Northwestern University IPHAM Twitter Basics WorkshopRoger Knight
Are you part of an academic medical center and you are curious about Twitter but don't know where to start? Have you created a Twitter account but never use it? Do you want to know how to use Twitter to engage, collaborate and disseminate your research? Then, this Twitter Basics Workshop presentation is for you! If you have any questions, please contact Roger Knight at rknight@northwestern.edu or @chicagopana
Northwestern University IPHAM Twitter Basics WorkshopRoger Knight
Are you part of an academic medical center and you are curious about Twitter but don't know where to start? Have you created a Twitter account but never use it? Do you want to know how to use Twitter to engage, collaborate and disseminate your research? Then, this Twitter Basics Workshop presentation is for you! If you have any questions, please contact Roger Knight at rknight@northwestern.edu or @chicagopana
Inter-context Trust Bootstrapping for Mobile Content SharingDaniele Quercia
This talk will look at how a trust model running on device A determines the extent to which A should initially trust device B in a given context (content category). It does so by considering two cases: in the first, A does not know B at all; in the second case, A knows B but in contexts other than that of interest. For each of those two cases, this talk will discuss the most recent proposal that improves on existing solutions (TRULLO and distributed propagation), and will also attempt to suggest new research directions (such as private collaborative filtering - post & more).
Outreach Through Social Media | Ocean Sciences 2014Christie Wilcox
My presentation at Ocean Sciences 2014 in Honolulu, HI on how scientists can use social media for outreach and professional development. The internet is yours! #OSMSocial #2014OSM
Twitter as a Research Megaphone - How can academics build a Twitter following and use it to promote research to journalists and policymakers - Connecticut Scholars Strategy Network Chapter @ct_ ssn - June 24, 2021
Inter-context Trust Bootstrapping for Mobile Content SharingDaniele Quercia
This talk will look at how a trust model running on device A determines the extent to which A should initially trust device B in a given context (content category). It does so by considering two cases: in the first, A does not know B at all; in the second case, A knows B but in contexts other than that of interest. For each of those two cases, this talk will discuss the most recent proposal that improves on existing solutions (TRULLO and distributed propagation), and will also attempt to suggest new research directions (such as private collaborative filtering - post & more).
Outreach Through Social Media | Ocean Sciences 2014Christie Wilcox
My presentation at Ocean Sciences 2014 in Honolulu, HI on how scientists can use social media for outreach and professional development. The internet is yours! #OSMSocial #2014OSM
Twitter as a Research Megaphone - How can academics build a Twitter following and use it to promote research to journalists and policymakers - Connecticut Scholars Strategy Network Chapter @ct_ ssn - June 24, 2021
A discussion of what makes a good tweet, some ideas for how scholastic media can use Twitter, how to schedule tweets and how to analyze success using Twitter.
The Next Wave: Emerging Trends in Nonprofit Social Media MarketingBloomerang
https://bloomerang.co/resources/webinars/
Julia Campbell will provide a framework for evaluating the best platforms for your unique organization, as well as ideas for creating great social media content your audience will love.
Created by Annie Heckenberger and Alex Hillman for the "Virtual Marketing/Real Dollars" session at the InterActivity 2009 Children's Museum conference.
Like Partying? Your Face Says It All. Predicting Place AMBIANCE From Profile ...Daniele Quercia
Like Partying? Your Face Says It All. Predicting Place AMBIANCE From Profile Pictures
Miriam Redi, Daniele Quercia, Lindsay Graham, Samuel Gosling
paper http://arxiv.org/abs/1505.07522
Trend Makers and Trend Spotters in a Mobile ApplicationDaniele Quercia
WHO creates trends in a mobile sharing app? accidentals or influentials?
Answer: influentials DO exist, yet they are not few but many!
http://profzero.org/publications/trend13sha.pdf
Social computing broadly refers to supporting social behaviours using computational systems. In the last decade, the advent of Web 2.0 and its social networking services, wikis, blogs, and social bookmarking has revolutionised social computing, creating new online contexts within which people interact socially (social networking). With the pervasiveness of mobile devices and embedded sensors, we stand at the brink of another major revolution, where the boundary between online and offline social behaviours blurs, providing opportunities for (re)defining social conventions and contexts once again. But opportunities come with challenges: can middleware foster the engineering of social software? We identify three societal grand challenges that are likely to drive future research in social computing and elaborate on how the middleware community can help address them.
Auralist: Introducing Serendipity into Music RecommendationDaniele Quercia
Recommendation systems exist to help users discover content in a large body of items. An ideal recommendation system should mimic the actions of a trusted friend or expert, producing a personalised collection of recommendations that balance between the desired goals of accuracy, diversity, novelty and serendipity. We introduce the Auralist recommendation framework, a system that - in contrast to previous work - attempts to balance and improve all four factors simultaneously. Using a collection of novel algorithms inspired by principles of ‘serendipitous discovery’, we demonstrate a method of successfully injecting serendipity, novelty and diversity into recommendations whilst limiting the impact on accuracy. We evaluate Auralist quantitatively over a broad set of metrics and, with a user study on music recommendation, show that Auralist’s emphasis on serendipity indeed improves user satisfaction.
Recommending Social Events from Mobile Phone Location Data
A city offers thousands of social events a day, and it is difficult for dwellers to make choices. The combination of mobile phones and recommender systems can change the way one deals with such abundance. Mobile phones with positioning technology are now widely available, making it easy for people to broadcast their whereabouts; recommender systems can now identify patterns in people’s movements in order to, for example, recommend events. To do so, the system relies on having mobile users who share their attendance at a large number of social events: cold-start users, who have no location history, cannot receive recommendations. We set out to address the mobile cold-start problem by answering the following research question: how can social events be recommended to a cold-start user based only on his home location?
To answer this question, we carry out a study of the rela- tionship between preferences for social events and geography, the first of its kind in a large metropolitan area. We sample location estimations of one million mobile phone users in Greater Boston, combine the sample with social events in the same area, and infer the social events attended by 2,519 residents. Upon this data, we test a variety of algorithms for recommending social events. We find that the most effective algorithm recommends events that are popular among residents of an area. The least effective, instead, recommends events that are geographically close to the area. This last result has interesting implications for location-based services that emphasize recommending nearby events.
"FriendSensing: Recommending Friends Using Mobile Phones" - Talk for this RecSys paper
http://web.mit.edu/quercia/www/publications/friendSensing_short.pdf
"Sybil Attacks Against Mobile Users: Friends and Foes to the Rescue". Presentation at INFOCOM 2010 of this paper
http://eprints.ucl.ac.uk/18812/1/18812.pdf
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
12. social media CS Researchers: “ Twitter is NOT a social network but a news media”
13. social media Pop press pundits (Archbishop England&Wales): “ Social-networking sites “dehumanize” community life” CS Researchers: “ Twitter is NOT a social network but a news media”
14. social media Pop press pundits (Archbishop England&Wales) “ Social-networking sites “dehumanize” community life” CS Researchers: “ Twitter is NOT a social network but a news media” “ I beg to differ” ;-)
18. 1 listeners, popular, & influential: extrovert & emotionally stable 2 highly-read: open to new experiences 3 predict personality from 3 public numbers
19. social media language personality social media now