Die Folge haben wir am 04.11.2020 aufgenommen.
Intro & Feedback
Wir haben schon etwas Angst, dass uns das Intro irgendwann übel aufstößt. Es ist gerade alles absurd – und wir sind mittendrin.
Heute mal ein Kommentar über unseren Hörer @MMagdowski: Krass gutes Best Practice Sharing! (und hier kann man sich die No-Green-Screen-But-LED-Wall-Technik von The Mandalorian anschauen)
News+Alt+Entf
News+O
Cummings, Bryan E.; Waring, Michael S.
Potted plants do not improve indoor air quality: a review and analysis of reported VOC removal efficiencies Artikel
In: Journal of Exposure Science & Environmental Epidemiology, Bd. 30, S. 253–261, 2019.
@article{Cummings2019,
title = {Potted plants do not improve indoor air quality: a review and analysis of reported VOC removal efficiencies},
author = {Bryan E. Cummings and Michael S. Waring},
url = {https://doi.org/10.1038/s41370-019-0175-9},
doi = {10.1038/s41370-019-0175-9},
year = {2019},
date = {2019-11-06},
journal = {Journal of Exposure Science & Environmental Epidemiology},
volume = {30},
pages = {253–261},
abstract = {Potted plants have demonstrated abilities to remove airborne volatile organic compounds (VOC) in small, sealed chambers over timescales of many hours or days. Claims have subsequently been made suggesting that potted plants may reduce indoor VOC concentrations. These potted plant chamber studies reported outcomes using various metrics, often not directly applicable to contextualizing plants’ impacts on indoor VOC loads. To assess potential impacts, 12 published studies of chamber experiments were reviewed, and 196 experimental results were translated into clean air delivery rates (CADR, m3/h), which is an air cleaner metric that can be normalized by volume to parameterize first-order loss indoors. The distribution of single-plant CADR spanned orders of magnitude, with a median of 0.023 m3/h, necessitating the placement of 10–1000 plants/m2 of a building’s floor space for the combined VOC-removing ability by potted plants to achieve the same removal rate that outdoor-to-indoor air exchange already provides in typical buildings (~1 h−1). Future experiments should shift the focus from potted plants’ (in)abilities to passively clean indoor air, and instead investigate VOC uptake mechanisms, alternative biofiltration technologies, biophilic productivity and well-being benefits, or negative impacts of other plant-sourced emissions, which must be assessed by rigorous field work accounting for important indoor processes.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Potted plants have demonstrated abilities to remove airborne volatile organic compounds (VOC) in small, sealed chambers over timescales of many hours or days. Claims have subsequently been made suggesting that potted plants may reduce indoor VOC concentrations. These potted plant chamber studies reported outcomes using various metrics, often not directly applicable to contextualizing plants’ impacts on indoor VOC loads. To assess potential impacts, 12 published studies of chamber experiments were reviewed, and 196 experimental results were translated into clean air delivery rates (CADR, m3/h), which is an air cleaner metric that can be normalized by volume to parameterize first-order loss indoors. The distribution of single-plant CADR spanned orders of magnitude, with a median of 0.023 m3/h, necessitating the placement of 10–1000 plants/m2 of a building’s floor space for the combined VOC-removing ability by potted plants to achieve the same removal rate that outdoor-to-indoor air exchange already provides in typical buildings (~1 h−1). Future experiments should shift the focus from potted plants’ (in)abilities to passively clean indoor air, and instead investigate VOC uptake mechanisms, alternative biofiltration technologies, biophilic productivity and well-being benefits, or negative impacts of other plant-sourced emissions, which must be assessed by rigorous field work accounting for important indoor processes.
News+A
Paper+Alt+Entf
Paper+O: Blödsinn des Monats
lan R. Williams,; Windle, Richard; Wharrad, Heather
How will Education 4.0 influence learning in higher education? Artikel
In: Journal of Learning Development in Higher Education, Bd. 17, 2020, ISSN: 1759-667X.
@article{lanWilliams2020,
title = {How will Education 4.0 influence learning in higher education?},
author = {lan R. Williams and Richard Windle and Heather Wharrad},
url = {https://journal.aldinhe.ac.uk/index.php/jldhe/article/view/572/418},
issn = {1759-667X},
year = {2020},
date = {2020-05-29},
journal = {Journal of Learning Development in Higher Education},
volume = {17},
abstract = {Higher education at the start of the Fourth Industrial Revolution (Schwab, 2015) is undergoing unprecedented change because of the opportunities revealed for usingdigital technology,referred toasEducation 4.0(Feldman, 2018). Although societies throughout time have undergone seismic change, it isthe speed and magnitude of Education 4.0 that is challenging higher educationto respond. Changes include access to knowledge, waysthat knowledge is shared,and the increasing demand by studentsfor their voicesto be heard and to be integral to the design of their learning. However, the opportunities revealed forusingdigital technology must be carefully managed; it is essential academics and higher educationinstitutionsinvestigate the design of learning objects and ensure an authentic student voice is integral tothose resourcesin the Education 4.0 landscape.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Higher education at the start of the Fourth Industrial Revolution (Schwab, 2015) is undergoing unprecedented change because of the opportunities revealed for usingdigital technology,referred toasEducation 4.0(Feldman, 2018). Although societies throughout time have undergone seismic change, it isthe speed and magnitude of Education 4.0 that is challenging higher educationto respond. Changes include access to knowledge, waysthat knowledge is shared,and the increasing demand by studentsfor their voicesto be heard and to be integral to the design of their learning. However, the opportunities revealed forusingdigital technology must be carefully managed; it is essential academics and higher educationinstitutionsinvestigate the design of learning objects and ensure an authentic student voice is integral tothose resourcesin the Education 4.0 landscape.
Machen wir es kurz: Muss man nicht lesen! Wirklich nicht!
Paper+A: Sag mir Deine Nummer und ich sag Dir, wie Du aussiehst
Krüger, Nicolai; Stibe, Agnis; Teuteberg, Frank
The Black Mirror: What Your Mobile Phone Number Reveals About You. Konferenzbericht
Springer, Cham, Bd. 389, 2020, ISBN: 978-3-030-53337-3.
@proceedings{Krüger2020,
title = {The Black Mirror: What Your Mobile Phone Number Reveals About You.},
author = {Nicolai Krüger and Agnis Stibe and Frank Teuteberg},
editor = {Witold Abramowicz and Gary Klein},
url = {https://doi.org/10.1007/978-3-030-53337-3_2},
doi = {10.1007/978-3-030-53337-3_2},
isbn = {978-3-030-53337-3},
year = {2020},
date = {2020-06-08},
urldate = {2020-11-04},
booktitle = {Business Information Systems, 23rd International Conference, BIS 2020, Colorado Springs, CO, USA},
volume = {389},
pages = {18–32},
publisher = {Springer},
address = {Cham},
series = {Lecture Notes in Business Information Processing},
abstract = {In the present era of pervasive mobile technologies, interconnecting innovations are increasingly prevalent in our lives. In this evolutionary process, mobile and social media communication systems serve as a backbone for human interactions. When assessing privacy risks related to this, privacy scoring models (PSM) can help quantifying the personal information risks. This paper uses the mobile phone number itself as a basis for privacy scoring. We tested 1,000 random phone numbers for their matching to social media accounts. The results raise concerns how network and communication layers are predominately connected. PSMs will support future organizational sensitivity for data linkability.},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
In the present era of pervasive mobile technologies, interconnecting innovations are increasingly prevalent in our lives. In this evolutionary process, mobile and social media communication systems serve as a backbone for human interactions. When assessing privacy risks related to this, privacy scoring models (PSM) can help quantifying the personal information risks. This paper uses the mobile phone number itself as a basis for privacy scoring. We tested 1,000 random phone numbers for their matching to social media accounts. The results raise concerns how network and communication layers are predominately connected. PSMs will support future organizational sensitivity for data linkability.
Die eigene Smartphone-Nummer ist schnell geteilt, reicht aber aus, um an einige Daten zu kommen. Welche Bedeutung das hat, kann man mit Privacy Scoring Modellen zeigen, die die Bedrohung für die Privatsphäre quantifizieren. Die Autoren zeigen, dass mithilfe der Mobilfunknummer Profile auf Facebook und WhatsApp zugängig werden können, die wiederum zum Teil mehr Daten preisgeben, als man beim Weitergeben der Mobilnummer eingeplant hätte.
Fundgrube+Alt+Entf
Projekte, Tools, Apps… das sind doch bürgerliche Kategorien. Wir packen einfach alles in die Fundgrube:
- Telepromt.me ist nicht nur ein freier Online-Telepromter, er kann auch durch die Spracherkennung selbst weiter-scrollen.
- A hat WarmUps für Online-Veranstaltungen zusammen geklaut (und auch schon viele Tipps zur Erweiterung bekommen, kommt sicher nach und nach dazu…)
- Bei Kartenolympia soll man die Umrisse von Ländern zeichnen.
- Die Virtuelle Rundgang der KGS Allendorf ist eine sehr schöne Alternative zu Pandemiezeiten.
Politik+Alt+Entf
Veranstaltungstipps
Weltverbesserung+Alt+Entf
Die Mozilla Foundation kennt Ihr sicher von Firefox und Thunderbird, sie finanziert aber auch zahlreiche Projekte von anderen, wie TOR (über 150.000 €), MoodleNet (5000 €), H5P (60.000 €), … alles einsehbar.
Diese und andere Weltverbesserungsideen findet man auch gesammelt hier.
