Skip to main content

SBP11 Day 2

I stayed in SBP11 for the whole day today, attending the keynote speaker sessions and all presentations. As it is a multi-disciplinary computer-modeling conference, I will not say I have interest in every topic presented. Here, I summarize my observation into four themes:


1. A few studies use social network analysis to identify the relationships among a group of people. Based on the frequency and pattern of communications and/or interactions, a social-network map can be drawn. This tactic could be used by federal agencies to identify the leaders of an organization (e.g. terrorist groups).

2. Some studies identify the frequently-used key words from a large data set (e.g. tweets) with data mining techniques, such as Latent Dirichlet Allocation (LDA). Social network analysis and LDA seems to be the “popular” methods.

3. There are more topics related to public health and medicare issues than I expected. Computer-modeling is a tool for data analysis. Where should these methods be used is researchers’ choice. Probably this is why this is multi-disciplinary conference.

4. In terms of planning a conference (event management), I feel the organizer put up a very good event. It is not a huge conference with thousands of attendees. The food was good. They are able to find a few sponsors to lower attendees’ costs --- registration fee is around $200 (I pay more than $600 for some other academic conferences); the conference was even able to provide some travel supports to students. I enjoyed the round table discussion session, where I could introduce myself to other experts and a few federal funding agencies. This conference informed me of several grant and collaboration opportunities.

Stay tuned for SBP11 Day 3. Dr. Bei Yu and I co-authored a paper entitled Toward Predicting Popularity of Social Marketing Messages in this conference, which will be presented in Day 3.

Relevant discussion: SBP11 Day 1

Comments

  1. As far as social media and LDA, these techniques have proven useful time and time again, first story that pops into mind are the Domino's employees that got fired after posting a video of how the tampered with food in the back of the restaurant. Also, a woman was fired after discrediting her boss on her Facebook status under the Constitutional right of the boss to not have his name slandered unrightfully or untruthfully.

    Jumping over to the event planning, offering assistance to students was a very good idea for them as current college students are the ones who will be taking over the new rise of technology and who are able to pick up on it quicker as they have been raised in such an environment most of their lives. Also with programs such as Computer Engineering like at SU, upcoming college grads are being prepped to assess and handle situations like these as they go out into the world. Also, those in service industries like hospitality will need to be able to learn and use these systems effectively to keep up with the changing technology in the industry.

    ReplyDelete
  2. Thank you for sharing such a useful article. I had a great time. This article was fantastic to read. Continue to publish more articles on

    Data Engineering Services 

    Data Analytics Solutions

    Data Modernization Solutions

    AI & ML Service Provider

    ReplyDelete

Post a Comment

Popular posts from this blog

Luxury vs. Millennials and Their Technology: The Ritz-Carlton (By Julia Shorr)

Embodying the finest luxury experience, The Ritz-Carlton Hotel Company, LLC has been established since 1983. In 1998, Marriott International purchased the brand offering it more opportunity for growth while being independently owned and operated. They are known for their enhanced service level as the motto states, “Ladies and Gentlemen serving Ladies and Gentlemen”. The luxury brand now carries 97 hotels and resorts internationally and is attempting to keep the aspects of luxury while keeping up with the trends of the technologically improving generations. The Varying Demographics of the Target Market The Ritz-Carlton’s typical target market includes: business executives, corporate, leisure travelers, typically middle-aged persons and elders, and families from the upper and upper-middle class section of society .   This infers a large range of types of travelers in which all are similar in that they are not opposed to spending extra for the luxurious ambiance. However, with

The challenges of SB 93 (California Senate Bill No. 93) will impose on the employers and their human resource management team (by Brittany Schaffer)

The COVID-19 pandemic started in early 2020, and it has caused massive changes within a short period of time. One of the most rememberable effects of the COVID-19 pandemic was that businesses had to come to a complete halt, forcing them to lay off employees. California's unemployment rates went up.  Now that the stay-at-home orders have lifted, people start to come out. Businesses are now reopening, looking to rehire their laid-off employees. Before the pandemic, employers had the option of recalling only a certain number of laid-off employees they would want to rehire based on employees' job performance. That option had been changed after Governor Gavin Newsome signed into law - Senate Bill 93, which went into effect on April 16th, 2021. The California Senate Bill No. 93 (SB 93) According to SB 93, companies in specific industries, mainly the hospitality industry, have the obligation to provide job opportunities in written form to qualified employees being laid off due to COVI

Want to win in future competitions? Invest in data-driven decisions now

Speaking of the permanent changes in the hospitality industry, many people will probably agree that demands for “bleisure”/“work-from-anywhere” travel and contactless self-service will continue to grow in the near future. Not everyone, however, realizes that data-driven decisions will become a key driver for growth in the industry, which has already affected how we do business now.   Automatic service enables businesses to capture more operational and consumer data for business decisions   One advantage of using automatic service comes from its ability to spontaneously capture and store real-time operational and consumer data for additional analysis. In the old-time when businesses still relied on workers to serve customers, operational data were collected usually through careful book-keeping, documentations, and observations; consumer data through market research were often limited to their perceptions, behavioral intentions, or past experience.     Now that automatic service is provi