The data represents the findings of a survey of social scientists working in Higher Education Institutions in the UK whose primary occupational focus – either research or teaching - is sport. The survey was distributed via the email lists and social media accounts of a number of learned societies/professional bodies who were supporting partners of the project. These were the Sport Study Group of the British Sociological Association, the Sport Specialist Group of the Political Studies Association, the British Society for Sport Historians, the British Philosophy of Sport Association, the Leisure Studies Association, and the Football Collective. Additional recruitment and reminders were sent via the social media accounts of the project and the accounts of the individual investigators. The aim of the survey was to provide an overview of those working in the sector. Questions sought details of the demographic characteristics of respondents (job roles, career stage, educational background), current teaching (degrees taught on, level of teaching, hours dedicated to teaching), research (conference papers, journal articles, research supervision, theories and methods), organisational affiliations, conference activities and motivations for both. The survey was open from in October 2021 until January 2022. A total of 32 responses were received. A parallel survey was conducted in Taiwan to enable a comparison of the field in two cultural contexts. Due to the low level of response in both locations the findings were not developed for publication as originally intended.The project draws together researchers from the UK and Taiwan who study sport from critical social scientific perspectives such as sociology, politics, human geography, and communication studies. The UK and Taiwan are world leaders in these fields, and the UK and Taiwan applicants have a proven track record of collaboration. While previous collaborations have been built on the common issues sport faces in in the two countries - most notably nationalism and gender - the two countries also face similar emerging issues around immigration and sport and foreign investment in domestic sporting cultures. This project will expand existing relations through sharing ideas, evidence, methods and experience. This will stimulate new research projects of international significance. However, additional benefits will include improving academic-public engagement, creating more cohesive research communities in the two countries, and boosting the international profile of both UK and Taiwan scholars in the field of sport and social science. Relations between UK and Taiwan researchers will be strengthened in multiple ways. A website will serve as a vehicle for the sharing and dissemination of information about the broader project. Podcasts will include introductory information about the sport cultures in the two countries and focus on the most pressing contemporary issues. Scoping surveys will map the field and identify areas with the greatest potential for future development. Research partnerships will be developed through targeted financial support and a mentoring programme especially designed to assist Early Career Researchers (ECRs). Exchange visits to the UK and Taiwan will include a series of events which showcase research strengths, explore what can be mutually learnt about academic-media-public engagements, strengthen both domestic and international organisational collaborations, and support doctoral students and ECRs. Social media will be used throughout the project to engage research communities, publicise project activities and thus sustain the network. Project outputs will be designed to appeal to both academic and public audiences. In both countries we will create databases of expertise within the social sciences of sport. The presentations and posters produced through the network collaborations, including those presented at the domestic meetings and the ISSA Congress, will be hosted on the project website. A journal article will report the findings of scoping surveys and two journal special issues and an edited book have been proposed which will prioritise UK-Taiwan comparative studies of sport initiated by this programme. Other journal special issues will be proposed around key topics as the original and innovative research emerges. Podcasts will bring together academic and public audiences by focusing on a broad range of content designed to appeal to researchers and students, as well as those in the sports media and sports industry. The project's social media presence will help sustain the network. It will also generate broader social appeal by connecting academics with the media and the public and engaging the public with contemporary sporting issues and social scientific scholarship. The network's 'pump priming' activities will stimulate longer term collaborations focused on publication and research funding and so create a sustainable community of scholars.

In the year ended May 31, 2024, Nike's North American revenue amounted to about 21.4 billion U.S. dollars. In the EMEA region (Europe, Middle East, and Africa), the company generated some 13.6 billion U.S. dollars' worth of sales that year. Nike Nike, Inc. is a sportswear and equipment supplier based in the United States that was founded in January 1964. The company's headquarters are located near Beaverton, Oregon. Nike is the world's leading supplier of athletic shoes and apparel and is also a major manufacturer of sports equipment. Sports sponsorships Given Nike's success, size, and popularity, it comes to no surprise that the company is actively involved in the world of sports sponsorships. In fact, Nike has become one of the most reputable athletic sponsors in the world over the years. Nike looks for and uses sponsorship agreements with celebrity athletes, professional sports teams, and college athletic programs for the promotion of their products, technology, and design.

This sample covers attendance-based events that impact businesses. Attended events are gatherings with a start and end date/time, where people come together in one location for entertainment or business. Companies use this information to inform their demand forecasting and planning, and update their staffing, inventory and pricing strategies to match demand. Teams at Domino’s Pizza, Uber and AccorHotels trust PredictHQ’s precise and scalable real-world events data to enhance demand forecasting models, improve workforce optimisation strategies, aid dynamic pricing efforts, and much more.

Data also includes Predicted Event Spend, a dollar figure that reflects the predicted amount of retail, accommodation, and transportation spending in a specific area as a result of a major event. At the core of this data sits our market leading global event coverage, predicted event attendance, local accommodation demand, third party data and more to give you greater geographical context of the scale of the economic impact an event will have.

Location: Munich, Germany Visibility Window: 1-Year Historical Categories: Sports, Festivals, Expos, Conferences, Concerts, Performing Arts, and Community.

Fields Included: - Title - Category - Labels - Description - Start date and time - End date and time - Predicted end time - Country - Lat / Lon - Venue Name - Venue Address - Rank (PHQ Rank, Local Rank) - PHQ Attendance - Event status - Place Hierarchy - Created/updated timestamps - Predicted event spend total - Predicted event spend accommodation - Predicted event spend hospitality - Predicted event spend transportation

Polygon information: PredictHQ's polygons enable you to see the full area impacted by an event represented as a shape, because many types of events don't occur neatly at a point on a map. That means you will get a much more accurate picture of impact. Data samples including polygons are available upon request.

Data quality: PredictHQ's data quality is one of its key strengths: 1) We have developed a set of Quality Standards for Processing Demand Causal Factors (QSPD), which are used to define the criteria for high-quality event data. By following these standards, PredictHQ ensures that their data meets the highest levels of quality. 2) We use more than 450 data sources to collect event data, including public records, social media, and ticketing websites. 3) We have built thousands of machine learning models that standardize, verify, enrich, and rank every single event. 4) On average we process 28 million events and 422,000 entities every day 5) We track the quality of our data over time and make improvements as needed.

About PredictHQ: PredictHQ is the world’s first and only company that provides the missing context for the biggest external factor that impacts businesses demand – events. PredictHQ’s intelligent data of verified global events enables businesses to forecast shifts in demand from events to be able to adjust their inventory, make changes to labor, dynamically price and operate more efficiently. Think conferences, sports games, college graduations, floods, and more. PredictHQ brings all events into one place, combines it with world-first tools and intelligence to allow organizations to better predict and respond to changing customer demand created by events in an easy, reliable, and scalable way. We meet customers exactly where they are, ensuring they can access our data the way that suits them best.

Learn more about PredictHQ's real-world event data by visiting our Developer and Data Science Documentation: https://docs.predicthq.com/

Keywords: attended events, attendance, sports, festivals, expos, conferences, concerts, performing arts, community, polygon, consumer spending, predicted spend, location information, demand intelligence, financial data, venue location, accommodation, transportation, restaurant, demand intelligence, event intelligence, event categorisation, business insights, event tracking, historical event data, even impact analysis, event-driven decisions, predictive analytics

There are many school holidays globally, but they can impact your demand drastically if you aren’t aware of them. Therefore, if your business revolves around children and families or is located within a short radius of a school, tracking school holiday data should be part of your planning or forecasting. Whether you run a coffee chain that expects parents to come in after school drop off or you’re a hotelier that sees a big spike in demand when students are on break. Not only do we track school holidays at the district level but we also enable you to more accurately understand their geographic impact through our polygons features. School holidays don’t occur neatly at a point on a map, they impact a geographic area such as a region, state or an entire country. Our polygons enable you to see the full area impacted by a school holiday event represented as a shape. That means you will get a much more accurate picture of impact.

Location: US-wide Visibility Window: 1-Year Historical Categories: School holidays

Fields Included: - Title - Category - Labels - Description - Start date and time - End date and time - Predicted end time - Country - Lat / Lon - Venue Name - Venue Address - Rank (PHQ Rank, Local Rank) - PHQ Attendance - Event status - Place Hierarchy - Created/updated timestamps - Predicted event spend total - Predicted event spend accommodation - Predicted event spend hospitality - Predicted event spend transportation

Polygon information: PredictHQ's polygons enable you to see the full area impacted by an event represented as a shape, because many types of events don't occur neatly at a point on a map. That means you will get a much more accurate picture of impact. Data samples including polygons are available upon request.

Data quality: PredictHQ's data quality is one of its key strengths: 1) We have developed a set of Quality Standards for Processing Demand Causal Factors (QSPD), which are used to define the criteria for high-quality event data. By following these standards, PredictHQ ensures that their data meets the highest levels of quality. 2) We use more than 450 data sources to collect event data, including public records, social media, and ticketing websites. 3) We have built thousands of machine learning models that standardize, verify, enrich, and rank every single event. 4) On average we process 28 million events and 422,000 entities every day 5) We track the quality of our data over time and make improvements as needed.

About PredictHQ: PredictHQ is the world’s first and only company that provides the missing context for the biggest external factor that impacts businesses demand – events. PredictHQ’s intelligent data of verified global events enables businesses to forecast shifts in demand from events to be able to adjust their inventory, make changes to labor, dynamically price and operate more efficiently. Think conferences, sports games, college graduations, floods, and more. PredictHQ brings all events into one place, combines it with world-first tools and intelligence to allow organizations to better predict and respond to changing customer demand created by events in an easy, reliable, and scalable way. We meet customers exactly where they are, ensuring they can access our data the way that suits them best.

Learn more about PredictHQ's real-world event data by visiting our Developer and Data Science Documentation: https://docs.predicthq.com/

Keywords: attended events, attendance, sports, festivals, expos, conferences, concerts, performing arts, community, polygon, consumer spending, predicted spend, location information, demand intelligence, financial data, venue location, accommodation, transportation, restaurant, demand intelligence, event intelligence, event categorisation, business insights, event tracking, historical event data, even impact analysis, event-driven decisions, predictive analytics, School holiday, observances, public holidays, election, campaign, holiday, delays,

lululemon, which was founded in 1998, is a sports apparel retailer that started out in Canada, but soon spread to the United States. The company currently has outlets in North America, Europe, and the APAC region. lululemon has grown considerably from its beginnings out of a single design/yoga studio in Canada to operating over 700 stores around the world. As of January 2024, nearly 370 of lululemon’s company-operated retail stores were specifically located in the United States.

The rise of lululemon operated stores around the world lululemon athletica inc., is a company that designs, distributes, and retails athletic clothing products. The company started out on a modest scale with designs made exclusively for women practicing yoga. The company has since extended its product offering to clothing for athletics and general fitness and now caters to men as well as women. The majority of the company’s stores are branded lululemon.

Does lululemon generate all of its revenue from retail stores? In addition to physical company-operated stores, lululemon generates revenue online. lululemon’s direct-to-consumer business segment was a significant source of revenue for the company during 2020's coronavirus (COVID-19) pandemic, when many of the company's outlets were closed temporarily. Although its stores have reopened in the meantime, this e-commerce approach has remained a huge part of lululemon's business: in its 2023 financial year, the direct-to-consumer segment accounted for roughly 45 percent of the company's net sales.