science

Ethical Guidelines for Applying Predictive Tools Within Human Services

Curated on September 30, 2017August 3, 2018 by Stefaan Verhulst

MetroLab Network: “Predictive analytical tools are already being put to work within human service agencies to help make vital decisions about when and how to intervene in the lives of families and communities. The sector may not be entirely comfortable with this trend, but it should not be surprised. Predictive models are in wide use within the justice and education sectors and, more to the point, they work: risk assessment is fundamental to what social services do, and these tools can help agencies respond more quickly to prevent harm, to create more personalized interventions, and allocate scarce public resources to where they can do the most good.

There is also a strong case that predictive risk models (PRM) can reduce bias in decision-making. Designing a predictive model forces more explicit conversations about how agencies think about different risk factors and how they propose to guard against disadvantaging certain demographic or socioeconomic groups. And the standard that agencies are trying to improve upon is not perfect equity—it is the status quo, which is neither transparent nor uniformly fair. Risk scores do not eliminate the possibility of personal or institutional prejudice but they can make it more apparent by providing a common reference point.

That the use of predictive analytics in social services can reduce bias is not to say that it will. Careless or unskilled development of these predictive tools could worsen disparities among clients receiving social services. Child and civil rights advocates rightly worry about the potential for “net widening”—drawing more people in for unnecessary scrutiny by the government. They worry that rather than improving services for vulnerable clients, these models will replicate the biases in existing public data sources and expose them to greater trauma. Bad models scale just as quickly as good ones, and even the best of them can be misused.

The stakes here are real: for children and families that interact with these social systems and for the reputation of the agencies that turn to these tools. What, then, should a public leader know about risk modeling, and what lessons does it offer about how to think about data science, data stewardship, and the public interest?…(More)”.

Art And Science Of The Nudge – Innovation In Indian Policymaking

Curated on September 28, 2017August 3, 2018 by Stefaan Verhulst

Vinayak Dalmia at Swarajya: “In September last year, a news release stated that NITI Aayog, in partnership with the Bill & Melinda Gates Foundation, will help set up a “nudge unit”. The stated aim is to deepen the reach of certain flagship programmes including Swachh Bharat, Jan Dhan Yojana and Skill Development.

Mainstream publications have also begun to argue for the same. Since a lot of India’s social problems are behavioural in nature, subtle, inexpensive changes in the “environment” prove more effective than elaborate laws or policies. Prime Minister Narendra Modi himself hinted at the psychological nature of ills such as gender violence and sanitation. Pratap Bhanu Mehta states – “social failure is as serious a matter as market failure”. The Prime Minister has started with moral persuasion on issues of cleanliness or giving up LPG (liquefied petroleum gas) subsidies. A formal and rigorous approach to some of these problems should be the next logical step.

Government and/or policymakers are in many ways architects designing “choices” and social environments we live in. As designers, they must leverage the fundamental truth that all actors and agents are psychological beings having less-than-perfect rationality. So, while behavioural science operates on the premise that the brain is prone to making mistakes, psychology can address the flaws and design smarter policies.

For example, open defecation is a big problem in India. It stands tangential to the Prime Minister’s Swachh Bharat dream. In spite of building toilets, in some cases, the usage rates are no more than 50 per cent. World Bank economist Nidhi Khurana has proposed communicating the harms of this behaviour as opposed to the benefits of using a toilet. In effect, she is suggesting the use of the theory of “loss aversion” which states that people value potential losses more than potential gains (on average, twice as much). Studies have also found that subtle changes in the sense of ownership bring significant improvements.

Noteworthy is the immunisation rate in Rajasthan. It increased after free lentils were given to women who brought their children to dispensaries. Colour-coded footprints in the Delhi Metro is borrowed from Copenhagen in order to institute better civic sense. In Kenya, weekly text reminders help ensure HIV patients adhere to medication schedules….(More)”.

The ‘Five Safes’: a framework for planning, designing and evaluating data access solutions

Curated on September 28, 2017August 3, 2018 by Stefaan Verhulst

Paper by Felix Ritchie: “The ‘Five Safes’ is a popular way to structure thinking about data access solutions. Originally used mainly by statistical agencies and social science academics, in recent years it has been adopted more widely across government, health organisations and private sector bodies. This paper explains the Five Safes, how the concept is used to organise and simplify decision-making, and how it helps to address concerns of different constituencies. We show how it aligns to recent regulation, anticipating the shift towards multi-dimensional data management strategies. We provide a number of practical examples as case studies for further information. We also briefly consider what issues the Five Safes does not address, and how the framework sits within a wider body of work on data access which challenges traditional data access models…(More)”.

Open Knowledge Maps

Curated on September 27, 2017August 3, 2018 by Stefaan Verhulst

About: “Our Goal is to revolutionize discovery of scientific knowledge. We are building a visual interface that dramatically increases the visibility of research findings for science and society alike. We are a non-profit organization and we believe that a better way to explore and discover scientific knowledge will benefit us all.

An Open Knowledge Maps visualization presents you with a topical overview for your search term. It is based on the 100 most relevant documents for your search term.
We use text similarity to create the knowledge maps. The algorithm groups those papers together that have many words in common.
The visualization is intended to give you a head start on your literature search. You can also use Open Knowledge Maps to stay up-to-date – just limit your search to the most recent papers in the options….(More)”.

Using Public Data From Different Sources

Curated on September 26, 2017August 3, 2018 by Stefaan Verhulst

Chapter byYair Cohen in Maximizing Social Science Research Through Publicly Accessible Data Sets, book edited by S. Marshall Perry: “The United States federal government agencies as well as states agencies are liberating their data through web portals. Web portals like data.gov, census.gov, healthdata.gov, ed.gov and many others on the state level provide great opportunity for researchers of all fields. This chapter shows the challenges and the opportunities that lie by merging data from different pubic sources. The researcher collected and merged data from the following datasets: NYSED school report card, NYSED Fiscal Profile Reporting System, Civil Rights Data Collection, and Census 2010 School District Demographics System. The challenges include data validation, data cleaning, flatting data for easy reporting, and merging datasets based on text fields….(More)”.

Storm Crowds: Evidence from Zooniverse on Crowd Contribution Design

Curated on September 21, 2017August 3, 2018 by Stefaan Verhulst

Paper by Sandra Barbosu and Joshua S. Gans: “Crowdsourcing – a collaborative form of content production based on the contributions of large groups of individuals – has proliferated in the past decade. As a result, recent research seeks to understand the factors that affect its sustainability. Prior studies have highlighted the importance of volunteers’ prosocial motivations, the sense of belonging to a community, and symbolic rewards within crowdsourcing websites. One factor that has received limited attention in the existing literature is how the design of crowdsourcingplatforms affects their sustainability.

We study whether the design element – particularly, the divisibility of contributions (i.e. whether contributing tasks are bundled together or can be carried out separately) – is a factor that affects the level and quality of crowdsourcing contributions. We investigate this in the context of Zooniverse, the world’s largest crowdsourced science site, in which volunteers contribute to scientific research by performing data processing tasks. Our choice of empirical setting is motivated by the fact that one of the Zooniverse projects, Cyclone Center, underwent a format change that decreased the divisibility of contributions, by bundling together two tasks that were previously separate. We refer to contributions for which both tasks were done as complete, and contributions for which only one task was done as incomplete. In this context, we develop a theoretical model that predicts (i) a positive relationship between contribution divisibility and the total number of contributions (i.e. complete and incomplete) per volunteer, (ii) an ambiguous relationship between contribution divisibility and the number of complete contributions per volunteer, and (iii) an ambiguous relationship between contribution divisibility and the value of complete contributions. We test these predictions empirically by exploiting the format change in Cyclone Center.

We find that after the format change, which decreased contribution divisibility, (i) the total number of contributions per volunteer decreased, (ii) the number of complete contributions made by anonymous volunteers increased, while that made by registered volunteers remained unchanged, and (iii) the value of complete contributions increased because anonymous volunteers, who increased their number of complete contributions, contributed high quality contributions. Our results have strategic implications for crowdsourcing platforms because they suggest that the design of crowdsourcing platforms, specifically the divisibility of contributions, is a factor that matters for their sustainability….(More)”

Why Information Matters

Curated on September 20, 2017October 24, 2018 by Stefaan Verhulst

Essay by Luciano Floridi in Special Issue of Atlantis on Information, Matter and Life: “…As information technologies come to affect all areas of life, they are becoming implicated in our most important problems — their causes, effects, and solutions, the scientific investigations aimed at explaining them, the concepts created to understand them, the means of discussing them, and even, as in the case of Bill Gates, the wealth required to tackle them.

Furthermore, information technologies don’t just modify how we act in the world; they also profoundly affect how we understand the world, how we relate to it, how we see ourselves, how we interact with each other, and how our hopes for a better future are shaped. All these are old philosophical issues, of course, but we must now consider them anew, with the concept of information as a central concern.

This means that if philosophers are to help enable humanity to make sense of our world and to improve it responsibly, information needs to be a significant field of philosophical study. Among our mundane and technical concepts, information is currently not only one of the most important and widely used, but also one of the least understood. We need a philosophy of information.

How to Ask a Question

In the fall of 1999, NASA lost radio contact with its Mars Climate Orbiter, a $125 million weather satellite that had been launched the year before. In a maneuver to enter the spacecraft into orbit around Mars, the trajectory had put the spacecraft far closer to Mars than planned, so that it directly entered the planet’s atmosphere, where it probably disintegrated. The reason for this unhappy event was that for a particular software file, the Lockheed Martin engineering team had used English (imperial) units of measurement instead of the metric units specified by the agency, whose trajectory modelers assumed the data they were looking at was provided in metric.

This incident illustrates a simple lesson: successful cooperation depends on an agreement between all parties that the information being exchanged is fixed at a specified level. Wrongly assuming that everyone will follow the rules that specify the level — for example, that impulse will be expressed not as pound-seconds (the English unit) but as newton-seconds (the metric unit) — can lead to costly mistakes. Even though this principle may seem obvious, it is one of the most valuable contributions that philosophy can offer to our understanding of information. This is because, as we will see, failing to specify a level at which we ask a given philosophical question can be the reason for deep confusions and useless answers. Another simple example will help to illustrate the problem…(More)”

Blockchain: Blueprint for a New Economy

Curated on September 18, 2017August 3, 2018 by Stefaan Verhulst

Book by Melanie Swan: “Bitcoin is starting to come into its own as a digital currency, but the blockchain technology behind it could prove to be much more significant. This book takes you beyond the currency (“Blockchain 1.0”) and smart contracts (“Blockchain 2.0”) to demonstrate how the blockchain is in position to become the fifth disruptive computing paradigm after mainframes, PCs, the Internet, and mobile/social networking.

Author Melanie Swan, Founder of the Institute for Blockchain Studies, explains that the blockchain is essentially a public ledger with potential as a worldwide, decentralized record for the registration, inventory, and transfer of all assets—not just finances, but property and intangible assets such as votes, software, health data, and ideas.

Topics include:

Concepts, features, and functionality of Bitcoin and the blockchain
Using the blockchain for automated tracking of all digital endeavors
Enabling censorship?resistant organizational models
Creating a decentralized digital repository to verify identity
Possibility of cheaper, more efficient services traditionally provided by nations
Blockchain for science: making better use of the data-mining network
Personal health record storage, including access to one’s own genomic data
Open access academic publishing on the blockchain…(More)”.

In design as in politics: who decides?

Curated on September 14, 2017August 3, 2018 by Stefaan Verhulst

Joan Subirats at Open Democracy: “Can we keep on organizing decision-making processes as we used to do in the age of the Enlightenment or in a scenario where information only flows from top to bottom? Designers and creators have been questioning this for a long time now, seeking to go beyond the user paradigm which has determined innovation processes in recent decades. Today, their concern is how to put people at the center of new experiences…..

Today, in the world of design, emphasis is being placed on the fact that all those who will want or will be able to use a product or service should be incorporated into the creative process itself. On the other hand, science has shown that we cannot imagine designing a building or constructing an infrastructure without taking into account the materials we use, the impact on the surroundings, and the effects on the environment and on the functioning of the city where the new building is located or the new service is to come into operation. The building, the infrastructure “participates” in a complex environment than cannot be ignored. The design of any object or activity is not immune to all that is around it and to the materials used to build or imagine it – nor is its destruction or disappearance. The design of “things” cannot be only a framework in which participants are to be assumed as data, the design itself has to be “participated”.

In this sense, designers cannot avoid being participants, just as politicians cannot avoid being citizens. In the same way as you cannot complain about a traffic jam where you find yourself stuck as if the whole problem was due to others, for the simple reason that you are part of this traffic and this jam. We need design and policy-making systems that do not have designers sitting in a bubble, seemingly immune to what goes on outside. We need political decision-making systems that invite-incite-engage people, rather than processes that ask people to participate in what others have thought needs to be done. And, surely, to do this, we need a little more humility when it comes to doing politics – and this implies changing power structures and the distribution of responsibilities. In the face of ever more complex problems, with more structural implications and more heterogeneous interests, we need a reconfiguration and an expansion of collective decision-making mechanisms…. (More) (Español).”