Research Projects

Figure (cropped): Almquist, Bagozzi, Blinova & Brown (2026), Network Science 14:e7, Fig. 2(c), CC BY 4.0

Research on participation, organizational diversity, value networks, and negotiation dynamics across more than 30 years of international climate change talks.

Figure: underdisp package documentation (Bagozzi 2026)

Statistical models for political outcomes that are inflated, underdispersed, misclassified, or underreported, released as open-source R packages (underdisp and iop) so that researchers can apply them directly.

Figure: Blinova, Emuru, Emuru & Bagozzi (2026), Scientific Data 13:493, Fig. 1, CC BY-NC-ND 4.0

Geo-located attendance data and research on participation in Convention on International Trade in Endangered Species conferences of the parties.

Figure: Khatiwada, Pappu, Bagozzi & Mauriello (2026), CHI '26, CC BY 4.0

How large language models shape and evaluate political news: experiments on how readers respond to AI-rewritten news, audits of LLM evaluators that flag polarizing language, and large annotated datasets of election-period posts on X and Bluesky for harmful-content research.

Photo: Bahnfrend / Wikimedia Commons, CC BY-SA 4.0

Linked multi-modal data (texts, images, and captions) for studying Russian domestic and foreign policy speeches with computational methods.

Logo: DARSE, University of Delaware

NSF SCIPE initiative (2024-2029; PI: Sunita Chandrasekaran; co-PI: Benjamin E. Bagozzi) to build a computational and data-intensive research workforce across social science and STEM disciplines in the Mid-Atlantic region.

NSF OAC-2417814 - $4,679,886

Figure: Almquist, Bagozzi & Blinova (2025), Data in Brief 60:111543, Fig. 6, CC BY 4.0

Historical spatio-temporal dataset of North American radical environmental direct-action events, capturing protest tactics, targets, and geographic distribution over time.

Figure: Blinova, Emuru & Bagozzi (2024), Scientific Data 11:1134, Fig. 7, CC BY-NC-ND 4.0

Over 30 years of individual-level attendance data for international climate change negotiations (UNFCCC COPs), enabling analysis of delegation composition and participation patterns.

Figure: Bagozzi, Balasubramanian, Goel & Parker (2025), Data & Policy 7:e19, Fig. 4, CC BY 4.0

Framework for enhancing social media misinformation detection using topical-tactics analysis, with applications to state-linked manipulated media including Iranian COVID-19 disinformation.

Figure: Berliner, Bagozzi & Palmer-Rubin (2018), World Development 109:222-235 (accepted manuscript, LSE Research Online), Fig. 4, CC BY-NC-ND 4.0

Multi-country study of government disclosure patterns, citizen information requests, and bureaucratic responsiveness, using over one million public information requests from Mexico and other contexts.

Map: David Racca (CADSR, UD), in Yanich & Bagozzi (2025), "Reusing the News: Duplicating Local TV Content," Fig. 10, CC BY-NC-ND 4.0

Large-scale research measuring local broadcast news delocalization, television-station consolidation, and duplicated local content.

Knight Foundation · 2021-2023

Figure (adapted): Halterman, Bagozzi, Beger, Schrodt & Scarborough (2023), "PLOVER and POLECAT," SocArXiv rm5dw, Figs. 1(b) and 2(e), CC BY 4.0; panels combined

Modernized weekly political event data supporting computational social science research on conflict and political behavior.

PLOVER ontology initially supported in part by NSF SBE-SMA-1539302. This research was sponsored by the U.S. Government. The views expressed in this paper are the author’s alone and do not represent the views of the U.S. Government.

Figure: Mukherjee, Bagozzi & Chatterjee (2023), Environmetrics 34(2):e2778, Fig. 3, CC BY-NC-ND

Collaborative research on multivariate quantiles for rapid spatio-temporal threat detection.

National Science Foundation DMS-1737865