Policy Impacts

Curated on Posted on by Stefaan Verhulst

About: “Over the past 50 years, researchers have made great strides in analyzing public policy. With better data and improved research methods, we know more than ever about the impacts of government spending.

But despite these advances, it remains surprisingly challenging to answer basic questions about which policies have been most effective.

The difficulty arises because methods for evaluating policy effectiveness are not standardized. This makes it challenging, if not impossible, to compare and contrast across different policies.

Policy Impacts seeks to promote a unified approach for policy evaluation. We seek to promote the Marginal Value of Public Funds, a standardized metric for policy evaluation. We have created the Policy Impacts library, a collaborative effort to track the returns to a wide range of government policies…(More).

Why don’t they ask us? The role of communities in levelling up

Curated on Posted on by Stefaan Verhulst

Report by the Institute of Community Studies: “We are delighted to unveil a landmark research report, Why don’t they ask us? The role of communities in levelling up. The new report reveals that current approaches to regeneration and economic transformation are not working for the majority of local communities and their economies.

Its key findings are that:

  • Interventions have consistently failed to address the most deprived communities, contributing to a 0% average change in the relative spatial deprivation of the most deprived local authorities areas;
  • The majority of ‘macro funds’ and economic interventions over the last two decades have not involved communities in a meaningful nor sustainable way;
  • The focus of interventions to build local economic resilience typically concentrate on a relatively small number of approaches, which risks missing crucial dimensions of local need, opportunity and agency, and reinforcing gaps between the national and the hyper-local;
  • Interventions have tended to concentrate on ‘between-place’ spatial disparities in economic growth at the expense of ‘within-place’ inequalities that exist inside local authority boundaries, which is where the economic strength or weakness of a place is most keenly felt by communities.
  • Where funds and interventions have had higher levels of community involvement, these have typically been disconnected from the structures where decisions are taken, undermining their aim of building community power into local economic solutions…(More)”.

Seek diversity to solve complexity

Curated on Posted on by Stefaan Verhulst

Katrin Prager at Nature: “As a social scientist, I know that one person cannot solve a societal problem on their own — and even a group of very intelligent people will struggle to do it. But we can boost our chances of success if we ensure not only that the team members are intelligent, but also that the team itself is highly diverse.

By ‘diverse’ I mean demographic diversity encompassing things such as race, gender identity, class, ethnicity, career stage and age, and cognitive diversity, including differences in thoughts, insights, disciplines, perspectives, frames of reference and thinking styles. And the team needs to be purposely diverse instead of arbitrarily diverse.

In my work I focus on complex world problems, such as how to sustainably manage our natural resources and landscapes, and I’ve found that it helps to deliberately assemble diverse teams. This effort requires me to be aware of the different ways in which people can be diverse, and to reflect on my own preferences and biases. Sometimes the teams might not be as diverse as I’d like. But I’ve found that making the effort not only to encourage diversity, but also to foster better understanding between team members reaps dividends….(more)”

How to be a good ancestor

Curated on Posted on by Stefaan Verhulst

Article by Sigal Samuel: “In 2015, 20 residents of Yahaba, a small town in northeastern Japan, went to their town hall to take part in a unique experiment.

Their goal was to design policies that would shape the future of Yahaba. They would debate questions typically reserved for politicians: Would it be better to invest in infrastructure or child care? Should we promote renewable energy or industrial farming?

But there was a twist. While half the citizens were invited to be themselves and express their own opinions, the remaining participants were asked to put on special ceremonial robes and play the part of people from the future. Specifically, they were told to imagine they were from the year 2060, meaning they’d be representing the interests of a future generation during group deliberations.

What unfolded was striking. The citizens who were just being themselves advocated for policies that would boost their lifestyle in the short term. But the people in robes advocated for much more radical policies — from massive health care investments to climate change action — that would be better for the town in the long term. They managed to convince their fellow citizens that taking that approach would benefit their grandkids. In the end, the entire group reached a consensus that they should, in some ways, act against their own immediate self-interest in order to help the future.

This experiment marked the beginning of Japan’s Future Design movement. What started in Yahaba has since been replicated in city halls around the country, feeding directly into real policymaking. It’s one example of a burgeoning global attempt to answer big moral questions: Do we owe it to future generations to take their interests into account? What does it look like to incorporate the preferences of people who don’t even exist yet? How can we be good ancestors?…(More)”.

The Diffusion of Disruptive Technologies

Curated on Posted on by Stefaan Verhulst

Paper by Nicholas Bloom, Tarek Alexander Hassan, Aakash Kalyani, Josh Lerner & Ahmed Tahoun: “We identify novel technologies using textual analysis of patents, job postings, and earnings calls. Our approach enables us to identify and document the diffusion of 29 disruptive technologies across firms and labor markets in the U.S. Five stylized facts emerge from our data. First, the locations where technologies are developed that later disrupt businesses are geographically highly concentrated, even more so than overall patenting. Second, as the technologies mature and the number of new jobs related to them grows, they gradually spread across space. While initial hiring is concentrated in high-skilled jobs, over time the mean skill level in new positions associated with the technologies declines, broadening the types of jobs that adopt a given technology. At the same time, the geographic diffusion of low-skilled positions is significantly faster than higher-skilled ones, so that the locations where initial discoveries were made retain their leading positions among high-paying positions for decades. Finally, these technology hubs are more likely to arise in areas with universities and high skilled labor pools….(More)”

Transparency’s AI Problem

Curated on Posted on by Stefaan Verhulst

Paper by Hannah Bloch-Wehba: “A consensus seems to be emerging that algorithmic governance is too opaque and ought to be made more accountable and transparent. But algorithmic governance underscores the limited capacity of transparency law—the Freedom of Information Act and its state equivalents—to promote accountability. Drawing on the critical literature on “open government,” this Essay shows that algorithmic governance reflects and amplifies systemic weaknesses in the transparency regime, including privatization, secrecy, private sector cooptation, and reactive disclosure. These deficiencies highlight the urgent need to reorient transparency and accountability law toward meaningful public engagement in ongoing oversight. This shift requires rethinking FOIA’s core commitment to public disclosure of agency records, exploring instead alternative ways to empower the public and to shed light on decisionmaking. The Essay argues that new approaches to transparency and accountability for algorithmic governance should be independent of private vendors, and ought to adequately represent the interests of affected individuals and communities. These considerations, of vital importance for the oversight of automated systems, also hold broader lessons for efforts to recraft open government obligations in the public interest….(More)”

Sovereignty and Data Localization

Curated on Posted on by Stefaan Verhulst

Paper by Emily Wu: “Data localization policies impose obligations on businesses to store and process data locally, rather than in servers located overseas. The adoption of data localization laws has been increasing, driven by the fear that a nation’s sovereignty will be threatened by their inability to exert full control over data stored outside their borders. This is particularly relevant to the US given its dominance in many areas of the digital ecosystem including artificial intelligence and cloud computing.

Unfortunately, data localization policies are causing more harm than good. They are ineffective at improving security, do little to simplify the regulatory landscape, and are causing economic harms to the markets where they are imposed. In order to move away from these policies, the fear of sovereignty dilution must be addressed by alternative means. This will be achieved most effectively by focusing on both technical concerns and value concerns.

To address technical concerns, the US should:

1. Enact a federal national privacy law to reduce the fears that foreign nations have about the power of US tech companies.

2. Mandate privacy and security frameworks by industry to demonstrate the importance that US industry places on privacy and security, recognizing it as fundamental to their business success.

3. Increase investment in cybersecurity to ensure that in a competitive market, the US has the best offering in both customer experience and security assurance

4. Expand multi-lateral agreements under CLOUD Act to help alleviate the concerns that data stored by US companies will be inaccessible to foreign governments in relevant to a criminal investigation…(More)”

Enhancing teacher deployment in Sierra Leone: Using spatial analysis to address disparity

Curated on Posted on by Stefaan Verhulst

Blog by Paul Atherton and Alasdair Mackintosh:”Sierra Leone has made significant progress towards educational targets in recent years, but is still struggling to ensure equitable access to quality teachers for all its learners. The government is exploring innovative solutions to tackle this problem. In support of this, Fab Inc. has brought their expertise in data science and education systems, merging the two to use spatial analysis to unpack and explore this challenge….

Figure 1: Pupil-teacher ratio for primary education by district (left); and within Kailahun district, Sierra Leone, by chiefdom (right), 2020.

maps

Source: Mackintosh, A., A. Ramirez, P. Atherton, V. Collis, M. Mason-Sesay, & C. Bart-Williams. 2019. Education Workforce Spatial Analysis in Sierra Leone. Research and Policy Paper. Education Workforce Initiative. The Education Commission.

…Spatial analysis, also referred to as geospatial analysis, is a set of techniques to explain patterns and behaviours in terms of geography and locations. It uses geographical features, such as distances, travel times and school neighbourhoods, to identify relationships and patterns.

Our team, using its expertise in both data science and education systems, examined issues linked to remoteness to produce a clearer picture of Sierra Leone’s teacher shortage. To see how the current education workforce was distributed across the country, and how well it served local populations, we drew on geo-processed population data from the Grid-3 initiative and the Government of Sierra Leone’s Education Data Hub. The project benefited from close collaboration with the Ministry and Teaching Service Commission (TSC).

Our analysis focused on teacher development, training and the deployment of new teachers across regions, drawing on exam data. Surveys of teacher training colleges (TTCs) were conducted to assess how many future teachers will need to be trained to make up for shortages. Gender and subject speciality were analysed to better address local imbalances. The team developed a matching algorithm for teacher deployment, to illustrate how schools’ needs, including aspects of qualifications and subject specialisms, can be matched to teachers’ preferences, including aspects of language and family connections, to improve allocation of both current and future teachers….(More)”

Future Directions for Citizen Science and Public Policy

Curated on Posted on by Stefaan Verhulst

Open Access Book by The Centre for Science and Policy: “…The OED tells us that citizen science is “scientific work undertaken by members of the general public, often in collaboration with or under the direction of professional scientists and scientific institutions.” However, even this definition raises many questions for policy makers trying to figure out how they might make use of it: “What is the difference between a volunteer in a scientific study and a citizen scientist?” they might ask. “Are all forms of public engagement with science considered citizen science?” or “What does it look like in practice?” – or even “Why do I need to bother engaging citizen science at all?”

This collection of essays presents a range of perspectives on these questions, and we hope it will encourage greater use of citizen science by governments. The authors have been brought together by the Centre for
Science and Policy (CSaP) through a series of seminars, lectures and an online conference. Three observations were made time and again:

  • First, there has been an extraordinary flourishing of citizen science during the past two decades. Huge numbers have participated in projects ranging from spotting patterns in protein structures to monitoring local air pollution; from garden bird surveys to deciphering the handwritten notes from the archives of philosophers; and from tracing radioactive contamination to spotting new planets in distant galaxies.
  • Second, there is a growing imperative in government to find new ways to involve citizens as partners in the development and delivery of policy.
  • Third, that while public funds have supported the expansion of citizen science’s contributions to scientific research, there have been surprisingly few experiments drawing on citizen science to contribute to the business of government itself…(More)”

Are we all social scientists now? The rise of citizen social science raises more questions about social science than it answers

Curated on Posted on by Stefaan Verhulst

Blog by Alexandra Albert: “…In many instances people outside of the academy can and do, do social research even when they do not consider what they are doing to be social research, since that is perceived to be the preserve of ‘experts’. What is it about social science that makes it a skilful and expert activity, and how or why is it practiced in a way that makes it difficult to do? CSS produces tensions between the ideals of inclusion of social actors in the generation of information about the everyday, and the notion that many participants do not necessarily feel entitled, or empowered, to participate in the analysis of this information, or in the interpretation of what it means. For example, in the case of the Empty Houses project, set up to explore some of these issues discussed here in more detail, some participants suggested they did not feel comfortable reporting on empty houses because they found them hard to identify and assumed that some prior knowledge or ‘expertise’ was required. CSS is the perfect place to interrogate these tensions since it challenges the closed nature of social science.

Second, CSS blurs the roles between researchers and researched, creating new responsibilities for participants and researchers alike. A notable distinction between expert and non-expert in social science research is the critique of the approach and the interpretation or analysis of the data. However, the way that traditional social science is done, with critical analysis being the preserve of the trained expert, means that many participants do not feel that it is their role to do the analysis. Does the professionalisation of observational techniques constitute a different category of sociological data that means that people need to be trained in formal and distinct sociological ways of collecting and analysing data? This is a challenge for research design and execution in CSS, and the potentially new perspectives that participating in CSS can engender.

Third, in addressing social worlds, CSS questions whether such observations are just a regular part of people’s everyday lives, or whether they entail a more active form of practice in observing everyday life. In this sense, what does it really mean to participate? Is there a distinction between ‘active’ and ‘passive’ observation? Arguably participating in a project is never just about this – it’s more of a conscious choice, and therefore, in some respects, a burden of some sort. This further raises the issue of how to appropriately compensate participants for their time and energy, potentially as co-researchers in a project and co-authors on papers?

Finally, while CSS can rearrange the power dynamics of citizenship, research and knowing, narratives of ‘duty’ to take part, and to ‘do your bit’, necessarily place a greater burden on the individual and raise questions about the supposed emancipatory potential of participatory methods such as CSS….(More)”