Information Technology
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The Chinese government is revolutionizing digital surveillance at home and exporting these technologies abroad. Do these technology transfers help recipient governments expand digital surveillance, impose internet shutdowns, filter the internet, and target repression for online content? We focus on Huawei, the world’s largest telecommunications provider, which is partly state-owned and increasingly regarded as an instrument of its foreign policy. Using a global sample and an identification strategy based on generalized synthetic controls, we show that the effect of Huawei transfers depends on preexisting political institutions in recipient countries. In the world’s autocracies, Huawei technology facilitates digital repression. We find no effect in the world’s democracies, which are more likely to have laws that regulate digital privacy, institutions that punish government violations, and vibrant civil societies that step in when institutions come under strain. Most broadly, this article advances a large literature about the geopolitical implications of China’s rise.

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Journal Articles
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Perspectives on Politics
Authors
Erin Baggott Carter
Brett Carter
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Published online 2025:1-20
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We are on the verge of a revolution in public sector decision-making processes, where computers will take over many of the governance tasks previously assigned to human bureaucrats. Governance decisions based on algorithmic information processing are increasing in numbers and scope, contributing to decisions that impact the lives of individual citizens. While significant attention in the recent few years has been devoted to normative discussions on fairness, accountability, and transparency related to algorithmic decision-making based on artificial intelligence, less is known about citizens’ considered views on this issue. To put society in-the-loop, a Deliberative Poll was thus carried out on the topic of using artificial intelligence in the public sector, as a form of in-depth public consultation. The three use cases that were selected for deliberation were refugee reallocation, a welfare-to-work program, and parole. A key finding was that after having acquired more knowledge about the concrete use cases, participants were overall more supportive of using artificial intelligence in the decision processes. The event was set up with a pretest/post-test control group experimental design, and as such, the results offer experimental evidence to extant observational studies showing positive associations between knowledge and support for using artificial intelligence.

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AI & SOCIETY
Authors
Sveinung Arnesen
Troy Saghaug Broderstad
James S. Fishkin
Mikael Poul Johannesson
Alice Siu
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AI in Education Deliberative Poll for High School Educators

Are you worried about the impact AI can have on your classroom or excited about its potential? Do you wonder how you can utilize AI in your teaching or do you feel like it dehumanizes the learning process? Are you eager to learn about what “Artificial Intelligence” entails and how it can impact your classroom? 

If any of these questions have crossed your mind, we invite you to join Stanford's Deliberative Democracy Lab on Saturday, May 18, from 10:00 am to 2:45 pm (Pacific Time) to discuss with fellow educators how AI should be used and regulated in schools. You will discuss policies regarding the use of AI in schools — whether it should be banned from the Wi-Fi or left up to teachers and students to discern what “appropriate usage” means. You will also get to meet and ask questions to experts in the fields.

This will be an online event hosted on Stanford's Online Deliberation Platform. There will be sessions between deliberating teachers and expert panels where there will be Q&A time. Further details will be emailed to you.

SCHEDULE

10:00 am - 11:15 am: First Small Group Deliberation Session

11:15 am - 12:00 pm: Plenary Session 1

12:00 pm - 12:45 pm: Break

12:45 pm - 2:00 pm: Second Small Group Deliberation Session

2:00 pm - 2:45 pm: Plenary Session 2

This event is being led by students at The Quarry Lane School, Saratoga High School, and Lynbrook High School.

Online.

Open to high school educators only.

Workshops
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Nature
Authors
Kevin Aslett
Jonathan Nagler
Joshua A. Tucker
Zeve Sanderson
William Godel
Nathaniel Persily
Jonathan Nagler
Joshua A. Tucker
Authors
Rachel Owens
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News
Date
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In a CDDRL seminar series talk, Daniel Chen — Director of Research at the French National Center for Scientific Research and Professor at the Toulouse School of Economics — examined whether data science can improve the functioning of courts and unlock their impact on economic development. Improving courts’ efficiency is paramount to citizens' confidence in legal institutions and proceedings.

In a nationwide experiment in Kenya, Chen and his co-authors employed data science techniques to identify the causes of case backlog in the judicial system. They developed an algorithm to identify major sources of court delays for each of Kenya’s 124 court stations. Based on the algorithm, they compiled a one-page report — specific to the local court and tailored to that month’s proceedings — which provided an analysis of court adjournments, reasons for delay, and tangible action items.

To measure the effect of these one-pagers, Chen established two treatment groups and one control. Those in the first treatment group received a singular one-pager, sent just to the courts. The second received one for the courts and one for a Court User Committee (CUC). The committee, which consists of lawyers, police, and members of civil society, was asked to discuss the one-pagers during their quarterly meetings. 

To measure the relevant effects, the authors examined three primary outcomes, namely: (1) adjournment (or case delay) rates; (2) quality and citizen satisfaction; and (3) measures of economic development, including contracting, investment, and business creation. 

Results showed the intervention was associated with a 22 percent improvement in adjournments, or a decline in trial length by 120 days. They found that there was no effect on either the number of cases filed or the proxies for quality. Citizen satisfaction rates also went up, with a reduction in complaints about speed and quality, and the intervention was associated with an increase in formal written contracts and higher wages.

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María Ignacia Curiel presents during CDDRL's research seminar
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Do Institutional Safeguards Undermine Rebel Parties?

CDDRL postdoctoral fellow’s findings show that institutional safeguards meant to guarantee the representation of parties formed by former rebel groups may actually weaken such parties’ grassroots support.
Do Institutional Safeguards Undermine Rebel Parties?
Larry Diamond speaks during CDDRL's research seminar
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Is the World Still in a Democratic Recession?

Is the world still in a democratic recession? Larry Diamond — the Mosbacher Senior Fellow in Global Democracy at FSI — believes it is.
Is the World Still in a Democratic Recession?
Janka Deli presents during CDDRL seminar
News

Can Markets Save the Rule of Law?: Insights from the EU

CDDRL postdoctoral fellow challenges the conventional wisdom that deterioration in the rule of law generates decline in economic vitality.
Can Markets Save the Rule of Law?: Insights from the EU
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Improving courts’ efficiency is paramount to citizens' confidence in legal institutions and proceedings, explains Daniel Chen, Director of Research at the French National Center for Scientific Research and Professor at the Toulouse School of Economics.

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Donuts & Democracy

Are you interested in discussing Generative AI on Stanford’s campus? Feeling excitement or existential dread about the ethics of Gen AI, ChatGPT in the classroom, and the role it plays in your life? Join a group of diverse Stanford students for a structured discussion on Democracy Day (NO CLASSES), Tuesday, November 7, at 9:30 am @ OLD UNION!

📣 These events will be structured similarly to a Deliberative Poll, a format that has been run in over 34 countries around the world to engage citizens on public policy issues. You do not need any prior knowledge of any of these topics to participate; you will be provided with brief learning materials in advance to contextualize the issues being discussed.

🤝🏿 This event is being organized by students and faculty from Stanford University, in partnership with CDDRL's Deliberative Democracy Lab.

Old Union at Stanford
520 Lasuen Mall, Stanford, CA 94305

This event is only open to current Stanford students.

Authors
Melissa De Witte
News Type
News
Date
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Every day, data scientists are analyzing vast amounts of information about the world, using computational methods to find new ways to understand a problem or phenomenon, and deciding what to do about it.

But it’s not enough to use data on its own – it must be understood within its social and political context as well, according to Stanford political scientist Jeremy Weinstein. This year, Weinstein, along with Stanford statisticians Guenther Walther and Chiara Sabatti, has launched two new degrees: a Bachelor of Science in Data Science and a Bachelor of Arts in Data Science & Social Systems.

Read the full story in the Stanford Report.

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The gateway course for the new Data Science & Social Systems major teaches students how data can be used to address important social problems.

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This chapter explores the potential for gamesmanship in technology-assisted discovery. Attorneys have long embraced gamesmanship strategies in analog discovery, producing reams of irrelevant documents, delaying depositions, or interpreting requests in a hyper-technical manner. The new question, however, is whether machine learning technologies can transform gaming strategies. By now it is well known that technologies have reinvented the practice of civil litigation and, specifically, the extensive search for relevant documents in complex cases. Many sophisticated litigants use machine learning algorithms – under the umbrella of “Technology Assisted Review” (TAR) – to simplify the identification and production of relevant documents in discovery. Litigants employ TAR in cases ranging from antitrust to environmental law, civil rights, and employment disputes. But as the field becomes increasingly influenced by engineers and technologists, a string of commentators has raised questions about TAR, including lawyers’ professional role, underlying incentive structures, and the dangers of new forms of gamesmanship and abuse.

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Book Chapters
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In Legal Tech and the Future of Civil Justice, editor David Freeman Engstrom (Stanford Law School) and his 28 co-contributors, including Diego Zambrano, dissect the legal and policy implications of the technologies that are poised to remake the civil justice system.

Authors
Neel Guha
Peter Henderson
Diego A. Zambrano
Book Publisher
Cambridge University Press
Paragraphs

The Chinese government is revolutionizing digital surveillance at home. Are digital technology transfers from Huawei, China’s leading information technology company, enabling recipient governments to expand their digital surveillance operations and engage in more targeted repression against dissidents? To answer this question, we focus on the African continent, which has received nearly half of all global Huawei technology transfers. Using a series of identification strategies, we show that the effect of Huawei transfers on digital surveillance and targeted repression depends on preexisting political institutions in recipient countries. In Africa’s autocracies, which account for 81% of transfers to the continent, Huawei technology transfers facilitate digital surveillance, internet shutdowns, and targeted repression. In Africa’s democracies, Huawei technology may induce a small reduction in human rights abuses, though the effects are less consistently estimated. Most broadly, this paper suggests that China’s digital technology exports are reinforcing repressive governments.

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The Chinese government is revolutionizing digital surveillance at home. Are digital technology transfers from Huawei, China’s leading information technology company, enabling recipient governments to expand their digital surveillance operations and engage in more targeted repression against dissidents?

Journal Publisher
Williamsburg, VA: AidData at William & Mary
Authors
Brett Carter
Erin Baggott Carter
Number
Working Paper #122
Authors
Nora Sulots
News Type
News
Date
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The Center on Democracy, Development and the Rule of Law’s (CDDRL) Leadership Network for Change (LNC) is an expansive group that encompasses over 2,000 up-and-coming leaders and change-makers from all corners of the globe. This diverse and widespread network is comprised of alumni of three practitioner programs based at CDDRL: the Draper Hills Summer Fellows Program, Leadership Academy for Development, and the Ukrainian Emerging Leaders Program.

Last summer LNC, in partnership with the Center for International Private Enterprise (CIPE), launched an RFP for an innovative grant program — the Local Democracy in Action Grants Initiative. These collaboration grants were designed to bring together LNC leaders and CIPE partners to work across industry, sectors, and borders to introduce local democratic approaches, analysis, research, or dialogue to improve the way in which local communities solve today’s greatest democratic challenges. 

We were pleased to award grants to six teams of alumni whose projects aimed to support democratic reform efforts, civic discourse, and the incorporation of new technology to make a wider impact on the local political and economic environment:

  • Ethiopia: Insuring Public Accountability Through Tailored E-Government
  • Georgia: Democracy Podcast Series
  • Kazakhstan: Data Protection Regulation Upgrades
  • Lebanon: Enhancing Decision Making & Transparency in the Public Procurement Process
  • Nepal: Strengthening Technology-Driven Democracy Through Robust & Digitally Secured Civic Space
  • Ukraine: Enhancing the Quality of Decisions & Creating Local Coalitions Around Key Reforms

On August 17, 2022, CIPE convened the grantees to present the culmination and impact of their work. Below you can view a recording of the event and read about each of the six projects.

 

LOCAL DEMOCRACY IN ACTION PROJECT DESCRIPTIONS

Ensuring Public Accountability Through Tailored E-Government (Ethiopia)
Wondwossen Mitiku (LAD), Begashaw Tizazu (LAD), Getachew Teklemariam

LNC and CIPE alumni Wondwossen Mitiku, Begashaw Tizazu, and Getachew Teklemariam worked to strengthen the use of digital technology for public participation and accountability in Ethiopia. Through research and dialogue with e-government representatives in Estonia, South Korea, and Tunisia, the team developed local advocacy strategies that promoted greater public participation and accountability of e-government services in Ethiopia. The team developed a policy paper capturing their recommendations and organize a workshop promoting their findings.

Democracy Podcast Series (Georgia)
Nino Evgenidze (DHSF), Natia Zambakhidze (LAD)

In Georgia, the Economic Policy Research Center (EPRC) and Radio Liberty collaborated to organize a series of podcasts and lectures to strengthen public understanding of important issues facing Georgian society. EPRC and Radio Liberty hosted leading experts to foster discussion on a diverse set of issues facing Georgia and the wider region. Topics included democratic and economic development, economic security, democracy and technology, and Euro-Atlantic integration.

Data Protection Regulation Upgrades (Kazakhstan)
Ruslan Dairbekov (DHSF), Nino Evgenidze (DHSF)

LNC alumni Nino Evangenidze and Ruslan Daiyrbekov led a virtual study tour of Georgia’s development and implementation of the nation’s data protection regulatory regime. Evangenidze and Daiyrbekov led a group of policymakers and think tank leaders to identify data protection best practices and lessons learned from Georgia’s experience. Following the study tour, formal recommendations were developed to inform a draft data protection law in Kazakhstan.

Enhancing Decision Making and Transparency in the Public Procurement Process (Lebanon)
Rabih el Chaer (DHSF), Mohamad Najem (DHSF)

The Lebanese Center for Policy Studies (LCPS) collaborated with LNC alumni Mohamad Najem and Rabih El Chaer to produce policy recommendations on enhancing the e-procurement system in Lebanon. To inform their work, the team met with Ukraine’s e-procurement system administrators to learn about the country’s system and identify lessons in its development and implementation. Based on their findings, they produced a policy paper outlining their recommendations and shared it widely with policymakers, journalists, and civil society representatives in Lebanon.

Strengthening Technology-Driven Democracy Through Robust and Digitally Secured Civic Space (Nepal)
Narayan Adhikari (CIPE), Bikin Ghimire (CIPE)

The Accountability Lab Nepal (ALN) and Digital Rights Nepal (DRN) collaborated to develop a toolkit for civil society organizations to equip them with the ability to manage digital security threats and vulnerabilities while defending democracy. ALN and DRN conducted desk research, disseminated a survey, and organized workshops with key stakeholders to identify best practices and develop tips and advice to navigate the internet safely. Through their efforts, ALN and DRN helped to build a more robust and digital secure civic space in Nepal.

Enhancing the Quality of Decisions and Creating Local Coalitions Around Key Reforms (Ukraine)
Iryna Nemyrovych (LAD), Matvii Khrenov (LAD), Pavlo Kovtonyuk

The Ukrainian Healthcare Center (UHC) and LNC alumni Iryna Nemyrovych, Matvii Khrenoc, and Pavlo Kovtonyuk worked to create local coalitions in several Ukrainian municipalities to foster dialogue and promote strategies to improve the country’s healthcare systems.  Through this advocacy work, the team enhanced local democratic engagement and strengthened the transparency and quality of medical services.
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CDDRL's Leadership Network for Change and the Center for International Private Enterprise awarded collaboration grants to six teams of alumni to foster cooperation and strengthen democratic development on a regional and global scale.

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