Stefaan Verhulst
Jennifer L. Gustetic et al in Space Policy: “Beginning in 2012, NASA utilized a strategic process to identify broad societal questions, or grand challenges, that are well suited to the aerospace sector and align with national priorities. This effort generated NASA’s first grand challenge, the Asteroid Grand Challenge (AGC), a large-scale effort using multi-disciplinary collaborations and innovative engagement mechanisms focused on finding and addressing asteroid threats to human populations. In April 2010, President Barack Obama announced a mission to send humans to an asteroid by 2025. This resulted in the agency’s Asteroid Redirect Mission (ARM) to leverage and maximize existing robotic and human efforts to capture and reroute an asteroid, with the goal of eventual human exploration. The AGC, initiated in 2013, complemented ARM by expanding public participation, partnerships, and other approaches to find, understand, and overcome these potentially harmful asteroids.
This paper describes a selection of AGC activities implemented from 2013 to 2017 and their results, excluding those conducted by NASA’s Near-Earth Object Observations Program and other organizations. The strategic development of the initiative is outlined as well as initial successes, strengths, and weaknesses resulting from the first four years of AGC activities and approaches. Finally, we describe lesson learned and areas for continued work and study. The AGC lessons learned and strategies could inform the work of other agencies and organizations seeking to conduct a global scientific investigation with matrixed organizational support, multiple strategic partners, and numerous internal and external open innovation approaches and audiences….(More)”.
Cathie Anderson in the Sacramento Bee: “Tech entrepreneurs and academic researchers are tracking the spread of flu in real-time, collecting data from social media and internet-connected devices that show startling accuracy when compared against surveillance data that public health officials don’t report until a week or two later….
Smart devices and mobile apps have the potential to reshape public health alerts and responses,…, for instance, the staff of smart thermometer maker Kinsa were receiving temperature readings that augured the surge of flu patients in emergency rooms there.
Kinsa thermometers are part of the movement toward the Internet of Things – devices that automatically transmit information to a database. No personal information is shared, unless users decide to input information such as age and gender. Using data from more than 1 million devices in U.S. homes, the staff is able to track fever as it hits and use an algorithm to estimate impact for a broader population….
Computational researcher Aaron Miller worked with an epidemiological team at the University of Iowa to assess the feasibility of using Kinsa data to forecast the spread of flu. He said the team first built a model using surveillance data from the CDC and used it to forecast the spread of influenza. Then the team created a model where they integrated the data from Kinsa along with that from the CDC.
“We got predictions that were … 10 to 50 percent better at predicting the spread of flu than when we used CDC data alone,” Miller said. “Potentially, in the future, if you had granular information from the devices and you had enough information, you could imagine doing analysis on a really local level to inform things like school closings.”
While Kinsa uses readings taken in homes, academic researchers and companies such as sickweather.com are using crowdsourcing from social media networks to provide information on the spread of flu. Siddharth Shah, a transformational health industry analyst at Frost & Sullivan, pointed to an award-winning international study led by researchers at Northeastern University that tracked flu through Twitter posts and other key parameters of flu.
When compared with official influenza surveillance systems, the researchers said, the model accurately forecast the evolution of influenza up to six weeks in advance, much earlier than prior models. Such advance warnings would give health agencies significantly more time to expand upon medical resources or to alert the public to measures they can take to prevent transmission of the disease….
For now, Shah said, technology will probably only augment or complement traditional public data streams. However, he added, innovations already are changing how diseases are tracked. Chronic disease management, for instance, is going digital with devices such as Omada health that helps people with Type 2 diabetes better manage health challenges and Noom, a mobile app that helps people stop dieting and instead work toward true lifestyle change….(More).
Chapter by Sheila Foster and Christian Iaione in Routledge Handbook of the Study of the Commons (Dan Cole, Blake Hudson, Jonathan Rosenbloom eds.): “If cities are the places where most of the world’s population will be living in the next century, as is predicted, it is not surprising that they have become sites of contestation over use and access to urban land, open space, infrastructure, and culture. The question posed by Saskia Sassen in a recent essay—who owns the city?—is arguably at the root of these contestations and of social movements that resist the enclosure of cities by economic elites (Sassen 2015). One answer to the question of who owns the city is that we all do. In our work we argue that the city is a common good or a “commons”—a shared resource that belongs to all of its inhabitants, and to the public more generally.
We have been writing about the urban commons for the last decade, very much inspired by the work of Jane Jacobs and Elinor Ostrom. The idea of the urban commons captures the ecological view of the city that characterizes Jane Jacobs classic work, The Death and Life of Great American Cities. (Foster 2006) It also builds on Elinor Ostrom’s finding that common resources are capable of being collectively managed by users in ways that support their needs yet sustains the resource over the long run (Ostrom 1990).
Jacobs analyzed cities as complex, organic systems and observed the activity within them at the neighborhood and street level, much like an ecologist would study natural habitats and the species interacting within them. She emphasized the diversity of land use, of people and neighborhoods, and the interaction among them as important to maintaining the ecological balance of urban life in great cities like New York. Jacob’s critique of the urban renewal slum clearance programs of the 1940s and 50s in the United States was focused not just on the destruction of physical neighborhoods, but also on the destruction of the “irreplaceable social capital”—the networks of residents who build and strengthen working relationships over time through trust and voluntary cooperation—necessary for “self-governance” of urban neighborhoods. (Jacobs 1961) As political scientist Douglas Rae has written, this social capital is the “civic fauna” of urbanism (Rae 2003)…(More)”.
Christophe Koettl in the New York Times: “In mid-February a source in the human rights community told me that villages in a remote region of the Democratic Republic of Congo were being burned amid a renewal of communal fighting. People fleeing the violence told aid workers of arson attacks.
The clashes between the Hema and Lendu communities — on the eastern side of the Ituri province, bordering Uganda — started in December and escalated in early February.
Historically, these distant conflicts have been difficult to analyze. But new technologies allow us to investigate them in close to real time.
I immediately collected active-fire data from NASA — thermal anomalies, or hot spots, that are recorded daily. It showed dozens of fires on the densely forested mountain ridge and along the shoreline of Lake Albert, one of the African Great Lakes between Congo and Uganda.
(Human rights groups also used this type of data, in combination with other evidence, to document the military’s scorched-earth campaign against the Rohingya in Myanmar.)
Active-fire data does not provide the cause of a fire, so one must exercise caution in interpreting it, especially when researching violence. It is more commonly used to track wildfires and agricultural fires.
The satellites that collect this information do not provide actual images; they only record the location of active fires, and very large ones at that. So don’t get your hopes up about watching your neighbors barbecue from space — we aren’t quite there yet.
Google and other online mapping platforms often show only blurry satellite images, or have no location names for remote areas such as the small fishing villages around Lake Albert. This makes it difficult to find places where people live. To deal with this challenge, I exported residential data from the online mapping site Openstreetmap.
I then overlaid the NASA data with this new data in Google Earth to look for recorded fires that were in or near populated places. This process gave me a shortlist of 10 locations to investigate.
Next, the satellite company DigitalGlobe provided me with high-resolution satellite imagery and analysis of these places. The results were disturbing: All the villages I had identified were at least partially burned, with hundreds of destroyed homes.
As this was not a comprehensive analysis of the whole area affected by violence, the actual number of burned villages is probably much higher. Aid organizations are reporting around 70 burned villages and more than 2,000 destroyed homes.
This new visual evidence provided us with a strong basis to report out the whole story. We now had details from both sides of the lake, not just at the refugee landing site in Uganda….(More)”
Carlos Santiso in Stanford Social Innovation Review: “Will blockchain technology be the next disrupting technology to revolutionize government? Probably not. Can it be a game changer in the global fight against corruption? Possibly so. New technologies are disrupting our lives and transforming government. Governments around the world are going digital, embracing digital innovations to modernize their bureaucracies and recast their relations with citizens. Technology is changing how governments are expected to meet the rising expectations of citizens in terms of quality, speed, and integrity. Digital citizens are expecting more from their governments, demanding better services and greater accountability. Governments struggle to catch up.
Technology has become the greatest ally of transparency, as it allows one to leverage the insights that can be gleaned from the exponential growth of data. Digitally savvy citizens are far less tolerant about corruption and have more means to uncover it. There are heightened and even inflated expectations about the potential of blockchain to improve the delivery of public services and strengthen integrity in government. Pilots and proofs of concept are mushrooming, driven by a myriad of technology-driven start-ups in a wide variety of industries. This enthusiasm is generating intense debate, and an “expectations bubble” is building up rapidly.
Given the hype, it is important to assess both the promises and the pitfalls of blockchain, thinking through what it can and cannot do, based on hard evidence. Initiatives such as blockchan.ge by New York University’s Governance Lab are starting to look closer at whether and how blockchain technologies can be used for social change. Blockchain has emerged first in the financial industry, building on cryptocurrencies such as Bitcoin. The requirements and implications of blockchain in the public sector, however, are yet to be fully understood. Key issues include being clearer about the problems it is expected to address, its advantages compared to alternative digital solutions, its fitness-for-purpose in different institutional contexts, and, ultimately, the value it could add to existing institutions….(More)”
Book edited by This book analyzes the impact of social media on democracy and politics at the subnational level in developed and developing countries. Over the last decade or so, social media has transformed politics. Offering political actors opportunities to organize, mobilize, and connect with constituents, voters, and supporters, social media has become an important tool in global politics as well as a force for democracy. Most of the available research literature focuses on the impact of social media at the national level; this book fills that gap by analyzing the political uses of social media at the sub-national level.
In smart city contexts, voluntary citizen reporting can be a particularly valuable source of information for local authorities. A key question in this regard is what motivates citizens to contribute their data. Drawing on motivation research in social psychology, the paper examines the question of whether self-concern or other-orientation is a stronger driver of citizen reporting engagement.
To test their hypotheses, the authors rely on a sample of users from the mobile application “Zurich as good as new” in Switzerland, which enables citizens to report damages in and other issues with the city’s infrastructure. Data was collected from two different sources: motivation was assessed in an online user survey (n = 650), whereas citizen reporting engagement was measured by the number of reports per user from real platform-use data. The analysis was carried out using negative binomial regression.
The findings suggest that both self-concern and other-orientation are significant drivers of citizen reporting engagement, although the effect of self-concern appears to be stronger in comparison. As such, this study contributes to a better understanding of what motivates citizens to participate in citizen reporting platforms, which are a cornerstone application in many smart cities….(More)”.
The edited volume deals with different contours of data science with special reference to data management for the research innovation landscape. The data is becoming pervasive in all spheres of human, economic and development activity. In this context, it is important to take stock of what is being done in the data management area and begin to prioritize, consider and formulate adoption of a formal data management system including citation protocols for use by research communities in different disciplines and also address various technical research issues. The volume, thus, focuses on some of these issues drawing typical examples from various domains….
In all, there are 21 chapters (with 21st Chapter addressing four different core aspects) written by eminent researchers in the field which deal with key issues of S&T, institutional, financial, sustainability, legal, IPR, data protocols, community norms and others, that need attention related to data management practices and protocols, coordinate area activities, and promote common practices and standards of the research community globally. In addition to the aspects touched above, the national / international perspectives of data and its various contours have also been portrayed through case studies in this volume. …(More)”.
Leila Harris, Jiaying Zhao and Martine Visser in The Conversation: “Cape Town could become the world’s first major city to run out of water – what’s been termed Day Zero….To its credit, the city has worked with researchers at the University of Cape Town to test strategies to nudge domestic users into reducing their water use. Nudges are interventions to encourage behaviour change for better outcomes, or in this context, to achieve environmental or conservation goals.
What key insights could help inform the city’s strategies? Research from psychology and behavioural economics could prove useful to refine efforts and help to achieve further water savings.
The most effective tactics
Research suggests the following types of nudges could be effective in promoting conservation behaviours.
Social norms: International research, as well as studies conducted in Cape Town, suggest that effective conservation can be promoted by giving feedback to consumers on how they perform relative to their neighbours. To this end, Cape Town introduced a water map that highlights homes that are compliant with targets.
The city has also been bundling information on usage with easy to implement water saving tips, something that research has shown to be particularly effective.
Research also suggests that combining behavioural interventions with traditional measures – such as tariff increases and restrictions – are often effective to reduce use in the short-term.
Real-time feedback: Cape Town is presenting the daily water level in major dams on a dashboard. This approach is consistent with research that shows that real-time information can effectively reduce water and energy consumption.
Such efforts could even be more effective if information is highlighted in relation to the critical level that’s been set for Day Zero, in this case 13.5%.
In the early days of a drought, it is also advisable to make information like this readily accessible through news outlets, social media, or even text messages. The water tracker produced by eighty20, a private Cape Town-based company, provides an example.
Social recognition: There’s evidence that efforts to celebrate successes or encourage competition can be effective – for instance, recognising neighbourhoods for meeting conservation targets. Prizes needn’t be monetary. Sometimes simple recognition, such as a certificate, can be effective.
Social recognition was found to be the most successful intervention among nine others nudges tested in research conducted in Cape Town in 2016. In this experiment, households who reduced consumption by 10% were recognised on the city’s website.
Another study showed that competition between the various floors of a government building in the Western Cape led to energy savings of up to 14%.
Cooperation: In the months ahead, the city would also do well to consider the support it might offer to encourage cooperation, particularly as the situation becomes more acute and as tensions rise.
Past studies have shown that social reputation and efforts to promote reciprocity can go a long way to encourage cooperation. The point is argued in a recent article featuring the importance of cooperation among Capetonians across different income groups.
Some residents of Cape Town are already pushing for a cooperative approach such as helping neighbours who might have difficulty travelling to collection points. Support for these efforts should be an important part of policies in the run up to Day Zero. These are often the examples that provide bright spots in challenging times.
Research also suggests that to navigate moments of crisis effectively, clear and trustworthy communication is critical. This also needs to be a priority….(More)“.
Matthew Hutson at Science: “When someone roughs up a pedestrian, robs a store, or kills in cold blood, police want to know whether the perpetrator was a gang member: Do they need to send in a special enforcement team? Should they expect a crime in retaliation? Now, a new algorithm is trying to automate the process of identifying gang crimes. But some scientists warn that far from reducing gang violence, the program could do the opposite by eroding trust in communities, or it could brand innocent people as gang members.
That has created some tensions. At a presentation of the new program this month, one audience member grew so upset he stormed out of the talk, and some of the creators of the program have been tight-lipped about how it could be used….
For years, scientists have been using computer algorithms to map criminal networks, or to guess where and when future crimes might take place, a practice known as predictive policing. But little work has been done on labeling past crimes as gang-related.
In the new work, researchers developed a system that can identify a crime as gang-related based on only four pieces of information: the primary weapon, the number of suspects, and the neighborhood and location (such as an alley or street corner) where the crime took place. Such analytics, which can help characterize crimes before they’re fully investigated, could change how police respond, says Doug Haubert, city prosecutor for Long Beach, California, who has authored strategies on gang prevention.
To classify crimes, the researchers invented something called a partially generative neural network. A neural network is made of layers of small computing elements that process data in a way reminiscent of the brain’s neurons. A form of machine learning, it improves based on feedback—whether its judgments were right. In this case, researchers trained their algorithm using data from the Los Angeles Police Department (LAPD) in California from 2014 to 2016 on more than 50,000 gang-related and non–gang-related homicides, aggravated assaults, and robberies.
The researchers then tested their algorithm on another set of LAPD data. The network was “partially generative,” because even when it did not receive an officer’s narrative summary of a crime, it could use the four factors noted above to fill in that missing information and then use all the pieces to infer whether a crime was gang-related. Compared with a stripped-down version of the network that didn’t use this novel approach, the partially generative algorithm reduced errors by close to 30%, the team reported at the Artificial Intelligence, Ethics, and Society (AIES) conference this month in New Orleans, Louisiana. The researchers have not yet tested their algorithm’s accuracy against trained officers.
It’s an “interesting paper,” says Pete Burnap, a computer scientist at Cardiff University who has studied crime data. But although the predictions could be useful, it’s possible they would be no better than officers’ intuitions, he says. Haubert agrees, but he says that having the assistance of data modeling could sometimes produce “better and faster results.” Such analytics, he says, “would be especially useful in large urban areas where a lot of data is available.”…(More).