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Publicación de memorias de ENCUENTROS URBANOS +

descarga el pdf: Encuentros Urbanos

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October 20 th . 14h00-16h00. Room R17

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After several meetings with representatives of the eleven academic institutions of Quito, the 8th of March of 2016 the “ Letter of compromise and alliances for the city’s research” was signed. This letter comes up in the context of the preparation of Quito as host city of Habitat III. In conversation with the delegates, series of intentions and own events were identified towards Habitat III. Historically, Quito’s universities have worked in their projects of research in their own way. It has produced duplicity of information and vain efforts due to the lack of awareness of the state of the art of consolidated projects. This “endogamy” extends also to the interaction with other schools or institutions involved in the city’s research from other disciplines.

Therefore, the need to socialize investigations with contributions to the science of the city was recognised, and also the need to join efforts in one local agenda towards Habitat III. This lead will be the causative to generate academic spaces that transcend the institutions through a posture of knowledge management of the city’s science instituting a network of local researchers which until now didn’t exist. So, in this way a Standing Commitee of delegates for the “RED ACADÉMICA PARA ESTUDIOS DE CIUDAD” (Academic network for city’s research) is established. The network is formed by:

Each one of the institutions has committed to be the host of one “URBAN MEETING” which consists in a presentation of research or projectual lines in which they are focused. It will be complemented with a roundtable about the role of the academy in the discussion and implementation of the new Urban Agenda. “ENCUENTRO URBANO +” during the Habitat III Conference will be the closing event of these previous conversations.

As an additional contribution to strengthen the local network, we will receive contributions from some members of “Alliance4Tech”, a strategic network funded by Centrale Supélec de Paris, Politecnico di Milano, Technische Universität Berlin and University College London aiming at the creation of a European Campus without borders for their students and faculties. Thanks to the synergy between Red Academica Ciudad and Alliance4Tech, “Encuentro Urbano +” will give the opportunity to open new research horizons by exploring which links join European and Latin American cities and discussing the latest achievements in Urban Studies reached by each university.

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Good morning, good morning! We’re kicking things off at Pubcon this morning with a keynote from three Googlers. What more could you really want to start your search day? On stage we haveNathan Johns (Senior Search Quality Analyst and one of my favorite folks), Eric Kuan (Webmaster Relations) and Gary Illyes (Search Quality Analyst). This should be good. Joe Larato is playing moderator, host and emcee here.

Gary: Voice search is very exciting. More and more people use voice search or voice commands in general. It’s a new way to interact with devices and we are still in the early stages of voice search, even though we have improved tremendously over the past couple of years. Both our undesrtanding of the queries and the results that we serve for thsoe queries are better. For Search Console, we are actually showing the voice queries, as well. The queries you get are unfiltered. If someone does a voice search, it will come up in analytics. There is no filter for finding the voice queries. That’s something that we brought up with the Search Console leads and they took into consideration to add something like that in the future. He says he generally sucks with timelines so he will not say when this will hapen, if at all, but Google is working on it.

Nathan: In general, people are still learning how to issue a query via voice. It’s a new mode of searching. That’s still happening. It’s still pretty new. He thinks that a decent chunk of all of the new queries are via voice. The public is learning how to issue queries in a new way.

Gary: He sees that there are parts to bring better software to the smart devices and eventually that might mean that these devices are able to understand spoken queries as well.

Gary: It’s one of the hot topics nowadays. There are mutliple external studies. The future of Featured Snippets is growth, better recall and better precision with smart devices where you only have space for one answer/one result. There, Featured Snippets help the user enormously. If you do a query on the Google app and say “why is the sky blue” you will get probably a partial response and it tells you that for more you would go to whatever website. He expects that we will see more Featured Snippets but also more accurate ones, in general.

Gary: Featured Snippets is a pretty volatile feature right now because it’s under active development. People are coming up with new ideas on how to improve the snippets. Even if you get a Featured Snippet today, you might lost it in 24 hours because we’ve changed something slightly about how we want to trigger them or what conditions a result has to satisify to be featured. But then 24 hours later you might get it back. He can’t make any recommendations on how to get a Featured Snippet because it is so volatile.

Eric: I don’t think there is anything specifically that we have coming. We’ve been making changes to Panda and Penguin. He’s glad they got those pushed through. Philosophically, he’s never one to be super worried about algo changes (because he works at Google?). Everything is geared towards making results better for users. As long as you are focused on creating good content for your users you’ll be in a good place. Aw, wasn’t that lovely?

Gary: Separate mobile sites might have some problems but we have recommendations for how to avoid being negatively effected by the mobile first indexing. It will take a few years for the rollout. We want to make sure that we don’t hurt the system with this change. What we are doing is analyzing what actually might hurt sites when we move them to mobile first indexing. If we see your site will be hurt, we will not move it to the mobile first index for now.

Nathan: I would say just by the very nature of machine learning and Rankbrain, one of the challenges has always been debugging. As with lots of other things that we do, especially things that have a potentially large impact, we take a lot of caution with how it impacts results. He thinks they are taking their time and paying very close attention to make sure we understand as much as we can about how it operates and what it’s doing. It’s definitely been a priority for us. There haven’t been any updates. We use it as much as we can to improve products and services.

Gary: What people forget is that machine learning is not a generic tool that you can use for everything. There are better ways to do certain things. For the https boost (which does exist), we are looking literally at the first few characters in the URL. That’s how we identify if something should be https. It would be batshit stupid to use machine learning for that. We still have algos that are written by humans and the different statements in the algo – you can follow them yourself and not let the machine make predictions. We are investing a lot in machine learning and you can expect it will be used more and more in every aspect of our lives.

Gary: First, let me say that most people are overly concerned with links for no reason. If you have important links – you are linking to whitehouse.gov – then you probably want to do the same thing on mobile, as well. All of the thngs we care about or the things a user on your site would care about, too.

Eric: The whole mobile-frst index is a shift of how you think about your website. Think of your mobile site as the canononcial version of your site.

Gary: Links are not even the biggest problem. The bigger problem is content parity. He doesn’t think that some people realize that if you don’t have your important content on your mobile site, then you are not going to rank for that content.

Nathan: It’s there. If you feel like you need to use it, then you can. That’s all he has to say about the disavow tool.

Eric: When we first put this thing out there it was because people were trying to find a way to file reconsiderations. When you do something bad, it was really hard to get back to the regular state. It’s unfortunate to see people panicking over things. Use it carefully and use it will good judgement.

Eric: It’s about the quality of the site. We have quality thresholds for the page. If it’s a good quality page, we’ll likely show a snippet. If it’s not, we won’t.

Nathan: Structured data is awesome. If you haven’t implemented it yet, and theres’s a use case for your site, you should.

Gary: No.

Nathan: To put every single link that we crawled into Search Console requires resources we don’t have. If you’re spending all this time looking at links, maybe you should reconsider what you’re doing.

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News - AP-National
How Facebook likes could profile voters for manipulation.
Thursday, June 28th 2018, 7:35 am EDT
Thursday, June 28th 2018, 7:44 am EDT
(AP Photo/Thibault Camus, File). File - This Jan. 17, 2017, file photo shows a Facebook logo being displayed in a start-up companies gathering at Paris' Station F, in Paris. A former employee of a Trump-affiliated data-mining firm says it used algorith...
By BARBARA ORTUTAY and ANICK JESDANUN
AP Technology Writers

NEW YORK (AP) - Facebook "likes" can tell a lot about a person. Maybe even enough to fuel a voter-manipulation effort like the one a Trump-affiliated data-mining firm stands accused of - and which Facebook may have enabled.

The social network is under fire after The New York Times and The Guardian newspaper reported that former Trump campaign consultant Cambridge Analytica used data, including user likes, inappropriately obtained from roughly 50 million Facebook users to try to influence elections.

Monday was a wild roller coaster ride for Facebook, whose shares plunged 7 percent in its worst one-day decline since 2014. Officials in the EU and the U.S. sought answers, while Britain's information commissioner said she will seek a warrant to access Cambridge Analytica's servers because the British firm had been "uncooperative" in her investigation. The first casualty of that investigation was an audit of Cambridge that Facebook had announced earlier in the day; the company said it "stood down" that effort at the request of British officials.

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Adding to the turmoil, the New York Times reported that Facebook security chief Alex Stamos will step down by August following clashes over how aggressively Facebook should address its role in spreading disinformation. In a tweet , Stamos said he's still fully engaged at Facebook but that his role has changed.

It would have been quieter had Facebook likes not turned out to be so revealing. Researchers in a 2013 study found that likes on hobbies, interests and other attributes can predict personal attributes such as sexual orientation and political affiliation. Computers analyze such data to look for patterns that might not be obvious, such as a link between a preference for curly fries and higher intelligence.

Chris Wylie, a Cambridge co-founder who left in 2014, said the firm used such techniques to learn about individuals and create an information cocoon to change their perceptions. In doing so, he said, the firm "took fake news to the next level."

"This is based on an idea called 'informational dominance,' which is the idea that if you can capture every channel of information around a person and then inject content around them, you can change their perception of what's actually happening," Wylie said Monday on NBC's "Today." It's not yet clear exactly how the firm might have attempted to do that.

Late Friday, Facebook said Cambridge improperly obtained information from 270,000 people who downloaded an app described as a personality test. Those people agreed to share data with the app for research - not for political targeting. And the data included who their Facebook friends were and what they liked - even though those friends hadn't downloaded the app or given explicit consent.

Cambridge got limited information on the friends, but machines can use detailed answers from smaller groups to make good inferences on the rest, said Kenneth Sanford of the data science company Dataiku.

Cambridge was backed by the conservative billionaire Richard Mercer, and at one point employed Stephen Bannon - later President Donald Trump's campaign chairman and White House adviser - as a vice president. The Trump campaign paid Cambridge roughly $6 million according to federal election records, although officials have more recently played down that work.

The type of data mining reportedly used by Cambridge Analytica is fairly common, but is typically used to sell diapers and other products. Netflix, for instance, provides individualized recommendations based on how a person's viewing behaviors fit with what other customers watch.

But that common technique can take on an ominous cast if it's connected to possible elections meddling, said Robert Ricci, a marketing director at Blue Fountain Media.

Wylie said Cambridge Analytica aimed to "explore mental vulnerabilities of people." He said the firm "works on creating a web of disinformation online so people start going down the rabbit hole of clicking on blogs, websites etc. that make them think things are happening that may not be."

Wylie told "Today" that while political ads are also targeted at specific voters, the Cambridge effort aimed to make sure people wouldn't know they were getting messages aimed at influencing their views.

The Trump campaign has denied using Cambridge's data. The firm itself denies wrongdoing, and says it didn't retain any of the data pulled from Facebook and didn't use it in its 2016 campaign work.

Yet Cambridge boasted of its work after another client, Texas Republican Sen. Ted Cruz, won the Iowa caucus in 2016.

Cambridge helped differentiate Cruz from similarly minded Republican rivals by identifying automated red light cameras as an issue of importance to residents upset with government intrusion. Potential voters living near the red light cameras were sent direct messages saying Cruz was against their use.

Even on mainstay issues such as gun rights, Cambridge CEO Alexander Nix said at the time, the firm used personality types to tailor its messages. For voters who care about tradition, it could push the importance of making sure grandfathers can offer family shooting lessons. For someone identified as introverted, a pitch might have described keeping guns for protection against crime.

It's possible that Cambridge tapped other data sources, including what Cruz's campaign app collected. Nix said during the Cruz campaign that it had five or six sources of data on each voter.

Facebook declined to provide officials for interview and didn't immediately respond to requests for information beyond its statements Friday and Monday. Cambridge also didn't immediately respond to emailed questions.

Facebook makes it easy for advertisers to target users based on nuanced information about them. Facebook's mapping of the "social graph" - essentially the web of people's real-life connections - is also invaluable for marketers.

For example, researchers can look at people's clusters of friends and get good insight as to who is important and influential, said Jonathan Albright, research director at the Tow Center for Digital Journalism at Columbia University. People who bridge different friend networks, for example, can have more influence when they post something, making them prime for targeting.

Two-thirds of Americans get at least some of their news on social media, according on Pew Research Center. While people don't exist in a Facebook-only vacuum, it is possible that bogus information users saw on the site could later be reinforced by the "rabbit hole" of clicks and conspiracy sites on the broader internet, as Wylie described.

An earlier version of this story incorrectly stated the sum paid by the 2016 Trump campaign to Cambridge Analytica. It was $5.9 million according to federal election records.

AP technology reporter Ryan Nakashima contributed to this report from Menlo Park, California.

Copyright 2018 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed.

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