Multi-Ball VI - January 29, 2020
Daily Reading and Thoughts…
Daily Reading and Thoughts…
Daily Reading and Thoughts…
In no particular order. 1. Labour Arbitrator overturns demotion of fire fighters who lost licenses due to impaired driving | 2017 CanLII 12120 (ON LA) [http://www.canlii.org/en/on/onla/doc/2017/2017canlii12120/2017canlii12120.html] - In a Labour Arbitration ruling which is well written and alive to the…
In no particular order: 1. Uber Drives Into Big Trouble | NPR On Point [http://www.wbur.org/onpoint/2017/03/03/uber-scandal-harassment] - a great discussion of the reputation crisis facing Uber during the past few weeks with informed guests and good callers to the show. 2. Sifting through the…
My not so-daily sharing of links from across the WWW In no particular order: 1. OMB Reform: Contested development | Toronto Star [http://projects.thestar.com/ontario-municipal-board-reform/contested-development/] - the first of a three-part series by The Toronto Star about the Ontario Municipal Board. 2. Idea: An Indivisible guide for journalism…
My Daily* sharing of links from across the WWW. 1. The power of the press can’t hold populism down, Peter Preston, The Guardian [https://www.theguardian.com/media/2017/feb/12/populism-power-press-cant-hold-down-brexit-trump-grillo] - he's right, the world is happening despite mainstream media positions. The media wants to defend their…
My not-so-daily list of readings from across the WWW. In no particular order: 1. Fake news is a red herring [http://www.dw.com/en/fake-news-is-a-red-herring/a-37269377] - a great read from Ethan Zuckerman, director of the Center for Civic Media at MIT, published by Deutsche Welle.…
My increasingly not daily list of readings from across the WWW In no particular order: 1. Rose: Thoughts about the demise of electoral reform – or, we should have seen it coming [http://ottawacitizen.com/opinion/columnists/rose-thoughts-about-the-demise-of-electoral-reform-or-we-should-have-seen-it-coming] - Queen prof Jonathan Rose on electoral reform. 2. Using Machine Learning to…