wahl, H.-W., & Schwenk, M. (2018). Life space in older adults. In B. Knight, S. D. Neupert, N. D. Anderson, H.-W. Wahl, & N. A. Pachana (Eds.), Oxford Research Encyclopedia of Psychology and Aging (S. 1205-1225). London: Oxford University Press.

Efekty uczenia się:

Knowledge:

1. Students know about the ageing process and its consequences at the local and state level (S2A_W02, S2A_W03, S2A_W04, S2A_W05, S2A_W07, S2A_W08, S2A_W09).

2. Students know methods and tools of analysis of individual and population ageing outcomes (S2A_W06).

3. Students gain a better understanding of what interdisciplinary ageing research is able to contribute.

Skills:

1. Students are able to model, analyze and interpret social and economic processes resulting from population ageing (S2A_U01, S2A_U02, S2A_U03, S2A_U08).

2. Students are able to use their knowledge and analytical skills to solve research problem (S2A_U05, S2A_U06, S2A_U07).

3. Students are able to conduct simple quantitative and qualitative empirical research, choose proper data sources and present results orally and in a written form (master thesis) (S2A_U01, S2A_U02, S2A_U03, S2A_U07, S2A_U09, S2A_U10).

Social values:

1. Students are able to prioritize research tasks (S2A_K03).

2. Students are able to schedule and perform life-long learning (S2A_K06).

Metody i kryteria oceniania:

Attendance at at least four meetings (two in a semester). Participation in discussions during sessions and conducting a small-research project (Equivalent to a „Hausarbeit“ for Heidelberg students) under the supervision of one of the coordinators. The students will have an opportunity to present their projects at the general meeting in May.

Przedmiot nie jest oferowany w żadnym z aktualnych cykli dydaktycznych.
Opisy przedmiotów w USOS i USOSweb są chronione prawem autorskim.
Właścicielem praw autorskich jest Uniwersytet Warszawski, Wydział Nauk Ekonomicznych.
ul. Długa 44/50
00-241 Warszawa
tel: +48 22 55 49 126 https://www.wne.uw.edu.pl/
kontakt deklaracja dostępności USOSweb 7.0.3.0 (2024-03-22)