USDA Opens VIVO Research Networking Tool to Public

Curated on Posted on by Stefaan Verhulst
 Sharon Durham at the USDA: “VIVO, a Web application used internally by U.S. Department of Agriculture (USDA) scientists since 2012 to allow better national networking across disciplines and locations, is now available to the public. USDA VIVO will be a “one-stop shop” for Federal agriculture expertise and research outcomes.”USDA employs over 5,000 researchers to ensure our programs are based on sound public policy and the best available science,” said USDA Chief Scientist and Undersecretary for Research, Education, and Economics Dr. Catherine Woteki. “USDA VIVO provides a powerful Web search tool for connecting interdisciplinary researchers, research projects and outcomes with others who might bring a different approach or scope to a research project. Inviting private citizens to use the system will increase the potential for collaboration to solve food- and agriculture-related problems.”
The idea behind USDA VIVO is to link researchers with peers and potential collaborators to ignite synergy among our nation’s best scientific minds and to spark unique approaches to some of our toughest agricultural problems. This efficient networking tool enables scientists to easily locate others with a particular expertise. VIVO also makes it possible to quickly identify scientific expertise and respond to emerging agricultural issues, like specific plant and animal disease or pests.
USDA’s Agricultural Research Service (ARS), Economic Research Service, National Institute of Food and Agriculture, National Agricultural Statistics Service and Forest Service are the first five USDA agencies to participate in VIVO. The National Agricultural Library, which is part of ARS, will host the Web application. USDA hopes to add other agencies in the future.
VIVO was in part developed under a $12.2 million grant from the National Center for Research Resources, part of the National Institutes of Health (NIH). The grant, made under the 2009 American Recovery and Reinvestment Act, was provided to the University of Florida and collaborators at Cornell University, Indiana University, Weill Cornell Medical College, Washington University in St. Louis, the Scripps Research Institute and the Ponce School of Medicine.
VIVO’s underlying database draws information about research being conducted by USDA scientists from official public systems of record and then makes it uniformly available for searching. The data can then be easily leveraged in other applications. In this way, USDA is also making its research projects and related impacts available to the Federal RePORTER tool, released by NIH on September 22, 2014. Federal RePORTER is part of a collaborative effort between Federal entities and other research institutions to create a repository that will be useful to assess the impact of Federal research and development investments.”

Personalised Health and Care 2020: Using Data and Technology to Transform Outcomes for Patients and Citizens

Curated on Posted on by Stefaan Verhulst

Report and Framework of Action by the UK National Information Board: “One of the greatest opportunities of the 21st century is the potential to safely harness the power of the technology revolution, which has transformed our society, to meet the challenges of improving health and providing better, safer, sustainable care for all. To date the health and care system has only begun to exploit the potential of using data and technology at a national or local level. Our ambition is for a health and care system that enables people to make healthier choices, to be more resilient, to deal more effectively with illness and disability when it arises, and to have happier, longer lives in old age; a health and care system where technology can help tackle inequalities and improve access to services for the vulnerable.
The purpose of this paper is to consider what progress the health and care system has already made and what can be learnt from other industries and the wider economy…”

A New Ebola Crisis Page Built with Open Data

Curated on Posted on by Stefaan Verhulst
HDX team: “We are introducing a new Ebola crisis page that provides an overview of the data available in HDX. The page includes an interactive map of the worst-affected countries, the top-line figures for the crisis, a graph of cumulative Ebola cases and deaths, and over 40 datasets.
We have been working closely with UNMEER and WHO to make Ebola data available for public use. We have also received important contributions from the British Red Cross, InterAction, MapAction, the Standby Task Force, the US Department of Defense, and WFP, among others.

How we built it

The process to create this page started a couple of months ago by simply linking to existing data sites, such as Open Street Map’s geospatial data or OCHA’s common operational datasets. We then created a service by extracting the data on Ebola cases and deaths from the bi-weekly WHO situation report and making the raw files available for analysts and developers.
The OCHA Regional Office in Dakar contributed a dataset that included Ebola cases by district, which they had been collecting from reports by the national Ministries of Health since March 2014. This data was picked up by The New York Times graphics team and by Gapminder which partnered with Google Crisis Response to add the data to the Google Public Data Explorer.

As more organizations shared Ebola datasets through HDX, users started to transform the data into useful graphs and maps. These visuals were then shared back with the wider community through the HDX gallery. We have incorporated many of these user-generated visual elements into the design of our new Ebola crisis page….”
See also Hacking Ebola.

Hashtag Standards For Emergencies

Curated on Posted on by Stefaan Verhulst

Key Findings of New Report by the UN Office for the Coordination of Humanitarian Affairs:”

  • The public is using Twitter for real-time information exchange and for expressing emotional support during a variety of crises, such as wildfires, earthquakes, floods, hurricanes, political protests, mass shootings, and communicable-disease tracking.31 By encouraging proactive standardization of hashtags, emergency responders may be able to reduce a big-data challenge and better leverage crowdsourced information for operational planning and response.
  • Twitter is the primary social media platform discussed in this Think Brief. However, the use of hashtags has spread to other social media platforms, including Sina Weibo, Facebook, Google+ and Diaspora. As a result, the ideas behind hashtag standardization may have a much larger sphere of influence than just this one platform.
  • Three hashtag standards are encouraged and discussed: early standardization of the disaster name (e.g., #Fay), how to report non-emergency needs (e.g., #PublicRep) and requesting emergency assistance (e.g., #911US).
  • As well as standardizing hashtags, emergency response agencies should encourage the public to enable Global Positioning System (GPS) when tweeting during an emergency. This will provide highly detailed information to facilitate response.
  • Non-governmental groups, national agencies and international organizations should discuss the potential added value of monitoring social media during emergencies. These groups need to agree who is establishing the standards for a given country or event, which agency disseminates these prescriptive messages, and who is collecting and validating the incoming crowdsourced reports.
  • Additional efforts should be pursued regarding how to best link crowdsourced information into emergency response operations and logistics. If this information will be collected, the teams should be ready to act on it in a timely manner.”

Politics, Policy and Privatisation in the Everyday Experience of Big Data in the NHS

Curated on Posted on by Stefaan Verhulst
Chapter by Andrew Goffey ; Lynne Pettinger and Ewen Speed in Martin Hand , Sam Hillyard (ed.) Big Data? Qualitative Approaches to Digital Research (Studies in Qualitative Methodology, Volume 13) : “This chapter explains how fundamental organisational change in the UK National Health Service (NHS) is being effected by new practices of digitised information gathering and use. It analyses the taken-for-granted IT infrastructures that lie behind digitisation and considers the relationship between digitisation and big data.
Design/methodology/approach

Qualitative research methods including discourse analysis, ethnography of software and key informant interviews were used. Actor-network theories, as developed by Science and technology Studies (STS) researchers were used to inform the research questions, data gathering and analysis. The chapter focuses on the aftermath of legislation to change the organisation of the NHS.

Findings

The chapter shows the benefits of qualitative research into specific manifestations information technology. It explains how apparently ‘objective’ and ‘neutral’ quantitative data gathering and analysis is mediated by complex software practices. It considers the political power of claims that data is neutral.

Originality/value

The chapter provides insight into a specific case of healthcare data and. It makes explicit the role of politics and the State in digitisation and shows how STS approaches can be used to understand political and technological practice.”

How Wikipedia Data Is Revolutionizing Flu Forecasting

Curated on Posted on by Stefaan Verhulst
Emerging Technology From the arXiv: “This time last year, the Centers for Disease Control and Prevention in Atlanta launched a competition to find the best way to forecast the characteristics of the 2013-2014 influenza season using data gathered from the internet. Today, Kyle Hickmann from Los Alamos National Laboratories in New Mexico and a few pals reveal the results of their model which used real-time data from Wikipedia to forecast the ground truth data gathered by the CDC that surfaces about two weeks later.

They say their model has the potential to transform flu forecasting from a black art to a modern science as well-founded as weather forecasting.
Flu takes between 3,000 and 49,000 lives each year in the U.S. so an accurate forecast can have a significant impact on the way society prepares for the epidemic. The current method of monitoring flu outbreaks is somewhat antiquated. It relies on a voluntary system in which public health officials report the percentage of patients they see each week with influenza-like illnesses. This is defined as the percentage of people with a temperature higher than 100 degrees, a cough and no other explanation other than flu.
These numbers give a sense of the incidence of flu at any instant but the accuracy is clearly limited. They do not, for example, account for people with flu who do not seek treatment or people with flu-like symptoms who seek treatment but do not have flu.
There is another significant problem. The network that reports this data is relatively slow. It takes about two weeks for the numbers to filter through the system so the data is always weeks old.
That’s why the CDC is interested in finding new ways to monitor the spread of flu in real time. Google, in particular, has used the number of searches for flu and flu-like symptoms to forecast flu in various parts of the world. That approach has had considerable success but also some puzzling failures. One problem, however, is that Google does not make its data freely available and this lack of transparency is a potential source of trouble for this kind of research.
So Hickmann and co have turned to Wikipedia. Their idea is that the variation in numbers of people accessing articles about flu is an indicator of the spread of the disease. And since Wikipedia makes this data freely available to any interested party, it is an entirely transparent source that is likely to be available for the foreseeable future….
Ref: arxiv.org/abs/1410.7716 : Forecasting the 2013–2014 Influenza Season using Wikipedia”

The future of intelligence is distributed – and so is the future of government

Curated on Posted on by Stefaan Verhulst

Craig Thomler at eGovAU: “…Now we can do much better. Rather than focusing on electing and appointing individual experts – the ‘nodes’ in our governance system, governments need to focus on the network that interconnects citizens, government, business, not-for-profits and other entities.

Rather than limiting decision making to a small core of elected officials (supported by appointed and self-nominated ‘experts’), we need to design decision-making systems which empower broad groups of citizens to self-inform and involve themselves at appropriate steps of decision-making processes.
This isn’t quite direct democracy – where the population weighs in on every issue, but it certainly is a few steps removed from the alienating ‘representative democracy’ that many countries use today.
What this model of governance allows for is far more agile and iterative policy debates, rapid testing and improvement of programs and managed distributed community support – where anyone in a community can offer to help others within a framework which values, supports and rewards their involvement, rather than looks at it with suspicion and places many barriers in the way.
Of course we need the mechanisms designed to support this model of government, and the notion that they will simply evolve out of our existing system is quite naive.
Our current governance structures are evolutionary – based on the principle that better approaches will beat out ineffective and inefficient ones. Both history and animal evolution have shown that inefficient organisms can survive for extremely long times, and can require radical environmental change (such as mass extinction events) for new forms to be successful.
On top of this the evolution of government is particularly slow as there’s far fewer connections between the 200-odd national governments in the world than between the 200+ Watson artificial intelligences in the world.
While every Watson learns what other Watsons learn rapidly, governments have stilted and formal mechanisms for connection that mean that it can take decades – or even longer – for them to recognise successes and failures in others.
In other words, while we have a diverse group of governments all attempting to solve many of the same basic problems, the network effect isn’t working as they are all too inward focused and have focused on developing expertise ‘nodes’ (individuals) rather than expert networks (connections).
This isn’t something that can be fixed by one, or even a group of ten or more governments – thereby leaving humanity in the position of having to repeat the same errors time and time again, approving the same drugs, testing the same welfare systems, trialing the same legal regimes, even when we have examples of their failures and successes we could be learning from.
So therefore the best solution – perhaps the only workable solution for the likely duration of human civilisation on this planet – is to do what some of our forefather did and design new forms of government in a planned way.
Rather than letting governments slowly and haphazardly evolve through trial and error, we should take a leaf out of the book of engineers, and place a concerted effort into designing governance systems that meet human needs.
These systems should involve and nurture strong networks, focusing on the connections rather than the nodes – allowing us to both leverage the full capabilities of society in its own betterment and to rapidly adjust settings when environments and needs change….”

Research Handbook On Transparency

Curated on Posted on by Stefaan Verhulst

New book edited by Padideh Ala’i and Robert G. Vaughn: ‘”Transparency” has multiple, contested meanings. This broad-ranging volume accepts that complexity and thoughtfully contrasts alternative views through conceptual pieces, country cases, and assessments of policies–such as freedom of information laws, whistleblower protections, financial disclosure, and participatory policymaking procedures.’
– Susan Rose-Ackerman, Yale University Law School, US
In the last two decades transparency has become a ubiquitous and stubbornly ambiguous term. Typically understood to promote rule of law, democratic participation, anti-corruption initiatives, human rights, and economic efficiency, transparency can also legitimate bureaucratic power, advance undemocratic forms of governance, and aid in global centralization of power. This path-breaking volume, comprising original contributions on a range of countries and environments, exposes the many faces of transparency by allowing readers to see the uncertainties, inconsistencies and surprises contained within the current conceptions and applications of the term….
The expert contributors identify the goals, purposes and ramifications of transparency while presenting both its advantages and shortcomings. Through this framework, they explore transparency from a number of international and comparative perspectives. Some chapters emphasize cultural and national aspects of the issue, with country-specific examples from China, Mexico, the US and the UK, while others focus on transparency within global organizations such as the World Bank and the WTO. A number of relevant legal considerations are also discussed, including freedom of information laws, financial disclosure of public officials and whistleblower protection…”

The New We the People Write API, and What It Means for You

Curated on Posted on by Stefaan Verhulst

White House Blog by Leigh Heyman: “The White House petitions platform, We the People, just became more accessible and open than ever before. We are very excited to announce the launch of the “write” version of the Petitions Application Programming Interface, or “API.”
Starting today, people can sign We the People petitions even when they’re not on WhiteHouse.gov. Now, users can also use third-party platforms, including other petitions services, or even their own websites or blogs. All of those signatures, once validated, will count towards a petition’s objective of meeting the 100,000-signature threshold needed for an official White House response.
We the People started with a simple goal: to give more Americans a way to reach their government. To date, the platform has been more successful than we could have imagined, with more than 16 million users creating and signing more than 360,000 petitions.
We launched our Write API beta test last year, and since then we’ve been hard at work, both internally and in collaboration with our beta test participants. Last spring, as part of the National Day of Civic Hacking, we hosted a hackathon right here at the White House, where our engineers spent a day sitting side-by-side with our beta testers to help get our code and theirs ready for the big day.
That big day has finally come.
Click here if you want to get started right away, or read on to learn more about the Petitions Write API….”

The government wants to study ‘social pollution’ on Twitter

Curated on Posted on by Stefaan Verhulst

Ajit Pai in the Washington Post: “If you take to Twitter to express your views on a hot-button issue, does the government have an interest in deciding whether you are spreading “misinformation’’? If you tweet your support for a candidate in the November elections, should taxpayer money be used to monitor your speech and evaluate your “partisanship’’?

My guess is that most Americans would answer those questions with a resounding no. But the federal government seems to disagree. The National Science Foundation , a federal agency whose mission is to “promote the progress of science; to advance the national health, prosperity and welfare; and to secure the national defense,” is funding a project to collect and analyze your Twitter data.
The project is being developed by researchers at Indiana University, and its purported aim is to detect what they deem “social pollution” and to study what they call “social epidemics,” including how memes — ideas that spread throughout pop culture — propagate. What types of social pollution are they targeting? “Political smears,” so-called “astroturfing” and other forms of “misinformation.”
Named “Truthy,” after a term coined by TV host Stephen Colbert, the project claims to use a “sophisticated combination of text and data mining, social network analysis, and complex network models” to distinguish between memes that arise in an “organic manner” and those that are manipulated into being.

But there’s much more to the story. Focusing in particular on political speech, Truthy keeps track of which Twitter accounts are using hashtags such as #teaparty and #dems. It estimates users’ “partisanship.” It invites feedback on whether specific Twitter users, such as the Drudge Report, are “truthy” or “spamming.” And it evaluates whether accounts are expressing “positive” or “negative” sentiments toward other users or memes…”