AI and Public Policy

Irving Wladawsky-Berger

The report is organized into three main sections: Section I described the key research trends influencing AI’s future; Section II examined the key economic sectors that are most likely to be impacted by AI; and Section III looked into issues surrounding AI and public policy.

The Competitive Value of Data: From Analytics to Machine Learning

Irving Wladawsky-Berger

A recent article by NY Times reporter Steve Lohr discussed the rising importance of data as a major competitive differentiator. In his NY Times article , Lohr cautions that standard antitrust arguments may not be so easy to make in this new era of data competition.

Trending Sources

The Big Data Era Is Here

Irving Wladawsky-Berger

During the meeting, the TRB Executive Committee held a policy session on the impact of big data on transportation systems. Big data and related information-based disciplines, - e.g., data science , artificial intelligence , - are everywhere. Insight vs Data Volume.

Data 72

Uber’s pending sale of your personal data

Doc Searls

Uber may, in Uber’s sole discretion, permit you from time to time to submit, upload, publish or otherwise make available to Uber through the Services textual, audio, and/or visual content and information, including commentary and feedback related to the Services, initiation of support requests, and submission of entries for competitions and promotions (“User Content”). As I read that, they have sale on personal data pending until that time.

Data 58

International Organizations and Social Media: News, Engagement, and Social Data for Policy Change

Beth Kanter

Not every student in my class is focused on the same policy issue. They will be placed with organizations working on policies in these areas, many part of large international networks, nonprofits, and government. Citizen Digital Engagement in Policy Discussions and Action.

Informal rule of thumb

Harold Jarche

Studies show that informal learning accounts for between 70 and 95% of workplace learning [USBLS: 70%; Raybould: 95%; EDC: 70%; CapitalWorks: 75%; OISE: 70%; eLG: 70%; Allen Tough: 80%]. I have previously referred to Gary Wise and his extrapolation of Josh Bersin’s data from 2009.

In Defense of Data Centrism

Martijn Linssen

Home About Complexity Reading List Knowledge Management Reading List In Defense of Data Centrism John 0 comments Education System Dec 23 In the never ending search to know “what works,” we have a few choices. We can look to theories, i.e., this ‘should’ work; or we can look to data.

Data 34

Human-AI Decision Systems

Irving Wladawsky-Berger

In modern societies, decision systems provide a leader the ability to make informed and timely decisions, supported by a complex enterprise of distributed information and communication systems that provide situational awareness.

Where is Technology Taking the Economy

Irving Wladawsky-Berger

It’s brought us smartphones, ubiquitous sensors, IoT devices and oceans and oceans of data. Suddenly, the advent of the printing press made it possible to externalize all that information. I recently read Where is Technology Taking the Economy? , an article in McKinsey Quarterly by W.

Strata Conference Wrap Up: Big Data, Big Opportunities

George Siemens

Overall, it was a good conference and one that serves an important marking point in “big data comes of age&# in terms of media attention, startups, and recognition of potential impact in business sector. O’Reilly has stated that “data is the new Intel inside&#.

Data 52

New and Improved Data Visualization Tool: Maps for Media Funding

Beth Kanter

Nonprofit data nerds will love this new resource from Media Impact Funders and Foundation Center called “ Foundation Maps for Media Funding ,” a free, interactive mapping and research tool that shows the full scope of philanthropically funded media projects worldwide since 2009.

Data 22

[2b2k][everythingismisc]“Big data for books”: Harvard puts metadata for 12M library items into the public domain

David Weinberger

Harvard University has today put into the public domain (CC0) full bibliographic information about virtually all the 12M works in its 73 libraries. The University also provided the data to the Digital Public Library of America’s prototype platform for programmatic access via an API. The aim is to make rich data about this cultural heritage openly available to the Web ecosystem so that developers can innovate, and so that other sites can draw upon it.

Rethinking Personal Data

Irving Wladawsky-Berger

In 2010, the World Economic Forum (WEF), launched a project on Rethinking Personal Data. The project brought together experts from business, government, academia and end user privacy and rights groups to examine the challenges and opportunities involved in properly managing the explosive growth of personal data in the digital world. In January of 2011 they published their first report, - Personal Data: the Emergence of a New Asset Class. .

Creating A Culture of Continuous Improvement Based On Data

Beth Kanter

I’m always on the look out for useful and thought provoking resources on how nonprofits can use data to make better decisions that lead to greater impact. Alternatively, there may bean emphasis on collecting more data than is necessary, but no one relates it to decision making.

The massive impact on economic growth of open data in government

Ross Dawson

I was very pleased to see today’s launch of the report Open for Business: How Open Data Can Help Achieve the G20 Growth Target , from Nicholas Gruen’s Lateral Economics , commissioned by Omidyar Networks , the philanthropic organization of eBay founder Pierre Omidyar.

Data 52

Personal Health Data: It’s Amazing Potential and Privacy Perils

Beth Kanter

This is a graph of aggregate data from Jawbone,a wristband that people wear that tracks their steps throughout the day and their sleep patterns during the night. (h/t ” The Jawbone has previously put out aggregate data reports around sleep habits of those that wear its device.

Data 22

NTC: Data Visualization Panel

Beth Kanter

NTC 2012: Data Visualizaiton Panel. I am on a panel about measurement: Picturing Your Data is Better Than 1,000 Numbers:Data Visualization Techniques for Social Change. Are you interested in what it takes for an organization to systematically use data?

Data 19

Data Science and the Changing Nature of Research and Innovation

Irving Wladawsky-Berger

The study examined the current state of US research and innovation; looked at the role of its key players: academia, industry, and government; and proposed a set of recommendations to better address the highly complex challenges we face in the 21st century information economy.

[berkman] From Freedom of Information to Open data … for open accountability

David Weinberger

Heusser [ pdf ] is giving a Berkman lunchtime talk called “Open Data for Open Accountability.” Omitting key information. The Web is making the Freedom of Information Act (FOIOA) obsolete. An open data policy is necessary to keep freedom of information up to date, and to move toward open accountability. One of the cornerstones of transparency policy is freedom of information regulation. It relies on open data. Filipe L.

Has AI (Finally) Reached a Tipping Point?

Irving Wladawsky-Berger

The first such Study Panel, launched a year ago, was comprised of AI experts from academia, corporate laboratories and industry as well as AI-savvy scholars in law, political science, policy, and economics.

Tips 72

Beyond GDP - Measuring Value in a Service-oriented, Information-based, Digital Economy

Irving Wladawsky-Berger

Most measures of economic performance used by government officials to inform their policies and decisions are based on GDP figures. what are good policies by looking at what policies have promoted. Thousands of new information goods and services are introduced each year.

Unlocking Data for Philanthropy: Notes from Global Philanthropy Forum Session

Beth Kanter

The annual conference helps inform, enable and enhance the strategic nature of their work. This year’s conference, “The Future We Make” had four themes – strategic philanthropy, modern day slavery, agriculture and nutrition, and education, learning, and employment.

Data 18

The Future of Financial Services

Irving Wladawsky-Berger

Given its intangible character, it’s not surprising that advances in information and communication technologies (ICT) have in turn led to advances in the way we deal with money and payments, as well as with identity, trust and other key attributes of a well-functioning financial system.

Securing the Foundations of our Digital Economy

Irving Wladawsky-Berger

This transition has significantly accelerated over the past decade with the advent of billions of smartphones, tens of billions of IoT devices and huge amounts of data, all now connected via Internet-based broadband networks.

[liveblog] Noam Chomsky and Bart Gellman at Engaging Data

David Weinberger

I’m at the Engaging Data 2013 conference where Noam Chomsky and Pulitzer Prize winner (twice!) Barton Gellman are going to talk about Big Data in the Snowden Age, moderated by Ludwig Siegele of the Economist. The conference aims at having us rethink how we use Big Data and how it’s used. Omitting key information. I’ve been writing articles that are pretty skeptical about Big Data. We can find lots of data; the problem is understanding it.

The Continuing Evolution of Service Science

Irving Wladawsky-Berger

This blind spot threatens to hinder the development of effective innovation policies and the development of new business models and practices…”. Analytics and Data Science. Data centers have now become the production plants of cloud-based services.

[liveblog] Data & Technology in Government

David Weinberger

Part of the importance of this is that students at the Kennedy School are agitating for a much strong technology component to their education on the grounds that these days policy makers need to be deeply cognizant of the possibilities technology offers, and of the culture of our new technology development environment. DJ Patil, the first US Chief Data Science, five days into his tenure. Lynn Overmann – Deputy Chief Data Officer, US Dept. Omitting key information.

The Digital Evolution Index

Irving Wladawsky-Berger

Institutional Environment : Are government policies and regulations facilitating the creation of digital ecosystems? The report includes a number of insights based on the digital evolution data and the distinct patterns of each evolution zone. .

The Public Face of Science

Irving Wladawsky-Berger

But recent polling data, - and in particular, a recent study conducted by the Pew Research Center , - reveals a more complex relationship between the public and science. How well informed is the general public on science-related issues?

The Prosperity Puzzle

Irving Wladawsky-Berger

Most measures of economic performance used by government officials to inform their policies and decisions are based on GDP figures, including setting taxes, fixing unemployment and managing inflation. Thousands of new information goods and services are introduced each year.

Understanding the Workings of Our Minds

Irving Wladawsky-Berger

Advances in technology , big data and analytics hold the promise to significantly augment our judgement and expertise and help us make smarter, more effective decisions. However, due to their huge stores of data and powerful analytics, the machines can provide System 2-like results. .

Does giving teachers bonuses improve student performance.

Dan Pink

One of the hottest ideas in education policy these days is tying teacher pay to student performance on standardized tests. It was fed by a policy that had nothing to do with education. If you look up his name, you’re sure to find more information about the school. Dan Pink.

Class 31

Bridging the World’s Knowledge Divide: Technology + Competition, Skills and Institutions

Irving Wladawsky-Berger

A few months ago I attended the 12th annual Brookings Blum Roundtable on Global Poverty , a meeting that brought together around 50-60 policy and technical experts from government, academia, business, investors and NGOs.

Network Learning: Working Smarter

Harold Jarche

Tweet “In the period ahead of us, more important than advances in computer design will be the advances we can make in our understanding of human information processing – of thinking, problem solving, and decision making…” ~ Herbert Simon, Economics Nobel-prize winner (1968).

New Technology Supporting Informal Learning

Stephen Downes: Half an Hour

This work, in turn, is suggesting and supporting the model of learning described in the first section, that of a course network supporting and informing an ever-shifting set of course episodes. In business, this means that salespeople and customer service representatives must determine marketing policy. This is the basis for the models and strategies that characterize what has come to be called informal learning. IMS Learning Design Information Model.

[liveblog][bkc] Paola Villarreal on Public Interest in Data Science

David Weinberger

I’m at a Berkman Klein Center lunch time talk by Paola Villarreal [twitter: paw ], a BKC fellow, on “Public Interest in Data Science.” Omitting key information. Public interest, she says, is the effecting of changes in social policies in the interest of the public, especially for the underdog. Data science extracts knowledge and insight from data in various forms, using math, statistics, research, info science and computer science.

Notes About Mobile, Digital Trends, and Social Media Leadership from Knight Digital Media Center Workshop

Beth Kanter

The workshop topics included trends in digital media consumption, social media, engagement on mobile devices and a variety of community foundation projects funded by the Knight Community Information Challenge. Mobile is carried around and dependent on having the information in the moment.

Crisis Text Line Opens Nation’s Largest Set of Crisis Data for Limited Research

Beth Kanter

Nancy Lublin, who was CEO at the time, hosted a book party for “ Measuring the Networked Nonprofit ” and during a tour of the office, she introduced me to Bob Filbin, DoSomething’s Data Scientist at the time. Nancy said, “Bob, show her the crisis text line data set.”

… and nearer to the Dust

Dave Snowden

One of the deeply negative aspects of the knowledge management period of a decade or more ago was the gross confusion of information with knowledge. Now this was in the early days of data analytics, we were just getting started with key word searches and the like.

Beta, data and more

Harold Jarche

— Why you need to understand political policy by @cognitivepolicy via@drmcewan. This relates to a common psychological phenomenon called “ confirmation bias ” which refers to the tendency to be overly critical of information that challenges what one believes to be true (or the tendency to uncritically accept information that supports one’s belief).