activity
20162025
most citedUsing novel data and ensemble models to improve automated labeling of Sustainable Development Goals

8 citations · 19 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DL2025

Sustainable Development Goals in Psychology: A Century of Progress in Publications

Xinyi Zhao, Ralph Hertwig, Dirk U. Wulff

The Sustainable Development Goals (SDGs) offer a lens for tracking societal change, yet contributions from the social and behavioral sciences have rarely been integrated into polic…

cs.HC2025★ 1 cited

Human learning is an understudied but promising lever for boosting human--AI synergy

Julian Berger, Jason W. Burton, Ralph Hertwig +9

Humans collaborating with artificial intelligence (AI) hold the promise of achieving superior outcomes compared to either acting alone (i.e., human--AI synergy). However, the condi…

cs.SI2025★ 2 cited

Mapping the gender attrition gap in academic psychology

Xinyi Zhao, Anna I. Thoma, Ralph Hertwig +1

Women comprise the majority of students and early-career scholars in psychology, yet they are less likely to remain active in research over time. This pattern raises a central ques…

cs.CL2023★ 8 cited

Using novel data and ensemble models to improve automated labeling of Sustainable Development Goals

Dirk U. Wulff, Dominik S. Meier, Rui Mata

A number of labeling systems based on text have been proposed to help monitor work on the United Nations (UN) Sustainable Development Goals (SDGs). Here, we present a systematic co…

cs.CL2021★ 5 cited

text2sdg: An R package to Monitor Sustainable Development Goals from Text

Dominik S. Meier, Rui Mata, Dirk U. Wulff

Monitoring progress on the United Nations Sustainable Development Goals (SDGs) is important for both academic and non-academic organizations. Existing approaches to monitoring SDGs…

stat.ML2016★ 3 cited

Estimating the Number of Clusters via Normalized Cluster Instability

Jonas M. B. Haslbeck, Dirk U. Wulff

We improve current instability-based methods for the selection of the number of clusters in cluster analysis by developing a normalized cluster instability measure that correct…