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Lisa Levinson

Architecting for Data | Stanford Social Innovation Review - 0 views

www.ssireview.org/...architecting_for_data

womenslearningstudio WLStudio data stanford social innovation review data_culture

shared by Lisa Levinson on 03 Aug 15 - No Cached
  • Lisa Levinson on 03 Aug 15
     
    by Rahul Bhargava in the summer issue. Nice article on effective use of data for organizations. He stresses that "to use data effectively, orgs need architecture - people, process, and technology-driven structures that support the effective and intentional use of data to further their mission - for data management, data security, data culture, and data use." Nice use of graphic icons to simplify most sections.
  • Lisa Levinson on 03 Aug 15
     
    by Rahul Bhargava in the summer issue. Nice article on effective use of data for organizations. He stresses that "to use data effectively, orgs need architecture - people, process, and technology-driven structures that support the effective and intentional use of data to further their mission - for data management, data security, data culture, and data use." Nice use of graphic icons to simplify most sections.
Doris Reeves-Lipscomb

David McCandless: The beauty of data visualization | TED Talk | TED.com - 0 views

www.ted.com/...e_beauty_of_data_visualization

data data visualization McCandless infographics womenslearningstudio

shared by Doris Reeves-Lipscomb on 17 May 16 - No Cached
  • Doris Reeves-Lipscomb on 17 May 16
     
    "Data is the new soil."  instead of "Data is the new oil."  "titanic amount of data" "dormant design literacy" "need relative figures related to other data" to understand data "scraping data" "Data visulization is form of data compression" "douche" is term he uses to show implosion as well as creation or combinations of data well worth watching
Doris Reeves-Lipscomb

Sticky data: Why even 'anonymized' information can still identify you - The Globe and Mail - 0 views

www.theglobeandmail.com/...article19918717

data globe Braga privacy big_data womenslearningstudio

shared by Doris Reeves-Lipscomb on 28 Jul 15 - No Cached
  • This isn’t the first time this has happened, that big data sets full of personal information – supposedly obscured, or de-identified, as the process is called – have been reverse engineered to reveal some or even all of the identities contained within. It makes you wonder: Is there really such a thing as a truly anonymous data set in the age of big data?
  • That might sound like a bore, but think about it this way: there’s more than taxi cab data at stake here. Pretty much everything you do on the Internet these days is a potential data set. And data has value. The posts you like on Facebook, your spending habits as tracked by Mint, the searches you make on Google – the argument goes that the social, economic and academic potential of sharing these immensely detailed so-called “high dimensional” data sets with third parties is too great to ignore.
  • University of Colorado Law School associate professor Paul Ohm’s 2009 paper on the topic made the bold claim that “data can be either useful or perfectly anonymous but never both.”
  • ...1 more annotation...
  • A similar situation was cited by Princeton University researchers Arvind Narayanan and Edward W. Felten in a recent response to Cavoukian and Castro. The pair wrote that, in one data set where location data had supposedly been anonymized, it was still possible in 95 per cent of test cases to re-identify users “given four random spatio-temporal points” – and 50 per cent if the researchers only had two. In other words, de-identifying location data is moot if you know where a target lives, where they work and have two other co-ordinates they visit with regularity.
  • Doris Reeves-Lipscomb on 28 Jul 15
     
    post by Matthew Braga as special to The Globe and Mail, 8/6/14 on how deidentified data can be hacked to reveal identities of users.
Lisa Levinson

Architecting for Data | Stanford Social Innovation Review - 1 views

ssir.org/...architecting_for_data

womenslearningstudio WLStudio data social innovation stanford review

shared by Lisa Levinson on 06 Aug 15 - No Cached
  • Lisa Levinson on 06 Aug 15
     
    Four ways nonprofits can cut through the data hype and start using data on purpose. Architecture for Data Management, Architecture for Data Security, Architecture for Building a Data Culture, Architecture for Data Use.
Doris Reeves-Lipscomb

Living by the Numbers: A Tyranny of Data? - SPIEGEL ONLINE - 0 views

www.spiegel.de/...nto-the-future-a-899964-7.html

tyranny data spiegel online womenslearningstudio

shared by Doris Reeves-Lipscomb on 28 Jul 15 - No Cached
  • So far, many companies have tried to dispel such fears by noting that the data they gather, store and analyze remains "anonymous." But that, as it turns out, is not entirely accurate, in that it sells the power of data analysis radically short. Take the analysis of anonymous movement profiles, for example. According to a current study by the online journal Scientific Reports, our mobility patterns are so different that that they can be used to "uniquely identify 95 percent of the individuals." The more data is in circulation and available for analysis, the more likely it is that anonymity becomes "algorithmically impossible," says Princeton computer scientist Arvind Narayanan. In his blog, Narayanan writes that only 33 bits of information are sufficient to identify a person.
  • A study by New York advertising agency Ogilvy One concludes that 75 percent of respondents don't want companies to store their personal data, while almost 90 percent were opposed to companies tracking their surfing behavior on the Internet.
  • Is it truly desirable for cultural assets like TV series or music albums to be tailored to our predicted tastes by means of data-driven analyses? What happens to creativity, intuition and the element of surprise in this totally calculated world?
  • ...2 more annotations...
  • But for a modern society, an even more pressing question is whether it wishes to accept everything that becomes possible in a data-driven economy. Do we want to live in a world in which algorithms predict how well a child will do in school, how suitable he or she is for a specific job -- or whether that person is at risk of becoming a criminal or developing cancer?
  • Users, of course, "voluntarily" relinquish their data step by step, just as we voluntarily and sometimes revealingly post private photos on Facebook or air our political views through Twitter. Everyone is ultimately a supplier of this large, new data resource, even in the analog world, where we use loyalty cards, earn miles and rent cars.
  • Doris Reeves-Lipscomb on 28 Jul 15
     
    #7 in a series on big data by Martin Muller, Marcel Rosenback and Thomas Schulz
Doris Reeves-Lipscomb

The Art of Data Visualization | Off Book | PBS - YouTube - 0 views

www.youtube.com/watch

video Youtube data visualization Off_Book PBS WomensLearningStudio

shared by Doris Reeves-Lipscomb on 10 Jun 13 - No Cached
  • Doris Reeves-Lipscomb on 10 Jun 13
     
    Video on YouTube, posted May 9, 2013. "Style and aesthetics cannot rescue failed content." "Google Maps are visualization" helping people do something. "History of visualizing data is history of science" Not an aerie-faerie "Three things to inform your design--what you have to say and communicate, reader is not you and they will come with their own bias and assumptions, and data itself and what it has to say." Can communicate a lot of information very quickly--emotional impact, react to aesthetics of piece, presenting information in visual format is fastest way for them to engage with information." "Successful infographic tells a story. "Hero is one key element of piece." "Take complicated data and convert to something simple. Hours to seconds..." "Data are measurements of something" "Revelation--show us something we haven't seen before"
Doris Reeves-Lipscomb

Manager and machine: The new leadership equation | McKinsey & Company - 0 views

www.mckinsey.com/...manager_and_machine

online leadership McKinsey executives technology soft_skills womenslearningstudio

shared by Doris Reeves-Lipscomb on 16 Sep 14 - No Cached
  • Doris Reeves-Lipscomb on 16 Sep 14
     
    article by Martin Dewhurst and Paul Willmott, September 2014 on new leadership skills required in age of new information technologies Machines force executives and senior leaders to: 1. open up their companies through crowdsourcing and social platforms within and across organizational boundaries 2. create data sets worthy of the most intelligent machines 3. "let go" in ways that run counter to a century of OD 4. executives...able to make the biggest difference through the human touch. ...questions they frame, their vigor in attaching exceptional circumstances highlighted by increasingly intelligent algorithms ... tolerating ambiguity and focusing on the "softer" side of management to engage the organization and build its capacity for self-renewal. 5. turbocharged data-analytics strategy, a new top-team mind-set, fresh talent approaches, and a concerted effort to break down information silos...transcend number crunching..."weak signals" from social media and other sources also contain powerful insights and should be part of the data-creation process. 6. ...early movers will probably gain insights of unstructured data, such as email discussions between representatives or discussion threads in social media. 7. ...dashboards don't create themselves. Senior executives must find and set the software parameters needed to determine, for instance, which data gets prioritized and which gets flagged for escalation. 8. ...odds of sinking under the weight of even quite valuable insights grow as well. Answer: democratizing it: encouraging and expecting the organization to manage itself without bringing decisions upward. ...business units and functions will be able to make more and better decisions on their own. 9. 8 will happen even as the CEO begins to morph into a "chief experimentation officer," who draws from acute observance of early signals to bolster a company's ability to experiment at scale. 10. need to "let go" will be more significant and the discomfort of s
Doris Reeves-Lipscomb

Big Data vs. Big Brother - InFocusInFocus - 0 views

infocus.emc.com/...big-data-vs-big-brother

data alogrithm Dietrich CSAIL MIT womenslearningstudio

shared by Doris Reeves-Lipscomb on 27 Jul 15 - No Cached
  • This may be oversimplifying, but the nuance with privacy is that it’s not just about securing personally identifiable information (PII), it’s also about considering what other related pieces of information could be used together to infer PII. Therefore, you need to be very careful about the information you share, and the intentions of the people who collect it.
  • but the nuance with privacy is that it’s not just about securing personally identifiable information (PII), it’s also about considering what other related pieces of information could be used together to infer PII. Therefore, you need to be very careful about the information you share, and the intentions of the people who collect it.
  • As we train people to become Data Scientists and design sophisticated algorithms, I encourage practitioners and leaders to consider the trade offs between utility and privacy. This is a new, emerging and complex area, and I’ll explore it further in future posts.
  • Doris Reeves-Lipscomb on 27 Jul 15
     
    blog post by David Dietrich, June 25, 2013, director of technical marketing for the big data solutions group at EMC, founder of an initiatve at MIT, big data@CSAIL on how privacy is sacrificed online because of big data collection and algorithms that can figure out profiles based on seemingly unrelated information.
Doris Reeves-Lipscomb

Big Data should not be a faith-based initiative - Boing Boing - 0 views

boingboing.net/...ata-should-not-be-a-faith.html

big_data privacy Doctorow boingboing blog

shared by Doris Reeves-Lipscomb on 28 Jul 15 - No Cached
  • Princeton's Arvind Narayanan and Ed Felten have published a stinging rebuttal, pointing out the massive holes in Cavoukian and Castro's arguments -- cherry picking studies, improperly generalizing, ignoring the existence of multiple re-identification techniques, and so on.
  • Cavoukian and Castro are rightly excited by Big Data and the new ways that scientists are discovering to make use of data collected for one purpose in the service of another. But they do not admit that the same theoretical advances that unlock new meaning in big datasets also unlock new ways of re-identifying the people whose data is collected in the set.
  • Re-identification is part of the Big Data revolution: among the new meanings we are learning to extract from huge corpuses of data is the identity of the people in that dataset. And since we're commodifying and sharing these huge datasets, they will still be around in ten, twenty and fifty years, when those same Big Data advancements open up new ways of re-identifying -- and harming -- their subjects.
  • Doris Reeves-Lipscomb on 28 Jul 15
     
    Incisive post by Cory Doctorow citing various studies by computer scientists on how claims to successfully "de-identification" of large sets of data do not hold up on closer examination and actual incidence. Cites Arvind Narayanan and Ed Felten's studies.
Doris Reeves-Lipscomb

Big Data Enables Companies and Researchers to Look into the Future - SPIEGEL ONLINE - 0 views

www.spiegel.de/...-into-the-future-a-899964.html

spiegel online data algorithms womenslearningstudio

shared by Doris Reeves-Lipscomb on 28 Jul 15 - No Cached
  • The expression "Big Brother" has become dated. Experts would seem to have reached consensus on the term "Big Data" to describe the new favorite topic of discussion in boardrooms, at conventions like Berlin's re:publica last week, and in a number of new books. Big Data promises both total control and the logical management of our future in all aspects of life.
  • New is the way companies, government agencies and scientists are now beginning to interpret and analyze their data resources. Because storage space costs almost nothing nowadays, computers, which are getting faster and faster, can link and correlate a wide variety of data around the clock. Algorithms are what create order from this chaos. They dig through, discovering previously unknown patterns and promptly revealing new relationships, insights and business models. Though the term Big Data means very little to most people, the power of algorithms is already everywhere. Credit card companies can quickly recognize unusual usage patterns, and hence automatically warn cardholders when large sums are suddenly being charged to their cards in places where they have never been. Energy companies use weather
  • According to official figures, since the Swedish capital Stockholm began using algorithms to manage traffic, drive times through the city's downtown area have been cut in half and emissions reduced by 10 percent. Online merchants have recently started using the analyses to optimize their selling strategies. The widespread phrase "Customers who bought this item also bought …" is only one example of the approach.
  • Doris Reeves-Lipscomb on 28 Jul 15
     
    Beginning of a series on big data, algorithms, and some consequences by Martin Muller, Marcel Rosenbach, and Thomas Schulz in Spiegel Online International, May 17, 2013
Doris Reeves-Lipscomb

What your phone calls might say about your health | The Advisory Board Daily Briefing - 0 views

www.advisory.com/...ls-might-say-about-your-health

meta_data data_mining data algorithm womenslearningstudio

shared by Doris Reeves-Lipscomb on 27 Jul 15 - No Cached
  • Government surveillance programs point up new data-mining concerns. But the NSA monitoring programs focus on collecting "meta" data—not the actual procedures you've undergone, but merely the records of things you searched for online, or people you telephoned. What can this metadata reveal? Plenty about your health, experts argue; simply knowing who you're calling can be just as revealing as what you say. If you can track a series of calls, one privacy expert tells tells the New Yorker's Jane Mayer, "you know exactly what is happening—you don’t need the content.”
  • David Vladeck began an inquiry into data brokers' practices, concerned that algorithms that mined for data patterns could create unfair stereotypes. (Vladeck recently stepped down.) For example, "whether someone would be classified as a health risk just because they bought products linked to an increased chance of heart attack," the Associated Press reports.
  • Doris Reeves-Lipscomb on 27 Jul 15
     
    blog by Dan Diamond, Managing Editor, Daily Briefing, June 9, 2013, on data mining using meta data.
Doris Reeves-Lipscomb

A Family-Friendly Policy That's Friendliest to Male Professors - The New York Times - 0 views

www.nytimes.com/...t-women-at-a-disadvantage.html

policy parental_leave economists academia lean-in womenslearningstudio

shared by Doris Reeves-Lipscomb on 14 Jul 16 - No Cached
  • They have advanced the careers of male economists, often at women’s expense
  • The central problem is that employment policies that are gender-neutral on paper may not be gender-neutral in effect.
  • Succeed within seven years and you have a job for life. Fall short, and you’re fired.
  • ...5 more annotations...
  • The policies led to a 19 percentage-point rise in the probability that a male economist would earn tenure at his first job. In contrast, women’s chances of gaining tenure fell by 22 percentage points. Before the arrival of tenure extension, a little less than 30 percent of both women and men at these institutions gained tenure at their first jobs. The decline for women is therefore very large.
  • They found that men who took parental leave used the extra year to publish their research, amassing impressive publication records. But there was no parallel rise in the output of female economists.
  • ng birth is not a gender-neutral event,” recalling that during her pregnancy, “I threw up every day.” She argued, “Policies that are neutral in the eyes of a lawyer are not neutral in fact.”
  • Better policies could help economics — not to mention the sciences and other fields — look like less of a boys’ club.
  • Three female economists have shown that the tools of economics — which enable a careful assessment of incentives and constraints informed by real-world data — suggest that a more nuanced policy would lead to better outcomes. It leaves me wondering how many other policy mistakes we could avoid, if only we had more female economists.
  • Doris Reeves-Lipscomb on 14 Jul 16
     
    informed assessment/report by Justin Wolfers, NYTimes, on how extending parental leave policies cause unintended impacts
Doris Reeves-Lipscomb

When Big Data Marketing Becomes Stalking - Scientific American - 0 views

www.scientificamerican.com/...ata-marketing-becomes-stalking

big_data privacy Scientific_American Crawford womenslearningstudio

shared by Doris Reeves-Lipscomb on 28 Jul 15 - No Cached
  • but we do know that third-party data brokers sell all manner of information to businesses, including “police officers’ home addresses, rape sufferers, and genetic disease sufferers” as well as suspected alcoholics and cancer and HIV/AIDS patients.
  • The first is that almost everything is personal. In the words of computer scientists Arvind Narayanan (Princeton
  • this model simply doesn’t reflect the reality of the deeply unequal situation we now face. Those who wield the tools of data tracking and analytics have far more power than those who don’t.
  • ...2 more annotations...
  • narrow focus on individual responsibility is not enough. The scale of the problem far exceeds the individual: it is systemic. We are now faced with large-scale experiments on city streets where people are in a state of forced participation, without any real ability to negotiate the terms, and often without the knowledge their data is being collected.
  • We need a sweeping debate about ethics, boundaries and regulation for location data technologies.
  • Doris Reeves-Lipscomb on 28 Jul 15
     
    Great article on inability of big data marketing brokers failing to regulate themselves by Kate Crawford, January 28, 2014. Individuals can do little to protect themselves or opt-out.
Lisa Levinson

Big Data Will Change Our World - YouTube - 0 views

www.youtube.com/watch

big data will change world youtube WLStudio

shared by Lisa Levinson on 12 Jul 13 - No Cached
  • Lisa Levinson on 12 Jul 13
     
    Great YouTube on what big data is, how it is being used now, and what it will become. Also shows how 1 person can generate a huge amount of big data, and how it will increase exponententially over the next 10 years.
  • Lisa Levinson on 12 Jul 13
     
    Great video on the concept and use of big data
Doris Reeves-Lipscomb

Pinterest: Why Your Company Should Take An Interest - The BrainYard - - 0 views

www.informationweek.com/...ompany-should-take-an-interest

Pinterest Donston-Miller WLStudio blog_post

shared by Doris Reeves-Lipscomb on 13 Mar 13 - No Cached
  • Doris Reeves-Lipscomb on 13 Mar 13
     
    Explores value of Pinterest for business, Donston-Miller, March 6, 2012. Pinterest users are heavily women and younger (ages 25-44) Assessment: "Companies are finding themselves challenged to effectively marshal their externally facing social networking efforts, and most are likely focusing on Facebook and Twitter. So, with resources at a premium, should your company be paying attention to upstart social network Pinterest right now? The short answer is yes." Pinterest experiencing huge growth and now drives more traffic to Real Simple website than Facebook does. Caveat: Pinterest user boards overwhelmingly focus on food, fashion, home decor, and hobbies, things that are visual and usually visually appealing. "Pinterest is best used to inspire or remind... looking at capitalizing on Pinterest as a gift registry ...even if your company doesn't make or promote something highly visual ...it probably has something that can be visualized and put into context... data ...house infographics--things like data sets, visualization of data.... even with something like a technology company, there are always ways to visualize information in an engaging way."
Doris Reeves-Lipscomb

Markets for Good Workshop - Between the Dashboard and the Chair - 0 views

www.slideshare.net/...en-the-dashboard-and-the-chair

dashboard workshop experiment edutopia Kanter Slideshare womenslearningstudio

shared by Doris Reeves-Lipscomb on 08 Jun 14 - No Cached
  • Doris Reeves-Lipscomb on 08 Jun 14
     
    Slide 22 on Edutopia Experiment Workshop very interesting for planning and learning from experiments--What; Audience; Hypothesis; Data to prove or disprove; What are the steps to implement, collect data, analyze data, and reflect on it by ??? What did you learn? What will change to be more effective or efficient in your work? What is the design of your next experiment?
Lisa Levinson

2014 Internet Trends - Kleiner Perkins Caufield Byers - 0 views

www.kpcb.com/internet-trends

WLStudio trends kpcb 2014 report mobile statistics Mary Meeker

shared by Lisa Levinson on 15 Jul 14 - No Cached
  • Lisa Levinson on 15 Jul 14
     
    Full report by Mary Meeker from KPCB May 2014. Chock full of data, graphs, charts of internet use, trends, devices. According to the data, internet growth is slow, smartphones had strong growth but it is slowing, tablets had a 52% early stage rapid growth, and mobile data traffic is a +81% accelerating growth with video the strongest driver. The near future is in tablet and mobile technology, not internet and pc use.
Doris Reeves-Lipscomb

Living by the Numbers: The End of Inspector Chance - SPIEGEL ONLINE - 0 views

www.spiegel.de/...nto-the-future-a-899964-5.html

algorithm spiegel big_data womenslearningstudio crime detection

shared by Doris Reeves-Lipscomb on 28 Jul 15 - No Cached
  • Two professors, computer scientist George Mohler and anthropologist Jeffrey Brantingham, who specializes in crime scenarios, were instrumental in developing the predictive method of fighting crime. Their program is based on models for predicting the aftershocks of earthquakes.
  • The two data experts, Mohler and Brantingham, have since started a company and are marketing their product, Predictive Policing, worldwide
  • "Security is one of the biggest growth areas for Big Data applications," says Schröder. In addition to crime and terrorism, Splunk focuses on the growing number of attacks in, and by means of, the Internet and its software can detect hacker attacks or other cyber attacks. "We are positioning ourselves for an expanding cyber war," Schröder says. But the data hunters' new war also has many civilian aspects.
  • Doris Reeves-Lipscomb on 28 Jul 15
     
    part of a series on Big Data, Spiegel
Doris Reeves-Lipscomb

Data-Crunched Democracy - 0 views

datapolitics.jomc.unc.edu

democracy data_mining crunching_data big data politics elections womenslearningstudio

shared by Doris Reeves-Lipscomb on 12 Aug 15 - No Cached
  • Doris Reeves-Lipscomb on 12 Aug 15
     
    This is a great site on #datapolitics, data mining to attract and influence votes in presidential elections. (goes with my interest in big data/algorithms) What is also neat is the 2.5 minute video used to explain a conference that was then upcoming in 2013. It has two people in two locations each raising the issues to be the focus of the conference. Well done mini-course or bite-size advertising.
Lisa Levinson

Company Envisions 'Vaults' for Personal Data - NYTimes.com - 0 views

www.nytimes.com/...-vaults-for-personal-data.html

identity WLStudio personal data

shared by Lisa Levinson on 09 Dec 12 - No Cached
  • Lisa Levinson on 09 Dec 12
     
    Creating a vault to store your personal online data to preserve and manage your digital identity.
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