Lukas Pukelis

• Doctor of Philosophy (Political Science)
• Analyst at Public Policy and Management Institute

The power to veto legislation and return it to parliament is one of the most prominent presidential powers and a major source of presidential activism. Until now, research has mostly focused on the frequency of presidential vetoes—that is, how often presidents use veto power. However, we still know relatively little about the determinants of veto s...

Few presidents in Europe have the power to propose legislation directly to Parliament. Accordingly, presidential legal initiatives in Europe are not very well researched or understood. This paper seeks to address this research gap by providing an analysis of presidential legal initiatives in Lithuania. We have assembled a dataset of all the preside...

This article aims to analyse the populist discourse of Lithuanian political parties over a 30-year period: 1990–2020. Since Lithuania belongs to the CEE region, the question arises whether it is witnessing a worrying rise of populism and a related backsliding of democracy. Although Lithuania is currently a stable consolidated democracy, the lack of...

Presidential research commonly focuses on the most prominent cases of going public by presidents in semi-presidential regimes: such as expressing a lack of trust in the cabinet members. However, it is also important to understand the day-to-day functioning of semi-presidential republics and routine efforts by the presidents to insert themselves int...

Despite concrete indicators and targets, monitoring the progress of the UN Sustainable Development Goals (SDGs) remains a challenge, given the many different actors, initiatives, and institutions involved. OSDG, an open-source classification tool aims to help navigate the SDG related ambiguities through a simple and easy to use application. The too...

This article presents data on companies' innovative behavior measured at the firm-level based on web scraped firm-level data derived from medium-high and high-technology companies in the European Union and the United Kingdom. The data are retrieved from individual company websites and contains in total data on 96,921 companies. The data provide inf...

This paper demonstrates a method to transform and link textual information scraped from companies' websites to the scientific body of knowledge. The method illustrates the benefit of Natural Language Processing (NLP) in creating links between established economic classification systems with novel and agile constructs that new data sources enable. T...

In this paper we present an approach to develop a text-classification model which would be able to identify populist content in text. The developed BERT-based model is largely successful in identifying populist content in text and produces only a negligible amount of False Negatives, which makes it well-suited as a content analysis automation tool,...

In the semi-presidential system of Lithuania, a tradition to elect non-partisan presidents coexists with re-occurring conflicts between prime ministers and presidents over cabinet composition. We investigate what factors increase the probability of presidential activism in this field, i.e. when the president attempts to affect ministerial selection...

Sustainable Development Goals (SDGs) bring together the diverse development community and provide a clear set of development targets for 2030. Given a large number of actors and initiatives related to these goals, there is a need to have a way to accurately and reliably assign text to different input: scientific research, research projects, technol...

Poster presents an approach to estimate company innovation performance by utilizing public data on their websites.

Artificial Neural Networks (ANNs) are being increasingly used in various disciplines outside computer science, such as bibliometrics, linguistics, and medicine. However , their uptake in the social science community has been relatively slow, because these highly non-linear models are difficult to interpret and cannot be used for hypothesis testing....

Artificial Neural Networks (ANNs) are being increasingly used in various disciplines outside computer science, such as bibliometrics, linguistics, and medicine. However, their uptake in the social science community has been relatively slow, because these highly non-linear models are difficult to interpret and cannot be used for hypothesis testing....

Though it is not disputed that the chairs of parliamentary committees in many European countries have substantial power and influence over the work of the legislature, they have been unduly neglected by existing research. Current scholarship on committee chair allocation between the party groups and the roles they perform in coalition cabinets is n...

Santrauka The three Baltic states have joined the European Union almost a decade ago, but as of yet no research has been carried out von how the membership in the EU has affected the national political systems of these countries. This article overviews the literature on how EU membership affects the relationship between legislative and executive b...