social media

How tech is forcing firms to be better global citizens

Curated on March 8, 2016August 15, 2018 by Stefaan Verhulst

Catherine Lawson at the BBC: “…technology is forcing companies to up their game and interact with communities more directly and effectively….

Platforms such as Kritical Mass have certainly given a fillip to the idea of crowd-supported philanthropy, attracting individuals and corporate sponsors to its projects, whether that’s saving vultures in Kenya or bringing solar power to rural communities in west Africa.

Sponsors can offer funding, volunteers, expertise or marketing. So rather than imposing corporate ideas of “do-gooding” on communities in a patronising manner, firms can simply respond to demand.

HelpfulPeeps has pushed its volunteering platform into more than 40 countries worldwide, connecting people who want to share their time, knowledge and skills with each other for free.

In the UK, online platform Neighbourly connects community projects and charities with companies and people willing to volunteer their resources. For example, Starbucks has pledged 2,500 days of volunteering and has so far backed 70 community projects….

Judging by the strong public appetite for supporting good causes and campaigning against injustice on sites such as Change.org, Avaaz.org, JustGiving andGoFundMe, his assessment appears to be correct.

And LinkedIn says millions of members have signalled on their profiles that they want to serve on a non-profit board or use their skills to volunteer….

Tech companies in particular are offering expertise and skills to good causes as way of making a tangible difference.

For example, in January, Microsoft announced that through its new organisation,Microsoft Philanthropies, it will donate $1bn-worth (£700m) of cloud computing resources to serve non-profits and university researchers over the next three years…

And data analytics specialist Applied Predictive Technologies (APT) has offered its data-crunching skills to help the Capital Area Food Bank charity distribute food more efficiently to hungry people around the Washington DC area.

APT used data to develop a “hunger heat map” to help CAFB target resources and plan for future demand better.

In another project, APT helped The Cara Program – a Chicago-based charity providing training and job placements to people affected by homelessness or poverty – evaluate what made its students more employable….

And Launch, an open platform jointly founded by Nasa, Nike, the US Agency for International Development, and the US Department of State aims to provide support for start-ups and “inspire innovation”.

In the age of internet transparency, it seems corporates no longer have anywhere to hide – a spot of CSR whitewashing is not going to cut it anymore….(More)”.

Visualizing Potential Outbreaks of the Zika Virus

Curated on March 7, 2016May 29, 2019 by Stefaan Verhulst

Google’s Official Blog: “The recent Zika virus outbreak has caused concern around the world. We’ve seen more than a 3,000 percent increase in global search interest since November, and last month, the World Health Organization (WHO) declared a Public Health Emergency. The possible correlation with Zika, microcephaly and other birth defects is particularly alarming.

But unlike many other global pandemics, the spread of Zika has been harder to identify, map and contain. It’s believed that 4 in 5 people with the virus don’t show any symptoms, and the primary transmitter for the disease, the Aedes mosquito species, is both widespread and challenging to eliminate. That means that fighting Zika requires raising awareness on how people can protect themselves, as well as supporting organizations who can help drive the development of rapid diagnostics and vaccines. We also have to find better ways to visualize the threat so that public health officials and NGO’s can support communities at risk….

A volunteer team of Google engineers, designers, and data scientists is helping UNICEF build a platform to process data from different sources (i.e., weather and travel patterns) in order to visualize potential outbreaks. Ultimately, the goal of this open source platform is to identify the risk of Zika transmission for different regions and help UNICEF, governments and NGO’s decide how and where to focus their time and resources. This set of tools is being prototyped for the Zika response, but will also be applicable to future emergencies….

We already include robust information for 900+ health conditions directly on Search for people in the U.S. We’ve now also added extensive information about Zika globally in 16 languages, with an overview of the virus, symptom information, and Public Health Alerts from that can be updated with new information as it becomes available.

We’re also working with popular YouTube creators across Latin America, including Sesame Street and Brazilian physician Drauzio Varella, to raise awareness about Zika prevention via their channels.

We hope these efforts are helpful in fighting this new public health emergency, and we will continue to do our part to help combat this outbreak.

And if you’re curious about what that 3,000 percent search increase looks like, take a look:….(More)

Value public information so we can trust it, rely on it and use it

Curated on March 3, 2016August 3, 2018 by Stefaan Verhulst

Speech by David Fricker, the director general of the National Archives of Australia: “No-one can deny that we are in an age of information abundance. More and more we rely on information from a variety of sources and channels. Digital information is seductive, because it’s immediate, available and easy to move around. But digital information can be used for nefarious purposes. Social issues can be at odds with processes of government in this digital age. There is a tension between what is the information, where it comes from and how it’s going to be used.

How do we know if the information has reached us without being changed, whether that’s intentional or not?

How do we know that government digital information will be the authoritative source when the pace of information exchange is so rapid? In short, how do we know what to trust?

“It’s everyone’s responsibly to contribute to a transparent government, and that means changes in our thinking and in our actions.”

These are big questions, because there is a complexity about digital information that we don’t have with paper. Information has never been more complicated, but also never more important. There’s no going back — nor would we want to — but it means that time is ticking, because valuable government information is being lost — as I speak. I want you to share my sense of urgency about digital information, and act on what I’m going to say today.

Consider the challenges and risks that come with the digital age: what does it really mean to have transparency and integrity of government in today’s digital environment?…

What does the digital age mean for government? Government should be delivering services online, which means thinking about location, timeliness and information accessibility. It’s about getting public-sector data out there, into the public, making it available to fuel the digital economy. And it’s about a process of change across government to make sure that we’re breaking down all of those silos, and the duplication and fragmentation which exist across government agencies in the application of information, communications, and technology…..

The digital age is about the digital economy, it’s about rethinking the economy of the nation through the lens of information that enables it. It’s understanding that a nation will be enriched, in terms of culture life, prosperity and rights, if we embrace the digital economy. And that’s a weighty responsibility. But the responsibility is not mine alone. It’s a responsibility of everyone in the government who makes records in their daily work. It’s everyone’s responsibly to contribute to a transparent government. And that means changes in our thinking and in our actions….

What has changed about democracy in the digital age? Once upon a time if you wanted to express your anger about something, you might write a letter to the editor of the paper, to the government department, or to your local member and then expect some sort of an argument or discussion as a response. Now, you can bypass all of that. You might post an inflammatory tweet or blog, your comment gathers momentum, you pick the right hashtag, and off we go. It’s all happening: you’re trending on Twitter…..

If I turn to transparency now, at the top of the list is the basic recognition that government information is public information. The information of the government belongs to the people who elected that government. It’s a fundamental of democratic values. It also means that there’s got to be more public participation in the development of public policy, which means if you’re going to have evidence-based, informed, policy development; government information has to be available, anywhere, anytime….

Good information governance is at the heart of managing digital information to provide access to that information into the future — ready access to government information is vital for transparency. Only when information is digital and managed well can government share it effectively with the Australian community, to the benefit of society and the economy.

There are many examples where poor information management, or poor information governance, has led to failures — both in the private and public sectors. Professor Peter Shergold’s recent report, Learning from Failure, why large government policy initiatives have gone so badly wrong in the past and how the chances of success in the future can be improved, highlights examples such as the Home Insulation Program, the NBN and Building the Education Revolution….(Full Speech)

A Tale of Four Algorithms

Curated on February 24, 2016May 29, 2019 by Stefaan Verhulst

Virginia Eubanks at Slate: “Algorithms don’t just power search results and news feeds, shaping our experience of Google, Facebook, Amazon, Spotify, and Tinder.Algorithms are widely—and largely invisibly—integrated into American political life, policymaking, and program administration.

Algorithms can terminate your Medicaid benefits, exclude you from air travel, purge you from voter rolls, or predict if you are likely to commit a crime in the future. They make decisions about who has access to public services, who undergoes extrascrutiny, and where we target scarce resources.

But are all algorithms created equal? Does the kind of algorithm used by government agencies have anything to do with who it is aimed at?

Bias can enter algorithmic processes through many doors. Discriminatory datacollection can mean extra scrutiny for whole communities, creating a feedback cycleof “garbage in, garbage out.” For example, much of the initial data that populated CalGang, an intelligence database used to target and track suspected gang members, was collected by the notorious Community Resources Against Street Hoodlums unitsof the LAPD, including in the scandal-ridden Rampart division. Algorithms can alsomirror and reinforce entrenched cultural assumptions. For example, as Wendy HuiKyong Chun has written, Googling “Asian + woman” a decade ago turned up moreporn sites in the first 10 hits than a search for “pornography.”

But can automated policy decisions be class-biased? Let’s look at four algorithmic systems dedicated to one purpose—identifying and decreasing fraud, waste, and abuse in federal programs—each aimed at a different economic class. We ‘ll investigate the algorithms in terms of their effectiveness at protecting key American political values—efficacy, transparency, fairness, and accountability—and see which ones make the grade.

Below, I’ve scored each of the four policy algorithms on a scale of 1 to 5, 1 being very low and 5 being high…

Of course this ad hoc survey is merely suggestive, not conclusive. But it indicates areality that those of us who talk about data-driven policy rarely address: All algorithmsare not created equal. Policymakers and programmers make inferences about theirtargets that get baked into the code of both legislation and high-tech administrativetools—that SNAP recipients are sneakier than other people and deserve less due process protection, for example….(More)

Public-Private Partnerships for Statistics: Lessons Learned, Future Steps

Curated on February 23, 2016August 3, 2018 by Stefaan Verhulst

Report by Nicholas Robin, Thilo Klein and Johannes Jütting for Paris 21: “Non-offcial sources of data, big data in particular, are currently attracting enormous interest in the world of official statistics. An impressive body of work focuses on how different types of big data (telecom data, social media, sensors, etc.) can be used to fll specifc data gaps, especially with regard to the post-2015 agenda and the associated technology challenges. The focus of this paper is on a different aspect, but one that is of crucial importance: what are the perspectives of the commercial operations and national statistical offces which respectively produce and might use this data and which incentives, business models and protocols are needed in order to leverage non-offcial data sources within the offcial statistics community?

Public-private partnerships (PPPs) offer signifcant opportunities such as cost effectiveness, timeliness, granularity, new indicators, but also present a range of challenges that need to be surmounted. These comprise technical diffculties, risks related to data confdentiality as well as a lack of incentives. Nevertheless, a number of collaborative projects have already emerged and can be

Nevertheless, a number of collaborative projects have already emerged and can be classified into four ideal types: namely the in-house production of statistics by the data provider, the transfer of private data sets to the end user, the transfer of private data sets to a trusted third party for processing and/or analysis, and the outsourcing of national statistical office functions (the only model which is not centred around a data-sharing dimension). In developing countries, a severe lack of resources and particular statistical needs (to adopt a system-wide approach within national statistical systems and fill statistical gaps which are relevant to national development plans) highlight the importance of harnessing the private sector’s resources and point to the most holistic models (in-house and third party) in which the private sector contributes to the processing and analysis of data. The following key lessons are drawn from four case studies….(More)”

Open Data Button

Curated on February 23, 2016August 3, 2018 by Stefaan Verhulst

Open Access Button: “Hidden data is hindering research, and we’re tired of it. Next week we’ll release the Open Data Button beta as part of Open Data Day. The Open Data Button will help people find, release, and share the data behind papers. We need your support to share, test, and improve the Open Data Button. Today, we’re going to provide some in depth info about the tool.

You’ll be able to download the free Open Data Button on the 29th of February. Follow the launch conversation on Twitter and at #opendatabutton.

How the Open Data Button works

You will be able to download the Open Data Button on Chrome, and later on Firefox. When you need the data supporting a paper (even if it’s behind a paywall), push the Button. If the data has already been made available through the Open Data Button, we’ll give you a link. If it hasn’t, youâll be able to start a request for the data. Eventually, we want to search a variety of other sources for it – but can’t yet (read on, we need your help with that).

The request will be sent to the author. We know sharing data can be hard and there’s sometimes good reasons not to. The author will be able to respond to it by saying how long it’ll take to share the data – or if they can’t. If the data is already available, the author can simply share a URL to the dataset. If it isn’t, they can attach files to a response for us to make available. Files shared with us will be deposited in the Open Science Framework for identification and archiving. The Open Science Framework supports data sharing for all disciplines. As much metadata as possible will be obtained from the paper, the rest we’ll ask the author for.

The progress of this request is tracked through our new “request” pages. On request pages others can support a request and be sent a copy of the data when it’s available. We’ll map requests, and stories will be searchable – both will now be embeddable objects.

Once available, we’ll send data to people who’ve requested it. You can award an Open Data Badge to the author if there’s enough supporting information to reproduce the data’s results.

At first we’ll only have a Chrome add-on, but support for Firefox will be available from Firefox 46. Support for a bookmarklet will also be provided, but we don’t have a release date yet….(More)”