Citizen Science used in studying Seasonal Variation in India


Rohin Daswani at the Commons Lab, Woodrow Wilson International Center for Scholars: “Climate change has started affecting many countries around the world. While every country is susceptible to the risks of global warming some countries, such as India, are especially vulnerable.

India’s sheer dependence on rainfall to irrigate its vast agricultural lands and to feed its economy makes it highly vulnerable to climate change. A report from the UN Intergovernmental Panel on Climate Change (IPCC) predicts global temperature will increase between 0.3 and 4.8 degrees Celsius and sea levels will rise 82cm (32 in) by the late 21st century. But what effect will the changing rainfall pattern have on the seasonal variation?

One way to study seasonal variation in India is to analyze the changing patterns of flowering and fruiting of common trees like the Mango and Amaltas trees. SeasonWatch , a program part of the National Center for Biological Sciences (NCBS), the biological wing of the Tata Institute for Fundamental Research, does exactly that. It is an India-wide program that studies the changing seasons by monitoring the seasonal cycles of flowering, fruiting and leaf flush of common trees. And how does it do that? It does it by utilizing the idea of Citizen Science. Anybody, be it children or adults, interested in trees and the effects of climate change can participate. All they have to do is register, select a tree near them and monitor it every week. The data is uploaded to a central website and is analyzed for changing patterns of plant life, and the effects of climate change on plant life cycle. The data is also open source so anyone can get access to it if they wish to. With all this information one could answer questions which were previously impossible to answer such as:

  • How does the flowering of Neem change across India?
  • Is fruiting of Tamarind different in different parts of the country depending on rainfall in the previous year?
  • Is year to year variation in flowering and fruiting time of Mango related to Winter temperatures?

Using Citizen Science and crowdsourcing, programs such as SeasonWatch have expanded the scope and work of conservation biology in various ecosystems across India….(More)”

ENGAGE: Building and Harnessing Networks for Social Impact


Faizal Karmali and Claudia Juech at the Rockefeller Foundation: “Have you heard of ‘X’ organization? They’re doing interesting work that you should know about. You might even want to work together.”

Words like these abound between individuals at conferences, at industry events, in email, and, all too often, trapped in the minds of those who see the potential in connecting the dots. Bridging individuals, organizations, or ideas is fulfilling because these connections often result in value for everyone, sometimes immediately, but often over the long term. While many of us can think of that extraordinary network connector in our personal or professional circles, if asked to identify an organization that plays a similar role at scale, across multiple sectors, we may be hard-pressed to name more than a few—let alone understand how they do it well….

In an effort to capture and codify the growing breadth of knowledge and experience around leveraging networks for social impact, the Monitor Institute, a part of Deloitte Consulting, with support from The Rockefeller Foundation, have produced ENGAGE: How Funders Can Support and Leverage Networks for Social Impact— an online guide which offers a series of frameworks, tools, insights, and stories to help funders explore the critical questions around using networks as part of their grantmaking strategy—particularly as a means to accelerating impact….

ENGAGE draws on the experience and knowledge of over 40 leaders and practitioners in the field who are using networks to create change; digs into the deep pool of writing on the topic; and mines the significant experience in working with networks that is resident in both Monitor Institute and The Rockefeller Foundation. The result is an aggregation and synthesis of some of the leading thinking in both the theory and practice of engaging with networks as a grantmaker.

Compelling examples on how the Foundation leverages the power of networks can be seen in the creation of formal network institutions like the Global Impact Investing Network (GIIN) and the Joint Learning Network for Universal Health Coverage, but also through more targeted and time-bound network engagement activities, such as enabling greater connectivity among grantees and unleashing the power of technology to surface innovation from loosely curated crowds.

Building and harnessing networks is more an art than a science. It is our hope that ENGAGE will enable grantmakers and other network practitioners to be more deliberate and thoughtful about how and when a network can help accelerate their work…. (More)

The New Science of Sentencing


Anna Maria Barry-Jester et al at the Marshall Project: “Criminal sentencing has long been based on the present crime and, sometimes, the defendant’s past criminal record. In Pennsylvania, judges could soon consider a new dimension: the future.

Pennsylvania is on the verge of becoming one of the first states in the country to base criminal sentences not only on what crimes people have been convicted of, but also on whether they are deemed likely to commit additional crimes. As early as next year, judges there could receive statistically derived tools known as risk assessments to help them decide how much prison time — if any — to assign.

Risk assessments have existed in various forms for a century, but over the past two decades, they have spread through the American justice system, driven by advances in social science. The tools try to predict recidivism — repeat offending or breaking the rules of probation or parole — using statistical probabilities based on factors such as age, employment history and prior criminal record. They are now used at some stage of the criminal justice process in nearly every state. Many court systems use the tools to guide decisions about which prisoners to release on parole, for example, and risk assessments are becoming increasingly popular as a way to help set bail for inmates awaiting trial.

But Pennsylvania is about to take a step most states have until now resisted for adult defendants: using risk assessment in sentencing itself. A state commission is putting the finishing touches on a plan that, if implemented as expected, could allow some offenders considered low risk to get shorter prison sentences than they would otherwise or avoid incarceration entirely. Those deemed high risk could spend more time behind bars.

Pennsylvania, which already uses risk assessment in other phases of its criminal justice system, is considering the approach in sentencing because it is struggling with an unwieldy and expensive corrections system. Pennsylvania has roughly 50,000 people in state custody, 2,000 more than it has permanent beds for. Thousands more are in local jails, and hundreds of thousands are on probation or parole. The state spends $2 billion a year on its corrections system — more than 7 percent of the total state budget, up from less than 2 percent 30 years ago. Yet recidivism rates remain high: 1 in 3inmates is arrested again or reincarcerated within a year of being released.

States across the country are facing similar problems — Pennsylvania’s incarceration rate is almost exactly the national average — and many policymakers see risk assessment as an attractive solution. Moreover, the approach has bipartisan appeal: Among some conservatives, risk assessment appeals to the desire to spend tax dollars on locking up only those criminals who are truly dangerous to society. And some liberals hope a data-driven justice system will be less punitive overall and correct for the personal, often subconscious biases of police, judges and probation officers. In theory, using risk assessment tools could lead to both less incarceration and less crime.

There are more than 60 risk assessment tools in use across the U.S., and they vary widely. But in their simplest form, they are questionnaires — typically filled out by a jail staff member, probation officer or psychologist — that assign points to offenders based on anything from demographic factors to family background to criminal history. The resulting scores are based on statistical probabilities derived from previous offenders’ behavior. A low score designates an offender as “low risk” and could result in lower bail, less prison time or less restrictive probation or parole terms; a high score can lead to tougher sentences or tighter monitoring.

The risk assessment trend is controversial. Critics have raised numerous questions: Is it fair to make decisions in an individual case based on what similar offenders have done in the past? Is it acceptable to use characteristics that might be associated with race or socioeconomic status, such as the criminal record of a person’s parents? And even if states can resolve such philosophical questions, there are also practical ones: What to do about unreliable data? Which of the many available tools — some of them licensed by for-profit companies — should policymakers choose?…(More)”

Four things policy-makers need to know about social media data and real time analytics.


Ella McPherson at LSE’s Impact Blog: “I recently gave evidence to the House of Commons Science and Technology Select Committee. This was based on written evidence co-authored with my colleague, Anne Alexander, and submitted to their ongoing inquiry into social media data and real time analytics. Both Anne and I research the use of social media during contested times; Anne looks at its use by political activists and labour movement organisers in the Arab world, and I look at its use in human rights reporting. In both cases, the need to establish facticity is high, as is the potential for the deliberate or inadvertent falsification of information. Similarly to the case that Carruthers makes about war reporting, we believe that the political-economic, methodological, and ethical issues raised by media dynamics in the context of crisis are bellwethers for the dynamics in more peaceful and mundane contexts.

From our work we have learned four crucial lessons that policy-makers considering this issue should understand:

1.  Social media information is vulnerable to a variety of distortions – some typical of all information, and others more specific to the characteristics of social media communications….

2.  If social media information is used to establish events, it must be verified; while technology can hasten this process, it is unlikely to ever occur real time due to the subjective, human element of judgment required….

 

3.  Verifying social media information may require identifying its source, which has ethical implications related to informed consent and anonymisation….

4.  Another way to think about social media information is as what Hermida calls an ‘awareness system,’ which reduces the need to collect source identities; under this approach, researchers look at volume rather than veracity to recognise information of interest… (More)

Quantifying Crowd Size with Mobile Phone and Twitter Data


, , and Being able to infer the number of people in a specific area is of extreme importance for the avoidance of crowd disasters and to facilitate emergency evacuations. Here, using a football stadium and an airport as case studies, we present evidence of a strong relationship between the number of people in restricted areas and activity recorded by mobile phone providers and the online service Twitter. Our findings suggest that data generated through our interactions with mobile phone networks and the Internet may allow us to gain valuable measurements of the current state of society….(More)”

Urban Informatics


Special issue of Data Engineering: “Most data related to people and the built world originates in urban settings. There is increasing demand to capture and exploit this data to support efforts in areas such as Smart Cities, City Science and Intelligent Transportation Systems. Urban informatics deals with the collection, organization, dissemination and analysis of urban information used in such applications. However, the dramatic growth in the volume of this urban data creates challenges for existing data-management and analysis techniques. The collected data is also increasingly diverse, with a wide variety of sensor, GIS, imagery and graph data arising in cities. To address these challenges, urban informatics requires development of advanced data-management approaches, analysis methods, and visualization techniques. It also provides an opportunity to confront the “Variety” axis of Big Data head on. The contributions in this issue cross the spectrum of urban information, from its origin, to archiving and retrieval, to analysis and visualization. …

Collaborative Sensing for Urban Transportation (By Sergio Ilarri, et al)

Open Civic Data: Of the People, For the People, By the People (by Arnaud Sahuguet, et al, The GovLab)

Plenario: An Open Data Discovery and Exploration Platform for Urban Science (by Charlie Catlett et al)

Riding from Urban Data to Insight Using New York City Taxis (by Juliana Freire et al)…(More)”

 

Disruptive Technology that Could Transform Government-Citizen Relationships


David Raths at GovTech: “William Gibson, the science fiction writer who coined the term “cyberspace,” once said: “The future is already here — it’s just not very evenly distributed.” That may be exactly the way to look at the selection of disruptive technologies we have chosen to highlight in eight critical areas of government, ranging from public safety to health to transportation. ….

PUBLIC SAFETY: WEARABLE TECH IS TRANSFORMING EMERGENCY RESPONSE

The wearable technology market is expected to grow from $20 billion in 2015 to almost $70 billion in 2025, according to research firm IDTechEx. As commercial applications bloom, more will find their way into the public sector and emergency response.

This year has seen an increase in the number of police departments using body cameras. And already under development are wireless devices that monitor a responder’s breathing, heart rate and blood pressure, as well as potentially harmful environmental conditions, and relay concerns back to incident command.

But rather than sitting back and waiting for the market to develop, the U.S. Department of Homeland Security is determined to spur innovation in the field. DHS’ research and development arm is funding a startup accelerator program called Emerge managed by the Center for Innovative Technology (CIT), a Virginia-based nonprofit. Two accelerators, in Texas and Illinois, will work with 10 to 15 startups this year to develop wearable products and adopt them for first responder use….

HEALTH & HUMAN SERVICES: ‘HOT-SPOTTING’ FOR POPULATION HEALTH MANAGEMENT

A hot health-care trend is population health management: using data to improve health at a community level as well as an individual level. The growth in sophistication of GIS tools has allowed public health researchers to more clearly identify and start addressing health resource disparities.

Dr. Jeffrey Brenner, a Camden, N.J.-based physician, uses data gathered in a health information exchange (HIE) to target high-cost individuals. The Camden Coalition of Healthcare Providers uses the HIE data to identify high-cost “hot spots” — high-rise buildings where a large number of hospital emergency room “super users” live. By identifying and working with these individuals on patient-centered care coordination issues, the coalition has been able to reduce emergency room use and in-patient stays….

PARKS & RECREATION: TRACKING TREES FOR A BETTER FUTURE

A combination of advances in mobile data collection systems and geocoding lets natural resources and parks agencies be more proactive about collecting tree data, managing urban forests and quantifying their value, as forests become increasingly important resources in an era of climate change.

Philadelphia Parks and Recreation has added approximately 2 million trees to its database in the past few years. It plans to create a digital management system for all of them. Los Angeles City Parks uses the Davey Tree Expert Co.’s Web-based TreeKeeper management software to manage existing tree inventories and administer work orders. The department can also more easily look at species balance to manage against pests, disease and drought….

CORRECTIONS: VIDEO-BASED TOOLS TRANSFORM PRISONS AND JAILS

Videoconferencing is disrupting business as usual in U.S. jails and prisons in two ways: One is the rising use of telemedicine to reduce inmate health-care costs and to increase access to certain types of care for prisoners. The other is video visitation between inmates and families.

A March 2015 report by Southern California Public Radio noted that the federal court-appointed receiver overseeing inmate health care in California is reviewing telemedicine capabilities to reduce costly overtime billing by physicians and nurses at prisons. In one year, overtime has more than doubled for this branch of corrections, from more than $12 million to nearly $30 million….

FINANCE & BUDGETING: DATA PORTALS OFFER TRANSPARENCY AT UNPRECEDENTED LEVELS

The transparency and open data movements have hit the government finance sector in a big way and promise to be an area of innovation in the years ahead.

A partnership between Ohio Treasurer Josh Mandel and the finance visualization startup OpenGov will result in one of the most sweeping statewide transparency efforts to date.

The initiative offers 3,900-plus local governments — from townships, cities and counties to school districts and more — a chance to place revenues and expenditures online free of charge through the state’s budget transparency site OhioCheckbook.com. Citizens will be able to track local government revenues and expenditures via interactive graphs that illustrate not only a bird’s-eye view of a budget, but also the granular details of check-by-check spending….

DMV: DRIVERS’ LICENSES: THERE WILL SOON BE AN APP FOR THAT

The laminated driver’s license you keep in your wallet may eventually give way to an app on your smartphone, and that change may have wider significance for how citizens interact digitally with their government. Legislatures in at least three states have seen bills introduced authorizing their transportation departments to begin piloting digital drivers’ licenses…..

TRANSPORTATION & MASS TRANSIT: BIG BREAKTHROUGHS ARE JUST AROUND THE CORNER

Nothing is likely to be more disruptive to transportation, mass transit and urban planning than the double whammy of connected vehicle technology and autonomous vehicles.
The U.S. Department of Transportation expects great things from the connected vehicles of the future ­— and that future may be just around the corner. Vehicle-to-infrastructure communication capabilities and anonymous information from passengers’ wireless devices relayed through dedicated short-range connections could provide transportation agencies with improved traffic, transit and parking data, making it easier to manage transportation systems and improve traffic safety….. (More)”

Scientists Are Hoarding Data And It’s Ruining Medical Research


Ben Goldacre at Buzzfeed: “We like to imagine that science is a world of clean answers, with priestly personnel in white coats, emitting perfect outputs, from glass and metal buildings full of blinking lights.

The reality is a mess. A collection of papers published on Wednesday — on one of the most commonly used medical treatments in the world — show just how bad things have become. But they also give hope.

The papers are about deworming pills that kill parasites in the gut, at extremely low cost. In developing countries, battles over the usefulness of these drugs have become so contentious that some people call them “The Worm Wars.”…

This “deworm everybody” approach has been driven by a single, hugely influential trial published in 2004 by two economists, Edward Miguel and Michael Kremer. This trial, done in Kenya, found that deworming whole schools improved children’s health, school performance, and school attendance. What’s more, these benefits apparently extended to children in schools several miles away, even when those children didn’t get any deworming tablets (presumably, people assumed, by interrupting worm transmission from one child to the next).

A decade later, in 2013, these two economists did something that very few researchers have ever done. They handed over their entire dataset to independent researchers on the other side of the world, so that their analyses could be checked in public. What happened next has every right to kick through a revolution in science and medicine….

This kind of statistical replication is almost vanishingly rare. A recent study set out to find all well-documented cases in which the raw data from a randomized trial had been reanalysed. It found just 37, out of many thousands. What’s more, only five were conducted by entirely independent researchers, people not involved in the original trial.

These reanalyses were more than mere academic fun and games. The ultimate outcomes of the trials changed, with terrifying frequency: One-third of them were so different that the take-home message of the trial shifted.

This matters. Medical trials aren’t conducted out of an abstract philosophical interest, for the intellectual benefit of some rarefied class in ivory towers. Researchers do trials as a service, to find out what works, because they intend to act on the results. It matters that trials get an answer that is not just accurate, but also reliable.

So here we have an odd situation. Independent reanalysis can improve the results of clinical trials, and help us not go down blind alleys, or give the wrong treatment to the wrong people. It’s pretty cheap, compared to the phenomenal administrative cost of conducting a trial. And it spots problems at an alarmingly high rate.

And yet, this kind of independent check is almost never done. Why not? Partly, it’s resources. But more than that, when people do request raw data, all too often the original researchers duck, dive, or simply ignore requests….

Two years ago I published a book on problems in medicine. Front and center in this howl was “publication bias,” the problem of clinical trial results being routinely and legally withheld from doctors, researchers, and patients. The best available evidence — from dozens of studieschasing results for completed trials — shows that around half of all clinical trials fail to report their results. The same is true of industry trials, and academic trials. What’s more, trials with positive results are about twice as likely to post results, so we see a biased half of the literature.

This is a cancer at the core of evidence-based medicine. When half the evidence is withheld, doctors and patients cannot make informed decisions about which treatment is best. When I wrote about this, various people from the pharmaceutical industry cropped up to claim that the problem was all in the past. So I befriended some campaigners, we assembled a group of senior academics, and started the AllTrials.net campaign with one clear message: “All trials must be registered, with their full methods and results reported.”

Dozens of academic studies had been published on the issue, and that alone clearly wasn’t enough. So we started collecting signatures, and we now have more than 85,000 supporters. At the same time we sought out institutional support. Eighty patient groups signed up in the first month, with hundreds more since then. Some of the biggest research funders, and even government bodies, have now signed up.

This week we’re announcing support from a group of 85 pension funds and asset managers, representing more than 3.5 trillion euros in funds, who will be asking the pharma companies they invest in to make plans to ensure that all trials — past, present, and future — report their results properly. Next week, after two years of activity in Europe, we launch our campaign in the U.S….(More)”

From Governmental Open Data Toward Governmental Open Innovation (GOI)


Chapter by Daniele Archibugi et al in The Handbook of Global Science, Technology, and Innovation: “Today, governments release governmental data that were previously hidden to the public. This democratization of governmental open data (OD) aims to increase transparency but also fuels innovation. Indeed, the release of governmental OD is a global trend, which has evolved into governmental open innovation (GOI). In GOI, governmental actors purposively manage the knowledge flows that span organizational boundaries and reveal innovation-related knowledge to the public with the aim to spur innovation for a higher economic and social welfare at regional, national, or global scale. GOI subsumes different revealing strategies, namely governmental OD, problem, and solution revealing. This chapter introduces the concept of GOI that has evolved from global OD efforts. It present a historical analysis of the emergence of GOI in four different continents, namely, Europe (UK and Denmark), North America (United States and Mexico), Australia, and China to highlight the emergence of GOI at a global scale….(More)”

‘Smart Cities’ Will Know Everything About You


Mike Weston in the Wall Street Journal: “From Boston to Beijing, municipalities and governments across the world are pledging billions to create “smart cities”—urban areas covered with Internet-connected devices that control citywide systems, such as transit, and collect data. Although the details can vary, the basic goal is to create super-efficient infrastructure, aid urban planning and improve the well-being of the populace.

A byproduct of a tech utopia will be a prodigious amount of data collected on the inhabitants. For instance, at the company I head, we recently undertook an experiment in which some staff volunteered to wear devices around the clock for 10 days. We monitored more than 170 metrics reflecting their daily habits and preferences—including how they slept, where they traveled and how they felt (a fast heart rate and no movement can indicate excitement or stress).

If the Internet age has taught us anything, it’s that where there is information, there is money to be made. With so much personal information available and countless ways to use it, businesses and authorities will be faced with a number of ethical questions.

In a fully “smart” city, every movement an individual makes can be tracked. The data will reveal where she works, how she commutes, her shopping habits, places she visits and her proximity to other people. You could argue that this sort of tracking already exists via various apps and on social-media platforms, or is held by public-transport companies and e-commerce sites. The difference is that with a smart city this data will be centralized and easy to access. Given the value of this data, it’s conceivable that municipalities or private businesses that pay to create a smart city will seek to recoup their expenses by selling it….

Recent history—issues of privacy and security on social networks and chatting apps, and questions about how intellectual-property regulations apply online—has shown that the law has been slow to catch up with digital innovations. So businesses that can purchase smart-city data will be presented with many strategic and ethical concerns.

What degree of targeting is too specific and violates privacy? Should businesses limit the types of goods or services they offer to certain individuals? Is it ethical for data—on an employee’s eating habits, for instance—to be sold to employers or to insurance companies to help them assess claims? Do individuals own their own personal data once it enters the smart-city system?

With or without stringent controlling legislation, businesses in a smart city will need to craft their own policies and procedures regarding the use of data. A large-scale misuse of personal data could provoke a consumer backlash that could cripple a company’s reputation and lead to monster lawsuits. An additional problem is that businesses won’t know which individuals might welcome the convenience of targeted advertising and which will find it creepy—although data science could solve this equation eventually by predicting where each individual’s privacy line is.

A smart city doesn’t have to be as Orwellian as it sounds. If businesses act responsibly, there is no reason why what sounds intrusive in the abstract can’t revolutionize the way people live for the better by offering services that anticipates their needs; by designing ultraefficient infrastructure that makes commuting a (relative) dream; or with a revolutionary approach to how energy is generated and used by businesses and the populace at large….(More)”