LinkedIn: “What do 140,000 marketers, 4,000 Googlers, and 170,000 C-level executives have in common?
Answer: They all want to use their skills for good!
More than 4 million professionals like them have expressed interest in joining a nonprofit board or doing skills-based volunteering – or both.
GreatNonprofits, an organization that helps people find and rate other nonprofits, recently found two of these professionals on LinkedIn. Both are product managers who are spending 6 months to develop critical web-based tools to help the organization expand its reach.
“Both volunteers are creative, analytical, and really engaging deeply with staff,” says GreatNonprofits Founder and CEO Perla Ni. “We’re encouraged by how many talented, passionate people there are on LinkedIn who are willing to commit time to help nonprofits.”
As a professional, you can signal you want to use your skills for good on your LinkedIn profile by checking the boxes for “Joining a nonprofit board” and/or “Skills-based volunteering” in the Volunteer Experience & Causes section. If you’ve already done that, try searching for volunteer opportunities in your area.
For nonprofit organizations, we’ve made it quick and easy to find professionals who are eager to help. Use our free Advanced Search tool to find these talented needles in the haystack.
We took a closer look at the millions of LinkedIn members who’ve raised their hands for volunteer or board service, and found some interesting insights. For starters, the stereotype that millennials are hungry for purpose actually rings true. Also, the highest concentration of would-be volunteers are in the Midwest. And they have a ton of valuable skills – from strategic planning to marketing – for nonprofits to leverage.
Check out the infographic below for more, or visit nonprofit.linkedin.com.”
With a Few Bits of Data, Researchers Identify ‘Anonymous’ People
Natasha Singer in the New York Times: “Even when real names and other personal information are stripped from big data sets, it is often possible to use just a few pieces of the information to identify a specific person, according to a study to be published Friday in the journal Science.
In the study, titled “Unique in the Shopping Mall: On the Reidentifiability of Credit Card Metadata,” a group of data scientists analyzed credit card transactions made by 1.1 million people in 10,000 stores over a three-month period. The data set contained details including the date of each transaction, amount charged and name of the store.
Although the information had been “anonymized” by removing personal details like names and account numbers, the uniqueness of people’s behavior made it easy to single them out.
In fact, knowing just four random pieces of information was enough to reidentify 90 percent of the shoppers as unique individuals and to uncover their records, researchers calculated. And that uniqueness of behavior — or “unicity,” as the researchers termed it — combined with publicly available information, like Instagram or Twitter posts, could make it possible to reidentify people’s records by name.
“The message is that we ought to rethink and reformulate the way we think about data protection,” said Yves-Alexandre de Montjoye, a graduate student in computational privacy at the M.I.T. Media Lab who was the lead author of the study. “The old model of anonymity doesn’t seem to be the right model when we are talking about large-scale metadata.”
The analysis of large data sets containing details on people’s behavior holds great potential to improve public health, city planning and education.
But the study calls into question the standard methods many companies, hospitals and government agencies currently use to anonymize their records. It may also give ammunition to some technologists and privacy advocates who have challenged the consumer-tracking processes used by advertising software and analytics companies to tailor ads to so-called anonymous users online….(More).”
Waze a danger to cops? Police reveal their own location on social media
Study: Complaining on Twitter correlates with heart disease risks
Sam Machkovech at ArsTechnica: “Tweets prove better regional heart disease predictor than many classic factors. This week, a study was released by researchers at the University of Pennsylvania that found a surprising correlation when studying two kinds of maps: those that mapped the county-level frequency of cardiac disease, and those that mapped the emotional state of an area’s Twitter posts.
In all, researchers sifted through over 826 million tweets, made available by Twitter’s research-friendly “garden hose” server access, then narrowed those down to roughly 146 million tweets that had been posted with geolocation data from over 1,300 counties (each county needed to have at least 50,000 tweets to sift through to qualify). The team then measured an individual county’s expected “health” level based on frequency of certain phrases, using dictionaries that had been put through scrutiny over their application to emotional states. Negative statements about health, jobs, and attractiveness—along with a bump in curse words—would put a county in the “risk” camp, while words like “opportunities,” “overcome,” and “weekend” added more points to a county’s “protective” rating.
Not only did this measure correlate strongly with age-adjusted heart disease rate data, it turned out to be a more efficient predictor of higher or lower disease likelihood than “ten classical predictors” combined, including education, obesity, and smoking. Twitter beat that data by a rate of 42 percent to 36 percent….Psychological Science, 2014. DOI: 10.1177/0956797614557867 (About DOIs)….(More)”
At Universities, a Push for Data-Driven Career Services
Natasha Singer at The New York Times: “Officials at the University of California, San Diego, had sparse information on the career success of their graduates until they set up a branded page for the university on LinkedIn a couple of years ago.
“Back then, we had records on 125,000 alumni, but we had good employment information on less than 10,000 of them,” recalled Armin Afsahi, who oversees alumni relations as the university’s associate vice chancellor for advancement. “Aside from Qualcomm, which is in our back yard, we didn’t know who employed our alumni.”
Within three months of setting up the university page, LinkedIn connections surfaced information on 92,000 alumni, Mr. Afsahi said.
….
“The old models of alumni relations don’t work,” Mr. Afsahi said. “We have to be a data-driven, intelligence-oriented organization to create the engagement and value” that students and alumni expect.
In an article on Sunday, I profiled two analytics start-ups, EverTrue and Graduway, which aim to help colleges and universities identify their best prospective donors or student mentors by scanning their graduates’ social networking activities. Each start-up taps into LinkedIn profiles of alumni — albeit in different ways — to help institutions of higher education stay up-to-date with their graduates’ contact information and careers.
Since 2013, however, LinkedIn has offered its own proprietary service, called University Pages, where schools can create hubs for alumni outreach and networking. About 25,000 institutions of higher learning around the world now have official university pages on the site…(More).”
Charitable techies can now donate their skills to nonprofits in need
Springwise: “Technology is a mixed blessing for many of nonprofits. While apps such as SnapDonate and Charitweet make it easier than ever for people to make donations, tech development and upkeep can cost NGOs a lot of money which is desperately needed elsewhere.
With this in mind, a new platform called #charity is encouraging IT professionals to donate their time and specialist tech skills to nonprofits in need, helping those organizations to reduce costs and put the money back into their missions.
Charities of all sizes can list their IT needs, one project at a time, on #charity for free. Volunteers can sign up to the network and #charity will smartmatch them with the project that best suits their skills and interests — using an algorithm which scan’s participants LinkedIn profiles. #charity assign project managers to ensure the right people are in place and they also backup all the volunteers’ work on their platform in case they are not able to complete the task. Support is provided throughout for both parties — ensuring everyone’s experience is as smooth and efficient as possible.
#charity is set to launch in March. It currently has 350 participants on board and is accepting registration for early access. There are pilot programs underway involving Action Against Hunger, Moneythink and Syria Deeply….(More).”
Doing Social Network Research: Network-based Research Design for Social Scientists
New book by Garry Robins: “Are you struggling to design your social network research? Are you looking for a book that covers more than social network analysis? If so, this is the book for you! With straight-forward guidance on research design and data collection, as well as social network analysis, this book takes you start to finish through the whole process of doing network research. Open the book and you’ll find practical, ‘how to’ advice and worked examples relevant to PhD students and researchers from across the social and behavioural sciences. The book covers:
- Fundamental network concepts and theories
- Research questions and study design
- Social systems and data structures
- Network observation and measurement
- Methods for data collection
- Ethical issues for social network research
- Network visualization
- Methods for social network analysis
- Drawing conclusions from social network results
This is a perfect guide for all students and researchers looking to do empirical social network research…(More)”
Social Sensing and Crowdsourcing: the future of connected sensors
Conference Paper by C. Geijer, M. Larsson, M. Stigelid: “Social sensing is becoming an alternative to static sensors. It is a way to crowdsource data collection where sensors can be placed on frequently used objects, such as mobile phones or cars, to gather important information. Increasing availability in technology, such as cheap sensors being added in cell phones, creates an opportunity to build bigger sensor networks that are capable of collecting a larger quantity and more complex data. The purpose of this paper is to highlight problems in the field, as well as their solutions. The focus lies on the use of physical sensors and not on the use of social media to collect data. Research papers were reviewed based on implemented or suggested implementations of social sensing. The discovered problems are contrasted with possible solutions, and used to reflect upon the future of the field. We found issues such as privacy, noise and trustworthiness to be problems when using a distributed network of sensors. Furthermore, we discovered models for determining the accuracy as well as truthfulness of gathered data that can effectively combat these problems. The topic of privacy remains an open-ended problem, since it is based upon ethical considerations that may differ from person to person, but there exists methods for addressing this as well. The reviewed research suggests that social sensing will become more and more useful in the future….(More).”
The Internet of Anything: A Social Network for the World’s Online Sensors
Klint Finley in Wired: “When her oldest daughter was diagnosed with asthma last March, Yodi Stanton installed air pollution sensors around her London home. She wanted to see if there were links between her daughter’s attacks and the number of dirty particles in the air.
Ultimately, she wasn’t able to find a correlation. But maybe some else will find gold in this data. Instead of keeping it to herself, Stanton streamed the data to a public online service she helped create called OpenSensors.io, and from there, it can be accessed and analyzed by public health researchers, journalists, and other concerned citizens—or even feed into online applications that can make use of it.
OpenSensors is a service where anyone can publish real-time sensor data. Think of it as Twitter for sensors. You can publish a stream of data from virtually any source to the company’s computer servers—or subscribe to streams of data coming from others, using it for your own research, gadget, or online app…..(More)”.
Computer-based personality judgments are more accurate than those made by humans
Paper by Wu Youyou, Michal Kosinski and David Stillwell at PNAS (Proceedings of the National Academy of Sciences): “Judging others’ personalities is an essential skill in successful social living, as personality is a key driver behind people’s interactions, behaviors, and emotions. Although accurate personality judgments stem from social-cognitive skills, developments in machine learning show that computer models can also make valid judgments. This study compares the accuracy of human and computer-based personality judgments, using a sample of 86,220 volunteers who completed a 100-item personality questionnaire. We show that (i) computer predictions based on a generic digital footprint (Facebook Likes) are more accurate (r = 0.56) than those made by the participants’ Facebook friends using a personality questionnaire (r = 0.49); (ii) computer models show higher interjudge agreement; and (iii) computer personality judgments have higher external validity when predicting life outcomes such as substance use, political attitudes, and physical health; for some outcomes, they even outperform the self-rated personality scores. Computers outpacing humans in personality judgment presents significant opportunities and challenges in the areas of psychological assessment, marketing, and privacy…(More)”.