Daniel S. Hain
YOU?
Author Swipe
Breaking in or breaking through? How local specialisations shape the integration of AI technologies Open
Amid global investments in Artificial Intelligence (AI), understanding how this technology is successfully integrated into national innovation systems is a critical challenge. We analyse global patent data (1974–2018) for the world’s leadi…
The hopes and fears of artificial intelligence: a comparative computational discourse analysis Open
Artificial intelligence (AI) has captured the interest of multiple actors with speculations about its benefits and dangers. Despite increasing scholarly attention to the discourses of AI, there are limited insights on how different groups …
Understanding green regional path development: a systematic study of the Nordic regions Open
This paper addresses the gaps in understanding green regional path development and the role of firm-level agency in driving regional green transitions. By analysing a large patent dataset covering 30 years, we provide a systematic account …
Social impacts reflected in CSR reports: Method of extraction and link to firms innovation capacity Open
Assessing and comprehending the social impact of firms at global and local level is a pressing concern for both researchers and policy-makers. To address this concern, our paper contributes to the stream of literature that studies the cont…
Unveiling the neurotechnology landscape. Scientific advancements innovations and major trends Open
Scanning neurotechnology: what is being developed, where and by whom? Neurotechnology's developments hold profound implications for human identity, autonomy, privacy, behavior, and well-being, i.e. the very essence of what it means to be h…
Mapping Complex Technologies via Science-Technology Linkages; The Case of Neuroscience -- A transformer based keyword extraction approach Open
In this paper, we present an efficient deep learning based approach to extract technology-related topics and keywords within scientific literature, and identify corresponding technologies within patent applications. Specifically, we utiliz…
A Survey on Sentence Embedding Models Performance for Patent Analysis Open
Patent data is an important source of knowledge for innovation research, while the technological similarity between pairs of patents is a key enabling indicator for patent analysis. Recently researchers have been using patent vector space …
PatentSBERTa: A Deep NLP based Hybrid Model for Patent Distance and\n Classification using Augmented SBERT Open
This study provides an efficient approach for using text data to calculate\npatent-to-patent (p2p) technological similarity, and presents a hybrid\nframework for leveraging the resulting p2p similarity for applications such as\nsemantic se…
Hybrid Model for Patent Classification using Augmented SBERT and KNN. Open
Purpose: This study aims to provide a hybrid approach for patent claim classification with Sentence-BERT (SBERT) and K Nearest Neighbours (KNN) and explicitly focuses on the patent claims. Patent classification is a multi-label classificat…
The Privatization of AI Research(-ers): Causes and Potential Consequences -- From university-industry interaction to public research brain-drain? Open
The private sector is playing an increasingly important role in basic Artificial Intelligence (AI) R&D. This phenomenon, which is reflected in the perception of a brain drain of researchers from academia to industry, is raising concerns ab…
An evolutionary view on the emergence of Artificial Intelligence Open
This paper draws upon the evolutionary concepts of technological relatedness and knowledge complexity to enhance our understanding of the long-term evolution of Artificial Intelligence (AI). We reveal corresponding patterns in the emergenc…
Introduction to Rare-Event Predictive Modeling for Inferential Statisticians -- A Hands-On Application in the Prediction of Breakthrough Patents Open
Recent years have seen a substantial development of quantitative methods, mostly led by the computer science community with the goal of developing better machine learning applications, mainly focused on predictive modeling. However, econom…
A Text-Embedding-based Approach to Measure Patent-to-Patent\n Technological Similarity -- Workflow, Code, and Applications Open
This paper describes an efficiently scalable approach to measure\ntechnological similarity between patents by combining embedding techniques from\nnatural language processing with nearest-neighbor approximation. Using this\nmethodology we …
A Text-Embedding-based Approach to Measure Patent-to-Patent Technological Similarity -- Workflow, Code, and Applications Open
This paper describes an efficiently scalable approach to measure technological similarity between patents by combining embedding techniques from natural language processing with nearest-neighbor approximation. Using this methodology we are…
Text-based Technological Signatures and Similarities: How to create them and what to do with them. Open
This paper describes a new approach to measure technological similarity between patents by leveraging their textual description. Using embedding techniques from natural language processing, we represent their description as a high dimensio…
Capital market penalties to radical and incremental innovation Open
Purpose The purpose of this paper is to investigate how access to financing for incremental as well as radical innovation activities is affected by firm-specific structural and behavioral characteristics. Design/methodology/approach Deploy…
Local competence building and international venture capital in low-income countries Open
Purpose The purpose of this paper is to shed light on the changing pattern and characteristics of international financial flows in the emerging entrepreneurial ecosystems of Sub-Saharan Africa (SSA), provide a novel taxonomy to classify an…
The Small, the Young and the Innovative. A Panel Data Analysis of Constraints on External Innovation Financing Open
This article investigates how access to external financing for innovation activities is affected by firm-specific structural, behavioral and outcome characteristics. External financing represents a critical factor in determining industrial…