California Vol.8 (Los Angeles and Bay Area)


——


California Vol.7 (Corporations)


https://twitter.com/Nasdaq/status/1023959979001368582


California Vol.6


California Vol.3


Hawaii Vol.2


https://twitter.com/uhmanoa/status/1031267561407750145


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Missouri Vol.4 (Kansas City)

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Missouri Vol.2


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Colorado Vol.5

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New York Vol.4

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New York Vol.2


UK Vol.119 (England Vol.12 – East of England Vol.5)

East of England Science and Innovation Audit | @YourLEP
Cambridge named best UK city to work in but London does not make the list, Glassdoor says (12/07/2016) | Zlata Rodionova @Independent
@SmarterCam
@CamSciencePark
@CamCUSPE
@CambridgeCDBB
@CSciPol
@cambridgenlp
@CSIC_IKC
@CUTEC
@IfMCambridge
@MSFTResearchCam
@StJohnsCentre
@cambwireless
@CambConsultants
@CamServAlliance
@CRASSHlive
@CamB2B
@UCamEnterprise
@CJBS_EC
@CBG_Connect
@CambNetwork
@CambridgeIntel
@CambAhead
@CamWhatsOn
@CambsEdition
@CambridgeBID
@foodpark_Cam
@VisitCambs
@CambridgeCornEx
@businessweekly
@ideaSpace
@CDP_innovation
@egtechnology
@ttp_plc
@cambridgedesign
@Sagentia
@42Technology
Cambridge Dynamics
Cambridge Nanosystems
Cambridge Display Technology, Ltd. | SUMITOMO CHEMICAL Group Companies of Europe
Science Services | @BabrahamInst
Stories | @Co_Biologists
Intelligent technologies | @KymabLtd
@AstraZeneca in Cambridge
Is Cambridge the new centre of the UK pharma industry? (08/09/2015) | Peter Hogg @ProClinical
Cambridgeshire’s top 100 companies revealed – and profits, turnover and wages are on the rise (16/11/2017) | Paul Brackley @CambridgeIndy
The 15 Hottest Tech Companies In Cambridge (01/27/2015) | James Cook @businessinsider
Smaller companies | @CambridgeJBS
Top 50 Cleantech Growth Companies announced at Cambridge Cleantech Conference (14/06/2016) | Cambridge Cleantech


UK Vol.118 (England Vol.11 – East of England Vol.4)

University of Cambridge
@christs_college
@ChurchillCol
@ClareCollege
@clarehall_cam
@CorpusCambridge
@DarwinCollege
@downingcollege
@EmmaCambridge
@FitzwilliamColl
@GirtonCollege
@CaiusCollege
@HomertonCollege
@Hughes_Hall
@JesusCollegeCam
@Kings_College
@LucyCavColl
@magdalenealumni
@MECCambridge
@Newnham_College
@pembroke1347
@Peterhouse_Cam
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@RobCollConf
@Selwyn1882
@SidneySussex
@Catz_Cambridge
@StEdmundsCam
@stjohnscam
@TrinCollCam
@TrinityHallCamb
@WolfsonCam


UK Vol.115 (England Vol.8 – East of England Vol.1)

England regions

East of England
EastOfEngland regionEastOfEngland
@BBCLookEast
LOCAL AUTHORITIES IN THE EAST OF ENGLAND (PDF; 01/04/2018) | UK Department of Defence
WHY UNIVERSITIES MATTER FOR THE EAST OF ENGLAND (PDF) | @UniversitiesUK
Commercialising Innovation: A Briefing Paper on historic trends and policy context (PDF) | @LGAcomms

Norfolk
EastOfEngland Norfolk


@NorfolkCC
@norfolkchamber
Norfolk Economic Intelligence Report (PDF; 2016) | Norfolk County Council
Norfolk’s Story (PDF; October 2017) | Norfolk Insight (Norfolk County Council)
Norfolk | Encyclopaedia Britannica
North Norfolk District Council
North Norfolk centre for small and start-up businesses gets a step closer | @Nwes_Group
The Impact of Brexit on North Norfolk: A discussion note (PDF; March 2018) | Martyn Sloman
@cwa_college
South Norfolk business booming, says Experian research (19/03/2012) | David Keller @BBC
Norwich economic strategy 2013-18 (PDF) | Norwich City Council
@uniofeastanglia
Your Sustainable Community Strategy for South Norfolk: Important Issues – Local Action 2008-2018 (PDF) | South Norfolk Alliance
Tour Norfolk
@prldesign

Suffolk
EastOfEngland Suffolk


@suffolkcc
@suffolkchamber
West Suffolk business fact pack (PDF) | @InvestinSuffolk
East Suffolk Economic Growth Plan, 2018-23 (PDF; Draft-v7; January 2018)
The East’s Institute of Technology (PDF)
@UniofSuffolk
@suffolknewcoll
@EastCoast_Coll
Ambitious bid to create Institute of Technology moves a step closer to success (20/06/2018) | @WestSuffolk
Colleges in Norfolk and Suffolk launch ‘collaborative’ group | Billy Camden @FEWeek
@camnano


Science and Technology Vol.6


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https://twitter.com/EU_Commission/status/1001043213866725376


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Science and Technology Vol.4


Predictions Vol.2 (FIFA World Cup 2018)

Here are reports, articles, tables, et al. on predictions of the FIFA World Cup 2018.

Investing and football: Special edition – 2018 World Cup in Russia (PDF; May 2018) | UBS
p10: What investors can learn from successful football teams – Agility. Balance. Calm. …
p18: Table 1
UBS ran 10,000 simulations of the World Cup — and one team is the head and shoulders above the rest (06/14/2018) | BusinessInsider

The World Cup and Economics 2018 (w PDF) | Goldman Sachs
PDF
p7: Russia
p11: Belgium
p12: Brazil
p15: Croatia
p18: England
p19: France
p36: Sweden
p39: Uruguay
pp40-42: World Cup trends viewed through a (light-hearted) economic lens
Goldman Sachs Predicts The 2018 FIFA World Cup Champs Using AI | LEGAL GAMBLING – AND THE LAW –
cf.
The World Cup and Economics 2014 (PDF) | Goldman Sachs
Goldman Sachs has predicted the winner of Euro 2016 — and it isn’t England (06/06/2016) | Will Martin @BusinessInsider

Machine learning predicts World Cup winner: Researchers have predicted the outcome after simulating the entire soccer tournament 100,000 times. (06/12/2018) | MIT Technology review
Andreas Groll at the Technical University of Dortmund …

Probabilistic forecasts for the 2018 FIFA World Cup based on the bookmaker consensus model (PDF) | Achim Zeileis, Christoph Leitner, Kurt Hornik @ University of Innsbruck eeecon

Bisnode predicts the winner of the world cup 2018 will be… (PDF)

2018 World Cup Predictions | FiveThirtyEight

Download a free World Cup 2018 Excel spreadsheet for predictions & sweepstakes | Ben Green @101greatgoals

World Cup Betting Odds: Win Market | oddschecker

World Cup 2018: Brazil still best bet in outright winner odds (04/07/2018) | Tony Kelshaw @bwin

WORLD CUP 2018 PREDICTIONS | @fbpredictions


Idaho Vol.2

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Maps Of Idaho visit idaho maps and images 600 X 531 pixels - Printable Map HD


Predictions Vol.1 (“Prediction of the FIFA World Cup 2018”)

The below rough excerpt of Prediction of the FIFA World Cup 2018 – A random forest approach with an emphasis on estimated team ability parameters (PDF; 06/08/2018) | Andreas Groll, Christophe Ley, Gunther Schauberger, Hans Van Eetvelde is on our own.

p.1: …four previous FIFA World Cups 2002 – 2014: Poisson regression models, random forests and ranking methods. …
p.2: … By aggregating the winning odds from several online bookmakers and transforming those into winning probabilities, inverse tournament simulation can be used to compute team-specific abilities… With the team-specific abilities all single matches are simulated via paired comparisons and, hence, the complete tournament course is obtained. Using this approach, Zeileis, Leitner, and Hornik (2018) forecast Brazil to win the FIFA World Cup 2018 with a probability of 16.6%, followed by Germany (15.8%) and Spain (12.5%).
…(Audran, Bolliger, Kolb, Mariscal, and Pilloud, 2018): they obtain Germany as top favorite with a winning probability of 24.0%, followed by Brazil (19.8%) and Spain (16.1%). They use a statistical model based on four factors that are supposed to indicate how well a team will be doing during the tournament: the Elo rating, the teams’ performances in the qualifications preceding the World Cup, the teams’ success in previous World Cup tournaments and a home advantage. …
p.5:
Economic Factors [GDP per capita, Population],
Sportive factors [ODDSET probability, FIFA rank],
Home advantage [Host, Continent, Confederation],
Factors describing the team’s structure [(Second) maximum number of teammates, Average age, Number of Champions League (Europa League) players, Number of players abroad/Legionnaires],
Factors describing the team’s coach
p.8: 3.1 Random forests
…an aggregation of a (large) number of classification or regression trees (CARTs). …to find partitions such that the respective response values are very homogeneous within a partition but very heterogeneous between partitions. CARTs can be used both for metric response (regression trees) and for nominal/ordinal responses (classification trees). The most frequent visualization tool for CARTs is the so-called dendrogram…
p.11: 3.2 Regression
…the scores of the competing teams are treated as (conditionally) independent variables following a Poisson distribution (conditioned on certain covariates)…
p.13: 3.3 Ranking methods
…how Poisson models can be used to lead to rankings that reflect a team’s current ability… The main idea consists in assigning a strength parameter to every team and in estimating those parameters over a period of M matches via weighted maximum likelihood, where the weights are of two types: time depreciation and match importance…
… The match importance weights are directly inherited from the official FIFA ranking and can take the values 1 for a friendly game, 2.5 for a confederation or world cup qualifier, 3 for a confederation tournament…, and 4 for World Cup matches. …
p.15: 3.4 Combining methods
1. Form a training data set containing three out of four World Cups.
5. Compare predicted and real outcomes for all prediction methods.
p.16: …three different performance measures to compare the predictive power of the methods:
…the multinomial likelihood, the classification rate, the rank probability score (RPS)…

p.20: 4 Prediction of the FIFA World Cup 2018
…combination of a random forest with adequate team ability estimates from a ranking method… The abilities were estimated by the bivariate
Poisson model with a half period of 3 years. All matches of the 228 national teams played since 2010-06-13 up to 2018-06-06 are used for the estimation, what results in a total of more than 7000 matches. All further predictor variables are taken as the latest values shortly before the World Cup…
4.1 Probabilities for FIFA World Cup 2018 Winner
…according to our random forest model, Spain is the favored team with a predicted winning probability of 17.8% followed by Germany, Brazil,
France and Belgium. … While Oddset favors Germany and Brazil, the random forest model predicts a slight advantage for Spain. …
p.21: Table 8: Estimated probabilities (in %) for reaching the different stages in the FIFA World Cup 2018 for all 32 teams based on 100,000 simulation runs of the FIFA World Cup together with winning probabilities based on the ODDSET odds.
p.22: Figure 4: Winning probabilities conditional on reaching the single stages of the tournament for the five favored teams.
p.23: 4.2 Most probable tournament course
… While in Group B and Group G the model forecasts Spain followed by Portugal as well as Belgium followed by England with rather high probabilities of 38.5% and 38.1%, respectively, other groups such as Group A, Group F and Group H seem to be more volatile. …
According to the most probable tournament course, instead of the Spanish the German team would win the World Cup. However, again it becomes obvious
that with (in that case) Switzerland the German team has to face a much stronger opponent than Spain in the round-of-sixteen. Even though still being the favorite in this match, they would succeed to move on to the quarter finals only with a probability of 61%. While in the most probable course of the knock-out stage, though having tough times in all single stages, Germany would make its way into the final and defend the title…
p.24: Table 9: Most probable final group standings together with the corresponding probabilities for the FIFA World Cup 2018 based on 100,000 simulation runs.
5 Concluding remarks
random forests, Poisson regression models and ranking methods. The former two approaches incorporate covariate information of the opposing teams, while the latter method pro-
p.25: Figure 5: Most probable course of the knockout stage together with corresponding probabilities for the FIFA World Cup 2018 based on 100,000 simulation runs.
vides team ability parameters which serve as adequate estimates of the current team strengths. …by incorporating the team ability parameters from the ranking methods as an additional covariate into the random forest the predictive power becomes substantially increased, leading to the best model capable of beating the bookmakers. …
p.26: …the fact that overall Spain is slightly favored over Germany is mainly due to the fact that Germany has a comparatively high chance to drop out in the round-of-sixteen. Actually, conditioned that Germany reaches the quarter finals, it overtakes Spain…


Virginia Vol.3


Virginia Vol.2


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West Virginia Vol.2

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WestVirginia2


Tennessee Vol.2

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https://twitter.com/UTKnoxville/status/993943910232809474


Kentucky Vol.2

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Kentucky2 geo
Kentucky2'' regions


https://twitter.com/MinistryofHemp/status/916063952643039232


Wisconsin Vol.2

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Wisconsin2


https://twitter.com/lourryinmyheart/status/755534062794649600


https://twitter.com/UWStevensPoint/status/993611485430669313


https://twitter.com/uw_superior/status/988843093993709568


https://twitter.com/UWM/status/999003223955566592


South Carolina Vol.3

SouthCarolina1
SouthCarolina2


https://twitter.com/FlagshipSC/status/988447782204788736


Minnesota Vol.2

Minnesota1
Minnesota2
Natural Resources | Minnesota State Government
Economic Sectors and Employment Patterns (PDF)
Minnesota economy | North Star Policy Institute
Economy | Minnesota Public Radio News (MPRnews)
OVERVIEW | MINNESOTA COMPASS
Public Policy and Minnesota’s Economy – A Historical View (PDF) | Russell W. Fridley
DID HIGHER TAXES CREATE THE MINNESOTA MIRACLE? (04/24/2014) | Naomi Lopez Bauman, Illinois Policy Institute
Minnesota | Forbes
THE ECONOMIC CONTRIBUTIONS OF IMMIGRANTS IN MINNESOTA (PDF; September 2013) | Bruce P. Corrie & Sarah Radosevich
How Minnesota’s Economy Benefits from International Trade & Investment (PDF) | Business Roundtable
In Northern Minnesota, Two Economies Square Off: Mining vs Wilderness (10/12/2017) | REID FORGRAVE NYTimes
MINNESOTA FOREST INDUSTRIES
Tourism & Minnesota’s Economy (PDF) | Explore Minnesota
Minnesota Agriculture – THE FOUNDATION OF MINNESOTA’S ECONOMY 2007 (PDF)
Beef: Worth $5 billion to Minnesota’s economy – Most beef operations spend their money locally, too, providing investment in rural communities. (09/13/2017) | Paula Mohr
BIOPHARMACEUTICAL SECTOR IMPACT ON MINNESOTA’S ECONOMY (PDF)
MINNESOTA GOLF ECONOMY (PDF)
THE IMPACT OF MINNESOTA’S ARTISTS, CREATIVE WORKERS AND NONPROFIT ARTS AND CULTURE ORGANIZATIONS 2017
Who’s winning and losing in Minnesota’s 2016 economy? (12/03/2016) | DAVID MONTGOMERY and BRIAN EDWARDS, AP
How Central Minnesota’s Economy, Population has Boomed Over the Last Few Decades (02/08/2018) | Greta Kaul, Twin City Business
City of Minneapolis
City of St. Paul
Minnesota Chamber of Commerce news


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Switzerland Vol.3

Switzerland | OECD
Switzerland | The World Bank
Switzerland | The European Commission
2018 Index of Economic Freedom – Switzerland | The Heritage Foundation
Switzerland: Economy | global EDGE – Michigan State University
The Economic Performance of Swiss Regions – Indicators of Economic Performance, Composition of Cantonal Economies and Clusters of Traded Industries (PDF) | Philippe Gugler & Michael Keller Center for Competitiveness, University of Fribourg
Swiss economy to finally overcome weakness caused by sharp appreciation of Swiss franc – Year Ahead 2018 regional outlook: Switzerland (29/11/2017) | UBS
Switzerland – GDP and Economic Data | Global Finance
SWITZERLAND | EULER HERMES
Switzerland | Coface
Switzerland: the 2018 economic outlook (15/01/2018) | Roger Keller BNP PARIBAS
Switzerland Economy | ECONOMY WATCH
Best Countries For Business 2018 – Switzerland | Forbes
Switzerland – Detailed economic analysis, indicators and forecasts. | Moody’s Analytics, Inc.
Swiss National Bank
Free trade agreement Switzerland/EU and EFTA agreements (PDF)
Invest in Switzerland – Key Industries | Switzerland Global Enterprise
The Productivity Deficit of the Knowledge-Intensive Business Service Industries in Switzerland (PDF; 2015) | Boris Kaiser & Michael Siegenthaler – Study on behalf of the State Secretariat for Economic Affairs SECO
Greater Zurich Area
Switzerland | The Local
Switzerland | BBC
Switzerland | Guardian
Switzerland | The Telegraph
Switzerland | The New York Times
Switzerland | CNBC
Switzerland | CNN Money
Swiss Bankers Association
Switzerland (PDF) | Financial Secrecy Index
Switzerland | US News
Switzerland | EIU
Switzerland | The Economist
Switzerland | Credit Suisse
Switzerland | UN Global Compact
Switzerland – Human Development Indicators | UNDP
The CPT and Switzerland | Council of Europe
Switzerland | IAEA PRIS
Switzerland | National Geographic
Economy | Switzerland Tourism
Switzerland Innovation
Transforming the Swiss economy – The impact of automation on employment and industries | Deloitte
Switzerland | ARAB NEWS
Switzerland | Trading Economics
Is Switzerland the Perfect Economy? (07/31/2015) | Lina Kherchi The market Mogul
What makes Switzerland so competitive? (03/09/2014) | Thierry Geiger WEF
A Note on Switzerland’s Economy – Did the Swiss economy really stagnate in the 1990’s, and is Switzerland really all that rich ? (PDF) | Jean-Christian Lambelet and Alexander Mihailov Crea Institute, Lausanne University
Switzerland: Economy Overview (02/02/2010) | Ina Dimireva EUbusiness
Switzerland | European Social Survey
Switzerland’s Economic Dependence during World War II | HISTORY OF SWITZERLAND
Commanding Heights : Switzerland Overview | PBS
Global Innovation Index 2017: Switzerland, Sweden, Netherlands, USA, UK Top Annual Ranking (06/15/2017) | WIPO


Switzerland Vol.2


https://twitter.com/VisitZurich/status/965986923356434432


https://twitter.com/Trace_EPFL/status/988384213962502145


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Switzerland Vol.1

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Switzerland_Mountains
Switzerland_Linguistic


Cantons of Switzerland | TRAMsoft GmbH
The 10 Most Populous Cities In Switzerland | World Atlas
Switzerland’s Political System and Government | ALL ABOUT SWITZERLAND
The Federal Council, The portal of the Swiss government
Switzerland’s direct democracy (YouTube)
What Type Of Government Does Switzerland Have? | World Atlas
This is how Switzerland’s direct democracy works (31/07/2017) | Micol Lucchi WEF
Switzerland’s People Power (04/20/2017) | Catherine Bosley BLOOMBERG
7 Reasons Why Switzerland Is The Best-Run Country In The World (12/11/2012) | Max Nisen BUSINESS INSIDER
Switzerland Celebrates Europe’s Strangest System of Government (21/09/2017) | Mathieu von Rohr SPIEGEL ONLINE
The Swiss Cantonal System: A Model democracy (03/12/2000) | LIBERTY INTERNATIONAL
How Switzerland’s cabinet works – Politics in Switzerland | Just Landed
Switzerland’s 18 living ex-presidents: a political record (07/12/2017) | Thomas Stephens SWI
The political System of Switzerland | SwissCommunity
Switzerland Government | GraphicMaps
Switzerland Corruption Report | GAN BUSINESS ANTI-CORRUPTION Portal
SECRETS OF SWISS SUCCESS – LESSONS FOR NEW ZEALAND (PDF) | Oliver Hartwich The Centre for Independent Studies
https://twitter.com/Martin_Dahinden/status/984800784985526272


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Free papers, reports, et al. Vol.46


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