Readers’ views 62 20th anniversaries: Poland, 22 November 2016; Hungary, 7 May 2016 63 Recent speeches by Angel Gurría; List of OECD ambassadors 64 Calendar highlights
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BOOKS 65 Reviews: Making mathematics accessible to all; Urban water 66 New publications 67 Focus on Korea 68 Review: Tapping Latin America’s young potential ORDER FORM... ORDER FORM
DATABANK 69 Korea’s young students excel, as women outsmart men 70 Main economic indicators 72 Korean-African trade techs up; Crossword
Urban future It will be interesting to see how things evolve in the coming decades; particularly in handling trafﬁc, walkability, and general congestion caused by the massive inﬂux of a concentrated population. Most cities are not designed to accommodate the population growth numbers you’ve noted above…Great article!
inequality, and help us understand which efforts are being effective.
Brad V. Done, commenting on “Building better cities: Why national urban policy frameworks matter”, from OECD Observer No 307 Q3 2016, posted on www.medium.com
Women graduates No offence, but earning a degree in formal education is not equivalent to measuring intelligence. If it were so, then you could logically say white people are smarter than black people because more white people have university degrees. So let’s not go down that road. There’s plenty to celebrate about women in higher education without turning this into clickbait.
Sam Ursu, commenting on “Women outsmart men”, from OECD Observer No 307 Q3 2016, posted on www.medium.com Climate, inequality and cities, page 55 Germany Netherlands Switzerland Ireland Belgium Denmark Poland Portugal Norway US Austria France Sweden OECD average Czech Republic Spain Latvia Russia Luxembourg Italy Hungary Lithuania Croatia CABA (Argentina)
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The PISA 2015 scorecard, page 58
Pay gap It seems to me there must be two components to the pay gap: women not reaching the same levels of seniority compared with men with similar education or experience, and women not being paid equally with men at the same level of seniority. Furthermore, it seems there are probably some legitimate, or at least unintentional, reasons for the former cause–such as differences in gender expectations of career ambition–and some malignant reasons–such as discrimination against women during competitive promotions–whereas there are no benign reasons for the latter cause. Understanding the different components of these metrics would help us target the changes necessary to eliminate gender
John Evens, commenting on “Do men’s and women’s choices of ﬁeld of study explain why women earn less than men?”, from http://oecdeducationtoday. blogspot.fr, posted on www.medium.com _____
ISOCARP @ISOCARP A supporting article from @OECDObserver on #spatialplanning growing too complex not to be a technocrat activity. Loys Bonod @loysbonod @OECDEduSkills @OECDObserver Not a word about Korea’s shadow education? @tomloveless99 Mikko Strahlendorff @strahlen Dear 140 char media, please read a little more - Data matters! “Big data, satellites and climate change” by @OECD Jari Pirhonen @japi999 @OECD #privacy principles are a good reminder that privacy is so much more than #security. #digicyber16 #GDPR Angelika Poth @CemrPoth Great! @OECD Secretary General @A_Gurria promises support to cities that engage on inclusive growth #cities Dylan Wiliam @dylanwiliam @OECD published a useful survey of approaches to the regulation and impact of publicly-funded private schools: http://bit.ly/2fYxoVr Follow us on Twitter @OECDObserver Comments and letters may be edited for publishing. Send your letters to email@example.com or post your comments at these portals: www.oecdobserver.org, www.oecdinsights.org, or at the other OECD portals on this page.