DOCSLIB.ORG

Présentation Powerpoint

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text

Load more

Follow us on Twitter @CompetitionLaws and join the conversation using #GlobalAntitrustEconomics Follow us on Twitter @CompetitionLaws and join the conversation using #GlobalAntitrustEconomics 08.45 WELCOME REMARKS Luis CABRAL I Chair, Department of Economics, NYU Stern School of Business, New York Lawrence WHITE I Professor, Department of Economics, NYU Stern School of Business, New York Follow us on Twitter @CompetitionLaws and join the conversation using #GlobalAntitrustEconomics 09.00 OPENING KEYNOTE SPEECH Noah Joshua PHILLIPS I Commissioner, US Federal Trade Commission, Washington, DC Follow us on Twitter @CompetitionLaws and join the conversation using #GlobalAntitrustEconomics 09.30 ANTITRUST IN SPORTS Roger NOLL I Professor of Economics, Emeritus, Stanford University, Stanford Andrew ZIMBALIST I Professor of Economics, Smith College, Northampton Brad HUMPHREYS I Professor of Economics, West Virginia University, Morgantown Rodney FORT I Professor of Sport Management, University of Michigan, Ann Arbor Michael HAUSFELD I Partner, Hausfeld, Washington, DC James KEYTE I Director, Competition Law Institute, Fordham Law School, New York Moderator: Lawrence WHITE | Professor, Department of Economics, NYU Stern School of Business, New York 10.45 Coffee Break Follow us on Twitter @CompetitionLaws and join the conversation using #GlobalAntitrustEconomics 11.00 TELECOM MERGERS Gail LEVINE I Deputy Director, Bureau of Competition, US Federal Trade Commission, Washington, DC Tim BRENNAN I Professor of Public Policy & Economics, University of Maryland, Baltimore Gregory ROSSTON I Senior Fellow, Stanford Institute for Economic Policy Research, Stanford Dennis CARLTON I Professor of Economics, University of Chicago Booth School of Business, Chicago John HARKRIDER I Partner, Axinn, New York Cristina CAFFARRA I Vice President, Head of European Competition, CRA, London/Brussels Moderator: Katja SEIM I Associate Professor of Business Economics and Public Policy, The Wharton School, University of Pennsylvania, Philadelphia 12.15 Lunch Follow us on Twitter @CompetitionLaws and join BT/ EE (2015) the conversation using #GlobalAntitrustEconomics TeliaSonera/ Telenor TeliaSonera/ O2/Three (2014) (2015X) Tele2 (2014) T-Mobile-Tele2 Vodafone/ O2/Three (2015) (2018) KDG (2013) e-plus/ O2 Ziggo/LGI (2014) (2014) Mobile and mobile Vodafone/Ziggo (2016) Cable and cable Hybrid mobile and cable/fixed Telenet/ Base (2015) Network and content LGI/De Vijver (2014, 2019) Vodafone/LGI (2019) LGI/KBW (2013) Numericable/ SFR (2014) Orange//H3G (2012) Sunrise/UPC (2019) Bouygues/ Orange Three/ Wind (2016) (2016, abandoned) Cabovisao / PTT (2015) Orange/Jazztel (2014) Altice/Media Vodafone/ Wind Hellas Capital (2017) TIM/Vivendi/Mediaset (2012 – abandoned) (2017) Optimus/ ZON Vodafone/Ono (2014) (2013) Cellcom/Golan (2016) Follow us on Twitter @CompetitionLaws and join the conversation using #GlobalAntitrustEconomics 01.45 PRICING ISSUES IN PHARMA: PAY-FOR-DELAY, PRODUCT HOPPING... Paul CSISZÁR I Director, European Commission - DG COMP, Brussels David GILO I Professor of Law, Tel Aviv University, Tel Aviv George ROZANSKI I Partner, Bates White, Washington, DC Ingrid VANDENBORRE I Partner, Skadden Arps, Brussels Jack PACE I Partner, White & Case, New York Moderator: Robert WILLIG I Professor of Economics and Public Affairs, Emeritus, Woodrow Wilson School of Public and International Affairs, Princeton University 03.00 Coffee Break Follow us on Twitter @CompetitionLaws and join the conversation using #GlobalAntitrustEconomics 03.15 IN-HOUSE COUNSEL SESSION: PLATFORMS Samantha KNOX I Associate General Counsel, Facebook, San Francisco Martin D’HALLUIN I VP, Associate General Counsel, News Corp, New York David HIGBEE I Partner, Shearman & Sterling, Washington, DC Boris BERSHTEYN I Partner, Skadden Arps, New York Moderator: Harry FIRST I Professor, NYU School of Law, New York Follow us on Twitter @CompetitionLaws and join the conversation using #GlobalAntitrustEconomics 04.30 CLOSING KEYNOTE SPEECH Hal VARIAN I Chief Economist, Google, San Francisco 05.00 Drinks The Seven Deadly Sins of Tech? Hal Varian NYU May 2019 The views in this presentation are those of the author and do not represent the views of his employer or any other party. alleged! The /Seven Deadly Sins of Tech? Hal Varian NYU May 2019 The views in this presentation are those of the author and do not represent the views of his employer or any other party. The alleged seven deadly sins of tech ● Concentration ● Competition ● Innovation ● Acquisitions ● Entry ● Lock-in ● Fixed costs Concentration Concentration ● Autor, et. al. (2017) describe two interpretations of concentration increase ○ “...super-star firms with higher productivity increasingly capture a larger slice of the market,” ○ “...arise from anticompetitive forces whereby dominant firms are able to prevent actual and potential rivals from entering and expanding.” ● Their conclusion: industries that became more concentrated were those in which productivity increased the most ● Related findings by Ganapati [2017], Bessen [2017], OECD, and others. Competition Where’s the competition in search? Follow the money. ● General purpose search is a tough business: you can only sell 6% of what you produce. ○ Just ask AOL, Ask Jeeves, Yahoo, Inktomi, Excite, Lycos… ○ Why? Only 6% of clicks are commercial clicks (ads) ○ Competition is intense for commercial clicks: Amazon, eBay, Yelp, Travelocity, Expedia, Orbitz, Trip Advisor, and thousands of comparison and review sites ● By contrast no one cares about non-commercial search from an antitrust perspective: book search, scholar search, patent search, encyclopedia search, etc. Why is competition intense for commercial clicks? ● Companies want users to go directly to them, so they try to build a strong brand, good reputation. For example, now 54% of shopping journeys in the US start on Amazon. ● Companies advertise heavily now so they don’t have to advertise so much in the future. ○ The widespread use of apps (Amazon, Yelp, Maps) reinforce this trend. Yelp gets 35M visitors via its mobile app. ○ This competition for commercial clicks is great for users. ● If Google provides great answers for [ancient history], people will use Google to provide great answers to [sushi near me]. Competition Tech firms compete intensely against each other. That’s why prices are low, and innovation is high. Innovation Innovation Tech companies are leading spenders on R&D. Source: Bloomberg Innovation Tech companies are leading spenders on R&D. Even more if you group GAFA + Tech Source: Bloomberg Acquisitions Acquisitions by Google ● Median number of hires per acquisition: 6 ● 25% had 3 or fewer employees ● 75% had 18 or fewer employees ● These were primarily acqui- hires. There are 5 times as many exits via acquisitions than IPOs Silicon Valley Bank Entry Kill zone: where is it? ● Kill zone: “areas not worth operating or investing in, since defeat is guaranteed.” ● Google, Apple, Amazon, Microsoft, Facebook, China, Europe, and many others have all announced major AI initiatives. ● Surely no startup would want to enter this “kill zone” Kill zone: where is it? ● Kill zone: “areas not worth operating or investing in, since defeat is guaranteed.” ● Google, Apple, Amazon, Microsoft, Facebook, China, Europe, and many others have all announced major AI initiatives. ● Surely no startup would want to enter this “kill zone” ● Or would they? Source: AIindex.org 2018 Entry: VC finance of US startups Source: Sand Hill Econometrics and VentureSource Entry: VC finance of European startups Source: Sand Hill Econometrics and VentureSource Lock-in Switching costs and data portability ● Google Takeout: June 2011 ○ Download your data to desktop, Gdrive, OneDrive, Dropbox ● Data Transfer Project 2018 ○ Transfer your data between Google, Facebook, Microsoft Twitter… and others! ● Research ○ OpenImage (9.5M), YouTube Video (8M), and many others Fixed costs Fixed costs 1999: data centers centers, hardware, software, networking. Much of the software was proprietary, internal to the data center operator, and needed to be re-developed for everyone who used the datacenter. Example: Map/Reduce, Hadoop, BigTable, BigQuery, etc. 2019: Tools are open sourced, standardized and available at data centers built by Google, Amazon, Microsoft, IBM, etc. Everyone has access to technology that only the richest companies could afford a decade ago. Image recognition, communications, coordination, etc. In fact, now anybody can offer a new search engine. DuckDuckGo and Qwant ● DuckDuckGo uses 400 sources, and syndicates search results from Bing and Yahoo. It gets 45 million searches per month and has been profitable since 2014 ● Qwant does essentially the same thing, with 50 million unique queries per month, and is now the official search engine for the French government. ● Tech entrants no longer have fixed costs on the supply side. ● Fixed costs: that’s so 1990s, grandpa! ● But there is still a cost in attracting users: “Marketing fixed costs, though frequently overlooked, are often the more important of the two.” (Spence 1976.) ● Have to have a differentiator which in this case is privacy focus. How to start up a startup ● Fund your project on Kickstarter ● Set up a Kaggle competition ● Hire employees using LinkedIn ● Use Nolo for legal documents (company, patents, NDAs) ● Office space from WeWork ● Use QuickBooks for accounting. ● Cloud cloud computing and ● Use AdWords, Bing, Facebook for network from Google, Amazon, marketing Microsoft ● Use open source software
Recommended publications
  • Eliciting Informative Feedback: the Peer$Prediction Method

    Eliciting Informative Feedback: the Peer$Prediction Method

    Eliciting Informative Feedback: The Peer-Prediction Method Nolan Miller, Paul Resnick, and Richard Zeckhauser January 26, 2005y Abstract Many recommendation and decision processes depend on eliciting evaluations of opportu- nities, products, and vendors. A scoring system is devised that induces honest reporting of feedback. Each rater merely reports a signal, and the system applies proper scoring rules to the implied posterior beliefs about another rater’s report. Honest reporting proves to be a Nash Equilibrium. The scoring schemes can be scaled to induce appropriate e¤ort by raters and can be extended to handle sequential interaction and continuous signals. We also address a number of practical implementation issues that arise in settings such as academic reviewing and on-line recommender and reputation systems. 1 Introduction Decision makers frequently draw on the experiences of multiple other individuals when making decisions. The process of eliciting others’information is sometimes informal, as when an executive consults underlings about a new business opportunity. In other contexts, the process is institution- alized, as when journal editors secure independent reviews of papers, or an admissions committee has multiple faculty readers for each …le. The internet has greatly enhanced the role of institu- tionalized feedback methods, since it can gather and disseminate information from vast numbers of individuals at minimal cost. To name just a few examples, eBay invites buyers and sellers to rate Miller and Zeckhauser, Kennedy School of Government, Harvard University; Resnick, School of Information, University of Michigan. yWe thank Alberto Abadie, Chris Avery, Miriam Avins, Chris Dellarocas, Je¤ Ely, John Pratt, Bill Sandholm, Lones Smith, Ennio Stachetti, Steve Tadelis, Hal Varian, two referees and two editors for helpful comments.
  • Evaluating Exploratory Search Engines : Designing a Set of User-Centered Methods Based on a Modeling of the Exploratory Search Process Emilie Palagi

    Evaluating Exploratory Search Engines : Designing a Set of User-Centered Methods Based on a Modeling of the Exploratory Search Process Emilie Palagi

    Evaluating exploratory search engines : designing a set of user-centered methods based on a modeling of the exploratory search process Emilie Palagi To cite this version: Emilie Palagi. Evaluating exploratory search engines : designing a set of user-centered methods based on a modeling of the exploratory search process. Human-Computer Interaction [cs.HC]. Université Côte d’Azur, 2018. English. NNT : 2018AZUR4116. tel-01976017v3 HAL Id: tel-01976017 https://tel.archives-ouvertes.fr/tel-01976017v3 Submitted on 20 Feb 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. THÈSE DE DOCTORAT Evaluation des moteurs de recherche exploratoire : Elaboration d'un corps de méthodes centrées utilisateurs, basées sur une modélisation du processus de recherche exploratoire Emilie PALAGI Wimmics (Inria, I3S) et Data Science (EURECOM) Présentée en vue de l’obtention Devant le jury, composé de : du grade de docteur en Informatique Christian Bastien, Professeur, Université de Loraine d’Université Côte d’Azur Pierre De Loor, Professeur, ENIB Dirigée par : Fabien Gandon
  • Electronic Evidence Examiner

    Electronic Evidence Examiner

    2 Table of Contents About Electronic Evidence Examiner How To .......................................................................12 How to Work with Cases .........................................................................................................13 How to Create New Case .......................................................................................................13 How to Enable Automatic Case Naming .................................................................................14 How to Define Case Name During Automatic Case Creation .................................................14 How to Open Existing Case....................................................................................................15 How to Save Case to Archive .................................................................................................16 How to Change Default Case Location ...................................................................................16 How to Add Data to Case ........................................................................................................17 How to Add Evidence .............................................................................................................18 How to Acquire Devices .........................................................................................................20 How to Import Mobile Data .....................................................................................................21 How to Import Cloud Data ......................................................................................................22
  • Annual Report 2018

    Annual Report 2018

    2018Annual Report Annual Report July 1, 2017–June 30, 2018 Council on Foreign Relations 58 East 68th Street, New York, NY 10065 tel 212.434.9400 1777 F Street, NW, Washington, DC 20006 tel 202.509.8400 www.cfr.org [email protected] OFFICERS DIRECTORS David M. Rubenstein Term Expiring 2019 Term Expiring 2022 Chairman David G. Bradley Sylvia Mathews Burwell Blair Effron Blair Effron Ash Carter Vice Chairman Susan Hockfield James P. Gorman Jami Miscik Donna J. Hrinak Laurene Powell Jobs Vice Chairman James G. Stavridis David M. Rubenstein Richard N. Haass Vin Weber Margaret G. Warner President Daniel H. Yergin Fareed Zakaria Keith Olson Term Expiring 2020 Term Expiring 2023 Executive Vice President, John P. Abizaid Kenneth I. Chenault Chief Financial Officer, and Treasurer Mary McInnis Boies Laurence D. Fink James M. Lindsay Timothy F. Geithner Stephen C. Freidheim Senior Vice President, Director of Studies, Stephen J. Hadley Margaret (Peggy) Hamburg and Maurice R. Greenberg Chair James Manyika Charles Phillips Jami Miscik Cecilia Elena Rouse Nancy D. Bodurtha Richard L. Plepler Frances Fragos Townsend Vice President, Meetings and Membership Term Expiring 2021 Irina A. Faskianos Vice President, National Program Tony Coles Richard N. Haass, ex officio and Outreach David M. Cote Steven A. Denning Suzanne E. Helm William H. McRaven Vice President, Philanthropy and Janet A. Napolitano Corporate Relations Eduardo J. Padrón Jan Mowder Hughes John Paulson Vice President, Human Resources and Administration Caroline Netchvolodoff OFFICERS AND DIRECTORS, Vice President, Education EMERITUS & HONORARY Shannon K. O’Neil Madeleine K. Albright Maurice R. Greenberg Vice President and Deputy Director of Studies Director Emerita Honorary Vice Chairman Lisa Shields Martin S.
  • The Information Revolution Reaches Pharmaceuticals: Balancing Innovation Incentives, Cost, and Access in the Post-Genomics Era

    The Information Revolution Reaches Pharmaceuticals: Balancing Innovation Incentives, Cost, and Access in the Post-Genomics Era

    RAI.DOC 4/13/2001 3:27 PM THE INFORMATION REVOLUTION REACHES PHARMACEUTICALS: BALANCING INNOVATION INCENTIVES, COST, AND ACCESS IN THE POST-GENOMICS ERA Arti K. Rai* Recent development in genomics—the science that lies at the in- tersection of information technology and biotechnology—have ush- ered in a new era of pharmaceutical innovation. Professor Rai ad- vances a theory of pharmaceutical development and allocation that takes account of these recent developments from the perspective of both patent law and health law—that is, from both the production side and the consumption side. She argues that genomics has the po- tential to make reforms that increase access to prescription drugs not only more necessary as a matter of equity but also more feasible as a matter of innovation policy. On the production end, so long as patent rights in upstream genomics research do not create transaction cost bottlenecks, genomics should, in the not-too-distant future, yield some reduction in drug research and development costs. If these cost re- ductions are realized, it may be possible to scale back certain features of the pharmaceutical patent regime that cause patent protection for pharmaceuticals to be significantly stronger than patent protection for other innovation. On the consumption side, genomics should make drug therapy even more important in treating illness. This reality, coupled with empirical data revealing that cost and access problems are particularly severe for those individuals who are not able to secure favorable price discrimination through insurance, militates in favor of government subsidies for such insurance. As contrasted with patent buyouts, the approach favored by many patent scholars, subsidies * Associate Professor of Law, University of San Diego Law School; Visiting Associate Profes- sor, Washington University, St.
  • Ei-Report-2013.Pdf

    Ei-Report-2013.Pdf

    Economic Impact United States 2013 Stavroulla Kokkinis, Athina Kohilas, Stella Koukides, Andrea Ploutis, Co-owners The Lucky Knot Alexandria,1 Virginia The web is working for American businesses. And Google is helping. Google’s mission is to organize the world’s information and make it universally accessible and useful. Making it easy for businesses to find potential customers and for those customers to find what they’re looking for is an important part of that mission. Our tools help to connect business owners and customers, whether they’re around the corner or across the world from each other. Through our search and advertising programs, businesses find customers, publishers earn money from their online content and non-profits get donations and volunteers. These tools are how we make money, and they’re how millions of businesses do, too. This report details Google’s economic impact in the U.S., including state-by-state numbers of advertisers, publishers, and non-profits who use Google every day. It also includes stories of the real business owners behind those numbers. They are examples of businesses across the country that are using the web, and Google, to succeed online. Google was a small business when our mission was created. We are proud to share the tools that led to our success with other businesses that want to grow and thrive in this digital age. Sincerely, Jim Lecinski Vice President, Customer Solutions 2 Economic Impact | United States 2013 Nationwide Report Randy Gayner, Founder & Owner Glacier Guides West Glacier, Montana The web is working for American The Internet is where business is done businesses.
  • The Next Frontier for Innovation, Competition, and Productivity

    The Next Frontier for Innovation, Competition, and Productivity

    McKinsey Global Institute June 2011 Big data: The next frontier for innovation, competition, and productivity The McKinsey Global Institute The McKinsey Global Institute (MGI), established in 1990, is McKinsey & Company’s business and economics research arm. MGI’s mission is to help leaders in the commercial, public, and social sectors develop a deeper understanding of the evolution of the global economy and to provide a fact base that contributes to decision making on critical management and policy issues. MGI research combines two disciplines: economics and management. Economists often have limited access to the practical problems facing senior managers, while senior managers often lack the time and incentive to look beyond their own industry to the larger issues of the global economy. By integrating these perspectives, MGI is able to gain insights into the microeconomic underpinnings of the long-term macroeconomic trends affecting business strategy and policy making. For nearly two decades, MGI has utilized this “micro-to-macro” approach in research covering more than 20 countries and 30 industry sectors. MGI’s current research agenda focuses on three broad areas: productivity, competitiveness, and growth; the evolution of global financial markets; and the economic impact of technology. Recent research has examined a program of reform to bolster growth and renewal in Europe and the United States through accelerated productivity growth; Africa’s economic potential; debt and deleveraging and the end of cheap capital; the impact of multinational companies on the US economy; technology-enabled business trends; urbanization in India and China; and the competitiveness of sectors and industrial policy. MGI is led by three McKinsey & Company directors: Richard Dobbs, James Manyika, and Charles Roxburgh.
  • Big Data: New Tricks for Econometrics†

    Big Data: New Tricks for Econometrics†

    Journal of Economic Perspectives—Volume 28, Number 2—Spring 2014—Pages 3–28 Big Data: New Tricks for Econometrics† Hal R. Varian oomputersmputers aarere nnowow iinvolvednvolved iinn mmanyany eeconomicconomic ttransactionsransactions aandnd ccanan ccaptureapture ddataata aassociatedssociated wwithith tthesehese ttransactions,ransactions, whichwhich ccanan thenthen bbee manipulatedmanipulated C aandnd aanalyzed.nalyzed. CConventionalonventional sstatisticaltatistical aandnd econometriceconometric techniquestechniques suchsuch aass rregressionegression ooftenften wworkork well,well, bbutut ttherehere aarere iissuesssues uuniquenique ttoo bbigig datasetsdatasets thatthat maymay rrequireequire ddifferentifferent ttools.ools. FFirst,irst, tthehe ssheerheer ssizeize ooff tthehe ddataata iinvolvednvolved mmayay rrequireequire mmoreore ppowerfulowerful ddataata mmanipulationanipulation ttools.ools. SSecond,econd, wewe maymay hhaveave mmoreore ppotentialotential ppredictorsredictors tthanhan aappro-ppro- ppriateriate fforor eestimation,stimation, ssoo wwee needneed toto dodo somesome kindkind ofof variablevariable selection.selection. Third,Third, llargearge ddatasetsatasets mmayay aallowllow fforor mmoreore fl eexiblexible relationshipsrelationships tthanhan simplesimple linearlinear models.models. MMachineachine llearningearning ttechniquesechniques ssuchuch aass ddecisionecision ttrees,rees, ssupportupport vvectorector machines,machines, nneuraleural nnets,ets, ddeepeep llearning,earning, aandnd soso onon maymay allowallow forfor moremore effectiveeffective
  • Google Search Bar & Search Term History

    Google Search Bar & Search Term History

    DFIR Review Google Search Bar & Search Term History - Are You Finding Everything? Joshua Hickman Published on: May 26, 2020 License: Creative Commons Attribution 4.0 International License (CC-BY 4.0) DFIR Review Google Search Bar & Search Term History - Are You Finding Everything? Synopsis Forensic question: What information can be located regarding searches conducted in the Google search bar? OS Version: Nougat (8.55.6.21) Oreo (8.91.5.21) Tools: WinHex, Version 19.7 (Specialist License) Cellebrite UFED 4PC, Version 7.10.1.1080 (Nougat) Cellebrite UFED 4PC, Version 7.12.1.100 (Oreo) DCode Version 4.02a Google Protocol Buffers, Version 3.7.1 DB Browser for SQLite, Version 3.10.1 Cellebrite Physical Analyzer, Version 7.15.1.1 Cellebrite Physical Analyzer, Version 7.16.0.93 Internet Evidence Finder, Version 6.23.1.15677 2 DFIR Review Google Search Bar & Search Term History - Are You Finding Everything? Introduction Search history. It is an excellent way to peer into someone’s mind and see what they are thinking at a particular moment in time. In a court room, search history can be used to show intent (mens rea). There are plenty of examples where search history has been used in court to establish a defendant’s intent. Probably the most gruesome was the New York City Cannibal Cop trial, where prosecutors used the accused’s search history against him. Of course, there is a fine line between intent and protected speech under the First Amendment. Over the past month and a half I have published a couple of blog posts dealing with Google Assistant and some of the artifacts it leaves behind, which you can find here and here.
  • Final Study Report on CEF Automated Translation Value Proposition in the Context of the European LT Market/Ecosystem

    Final Study Report on CEF Automated Translation Value Proposition in the Context of the European LT Market/Ecosystem

    Final study report on CEF Automated Translation value proposition in the context of the European LT market/ecosystem FINAL REPORT A study prepared for the European Commission DG Communications Networks, Content & Technology by: Digital Single Market CEF AT value proposition in the context of the European LT market/ecosystem Final Study Report This study was carried out for the European Commission by Luc MEERTENS 2 Khalid CHOUKRI Stefania AGUZZI Andrejs VASILJEVS Internal identification Contract number: 2017/S 108-216374 SMART number: 2016/0103 DISCLAIMER By the European Commission, Directorate-General of Communications Networks, Content & Technology. The information and views set out in this publication are those of the author(s) and do not necessarily reflect the official opinion of the Commission. The Commission does not guarantee the accuracy of the data included in this study. Neither the Commission nor any person acting on the Commission’s behalf may be held responsible for the use which may be made of the information contained therein. ISBN 978-92-76-00783-8 doi: 10.2759/142151 © European Union, 2019. All rights reserved. Certain parts are licensed under conditions to the EU. Reproduction is authorised provided the source is acknowledged. 2 CEF AT value proposition in the context of the European LT market/ecosystem Final Study Report CONTENTS Table of figures ................................................................................................................................................ 7 List of tables ..................................................................................................................................................
  • Spring 2020 CWRU Economics Dept Newsletter

    Spring 2020 CWRU Economics Dept Newsletter

    Spring 2020 CWRU Economics Dept Newsletter Hal Varian gives 2019 McMyler Memorial Lecture September 24, 2019: Hal Varian, Chief Economist at Google, visited campus to deliver the annual Howard T. McMyler Memorial Lecture. Varian talked about the future of work, focusing on how shifting demographics and declining popula- tion growth will continue to create a tight labor market even in the face of increased automation. He also met with a small group of economics majors before his presentation, where he answered their questions and offered advice. Pictured are economics majors at the meeting: back row: Aayush Parikh ('20), Hersh Bhatt ('20), Kareem Agag ('20), (Hal Vari- an), James Jung ('22), and Marcus Daly ('20); front row: Alec Hoover ('20), Alexandra Stevens ('20), Claire Jeffress ('22), Lee Radics ('20), Jon Powell ('21), Earl Hsieh ('21), and Peter Durand ('20). Women in Economics club approved Professor Roman Sheremeta gave two TED talks in Women in Economics (WE) aims to empower women by hosting 2019: one in Ukraine at events that foster connections within and beyond CWRU, as well TEDxIvano-Frankivsk over the summer, and one as assist women in professional development to increase their on campus at TEDxCWRU in November. His representation in the economics community. Students from any TEDxCWRU talk, “The Pursuit of Happiness: major or gender may join and/or attend events. Advice from a Behavioral Economist,” is now Their first event will be March 24, 4:00 p.m. in PBL 203: a available on the TEDx Talks YouTube channel. general introduction and social event for anyone interested in participating in the club.
  • Ransomware and G Suite Business: What You Need to Know

    Ransomware and G Suite Business: What You Need to Know

    EBOOK Pull text goes here and bold some of the copy Ransomware and G Suite Business: What You Need to Know 1 | backupify.com Pull text goes here Theand boldRansomware some Problem of the copy Small to enterprise sized businesses face an enormous computer security challenge. They have hundreds -- or thousands -- of accounts to manage. In most cases, not every account holder will ! have the training or knowledge to take the proper measures to keep the organization’s data secure. With multiple accounts, there’s a pretty good chance that someone will encounter malware. It just takes an accidental click or two to download and install. Ransomware encrypts your files then demands payment. The ransom notification promises that if you pay, you’ll receive an unlock code to decrypt your files. Of course, you have to pay in a hard-to- trace cryptocurrency. If you don’t pay, some variants delete your files -- a few at first, then more over time. Don’t think a reboot will help: that just spurs the software to delete your data. And even if you pay, you might not get your data back. You have absolutely no reason to trust the thieves behind the ransomware. Once they have your money, why would they bother to give you an unlock code that works? And why would you expect ransomware distributors to create bug-free code? There’s a decent chance they’re effective criminals, but lousy coders. Cloud apps and storage, such as G Suite and Google Drive, offer some protection from ransomware. New files you create online will be safe.