Paper by Justine Zhang et al: “One of the main challenges online social systems face is the prevalence of antisocial behavior, such as harassment and personal attacks. In this work, we introduce the task of predicting from the very start of a conversation whether it will get out of hand. As opposed to detecting undesirable behavior after the fact, this task aims to enable early, actionable prediction at a time when the conversation might still be salvaged.
To this end, we develop a framework for capturing pragmatic devices—such as politeness strategies and rhetorical prompts—used to start a conversation, and analyze their relation to its future trajectory. Applying this framework in a controlled setting, we demonstrate the feasibility of detecting early warning signs of antisocial behavior in online discussions…. (More)”.
Inclusive Innovation in Biohacker Spaces: The Role of Systems and Networks
Paper by Jeremy de Beer and Vipal Jain in Technology Innovation Management Review: “The biohacking movement is changing who can innovate in biotechnology. Driven by principles of inclusivity and open science, the biohacking movement encourages sharing and transparency of data, ideas, and resources. As a result, innovation is now happening outside of traditional research labs, in unconventional spaces – do-it-yourself (DIY) biology labs known as “biohacker spaces”. Labelled like “maker spaces” (which contain the fabrication, metal/woodworking, additive manufacturing/3D printing, digitization, and related tools that “makers” use to tinker with hardware and software), biohacker spaces are attracting a growing number of entrepreneurs, students, scientists, and members of the public.
A biohacker space is a space where people with an interest in biotechnology gather to tinker with biological materials. These spaces, such as Genspace in New York, Biotown in Ottawa, and La Paillasse in Paris, exist outside of traditional academic and research labs with the aim of democratizing and advancing science by providing shared access to tools and resources (Scheifele & Burkett, 2016).
Biohacker spaces hold great potential for promoting innovation. Numerous innovative projects have emerged from these spaces. For example, biohackers have developed cheaper tools and equipment (Crook, 2011; see also Bancroft, 2016). They are also working to develop low-cost medicines for conditions such as diabetes (Ossolo, 2015). There is a general, often unspoken assumption that the openness of biohacker spaces facilitates greater participation in biotechnology research, and therefore, more inclusive innovation. In this article, we explore that assumption using the inclusive innovation framework developed by Schillo and Robinson (2017).
Inclusive innovation requires that opportunities for participation are broadly available to all and that the benefits of innovation are broadly shared by all (CSLS, 2016). In Schillo and Robinson’s framework, there are four dimensions along which innovation may be inclusive:
- The people involved in innovation (who)
- The type of innovation activities (what)
- The range of outcomes to be captured (why)
- The governance mechanism of innovation (how)…(More)”.
Open data work: understanding open data usage from a practice lens
Paper by Emma Ruijer in the International Review of Administrative Sciences: “During recent years, the amount of data released on platforms by public administrations around the world have exploded. Open government data platforms are aimed at enhancing transparency and participation. Even though the promises of these platforms are high, their full potential has not yet been reached. Scholars have identified technical and quality barriers of open data usage. Although useful, these issues fail to acknowledge that the meaning of open data also depends on the context and people involved. In this study we analyze open data usage from a practice lens – as a social construction that emerges over time in interaction with governments and users in a specific context – to enhance our understanding of the role of context and agency in the development of open data platforms. This study is based on innovative action-based research in which civil servants’ and citizens’ initiatives collaborate to find solutions for public problems using an open data platform. It provides an insider perspective of Open Data Work. The findings show that an absence of a shared cognitive framework for understanding open data and a lack of high-quality datasets can prevent processes of collaborative learning. Our contextual approach stresses the need for open data practices that work on the basis of rich interactions with users rather than government-centric implementations….(More)”.
The Wisdom of the Network: How Adaptive Networks Promote Collective Intelligence
Paper by Alejandro Noriega-Campero , Abdullah Almaatouq, Peter Krafft, Abdulrahman Alotaibi, Mehdi Moussaid and Alex Pentland: “Social networks continuously change as people create new ties and break existing ones. It is widely noted that our social embedding exerts strong influence on what information we receive, and how we form beliefs and make decisions. However, most studies overlook the dynamic nature of social networks, and its role in fostering adaptive collective intelligence. It remains unknown (1) how network structures adapt to the performances of individuals, and (2) whether this adaptation promotes the accuracy of individual and collective decisions.
Here, we answer these questions through a series of behavioral experiments and simulations. Our results reveal that groups of people embedded in dynamic social networks can adapt to biased and non-stationary information environments. As a result, individual and collective accuracy is substantially improved over static networks and unconnected groups. Moreover, we show that groups in dynamic networks far outperform their best-performing member, and that even the best member’s judgment substantially benefits from group engagement. Thereby, our findings substantiate the role of dynamic social networks as adaptive mechanisms for refining individual and collective judgments….(More)”.
Crowdbreaks: Tracking Health Trends using Public Social Media Data and Crowdsourcing
Paper by Martin Mueller and Marcel Salath: “In the past decade, tracking health trends using social media data has shown great promise, due to a powerful combination of massive adoption of social media around the world, and increasingly potent hardware and software that enables us to work with these new big data streams.
At the same time, many challenging problems have been identified. First, there is often a mismatch between how rapidly online data can change, and how rapidly algorithms are updated, which means that there is limited reusability for algorithms trained on past data as their performance decreases over time. Second, much of the work is focusing on specific issues during a specific past period in time, even though public health institutions would need flexible tools to assess multiple evolving situations in real time. Third, most tools providing such capabilities are proprietary systems with little algorithmic or data transparency, and thus little buy-in from the global public health and research community.
Here, we introduce Crowdbreaks, an open platform which allows tracking of health trends by making use of continuous crowdsourced labelling of public social media content. The system is built in a way which automatizes the typical workflow from data collection, filtering, labelling and training of machine learning classifiers and therefore can greatly accelerate the research process in the public health domain. This work introduces the technical aspects of the platform and explores its future use cases…(More)”.
Smarter Crowdsourcing for Anti-Corruption: A Handbook of Innovative Legal, Technical, and Policy Proposals and a Guide to their Implementation
Paper by Noveck, Beth Simone; Koga, Kaitlin; Aceves Garcia, Rafael; Deleanu, Hannah; Cantú-Pedraza, Dinorah: “Corruption presents a fundamental threat to the stability and prosperity of Mexico and combating it demands approaches that are both principled and practical. In 2017, the Inter-American Development Bank (IDB) approved project ME-T1351 to support Mexico in its fight against corruption using Open Innovation. Thus, the IDB partnered with the Governance Lab at NYU to support Mexico’s Secretariat of Public Service (Secretaría de la Función Pública) to identify innovative ideas and then turns them into practical implementation plans for the measurement, detection, and prevention of corruption in Mexico using the GovLab’s open innovation methodology named Smarter Crowdsourcing.
The purpose of Smarter Crowdsourcing was to identify concrete solutions that include the use of data analysis and technology to tackle corruption in the public sector. This document contains 13 implementation plans laying out practical ways to address corruption. The plans emerged from “Smarter Crowdsourcing Anti-Corruption,” a method that is an agile process, which begins with robust problem definition followed by online sourcing of global expertise to surface innovative solutions. Smarter Crowdsourcing Anti-Corruption focused on six specific challenges: (i) measuring corruption and its costs, (ii) strengthening integrity in the judiciary, (iii) engaging the public in anti-corruption efforts, (iv) whistleblowing, (v) effective prosecution, and (vi) tracking and analyzing money flows…(More)”.
International Data Flows and Privacy: The Conflict and its Resolution
World Bank Policy Research Working Paper by Aaditya Mattoo and Joshua P Meltzer: “The free flow of data across borders underpins today’s globalized economy. But the flow of personal dataoutside the jurisdiction of national regulators also raises concerns about the protection of privacy. Addressing these legitimate concerns without undermining international integration is a challenge. This paper describes and assesses three types of responses to this challenge: unilateral development of national or regional regulation, such as the European Union’s Data Protection Directive and forthcoming General Data Protection Regulation; international negotiation of trade disciplines, most recently in the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP); and international cooperation involving regulators, most significantly in the EU-U.S. Privacy Shield Agreement.
The paper argues that unilateral restrictions on data flows are costly and can hurt exports, especially of data-processing and other data-based services; international trade rules that limit only the importers’ freedom to regulate cannot address the challenge posed by privacy; and regulatory cooperation that aims at harmonization and mutual recognition is not likely to succeed, given the desirable divergence in national privacy regulation. The way forward is to design trade rules (as the CPTPP seeks to do) that reflect the bargain central to successful international cooperation (as in the EU-US Privacy Shield): regulators in data destination countries would assume legal obligations to protect the privacy of foreign citizens in return for obligations on data source countries not to restrict the flow of data. Existing multilateral rules can help ensure that any such arrangements do not discriminate against and are open to participation by other countries….(More)”.
New Zealand explores machine-readable laws to transform government
Apolitical: “The team working to drive New Zealand’s government into the digital age believes that part of the problem is the ways that laws themselves are written. Earlier this year, over a three-week experiment, they’ve tested the theory by rewriting legislation itself as software code.…
The team in New Zealand, led by the government’s service innovations team LabPlus, has attempted to improve the interpretation of legislation and vastly ease the creation of digital services by rewriting legislation as code.
Legislation-as-code means taking the “rules” or components of legislation — its logic, requirements and exemptions — and laying them out programmatically so that it can be parsed by a machine. If law can be broken down by a machine, then anyone, even those who aren’t legally trained, can work with it. It helps to standardise the rules in a consistent language across an entire system, giving a view of services, compliance and all the different rules of government.
Over the course of three weeks the team in New Zealand rewrote two sets of legislation as software code: the Rates Rebate Act, a tax rebate designed to lower the costs of owning a home for people on low incomes, and the Holidays Act, which was enacted to grant each employee in New Zealand a guaranteed four weeks a year of holiday.
The way that both policies are written makes them difficult to interpret, and, consequently, deliver. They were written for a paper-based world, and require different service responses from distinct bodies within government based on what the legal status of the citizen using them is. For instance, the residents of retirement villages are eligible to rebates through the Rates Rebate Act, but access it via different people and provide different information than normal ratepayers.
The teams worked to rewrite the legislation, first as “pseudocode” — the rules behind the legislation in a logical chain — then as human-readable legislation and finally as software code, designed to make it far easier for public servants and the public to work out who was eligible for what outcome. In the end, the team had working code for how to digitally deliver two policies.
A step towards digital government
The implications of such techniques are significant. Firstly, machine-readable legislation could speed up interactions between government and business, sparing private organisations the costs in time and money they currently spend interpreting the laws they need to comply with.
If legislation changes, the machine can process it automatically and consistently, saving the cost of employing an expert, or a lawyer, to do this job.
More transformatively for policymaking itself, machine-readable legislation allows public servants to test the impact of policy before they implement it.
“What happens currently is that people design the policy up front and wait to see how it works when you eventually deploy it,” said Richard Pope, one of the original pioneers in the UK’s Government Digital Service (GDS) and the co-author of the UK’s digital service standard. “A better approach is to design the legislation in such a way that gives the teams that are making and delivering a service enough wiggle room to be able to test things.”…(More)”.
Open data privacy and security policy issues and its influence on embracing the Internet of Things
Radhika Garg in First Monday: “Information and communication technologies (ICT) are changing the way people interact with each other. Today, every physical device can have the capability to connect to the Internet (digital presence) to send and receive data. Internet connected cameras, home automation systems, connected cars are all examples of interconnected Internet of Things (IoT). IoT can bring benefits to users in terms of monitoring and intelligent capabilities, however, these devices collect, transmit, store, and have a potential to share vast amount of personal and individual data that encroach private spaces and can be vulnerable to security breaches. The ecosystem of IoT comprises not only of users, various sensors, and devices but also other stakeholders of IoT such as data collectors, processors, regulators, and policy-makers. Even though the number of commercially available IoT devices is on steep rise, the uptake of these devices has been slow, and abandonment rapid. This paper explains how stakeholders (including users) and technologies form an assemblage in which these stakeholders are cumulatively responsible for making IoT an essential element of day-to-day living and connectivity. To this end, this paper examines open issues in data privacy and security policies (from perspectives of the European Union and North America), and its effects on stakeholders in the ecosystem. This paper concludes by explaining how these open issues, if unresolved, can lead to another wave of digital division and discrimination in the use of IoT….(More)”.
Crowdsourcing & Data Analytics: The New Settlement Tools
Paper by Chao, Bernard and Robertson, Christopher T. and Yokum, David V: “In the jury trial rights, the State and Federal Constitutions recognize the fundamental value of having laypersons resolve civil and criminal disputes. Nonetheless, settlement allows parties to avoid the risks and cost of trials, and settlements help clear court dockets efficiently. But achieving settlement can be a challenge. Parties naturally view their cases from different perspectives, and these perspectives often cause both sides to be overly optimistic. This article describes a novel method of providing parties more accurate information about the value of their case by incorporating layperson perspectives. Specifically, we suggest that working with mediators or settlement judges, the parties should create mini-trials and then recruit hundreds of online mock jurors to render decisions. By applying modern statistical techniques to these results, the mediators can show the parties the likelihood of possible outcomes and also collect qualitative information about strengths and weaknesses for each side. These data will counter the parties’ unrealistic views and thereby facilitate settlement….(More)”.