College Basketball Tournament Season is here! Luker On Trends and SSRS have put together an inside look on Tournament Trends over the past two decades. Take a look at our latest infographic and report!
SEO: A Crash Course | What is SEO in 2015? An Ethoseo™ PresentationDamien Wright
This SEO presentation is from Photolush 2015 in Bellingham, WA. Topics include how Google works, on-site optimization, off-site optimization, link earning, and web analytics.
Want to land a sweet tech job? But not sure how to break in? Discover the seven secrets that took me from teaching kindergarten to landing jobs at Apple, LinkedIn, and startups!
Think cover letters don't matter? Think again. Learn how recruiters really evaluate them, based on my experience hiring at LinkedIn and startups.
Learn more at www.breakinto.tech
Blue Moon - Advertising Plan (Group Project)Sam Cheema
Blue Moon Ad Plan that was a required assessment as part of undertaking my studies in SUNY New Paltz. We devised this plan through research and foresight of implication.
A well-informed C-Suite is the most critical part of an effective cyber risk management program. This presentation provides the essential knowledge every executive must possess about cybersecurity to be effective when discussing the topic.
SEO: A Crash Course | What is SEO in 2015? An Ethoseo™ PresentationDamien Wright
This SEO presentation is from Photolush 2015 in Bellingham, WA. Topics include how Google works, on-site optimization, off-site optimization, link earning, and web analytics.
Want to land a sweet tech job? But not sure how to break in? Discover the seven secrets that took me from teaching kindergarten to landing jobs at Apple, LinkedIn, and startups!
Think cover letters don't matter? Think again. Learn how recruiters really evaluate them, based on my experience hiring at LinkedIn and startups.
Learn more at www.breakinto.tech
Blue Moon - Advertising Plan (Group Project)Sam Cheema
Blue Moon Ad Plan that was a required assessment as part of undertaking my studies in SUNY New Paltz. We devised this plan through research and foresight of implication.
A well-informed C-Suite is the most critical part of an effective cyber risk management program. This presentation provides the essential knowledge every executive must possess about cybersecurity to be effective when discussing the topic.
American Marketing Association - Strategy Presentation Sam Cheema
Marketing strategy plan for SUNY New Paltz AMA plan - 2016. This plan was devised for the premise of the degree in Marketing Communications at SUNY New Paltz. This plan was further implemented by the AMA and won an award.
Meeting and event planners are the movie producers of the corporate world. What you do has the power to educate, empower and inspire people. Your work isn’t just a line item, it’s essential to helping your company achieve its organizational objectives. In this session, you’ll learn about the newest technology, team-building, meeting design and food and beverage trends.
Learner objectives:
1. Understand the essential steps required for any successful meeting.
2. Discover tech tools that expedite the planning process.
3. Learn how new trends in meeting design, technology, team-building and F&B can be incorporated into meetings & events.
Have questions about this presentation? We'll be moderating a LIVE Q&A on Twitter on May 5, 2015 at 1pm CT/2pm ET. Tweet questions to @PYMLive and tag with #IAAPAPW.
This presentation was created as a gift to the members of IAAP in honor of Administrative Professionals Week. For more on-demand learning, or to find in-depth sessions mentioned in this presentation, visit http://iaap-hq.org.
For more articles on how to plan meetings and events, visit http://planyourmeetings.com - where subscriptions and great ideas are free.
I Quit. Next Steps to Take When Blinded by the Market.David Aferiat
The first wave of Big Data focused on the insight possible from the enormous amount of data our actions generate. The second wave will focus on how such insight leads to automated decisions. This presentation describes how Trade Ideas is riding this trend for better decisions when trading in the markets.
The slides cover Introduction to Big Data and Data Science, as well as go over our current and future projects @eHarmony.
eHarmony was founded to give people a better chance to find happy, passionate and fulfilling relationships.
During this talk I will describe steps that we go through to create Compatible matches and how we leverage Big Data technologies to accomplish that goal.
I will specifically talk on how we take Billion+ potential matches that we find through MongoDB, store them in Voldemort NoSQL datastore and then run multiple Hadoop jobs to come up with filtered list based on Machine Learned models.
Our hadoop clusters are in-house, high density, low power Seamicro installations and we use Spring Batch and Spring Data Hadoop to orchestrate the hadoop jobs.
Did you know that eHarmony is responsible for 5% of all new US marriages and that more than 600,000 people already got married through us?
Messaging Brokers are intrinsic part of our infrastructure and our experience with HornetQ has not been really great.
We have experienced issues that forced us to perform restarts multiple times a day and sometimes they weren't sufficient to fix the issue and data cleanup was needed resulting in loss of important messages.
Lack of documentation, lack of proper support and lack of stability of HornetQ broker are some of the reasons for looking into new Messaging Brokers.
During this session I will present the path we have taken to Prioritize Features -> Compare Brokers -> Eliminate -> Benchmark and the findings together with recommendations.
This task resulted in implementation of generic messaging broker benchmarking tool in Java, called Benchmark.io which we are intending to open source.
Should we have a pedagogy of technology?Ashley Casey
In this paper I argue for the need to develop a pedagogy of technology that encourages us to use all technology only as a means of educating children and young people for the 21st Century.
This is a proposal Donald Lamonaca and I presented to the executives of Legends at One World Observatory regarding improving the operations of the company.
Let’s see how Quid segments the online video market. We’ll look to find high growth sectors and whitespace opportunities in this space to identify signals to give you a competitive edge.
Jardim Uruçanga Hype Apartaments, Lançamento, Freguesia, Apartamentos no Rio...Suely Maia
JARDIM URUÇANGA HYPE APARTAMENTS
Localizado no Jardim Uruçanga em uma rua sem saída, com muita tranquilidade, muito verde. Venha mora num condomínio com apenas 30 apartamentos de 2 e 3 quartos com suíte e coberturas duplex. As unidades de 2 quartos medem entre 65,88 m² e 69,64m² e as unidades de 3 quartos medem 84,34m². As coberturas duplex de 2 quartos mede 130,35m² ; as coberturas duplex de 3 quartos entre 137,97 e 169,73m² e as coberturas duplex de 4 quartos medem 169,68m². Teremos 24 apartamentos com 1 vaga de garagem e as 6 coberturas com 2 vagas de garagens. Lazer completo para as 30 famílias. Segurança 24hs.
Agende sua visita comigo.
Vendas e informações: 98247-5035
Jardim Uruçanga Freguesia Hype Apartaments apenas 30 unidades de 2 e 3 quartos de alto padrão em um condomínio exclusivo com lazer completo e opção de plantas customizadas. Um Bairro que você já conhece, de uma forma que você nunca viu.
American Marketing Association - Strategy Presentation Sam Cheema
Marketing strategy plan for SUNY New Paltz AMA plan - 2016. This plan was devised for the premise of the degree in Marketing Communications at SUNY New Paltz. This plan was further implemented by the AMA and won an award.
Meeting and event planners are the movie producers of the corporate world. What you do has the power to educate, empower and inspire people. Your work isn’t just a line item, it’s essential to helping your company achieve its organizational objectives. In this session, you’ll learn about the newest technology, team-building, meeting design and food and beverage trends.
Learner objectives:
1. Understand the essential steps required for any successful meeting.
2. Discover tech tools that expedite the planning process.
3. Learn how new trends in meeting design, technology, team-building and F&B can be incorporated into meetings & events.
Have questions about this presentation? We'll be moderating a LIVE Q&A on Twitter on May 5, 2015 at 1pm CT/2pm ET. Tweet questions to @PYMLive and tag with #IAAPAPW.
This presentation was created as a gift to the members of IAAP in honor of Administrative Professionals Week. For more on-demand learning, or to find in-depth sessions mentioned in this presentation, visit http://iaap-hq.org.
For more articles on how to plan meetings and events, visit http://planyourmeetings.com - where subscriptions and great ideas are free.
I Quit. Next Steps to Take When Blinded by the Market.David Aferiat
The first wave of Big Data focused on the insight possible from the enormous amount of data our actions generate. The second wave will focus on how such insight leads to automated decisions. This presentation describes how Trade Ideas is riding this trend for better decisions when trading in the markets.
The slides cover Introduction to Big Data and Data Science, as well as go over our current and future projects @eHarmony.
eHarmony was founded to give people a better chance to find happy, passionate and fulfilling relationships.
During this talk I will describe steps that we go through to create Compatible matches and how we leverage Big Data technologies to accomplish that goal.
I will specifically talk on how we take Billion+ potential matches that we find through MongoDB, store them in Voldemort NoSQL datastore and then run multiple Hadoop jobs to come up with filtered list based on Machine Learned models.
Our hadoop clusters are in-house, high density, low power Seamicro installations and we use Spring Batch and Spring Data Hadoop to orchestrate the hadoop jobs.
Did you know that eHarmony is responsible for 5% of all new US marriages and that more than 600,000 people already got married through us?
Messaging Brokers are intrinsic part of our infrastructure and our experience with HornetQ has not been really great.
We have experienced issues that forced us to perform restarts multiple times a day and sometimes they weren't sufficient to fix the issue and data cleanup was needed resulting in loss of important messages.
Lack of documentation, lack of proper support and lack of stability of HornetQ broker are some of the reasons for looking into new Messaging Brokers.
During this session I will present the path we have taken to Prioritize Features -> Compare Brokers -> Eliminate -> Benchmark and the findings together with recommendations.
This task resulted in implementation of generic messaging broker benchmarking tool in Java, called Benchmark.io which we are intending to open source.
Should we have a pedagogy of technology?Ashley Casey
In this paper I argue for the need to develop a pedagogy of technology that encourages us to use all technology only as a means of educating children and young people for the 21st Century.
This is a proposal Donald Lamonaca and I presented to the executives of Legends at One World Observatory regarding improving the operations of the company.
Let’s see how Quid segments the online video market. We’ll look to find high growth sectors and whitespace opportunities in this space to identify signals to give you a competitive edge.
Jardim Uruçanga Hype Apartaments, Lançamento, Freguesia, Apartamentos no Rio...Suely Maia
JARDIM URUÇANGA HYPE APARTAMENTS
Localizado no Jardim Uruçanga em uma rua sem saída, com muita tranquilidade, muito verde. Venha mora num condomínio com apenas 30 apartamentos de 2 e 3 quartos com suíte e coberturas duplex. As unidades de 2 quartos medem entre 65,88 m² e 69,64m² e as unidades de 3 quartos medem 84,34m². As coberturas duplex de 2 quartos mede 130,35m² ; as coberturas duplex de 3 quartos entre 137,97 e 169,73m² e as coberturas duplex de 4 quartos medem 169,68m². Teremos 24 apartamentos com 1 vaga de garagem e as 6 coberturas com 2 vagas de garagens. Lazer completo para as 30 famílias. Segurança 24hs.
Agende sua visita comigo.
Vendas e informações: 98247-5035
Jardim Uruçanga Freguesia Hype Apartaments apenas 30 unidades de 2 e 3 quartos de alto padrão em um condomínio exclusivo com lazer completo e opção de plantas customizadas. Um Bairro que você já conhece, de uma forma que você nunca viu.
Golden Gate - 2, 3 e 4 quartos - Centro Nova IguaçuAntonio Neto
O endereço mais nobre de Nova Iguaçu recebe agora um condomínio fechado a sua altura. 2, 3 e 4 quartos (all suítes) com até 137,75m², até 3 vagas de garagem e dependências; e coberturas de até 5 suítes, com até 252,68m², visão panorâmica e pé-direito duplo. A maior estrutura de lazer de Nova Iguaçu, bosque com vegetação nativa e alameda verde, segurança total para toda família com guarita de acesso, circuito interno de tv.
La movilidad en la Ciudad de México: Análisis y propuesta de rediseño de la s...Gerardo Sánchez Trejo
¿Existe un problema de comunicación en el sistema de señalización vial de la Ciudad de México?
---
Avances de investigación del Estudio de Caso "Análisis semiológico y etnográfico de la señalización vial de la Ciudad de México...".
Presentado en:
Coloquio de Estudiantes de Maestría en Comunicación
Universidad Iberoamericana, Ciudad de México
1 de abril de 2014
Graficalia - Design Gráfico na Tropicália - Campus Party Brasil 8 (2015)Fabiano Pereira
Apresentação de minha palestra: Graficália: Um mergulho no universo gráfico da Tropicália.
Tropicália no design gráfico. Ou seria design gráfico na Tropicália?
Um mergulho no universo gráfico de um dos períodos mais criativos da cultura contemporânea brasileira.
Confira a palestra:
http://youtu.be/OxOas3TFJns
College Basketball Tournament Season is here! Luker On Trends and SSRS have put together an inside look on Tournament Trends over the past two decades. Take a look at our latest infographic!
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
2. S o u r c e : L u k e r o n T r e n d s - E S P N S p o r t s P o l l
2 0 1 8 M A R KS T H E 2 5 T H Y E A R O F T H E L U K E R O N T R E N D S - E S P N
S P O RT S P O L L , T H E F I RS T A N D L O N G E S T - R U N N I N G T R A C K I N G
S E RV I C E O N S P O RT S FA N S I N T H E W O R L D . T H E S P O RT S P O L L
C U R R E N T LY T R A C KS I N T E R E S T I N 3 4 D I F F E R E N T S P O RT S ,
T E C H N O L O GY E N G A G E M E N T , M E D I A U SA G E , AT T E N D A N C E
B E H AV I O RS , A N D S P O N S O RS H I P S U P P O RT . I N T I M E F O R M A R C H ,
W E W O U L D L I K E T O I N T R O D U C E YO U T O T H E P O W E R O F T H E
S P O RT S P O L L BY U S I N G C O L L E G E B AS K E T B A L L AS A N E X A M P L E .
3. TOURNAMENT
trends
25 YEARS OF INTELLIGENCE
THE SPORTS POLL HAS TRACKED CORE FAN
METRICS, INCLUDING FAVORITE COLLEGE
BASKETBALL TEAM, SINCE 1994.
4. S o u r c e : L u k e r o n T r e n d s - E S P N S p o r t s P o l l
T H E L U K E R O N T R E N D S - E S P N S P O R T S P O L L H A S T R A C K E D FAV O R I T E C O L L E G E
B A S K E T B A L L T E A M S S I N C E 1 9 9 4 . O V E R T H AT T I M E , T H E T O P T E N FAV O R I T E
T E A M S H AV E B E E N R E M A R K A B LY C O N S I S T E N T . D U K E , N O R T H C A R O L I N A , A N D
K E N T U C K Y H AV E T R A D I T I O N A L LY R A N K E D AT T H E T O P . E I T H E R D U K E O R U N C
H A S R A N K E D A S T H E # 1 FAV O R I T E E V E RY Y E A R S I N C E 1 9 9 4 .
8.0%
5.9%
4.5%
3.3%
3.2%
2.7%
2.5%
2.4%
1.9%
1.6%
NorthCarolina
Kentucky
Duke
Michigan
UCLA
Georgetown
Indiana
Kansas
Arkansas
Syracuse
1997
5.6%
4.9%
3.9%
3.0%
2.8%
2.8%
1.9%
1.8%
1.5%
1.5%
Duke
NorthCarolina
OhioState
UCLA
Florida
Kentucky
Wisconsin
Texas
Indiana
Illinois
2007
5.0%
4.0%
2.8%
2.6%
1.9%
1.6%
1.5%
1.4%
1.2%
1.2%
Duke
NorthCarolina
Kentucky
UCLA
OhioState
Michigan
Kansas
Wisconsin
Syracuse
MichiganState
2017
5. S o u r c e : L u k e r o n T r e n d s - E S P N S p o r t s P o l l
O V E R T H E S E PA S T 2 5 Y E A R S , D U K E S 2 0 0 2 T E A M WA S T H E M O S T
P O P U L A R , F O L L O W E D BY U N C S 1 9 9 8 T E A M . O D D LY E N O U G H , N E I T H E R
O F T H O S E T E A M S W O N T H E N AT I O N A L C H A M P I O N S H I P . T H E M O S T
P O P U L A R N O N - D U K E O R U N C T E A M WA S K E N T U C K Y I N 1 9 9 8 . T H E O N LY
O T H E R S C H O O L I N C L U D E D B E L O W I S T H E 1 9 9 4 M I C H I G A N T E A M ( T H AT
F E AT U R E D F O U R O F T H E O R I G I N A L FA B 5 P L AY E R S ) .
10.5%
10.3%
9.2%
9.1%
8.2%
Duke2002
NorthCarolina1998
Duke2001
Duke2006
NorthCarolina1995
MOSTPOPULARTEAMSSINCE1994
6.1%
5.9%
5.4%
5.3%
4.9%
Kentucky1998
Kentucky1997
Michigan1994
Kentucky1996
Kentucky2015
MostPopularTeamsSince1994
(BesidesDuke&UNC)
% o f C o l l e g e B B F a n s s a y i n g t e a m i s t h e i r f a v o r i t e
7. S o u r c e : L u k e r o n T r e n d s - E S P N S p o r t s P o l l
14.7
19.6
26.2
10.3
6.7
10.7
5.5 6.3 4.5 5.4
13.5
9.5
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
N U M B E R O F C o l l e g e B A S K E T B A L L fa n s
w h o a r e m o s t i n t e r e s t e d i n C o l l e g e B A S K E T B A L L b y
m o n t h ( i n m i l l i o n s )
N = 9 0 2 0 C o l l e g e B a s k e t b a l l F a n s
I n 2 0 1 7 , 2 6 m i l l i o n C o l l e g e B a s k e t b a l l fa n s s a i d t h e y w e r e
m o s t i n t e r e s t e d i n C o l l e g e B a s k e t b a l l d u r i n g M a r c h . T h e r e
i s a b u i l d u p a s i n t e r e s t i n c r e a s e s f r o m J a n u a ry t o F e b r u a ry
a n d t h e n p e a ks d u r i n g M a r c h . N o s p o r t e n j o ys a g r e at e r
s e a s o n a l s p i k e t h a n C o l l e g e B a s k e t b a l l .
8. TOURNAMENT
trends
COVERAGE OF THE ENTIRE US POPULATION
INTEREST IN SPORTS VARIES
DRAMATICALLY WITHIN DIFFERENT PARTS
OF THE COUNTRY. SO DO SCHOOL
PREFERENCES.
9. S o u r c e : L u k e r o n T r e n d s - E S P N S p o r t s P o l l
D u k e i s t h e n at i o n a l fav o r i t e , b u t n o t # 1 i n a n y r e g i o n
Pa c i f i c :
U C L A
N e w
E n g l a n d :
U C o n n
M i d - At l a n t i c :
V i l l a n o va
E a s t N o r t h
C e n t r a l :
O h i o S tat e
W e s t N o r t h C e n t r a l :
K a n s a s
S o u t h At l a n t i c :
N o r t h C a r o l i n a
E a s t S o u t h
C e n t r a l :
K e n t u c k y
W e s t S o u t h C e n t r a l :
T e x a s
M o u n ta i n :
BY U
11. S o u r c e : L u k e r o n T r e n d s - E S P N S p o r t s P o l l
• S I N C E 1 9 9 4 , T H E C O L L E G E B A S K E T B A L L N AT I O N A L C H A M P I O N H A S
R E C E I V E D A N AV E R A G E B U M P O F 5 7 % I N P O P U L A R I T Y A S FAV O R I T E T E A M
D U R I N G T H E Y E A R T H E Y W O N T H E T I T L E . T H E H A L O T Y P I C A L LY L A S T S
M O R E T H A N J U S T T H AT Y E A R T O O . P O P U L A R I T Y WA S 4 8 % H I G H E R F O R
N AT I O N A L C H A M P S I N T H E S E C O N D Y E A R ( C O M PA R E D T O P R E -
C H A M P I O N S H I P ) . *
• U N C R E C E I V E D A 1 3 % B O O S T D U R I N G T H E I R C H A M P I O N S H I P Y E A R I N 2 0 1 7 .
V I L L A N O VA R E C E I V E D T H E H I G H E S T S I N G L E - Y E A R B O O S T ( 1 3 1 % ) I N 2 0 1 6 .
• A F I N A L F O U R R U N C A N H AV E N E A R LY A S G R E AT A N I M PA C T . S C H O O L S
T H AT M A D E T H E F I N A L F O U R R E C E I V E D A N AV E R A G E B U M P O F 47 % D U R I N G
T H AT Y E A R * * .
* E X C L U D E S F L O R I D A ( W H I C H W O N B A C K - T O - B A C K N A T I O N A L T I T L E S )
* * E X C L U D E S S C H O O L S T H A T S T A R T E D A T 0 % F A V O R I T E I N P R E V I O U S Y E A R
12. TOURNAMENT
trends
COVERAG E O F US PO PU LATIO N 12 AN D O LDER
12-17 YEAR-O LDS HAVE TRADITIO NALLY BEEN
TH E BIGGEST SPORTS FANS. TH EY HAVE ALSO
BEEN TH E MOST LI KELY TO CHANG E TH EI R
I NTER ESTS, FAVO R ITE CO LLEGE BASKETBALL
TEAMS I NCLU DED.
13. S o u r c e : L u k e r o n T r e n d s - E S P N S p o r t s P o l l
• T H E N AT I O N A L C H A M P I O N H AS I N C R E AS E D I N P O P U L A R I T Y BY
A N AV E R A G E O F 1 8 7 % W I T H 1 2 - 1 7 Y E A R - O L D S S I N C E 1 9 9 4 .
U N C R E C E I V E D A 4 6 % B O O S T AS FAV O R I T E T E A M W I T H 1 2 - 1 7
Y E A R - O L D S I N 2 0 1 7 .
• T H E B A N D WA G O N E F F E C T G O E S B E YO N D T H E N AT I O N A L
C H A M P S T O O . U C L A ( L E D BY L O N Z O B A L L ) R A N K E D AS 1 2 - 1 7
Y E A R - O L D S FAV O R I T E C O L L E G E B AS K E T B A L L T E A M I N 2 0 1 7 -
M O R E T H A N T W I C E AS P O P U L A R T H A N T H E Y W E R E W I T H A L L
C O L L E G E B AS K E T B A L L FA N S .
14. S o u r c e : L u k e r o n T r e n d s - E S P N S p o r t s P o l l
D u k e 1
K e n t u c k y 3
M i c h i g a n 6
K a n s a s 7
S y r a c u s e 9
V i l l a n o va 1 1
G o n z a g a 1 3
W e s t V i r g i n i a 2 5
F l o r i d a S tat e 3 5
P u r d u e 41
T e x a s A & M 4 5
C l e m s o n 5 3
T e x a s T e c h 5 9
K a n s a s S tat e 7 6
N e va d a 8 0
L o y o l a ( C h i c a g o ) N R
* N o t e : 2 2 2 s c h o o l s r e c e i v e d a t l e a s t o n e m e n t i o n i n 2 0 1 7
15. S o u r c e : L u k e r o n T r e n d s - E S P N S p o r t s P o l l
• T H E L U K E R O N T R E N D S - E S P N S P O R T S P O L L I S C O N D U C T E D F R O M A
R E P R E S E N TAT I V E S A M P L E O F A M E R I C A N S 1 2 A N D O L D E R B Y S S R S . T H E
S P O R T S P O L L T R A C K S I N T E R E S T I N 3 4 D I F F E R E N T S P O R T S ( 4 5 ,
I N C L U D I N G S O C C E R L E A G U E S ) , T E C H N O L O G Y E N G A G E M E N T , S P O R T S
T E L E V I S I O N V I E W E R S H I P , AT T E N D A N C E B E H AV I O R S , A N D S P O N S O R S H I P
S U P P O R T .
• D ATA I S C O L L E C T E D 3 5 0 D AY S A Y E A R F R O M A N AT I O N A L LY
R E P R E S E N TAT I V E S A M P L E O F A M E R I C A N S A G E 1 2 A N D O L D E R B Y S S R S .
I N T E R V I E W S A R E C O N D U C T E D W I T H 1 , 5 0 0 A M E R I C A N S E A C H M O N T H V I A
L A N D L I N E A N D C E L L P H O N E , A N D O F F E R E D I N B O T H E N G L I S H A N D
S PA N I S H .
• T H E 2 0 1 7 D ATA I N T H I S R E P O R T I S B A S E D O N A N AT I O N A L LY
R E P R E S E N TAT I V E S A M P L E O F 9 0 2 0 C O L L E G E B A S K E T B A L L FA N S A G E 1 2
A N D O L D E R .
16. S o u r c e : L u k e r o n T r e n d s - E S P N S p o r t s P o l l
MELISSA HERRMANN
P R E S I D E N T
M H E R R M A N N @ S S RS . C O M
@ H E R R M A N N M J
CHAD MENEFEE
S E N I O R PA RT N E R
C H A D @ L U K E R O N T R E N D S . C O M