Data Revolutionaries: Routine Administrative Data Can Be Sexy Too


Sebastian Bauhoff at Center for Global Development: “Routine operational data on government programs lack sexiness, and are generally not trendy withData Revolutionaries. But unlike censuses and household surveys, routine administrative data are readily available at low cost, cover key populations and service providers, and are generally at the right level of disaggregation for decision-making on payment and service delivery. Despite their potential utility, these data remain an under-appreciated asset for generating evidence and informing policy—a particularly egregious omission given that developing countries can leapfrog old, inefficient approaches for more modern methods to collect and manage data. Verifying receipt of service via biometric ID and beneficiary fingerprint at the point of service? India’s already doing it.

To better make the case for routine data, two questions need to be answered—what exactly can be learned from these data and how difficult are they to use?

In a paper just published in Health Affairs with collaborators from the World Bank and the Government of India, we probed these questions using claims data from India’s National Health Insurance Program, Rashtriya Swasthya Bima Yojana (RSBY). Using the US Medicare program as a comparison, we wondered whether reimbursement claims data that RSBY receives from participating hospitals could be used to study the quality of care provided. The main goal was to see how far we could push on an example dataset of hospital claims from Puri, a district in Orissa state.

Here’s what we learned…(More)”

Evaluating World Bank Support to Budget Analysis and Transparency


Report by Linnea Mills and Clay G. Wescott: “BOOST is a new resource launched in 2010 to facilitate improved quality, classification, and access to budget data and promote effective use for improved government decision making, transparency and accountability. Using the Government’s own data from public expenditure accounts held in the Government’s Financial Management Information System, and benefiting from a consistent methodology, the BOOST data platform makes highly granular fiscal data accessible and ready-for-use. National authorities can significantly enhance fiscal transparency by publishing summary data and analysis or by providing open access to the underlying dataset. This paper addresses four research questions: Did BOOST help improve the quality of expenditure analysis available to government decision makers? Did it help to develop capacity in central finance and selected spending agencies to sustain expenditure analysis? Did it help to improve public access to expenditure analysis anddata? Did it help to increase awareness of the opportunities for BOOST and expenditure analysis in Sub-Saharan Africa as well as countries outside this region where BOOST has been used (Georgia, Haiti and Tunisia).

Evidence has been drawn from various sources. Survey questionnaires were sent to all World Bank task team leaders for Gates Trust Fund supported countries. Completed questionnaires were received from 18 predominantly African countries (Annex 4). These 18 countries constitute the majority but not all of the countries implementing BOOST with financial support from the Trust Fund. Information has also been gathered through a BOOST stakeholder questionnaire targeting government officials, civil society representatives and representatives from parliaments at country level, field visits to Kenya, Mozambique and Uganda, interviews with stakeholders at the Bank and at country level, participation at regional conferences on BOOST in South Africa and Senegal, and document review. Interviews covered participants from some countries that did not complete questionnaires, such as Haiti.

The research will help to inform the Bill and Melinda Gates Foundation, and the World Bank, the administrator of the trust fund on the achievements of the program, and the value of continuing support. It will inform client country Governments, and non-Government actors interested in improved dissemination and analysis of quality public financial data. The research should also be useful for vendors of similar products like OpenGov; and to international scholars and experts working to better understand public expenditure management in developing countries….(More)”

The challenges and limits of big data algorithms in technocratic governance


Paper by Marijn Janssen and George Kuk in Government Information Quarterly: “Big data is driving the use of algorithm in governing mundane but mission-critical tasks. Algorithms seldom operate on their own and their (dis)utilities are dependent on the everyday aspects of data capture, processing and utilization. However, as algorithms become increasingly autonomous and invisible, they become harder for the public to detect and scrutinize their impartiality status. Algorithms can systematically introduce inadvertent bias, reinforce historical discrimination, favor a political orientation or reinforce undesired practices. Yet it is difficult to hold algorithms accountable as they continuously evolve with technologies, systems, data and people, the ebb and flow of policy priorities, and the clashes between new and old institutional logics. Greater openness and transparency do not necessarily improve understanding. In this editorial we argue that through unraveling the imperceptibility, materiality and governmentality of how algorithms work, we can better tackle the inherent challenges in the curatorial practice of data and algorithm. Fruitful avenues for further research on using algorithm to harness the merits and utilities of a computational form of technocratic governance are presented….(More)

 

Living labs: Implementing open innovation in the public sector


Paper by Mila Gascó in Government Information Quarterly: “Public sector innovation is an important issue in the agenda of policymakers and academics but there is a need for a change of perspective, one that promotes a more open model of innovating, which takes advantage of the possibilities offered by collaboration between citizens, entrepreneurs and civil society as well as of new emerging technologies. Living labs are environments that can support public open innovation processes.

This article makes a practical contribution to understand the role of living labs as intermediaries of public open innovation. The analysis focuses on the dynamics of these innovation intermediaries, their outcomes, and their main challenges. In particular, it adopts a qualitative approach (fourteen semi-structured interviews and one focus group were conducted) in order to analyze two living labs: Citilab in the city of Cornellà and the network of fab athenaeums (public fab labs) in the city of Barcelona, both in Spain. After a thorough analysis of the attributes of these living labs, the article concludes that 1) living labs provide the opportunity for public agencies to meet with private sector organizations and thus function as innovation intermediaries, 2) implementing an open innovation perspective is considered more important than obtaining specific innovation results, and 3) scalability and sustainability are the main problems living labs encounter as open innovation intermediaries….(More)”

Citizen engagement in rulemaking — evidence on regulatory practices in 185 countries


Paper by Johns,Melissa Marie and Saltane,Valentina for the World Bank: “… presents a new database of indicators measuring the extent to which rulemaking processes are transparent and participatory across 185 countries. The data look at how citizen engagement happens in practice, including when and how governments open the policy-making process to public input. The data also capture the use of ex ante assessments to determine the possible cost of compliance with a proposed new regulation, the likely administrative burden of enforcing the regulation, and its potential environmental and social impacts. The data show that citizens have more opportunities to participate directly in the rulemaking process in developed economies than in developing ones. Differences are also apparent among regions: rulemaking processes are significantly less transparent and inclusive in Sub-Saharan Africa, the Middle East and North Africa, and South Asia on average than in Organisation for Economic Co-operation and Development high-income countries, Europe and Central Asia, and East Asia and the Pacific. In addition, ex ante impact assessments are much more common among higher-income economies than among lower-income ones. And greater citizen engagement in rulemaking is associated with higher-quality regulation, stronger democratic regimes, and less corrupt institutions….(More)”

Playful Cities: Crowdsourcing Urban Happiness with Web Games


Daniele Quercia in Built Environment: “It is well known that the layout and configuration of urban space plugs directly into our sense of community wellbeing. The twentieth-century city planner Kevin Lynch showed that a city’s dwellers create their own personal ‘mental maps’ of the city based on features such as the routes they use and the areas they visit. Maps that are easy to remember and navigate bring comfort and ultimately contribute to people’s wellbeing. Unfortunately, traditional social science experiments (including those used to capture mental maps) take time, are costly, and cannot be conducted at city scale. This paper describes how, starting in mid-2012, a team of researchers from a variety of disciplines set about tackling these issues. They were able to translate a few traditional experiments into 1-minute ‘web games with a purpose’. This article describes those games, the main insights they offer, their theoretical implications for urban planning, and their practical implications for improvements in navigation technologies….(More)”

Measuring Scientific Impact Beyond Citation Counts


Robert M. Patton, Christopher G. Stahl and Jack C. Wells at DLib Magazine: “Measuring scientific progress remains elusive. There is an intuitive understanding that, in general, science is progressing forward. New ideas and theories are formed, older ideas and theories are confirmed, rejected, or modified. Progress is made. But, questions such as how is it made, by whom, how broadly, or how quickly present significant challenges. Historically, scientific publications reference other publications if the former publication in some way shaped the work that was performed. In other words, one publication “impacted” a latter one. The implication of this impact revolves around the intellectual content of the idea, theory, or conclusion that was formed. Several metrics such as h-index or journal impact factor (JIF) are often used as a means to assess whether an author, article, or journal creates an “impact” on science. The implied statement behind high values for such metrics is that the work must somehow be valuable to the community, which in turn implies that the author, article, or journal somehow has influenced the direction, development, or progress of what others in that field do. Unfortunately, the drive for increased publication revenue, research funding, or global recognition has lead to a variety of external factors completely unrelated to the quality of the work that can be used to manipulate key metric values. In addition, advancements in computing and data sciences field have further altered the meaning of impact on science.

The remainder of this paper will highlight recent advancements in both cultural and technological factors that now influence scientific impact as well as suggest new factors to be leveraged through full content analysis of publications….(More)”

Leveraging Mixed Expertise in Crowdsourcing


Dissertation by David Merritt: “Crowdsourcing systems promise to leverage the “wisdom of crowds” to help solve many kinds of problems that are difficult to solve using only computers. Although a crowd of people inherently represents a diversity of skill levels, knowledge, and opinions, crowdsourcing system designers typically view this diversity as noise and effectively cancel it out by aggregating responses. However, we believe that by embracing crowd workers’ diverse expertise levels, system designers can better leverage that knowledge to increase the wisdom of crowds. In this thesis, we propose solutions to a limitation of current crowdsourcing approaches: not accounting for a range of expertise levels in the crowd. The current body of work in crowdsourcing does not systematically examine this, suggesting that researchers may not believe the benefits of using mixed expertise warrants the complexities of supporting it. This thesis presents two systems, Escalier and Kurator, to show that leveraging mixed expertise is a worthwhile endeavor because it materially benefits system performance, at scale, for various types of problems. We also demonstrate an effective technique, called expertise layering, to incorporate mixed expertise into crowdsourcing systems. Finally, we show that leveraging mixed expertise enables researchers to use crowdsourcing to address new types of problems….(More)”

Informed Choice? Motivations and methods of data usage among public officials in India


Report by Rwitwika Bhattacharya and Mohitkumar Daga: “The importance of data in informing the policy-making process is being increasingly realized across the world. With India facing significant developmental challenges, use of data offers an important opportunity to improve the quality of public services. However, lack of formal structures to internalize a data-informed decision-making process impedes the path to robust policy formation. This paper seeks to highlight these challenges through a case study of data dashboard implementation in the state of Andhra Pradesh. The study suggests the importance of capacity building, improvement of data collection and engagement of non-governmental players as measures to address issues….(More)”

Designing the Next Generation of Open Data Policy


Andrew Young and Stefaan Verhulst at the Open Data Charter Blog: “The international Open Data Charter has emerged from the global open data community as a galvanizing document to place open government data directly in the hands of citizens and organizations. To drive this process forward, and ensure that the outcomes are both systemic and transformational, new open data policy needs to be based on evidence of how and when open data works in practice. To support this work, the GovLab, in collaboration with Omidyar Network, has recently completed research which provides vital evidence of open data projects around the world, including an analysis of 19 in-depth, impact-focused case studies and a key findings paper. All of the research is now available in an eBook published by O’Reilly Media.

The research found that open data is making an impact in four core ways, including:…(More)”