Valentina González-Rostani

Valentina González-Rostani

Assistant Professor

University of Southern California

Welcome!

I study how technological change—especially automation and artificial intelligence—reshapes political attitudes, parties, and democratic institutions across advanced economies and the Global South, using causal inference and computational text analysis (NLP and large language models).

🤖 Automation & AI 🗳️ Populism & Political Behavior 📊 Text-as-Data (NLP & LLMs)
Background, research interests, and public engagement.
Position. I am an Assistant Professor in the Department of Political Science and International Relations at the University of Southern California. Before joining USC, I was a Postdoctoral Research Associate at Princeton University.
Research. My research examines how technological change—especially automation and artificial intelligence—reshapes politics and society. I study how these shifts affect political attitudes and the rise of populist movements, with work spanning advanced economies and the Global South. I also work on international trade, inequality, and political methodology, and develop machine-learning tools to measure political discourse and populist rhetoric.
Publications & service. My work has been published or is forthcoming in journals including the Journal of Politics, Economics & Politics, Legislative Studies Quarterly, and PS: Political Science & Politics. I am a member of the 2025 APSA Task Force on AI and Political Science, where I serve on the committee on economic inequality and the labor force.
Public engagement & mentoring. I care deeply about making scientific knowledge accessible. I am affiliated with the Mobilization & Political Economy NSF-REU program, which supports the research paths of underrepresented students. I also co-direct Razones y Personas, a 14-year-old blog where more than 50 social scientists publish weekly pieces on politics and policy, with a focus on Latin America and Uruguay.
Background. Before moving to the United States, I worked in Uruguayan politics as a grassroots organizer and advised a member of Congress. Earlier, I worked at KPMG—an experience that broadened my perspective on industry and continues to complement my academic work.
Contact. You can reach me at gonzalez.rostani [at] usc.edu.

Interests

  • Political Economy
  • Political Methodology

Education

  • Postdoctoral Research Associate, 2025

    Princeton University

  • PhD in Political Science, 2024

    University of Pittsburgh

  • MA in Political Science, 2021

    University of Pittsburgh

  • MA in Public Policies, 2019

    Universidad Católica del Uruguay

  • BA in Public Accounting, 2015

    Universidad de la República

Research

Research on how automation and artificial intelligence reshape politics, labor markets, and democratic institutions, alongside a complementary agenda using NLP and large language models to study political discourse and behavior.

Theme:
Status:

Publications

Elections, Right-wing Populism, and Political-Economic Polarization: The Role of Institutions and Political Outsiders

Valentina González-Rostani
The Journal of Politics (2025/2026)
Abstract

While there is little doubt that technological change is generating labor market polarization around the world, we know much less about its translation into partisan polarization. I explore the political polarization driven by the rise of right-wing populist parties and leaders throughout developed democracies. I build a theoretical model to explain how right-wing populists have attracted the votes of routine workers, workers exposed to automation risk, and previously loyal to mainstream left-wing parties, within both majoritarian multi-district and multiparty proportional systems. I empirically evaluate the theory, focusing primarily on the US and Germany, using individual vote-switching data and campaign targeting strategies inferred from the content of political speeches and party manifestos.

 
Pre-Print

 
First View

AutomationPopulismText-as-Data
Published

Love of Variety? An Experimental Study of Heterogeneous Responses to Foreign Brands in the Marketplace

Conditionally Accepted at Political Science Research and Methods (2026)
Abstract

This study investigates the impact of exposure to foreign goods in the marketplace on the policy preferences and political behavior of US consumers. Using a survey experiment, we simulate a realistic consumption experience with well-known brands of sports utility vehicles. Our findings reveal that exposure to foreign brands intensifies hostility towards immigrants and trade among respondents holding pre-existing nationalist attitudes while also increasing their support for Trump as a presidential candidate. Exposure to foreign brands has the opposite effect on the preferences and behavior of cosmopolitans. Our results demonstrate that consumption in an increasingly diversified marketplace can drive a bottom-up process of trade policy polarization. Our study has significant implications for understanding the contemporary political backlash against economic globalization and standard models of international trade based on the ``love of variety."

 
Pre-Analysis Plan

 
Slides

 
Manuscript

 
TradeExperiment
Accepted

Engaging Diversity: An Inclusive Approach to Undergraduate Mentorship in Mobilization and Political Economy

with Chie Togami, Mariely Lopez-Santana, Tania Ramirez, Fernando Tormos-Aponte, and Mayra Velez-Serrano
PS: Political Science & Politics (2025)
Abstract

The political science discipline faces significant disparities in the representation and participation of underrepresented minorities in graduate education. This lack of diversity among political scientists results in a narrower range of questions being explored within the field. Furthermore, the underrepresentation is particularly pronounced in the political methodology subfield, limiting the scope of tools and perspectives to those predominantly shaped by white scholars. This article proposes a template for teaching and mentoring undergraduate students from underrepresented backgrounds to enhance their opportunities in graduate programs. We examine the Mobilization and Political Economy program, a summer research initiative aimed at minority-serving institutions and underrepresented minorities, designed to equip participants with the tools to study social movements, political mobilization, and structural inequality.

 
First View

MentorshipMethods
Published

Are Protests Contagious? The Dynamics of Temporal and Spatial Diffusion of Political Protests

Journal of Elections, Public Opinion & Parties (2025)
Abstract

Do political protests spread across time and space? While scholars of social movements and political behavior have long debated this question, existing studies often fail to simultaneously account for both spatial and temporal dependencies in protest dynamics. Using protest event analysis and a novel spatiotemporal autoregressive distributed lag (STADL) model, we examine the diffusion of protests across 30 European countries from 2000 to 2015. Our findings provide robust evidence that protests exhibit both temporal and spatial contagion: protest activity in one year significantly increases protest frequency in the following year, and protests in one country contribute to the onset of protests in neighboring states. These results underscore the importance of modeling both dimensions of diffusion to avoid biased inferences and contribute to the broader understanding of protest mobilization. Our study highlights the interconnected nature of political activism and has important implications for research on social movements and political instability.

 
Manuscript

DiffusionSpatial
Published

Social Media versus Surveys: A New Scalable Approach to Understanding Political Discourse

Legislative Studies Quarterly (2024)
Abstract

Many legislators do not have consistently progressive or conservative policy positions. How does the mix of issue positions relate to the manner in which the legislators consider their placement on the left-right ideological scale? Analyzing data from the Parliamentary Elites in Latin America (PELA) survey, this paper counterposes combinations of legislators’ moral and economic policy positions with their self-located ideological score. Our results confirm the importance of economics, which is consistent with older studies, but we also find that moral issues are at least consistent with – and perhaps germane– to the left-right placement of many of the region’s legislators. Among the findings are that the left is more heterogeneous, especially with respect to moral views, than is the right. We also show that many centrists are closeted conservatives, supporting the “ashamed right” thesis.

 
First View

Text-as-DataLatin America
Published

Engaged Robots, and Disengaged Workers: Automation and Political Apathy

Valentina González-Rostani
Economics & Politics (2024)
Abstract

This paper investigates the impact of the fourth industrial revolution on politics by proposing a theoretical framework linking technological change with political apathy. Using hierarchical logistic modeling with varying intercepts by country and survey data from the European Social Survey from 2002 to 2018 for 23 European countries, I present evidence that individuals more exposed to technological change are less likely to feel close to a political party, participate in elections and take part in protests. Those individuals exposed to automation are about 10% less likely to be politically engaged than those respondents without exposure to automation risks. I also demonstrate that income levels and unionization rates substantially moderate the direct link between automation and political engagement. The impact of automation on political engagement is smaller among wealthier citizens and in highly unionized environment. The political message from these interaction effects speaks about the reinforcing forces between economic inequality and automation and the role of collective organization. My findings have important implications for understanding automation politics, political inequality, and the demand (or lack of) for protection.

 
First View

AutomationPolitical Behavior
Published

How Germane are Moral and Economic Policies to Ideology? Evidence from Latin American Legislators

with Elias Chavarria, Chuang Chen, and Scott Morgenstern
Legislative Studies Quarterly (2024)
Abstract

Many legislators do not have consistently progressive or conservative policy positions. How does the mix of issue positions relate to the manner in which the legislators consider their placement on the left-right ideological scale? Analyzing data from the Parliamentary Elites in Latin America (PELA) survey, this paper counterposes combinations of legislators’ moral and economic policy positions with their self-located ideological score. Our results confirm the importance of economics, which is consistent with older studies, but we also find that moral issues are at least consistent with – and perhaps germane– to the left-right placement of many of the region’s legislators. Among the findings are that the left is more heterogeneous, especially with respect to moral views, than is the right. We also show that many centrists are closeted conservatives, supporting the “ashamed right” thesis.

 
First View

Latin AmericaIdeology
Published

Legislators’ Religiosity and Same-Sex Marriage in Latin America

Latin American Research Review (2023)
Abstract

Same-sex marriage (SSM) has risen to the top of political agendas across Latin America, but there is also great variance in terms of legal status, public support, and the policymaking processes. While the public and social movements have been critical to the advance of SSM, we know little about the views of those who are directly charged with translating public views into policy: the legislators. To fill this gap, we utilize a survey of the region’s legislators to first examine the range in support among countries and show how it correlates with legal changes. We then examine the correlates of legislators’ support for SSM. While we also test gender, age, and ideology, our multivariate models focus on religiosity. We show that in addition to driving support at the individual level (in the expected direction), religiosity also works as a contextual variable such that having more secular colleagues encourages pious legislators to support same-sex marriage.

 
Resumen

El matrimonio entre personas del mismo sexo (MPMS) ha marcado la agenda política en muchos países de América Latina, aunque aún es ilegal en muchos países del continente. No obstante, el apoyo público varía mucho en la región, así como también los roles de los tribunales, presidentes y legislaturas. En este artículo nos enfocamos en los legisladores, ya que son los encargados de representar al público y convertir sus demandas en política pública. Si bien muchas legislaturas han discutido el tema, la literatura no ha examinado de manera intensiva las actitudes de estos representantes hacia el MPMS. Para analizar este fenómeno aplicamos un marco teórico que amplía las teorías basadas en el contexto y contacto social, y utilizamos una encuesta implementada a legisladores en la región para estudiar las variables que correlacionan con el apoyo al MPMS. Si bien también evaluamos variables a nivel individual (tales como género e ideología), nuestros modelos se enfocan en el rol contextual de la religiosidad. Los resultados muestran que tener más colegas seculares alienta a los legisladores, incluso a los creyentes, a apoyar el matrimonio entre personas del mismo sexo.

 
First View

Latin AmericaReligion
Published

Working papers & selected work in progress

The Political Economy of Automation and Fragmented Production: Evidence from Mexico

Working Paper (2025)
Abstract

How does automation in the Global North shape politics and violence in the Global South? We develop a political economy theory in which robot adoption in advanced economies reduces demand for export-oriented labor in developing countries, depressing wages and employment and creating social and political consequences. We test this argument in Mexico, a close trade partner of the United States. Using commuting-zone data, we construct exposure measures combining pre-NAFTA export employment with U.S. industry robot growth and initial offshoring intensity, while accounting for domestic robot adoption and other shocks. To address endogeneity, we instrument foreign exposure with European robot diffusion. We find that regions more exposed to foreign robots experience higher levels of violent organized crime, including narcocrime and homicides (but not property crime), and stronger support for left-populist candidates. These findings demonstrate how automation shocks ripple through global value chains to reshape society and elections.

Manuscript

SSRN.

AutomationTradeLatin America

Working

Navigating Uncertainty: How Experience Shapes Perception and Politics in the AI Era

Under Review (2025)
Abstract

How do individuals perceive technological risk, particularly job insecurity, in the era of AI-driven change? This paper explores how people navigate the uncertainty created by the pace of technology and experts' unclear predictions about its impact on jobs. We focus on three perceptions: techno-optimists, techno-pessimists, and those exposed to rapid technological change, examining their demographic characteristics and implications for political coalition-building. Using data from three original surveys, including open-ended responses, we show that personal and vicarious experiences shape these perceptions, with exposed workers occupying a middle ground between optimism and pessimism. Contrary to the view that high-skilled workers are less vulnerable, we find that perceived employment risks rise with the use of complex technologies like programming languages. Exposed workers and pessimists share political traits, such as support for illiberal policies, while optimists lean toward liberal policies. These results deepen our understanding of how technological risk perceptions influence politics.

Manuscript

PDF.

AI Risk Survey

Under Review

The Threat of Automation and Public Support for Environmental Policies

Under Review (2022)
Abstract

The rise of automation has transformed economies around the world. We examine how its effects spill over and affect people's views about environmental issues and policies. We argue that the long-term economic threat posed by automation is expected to reduce environmental concern amongst those affected due to a deprioritization of problems with high levels of uncertainty and that require deep reforms to be addressed. Therefore, we expect automation risk to subsequently reduce support of environmental policy that imposes immediate direct costs, such as carbon taxation. Meanwhile, support for policies with diffuse costs, such as environmental subsidies, will only be affected by automation indirectly, to the extent that it reduces individuals' general environmental concern. Using European Social Survey data from 2002 to 2018 for 23 European countries, our analysis reveals that individuals exposed to automation are less likely to hold environmental concerns and less supportive of carbon taxes that impose immediate visible costs. Mediation analysis suggests that automation reduces support for environmental policies through its negative effect on environmental concern, with this effect being larger for subsidies. Our findings have important implications for understanding how structural transformations in the economy shape individuals' preferences for tackling long-term societal problems like climate change.

Manuscript

OSF.

Automation Environment

Under Review

Immigration Shocks and Politicians’ Rhetoric: Evidence from The Venezuelan Migration Crisis

Under Review (2023)
Abstract

How does an immigration shock affect politicians’ discourses? This study examines the sudden influx of Venezuelan migrants into Latin American countries. We argue that such events alter politicians’ agendas, creating opportunities to frame new issues from their perspectives. Analyzing over 3 million tweets by parliament members from 2013 to 2021 in Chile and Peru, we employ computational textanalysis methods, from simple dictionaries to complex techniques like unsupervised topic analysis and OpenAI, along with an instrumental variable strategy. Our results suggest that after the immigration shock, politicians emphasized the immigration issue without any party family monopolizing it. We find little evidence that regional exposure explains the issue’s salience, suggesting a disconnection from local experiences. Our findings reveal a novel channel for increased salience: right-wing politicians criticized the Venezuelan regime and socialism instead of increasing anti-immigration sentiment, while left-wing politicians promoted pro-immigration attitudes consistent with contact theory. This work enhances our understanding of the politicization of immigration in South-South contexts in the digital age.

 
Manuscript

PDF.

Latin AmericaImmigrationText-as-Data
Under Review

The path from Automation to Populist Political Behavior

Valentina González-Rostani
Working Paper (2023) · Presented at APSA 2022, IPES 2022, EUSA 2023, EPSA 2023, PolMeth XL, APSA 2023, Virtual IPES 2024, Yale · To be presented at Caltech
Abstract

I investigate the impact of automation exposure on political behavior in post-industrial societies, with a specific focus on the support for populism. I examine the potential causal mechanisms by exploring the interplay between economic and cultural factors. Through a parallel encouragement design survey experiment conducted in the US, I divide the sample into two groups: one group is randomly assigned to the treatment condition either related to exposure to robots and AI replacing jobs or a control condition related to technological development; the other group experiences manipulation of both the treatment and the encouragement of mediators (marginalization and nostalgia). My findings reveal that feelings of marginalization and nostalgia mediate the effects of technological change on support for populism and illiberal policies. To enhance external validity, I implement mediation analysis using survey data from the European Social Survey from 2012 to 2016. The results help us understand how structural changes in labor markets and cultural factors impact political behavior and inequality.

 
Pre-Analysis Plan

 
Poster

 
Manuscript

AutomationPopulismExperimentMediation
Under Review

Who Influences Whom? Analyzing the Interplay of Mainstream and Outsider Parties in Social Media Campaigns

Valentina González-Rostani
Working Paper (2024)
Abstract

Do mainstream parties respond to outsider parties, or vice versa? Previous research suggests an alignment between the issues prioritized by both mainstream and outsider parties, but definitive evidence on who influences whom is limited. I investigate this with fine-grained temporal analyses of YouTube videos posted by political parties in the year leading up to elections since 2015 in the UK and Spain. Using dictionaries, Wordscores, and transformer-based models, I classify the content by issues and communication characteristics, such as whether a message is populist or extreme. I then apply vector autoregression models to explore short-term dynamics of rhetorical influence. In the UK, a majoritarian system, mainstream right and left parties respond to each other, while the outsider right follows mainstream parties. In Spain, a multi-party system, mainstream parties influence each other, and outsider parties influence the mainstream left and each other. More importantly, in both systems, mainstream parties more often lead than follow outsiders' messages. These findings have important implications for understanding party dynamics and competition during electoral campaigns.

CampaignsYouTubeVARText-as-Data
Working

Creating Pathways to Graduate Success: Reducing Barriers for Underrepresented Minority Students in the Social Sciences

with Chie Togami, Mariely Lopez-Santana, Tania Ramirez, Fernando Tormos-Aponte, and Mayra Velez-Serrano
Under Review
Abstract

Students from underrepresented populations, including women, first-generation students, and racial and ethnic minorities, face persistent barriers in accessing graduate education and professional development opportunities, particularly in the social sciences. To address these disparities, graduate pipeline programs can provide critical support by providing networking and mentoring opportunities, closing methodological and research skill gaps, and preparing participants to apply to competitive graduate programs. This article outlines the principles and goals of a summer program focused on mobilization and political economy by detailing the rationale, implementation strategies, and evaluation framework used to assess its effects. Evaluation of the inaugural program demonstrated the success of a multilayered mentoring approach, tailored curricula, and comprehensive support structures in fostering participants’ academic growth and career readiness. By highlighting best practices and lessons, we provide a template for institutions seeking to develop initiatives associated with greater diversity in graduate programs in the social sciences, the academic market, and, ultimately, higher education.

 
Manuscript

PDF.

MentorshipPipeline ProgramsEquity
Under Review

A Spatiotemporal Approach to Model Multilevel Data Structures

Working Paper (2023) · Presented at APSA 2023
Abstract

The analysis of multilevel data is common in political science and the social sciences more generally. We examine the case where random community-level effects cluster geographically in space. Ignoring this spatial dependence leads to inefficient coefficient estimates and overconfident standard errors. We propose a two-step spatial feasible generalized least squares estimator that, under empirically identifiable conditions, provides relatively efficient coefficient estimates and accurate standard errors compared to the maximum likelihood estimation of non-spatial models.

Draft Upon Request

Please send me an email, and I will share our most recent working paper.

SpatialMultilevelFGLS
Working

The Political Ramification of AI-Augmented Work: Evidence from a Field Experiment

Working Paper (2025)
Abstract

Recent advances in AI have fueled concerns about future job displacement, prompting research on the political consequences for workers vulnerable to job loss. Yet AI is already deeply embedded in the workplace, shaping the daily experiences of millions who interact with AI software regularly. Large language models (LLMs) are now widely accessible and affordable, enabling workers to adopt them independently. The benefits are immediate: greater efficiency, reduced cognitive effort, and often higher-quality output. But these short-term gains may entail long-term costs. As workers grow dependent on AI, they risk losing essential skills and autonomy. Their use also generates data that improves these tools, inadvertently accelerating automation that could eventually replace them. Do workers recognize these risks, and how do they balance them against short-term benefits in their responses to these changes? We explore these questions using a pre-registered field experiment on an online labor marketplace. We recruited 1,200 workers to perform various tasks, randomizing their (1) access to an AI-assisted tool, (2) the perceived capability of this tool, and (3) the stated long-term objectives of implementing this tool. Using a range of behavioral and attitudinal measures, we track changes in how workers use the AI tool and complete their work over time, as well as their perceived competence, job security, and preferences for policies such as retraining and compensation. By documenting informal resistance strategies through which workers seek to preserve their comparative advantage, our study offers new insight into the political consequences of this technological transformation.

AIField ExperimentLabor
Working

Detecting AI-Generated Responses in Surveys: A Behavioral–Linguistic Toolkit

Working Paper (2025)
Abstract

The rapid adoption of large language models (LLMs) has introduced a new form of survey misrepresentation: respondents using AI to craft their answers. Traditional fraud checks and text-only classifiers fail to detect such behavior reliably, allowing synthetic content to contaminate datasets. This research note presents a behavioral–linguistic toolkit for identifying AI-generated survey responses. The toolkit integrates three components—front-end copy-paste blocking, keystroke-dynamics monitoring, and post-hoc linguistic analysis combining embeddings, perplexity, and AI-similarity scores. We validate this approach in a randomized online experiment comparing “AI-Allowed” and “AI-Blocked” conditions. Results show clear behavioral and textual signatures of AI use: longer and more fluent answers with minimal editing, high semantic overlap with model-generated text, and reduced typing variability. These indicators jointly predict AI use with high accuracy, outperforming existing detection methods. The proposed framework offers a scalable solution for preserving data quality and transparency in the era of generative AI, providing a foundation for future best practices in survey methodology.

Survey MethodsLLMsDetection
Working

Too Rich to Tax? Technological Elites, Economic Inequality, and Public Attitudes Toward Taxing the Super-Rich

Working Paper (2025)
Abstract

This project investigates the societal, cultural, and psychological factors that give rise to this belief in “impossibility” and discusses the implications for policy-making and advocacy. Through survey experiments, we examine how collective skepticism prevents citizens from demanding reform, and we also explore the role of perceived state capacity in reinforcing the notion that taxing high-net-worth individuals is unrealistic. By uncovering the roots of this mindset, our study seeks to explain why so many people in developing nations refrain from voicing support for wealth taxation—even though inequality is widely recognized. Ultimately, this research aims to reframe the conversation around tax justice on a global scale, offering practical steps and policy recommendations to dismantle the barriers of disbelief.

PAP

OSF.

InequalityTaxSurvey Experiments
Working

Artificial Intelligence and the Future of Democracy: Political and Institutional Consequences of Economic Dislocation

Working Paper / Review (2025)
Abstract

The rapid advancement of artificial intelligence (AI) is reshaping economies, labor markets, and political landscapes, raising urgent questions about its implications for democracy. This paper reviews the growing body of research on the political and institutional consequences of AI-driven economic dislocation. While AI-induced automation threatens traditional employment structures, its effects on political participation, electoral behavior, and policy preferences remain less understood. Existing evidence suggests that economic insecurity caused by automation can fuel political dissatisfaction and increase support for populist and anti-establishment movements. At the same time, AI-driven growth creates economic winners who may reinforce existing political alignments. However, the ways in which voters perceive and respond to AI-induced economic change—whether through policy demands, shifts in ideological preferences, or institutional trust—remain contested. This review highlights key theoretical perspectives, synthesizes recent empirical findings, and identifies pressing questions for future research on the intersection of AI, economic dislocation, and democratic stability.

AIDemocracyPolitical Economy
Working

You Can't Stop It If You Can't See It: Introducing a New Scalable System to Measure Populist Narratives at Higher Resolution

Working Paper (2025) · Presented at ISA 2024, MPSA 2025
Abstract

The rise of populism across democracies is one of the greatest challenges to the existing world order since World War II. Yet, we only have very limited tools to measure populism within and across countries. Existing approaches rely on human coding, expert surveys, or dictionary-based analysis and suffer from high costs, low comparability, or low validity. We offer a middle-ground strategy between expensive qualitative reading and coarse machine coding. We extend PULSAR to identify sentences/paragraphs carrying populist narratives by parsing “us” versus “them” frames, who is protecting/threatening “the people,” and other common aspects of political speech. We illustrate the approach with US presidential campaign speeches.

PopulismNLPMeasurement
Working

Sustaining Pathway Programs in the Social Sciences

Under Review
Abstract

Graduate school pathway programs in the social sciences face intensifying political attacks, legal constraints, and defunding. This viewpoint examines strategies for sustaining these programs through strategic reframing, diversified funding, collective knowledge-sharing, and risk-balanced action. It argues that program survival is essential for preserving equity infrastructure and broadening participation in research careers.

Pathway Programs DEI Higher Education Academic Freedom

Under Review

When Money Talks: Rethinking Income Redistribution and Political Inequality

Working Paper (2025) · Presented at Vienna University (2022)
Abstract

Research on the political consequences of economic inequality focuses almost exclusively on relative inequality, using measures such as percentile ratios and gini coefficients. We show with a simple theoretical model that proportionate income increases that preserve relative inequality can increase absolute inequality and generate larger gaps in campaign contributions between rich and poor. Using U.S. congressional district data, we find absolute inequality, rather than relative inequality, is associated with larger contribution gaps.

InequalityPolitical FinanceTheory + Evidence
Working

Diffusion

News & Events

📅 2026
DateTypeEventPlace
January 2026PublicationElections, Right-Wing Populism, and Political-Economic Polarization: The Role of Institutions and Political Outsiders - The Journal of Politics, Vol. 88, No. 1Published
January 2026TalkUSC Sol Price School - Political Institutions and Political Economy SeminarLos Angeles, CA
June 2026ConferenceWhen Machines Manage: Workers’ Demands and Trade Union Responses to AI (with Paolo Agnolin) (upcoming)European Political Science Society EPSS - Belfast
May 2026ConferenceWho Influences Whom? Analyzing the Interplay of Mainstream and Outsider Parties in Social Media Campaigns (with Claudia Salas Gimenez) (upcoming)PolMeth Europe · Trinity College Dublin
2026WorkshopUsing Large Language Models (LLMs) and Other AI Tools to Gather and Analyse Political Elite Network (upcoming)ECPR
Spring 2026TeachingStarted teaching The Politics of International Trade (Undergraduate)USC
Spring 2026TeachingStarted teaching Introduction to Data Analysis (Undergraduate)USC
2026TalkTexas A&M University - Globalization Backlash: New Theory and Evidence (upcoming)Texas A&M
2026TalkUniversity of California, Riverside (upcoming)UC Riverside
2026TalkUniversity of Washington - Severyns-Ravenholt Seminar in Comparative Politics (upcoming)Seattle, WA
2026TalkUSC Center for International Studies - IR Seminar (upcoming)Los Angeles, CA
2026WorkshopAPSA Labor Politics Group Virtual Workshop (upcoming)Virtual
2026PublicationLove of Variety? Experimental Study of Foreign Brands (with Jude Hays) - Political Science Research and Methods (conditionally accepted)Forthcoming
📅 2025
📅 2024

Contact

  • gonzalez.rostani@usc.edu
  • Dr. Joseph Medicine Crow Center for International and Public Affairs (DMC) 303, Los Angeles, CA 90007