Collection

Can These Entrepreneurs Solve The Intractable Problems Of City Government?

Curated on November 25, 2013May 29, 2019 by Stefaan Verhulst

FastCoExist: “In case the recent Obamacare debacle didn’t make it clear enough, the government has some serious problems getting technology to work correctly. This is something that President Obama has recognized in the past. In July, he made this statement: “I’m going to be asking more people around the country–more inventors and entrepreneurs and visionaries–to sign up to serve. We’ve got to have the brightest minds to help solve our biggest challenges.”
In San Francisco, that request has been taken on by the newly minted Entrepreneur-in-Residence (EIR) program–the first ever government-run program that helps startups to develop technologies that can be used to deal with pressing government issues. It’s kind of like a government startup incubator. This week, the EIR program announced 11 finalists for the program, which received 200 applications from startups across the world. Three to five startups will ultimately be chosen for the opportunity….
The 11 finalists range from small startups with just a handful of people doing cutting-edge work to companies valued at over $1 billion. Some of the highlights:

Arrive Labs, a company that crowdsources public transit data and combines it with algorithms and external conditions (like the weather) to predict congestion, and to offer riders faster alternatives.
A startup called Regroup that offers group messaging through a number of channels, including email, text, Facebook, Twitter, and digital signs.
Smart waste management company Compology, which is working on a wireless waste monitoring system to tell officials what’s inside city dumpsters and when they are full.
Birdi, a startup developing smart air quality, carbon monoxide, and smoke detectors that send alerts to your smartphone. The company also has an open API so that developers can pull in public outdoor air quality data.
Synthicity’s 3-D digital city simulation (think “real-life Simcity”), which is based on urban datasets. The simulation is geared towards transportation planners, urban designers, and others who rely on city data to make decisions…”

6 Projects That Make Data More Accessible Win $100,000 Each From Gates

Curated on November 25, 2013August 15, 2018 by Stefaan Verhulst

Chronicle of Philanthropy: “Six nonprofit projects that aim to combine multiple sets of data to help solve social problems have each won $100,000 grants from the Bill & Melinda Gates Foundation…The winners:
• Pushpa Aman Singh, who founded GuideStar India as an effort of the Civil Society Information Services India. GuideStar India is the most comprehensive database of India’s registered charities. It has profiles of more than 4,000 organizations, and Ms. Singh plans to expand that number and the types of information included.
• Development Initiatives, an international aid organization, to support its partnership with the Ugandan nonprofit Development Research and Training. Together, they are trying to help residents of two districts in Uganda identify a key problem the communities face and use existing data sets to build both online and offline tools to help tackle that challenge…
• H.V. Jagadish, at the University of Michigan, to develop a prototype that will merge sets of incompatible geographic data to make them comparable. Mr. Jagadish, a professor of electrical engineering and computer science, points to crime precincts and school districts as an example. “We want to understand the impact of education on crime, but the districts don’t quite overlap with the precincts,” he says. “This tool will address the lack of overlap.”
• Vijay Modi, at Columbia University, to work with government agencies and charities in Nigeria on a tool similar to Foursquare, the social network that allows people to share their location with friends. Mr. Modi, a mechanical-engineering professor and faculty member of the university’s Earth Institute, envisions a tool that will help people find important resources more easily…
• Gisli Olafsson and his team at NetHope, a network of aid organizations. The group is building a tool to help humanitarian charities share their data more widely and in real time—potentially saving more lives during disasters…
• Development Gateway, a nonprofit that assists international development charities with technology, and GroundTruth Initiative, a nonprofit that helps residents of communities learn mapping and media skills. The two groups want to give people living in the slums of Nairobi, Kenya, more detailed information about local schools…”

Generating Value from Open Government Data

Curated on November 24, 2013August 3, 2018 by Stefaan Verhulst

New paper by Thorhildur Jetzek, Michel Avital, and Niels Bjørn-Andersen: “A driving force for change in society is the trend towards Open Government Data (OGD). While the value generated by OGD has been widely discussed by public bodies and other stakeholders, little attention has been paid to this phenomenon in the academic literature. Hence, we developed a conceptual model portraying how data as a resource can be transformed to value. We show the causal relationships between four contextual, enabling factors, four types of value generation mechanisms and value. We use empirical data from 61 countries to test these relationships, using the PLS method. The results mostly support the hypothesized relationships. Our conclusion is that if openness is complemented with resource governance, capabilities in society and technical connectivity, use of OGD will stimulate the generation of economic and social value through four different archetypical mechanisms: Efficiency, Innovation, Transparency and Participation.”

The Open Government Illusion

Curated on November 23, 2013August 3, 2018 by Stefaan Verhulst

Katherine Barrett and Richard Greene in GOVERNING: “The easier it is for us to find important information about cities, counties and states, the better we’re able to report on topics of interest to our readers. But transparency isn’t just about us. It can help citizen organizations, good government bodies, advocacy groups, the press at large and even the general public. What’s more, accessible information makes it easier for legislators and city council members to drill down to the facts, creating more capacity for informed decision-making.
To be sure, progress has been made on a number of transparency fronts, and we certainly appreciate the additional data we’re able to find easily each year. That said, from our personal experience and conversations with experts in the field, much of the talk about heightened transparency in government is more rhetoric than reality.
Take so-called “online spending transparency,” or Web-based checkbooks that offer a clear and simple way to see where tax dollars are going. All 50 states have them. Optimally users would get, according to the nonprofit U.S. Public Interest Research Group (PIRG), a host of “checkbook-level information about expenditures including those made through contracts, grants, tax credits and other discretionary spending.”
Sounds swell, and in fact, PIRG’s studies of the 50 states have revealed consistent improvement. Each year, the organization has raised the bar on its criteria for grading the states. Still, in its most recent work, five states were given an F: California, Hawaii, North Dakota, Wisconsin and Wyoming. According to Phineas Baxandall, senior analyst for U.S. PIRG, in lagging and failing states—the dozen that got D’s and F’s—“you’ll find PDFs instead of searchable, sortable databases; you’ll find much more partial information about departments, and they generally don’t integrate economic subsidies.”
When it comes to disclosures of any kind there’s a huge chunk of information that’s as transparent as a window with the blinds closed. This includes a host of entities that generally don’t get their cash through the general fund. Starting the list are affiliated not-for-profits set up to provide government services and often funded through so-called “corporate funds” or grants, as well as public-private partnerships, authorities and a variety of other quasi-governmental bodies.”

An Experiment in Hiring Discrimination Via Online Social Networks

Curated on November 23, 2013December 6, 2018 by Stefaan Verhulst

Paper by Acquisti, Alessandro and Fong, Christina: “Surveys of U.S. employers suggest that numerous firms seek information about job applicants online. However, little is known about how this information gathering influences employers’ hiring behavior. We present results from two complementary randomized experiments (a field experiment and an online experiment) on the impact of online information on U.S. firms’ hiring behavior. We manipulate candidates’ personal information that is protected under either federal laws or some state laws, and may be risky for employers to enquire about during interviews, but which may be inferred from applicants’ online social media profiles. In the field experiment, we test responses of over 4,000 U.S. employers to a Muslim candidate relative to a Christian candidate, and to a gay candidate relative to a straight candidate. We supplement the field experiment with a randomized, survey-based online experiment with over 1,000 subjects (including subjects with previous human resources experience) testing the effects of the manipulated online information on hypothetical hiring decisions and perceptions of employability. The results of the field experiment suggest that a minority of U.S. firms likely searched online for the candidates’ information. Hence, the overall effect of the experimental manipulations on interview invitations is small and not statistically significant. However, in the field experiment, we find evidence of discrimination linked to political party affiliation. Specifically, following the Gallup Organization’s segmentation of U.S. states by political ideology, we use results from the 2012 presidential election and find evidence of discrimination against the Muslim candidate compared to the Christian candidate among employers in more Romney-leaning states and counties. These results are robust to controlling for firm characteristics, state fixed effects, and a host of county-level variables. We find no evidence of discrimination against the gay candidate relative to the straight candidate. Results from the online experiment are consistent with those from the field experiment: we find more evidence of bias among subjects more likely to self-report more political conservative party affiliation. The online experiment’s results are also robust to controlling for demographic variables. Results from both experiments should be interpreted carefully. Because politically conservative states and counties in our field experiment, and more conservative party affiliation in our online experiment, are not randomly assigned, the result that discrimination is greater in more politically conservative areas and among more politically conservative online subjects should be interpreted as correlational, not causal.”

Open Data and Citizen Engagement – Disentangling the Relationship

Curated on November 22, 2013August 3, 2018 by Stefaan Verhulst

Tiago Peixoto: “…Within an ecosystem that combines transparency and participation, examining the relationship between the two becomes essential. More specifically, a clearer understanding of the interaction between open data and participatory institutions remains a frontier to be explored….

R&D for Data-Driven Participation

Coming up with clear hypotheses and testing them is essential if we are to move forward with the ecosystem that brings together open data, participation and accountability. Surely, many organizations working in the open government space are operating with limited resources, squeezing their budgets to keep their operational work going. In this sense, conducting experiments to test hypotheses may appear as a luxury that very few can afford.
Nevertheless, one of the opportunities provided by the use of technologies for civic behavior is that of potentially driving down the costs for experimentation. For instance, online and mobile experiments could play the role of tech-enabled (and affordable) randomized controlled trials, improving our understanding of how open data can be best used to spur collective action. Thinking of the ways in which technology can be used to conduct lowered costs experiments to shed light on behavioral and causal chains is still limited to a small number of people and organizations, and much work is needed on that front.
Yet, it is also important to acknowledge that experiments are not the only source of relevant knowledge. To stick with a simple example, in some cases even an online survey trying to figure out who is accessing data, what data they use, and how they use it may provide us with valuable knowledge about the interaction between open data and citizen action. In any case, however, it may be important that the actors working in that space agree upon a minimal framework that facilitates comparison and incremental learning: the field of technology for accountability desperately needs a more coordinated research agenda.

Citizen Data Platforms?

As more and more players engage in participatory initiatives, there is a significant amount of citizen-generated data being collected, which is important on its own. However, in a similar vein to government data, the potential of citizen data may be further unlocked if openly available to third parties who can learn from it and build upon it. In this respect, it might not be long before we realize the need to have adequate structures and platforms to host this wealth of data that – hopefully – will be increasingly generated around the world. This would entail that not only governments open up their data related to citizen engagement initiatives, but also that other actors working in that field – such as donors and NGOs – do the same. Such structures would also be the means by which lessons generated by experiments and other approaches are widely shared, bringing cumulative knowledge to the field.
However, as we think of future scenarios, we should not lose sight of current challenges and knowledge gaps when it comes to the relationship between citizen engagement and open data. Better disentangling the relationship between the two is the most immediate priority, and a long overdue topic in the open government conversation.”

Kick the data secrecy habit and everyone wins

Curated on November 22, 2013August 3, 2018 by Stefaan Verhulst

New Scientist: “Freely available information has the power to make and save money and enhance our daily life, says Nigel Shadbolt of the Open Data Institute…
What kind of things do these start-ups do?
Our first success was with data analytics company Mastadon C, which used public information to look at doctors’ prescribing habits for cholesterol-lowering drugs. They found that by switching from brand names to generic drugs, doctors could save the NHS more than £200 million a year.
Have you looked at other public resources?
Another start-up, Placr, is unifying timetables and live departure and disruption information for UK bus, rail, underground, ferry and tram services. It uses feeds from many organisations to provide an app for travellers and services for local authorities. A recent review in London – where Transport for London has made lots of its data open – showed that millions of journeys are being altered to avoid disruptions on the basis of this information. Time savings alone add up to £58 million a year.
Is there a danger of creating more big companies that will turn into monopolies?
We want companies that use open data to make money, and they will try to defend their patches. But if we leave the data open, others can exploit it too. Nobody can own or monopolise the data. I think we can make more money and create more benefit by making data open, and I’m sure we will even dislodge a few monopolies along the way.”

New Visions in Citizen Science

Curated on November 21, 2013August 3, 2018 by Stefaan Verhulst

New Report by Anne Bowser and Lea Shanley for the Commons Lab within Science and Technology Innovation Program, Woodrow Wilson Center, with the support of the Alfred P. Sloan Foundation: “Citizen science is one form of open innovation, a paradigm where organizations solicit the efforts of external contributors with unique perspectives who generate new knowledge and technology, or otherwise bolster organizational resources. Recent executive branch policies encourage and support open innovation in the federal government. The President’s 2009 Memorandum on Transparency and Open Government charged agencies with taking specific action to support transparency, public participation, and collaboration. Similarly, the Obama Administration’s 2013 Memorandum on Open Data Policy—Managing Information as an Asset instructs agencies to support these principles by sharing government data sets. The Preview Report for the Second Open Government National Action Plan, released October 31, 2013, specifically states that the United States will commit to “harness the ingenuity of the public by enabling, accelerating, and scaling the use of open innovation methods such as incentive prizes, crowdsourcing, and citizen science within the Federal Government.”
This report showcases seventeen case studies that offer a mosaic view of federally-sponsored citizen science and open innovation projects, from in-the-field data collection to online games for collective problem-solving. Its goal is not to provide line-by-line instructions for agencies attempting to create or expand projects of their own; each agency has a unique mission with distinct challenges that inform project designs. Rather, it offers a sampling of different models that support public contribution, potential challenges, and positive impacts that projects can have on scientific literacy, research, management, and public policy.
Some case studies represent traditional but well-executed projects that illustrate how citizen science functions at its best, by contributing to robust scientific research. Other projects, such as the National Aeronautics and Space Administration (NASA)’s International Space Apps Challenge, evolve from these traditional models, demonstrating how open innovation can address agency-specific challenges in new and compelling ways. Through this progression, the evolution of citizen science begins to take shape, and the full possibilities of open innovation begin to emerge.”