Projects
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Prognostic Scoring of Innovations in Green-Tech patent clusters using Natural Language Processing
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Dark Rates in Crime
Logobject is interested in addressing the question: for every illegal incident detected, how many illegal incidents are left undetected? The research partners at ZHAW develop a novel statistical method to estimate the dark rate of illegal activity. Logobject will use this method to provide their customers with ...
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Employing Natural Language Processing to identify inconsistencies in companies’ non-financial communication
NLP &ML tools for Swiss asset managers and owners for identifying inconsistencies in companies’ financial and non-financial communication
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Tech4SDG – Guiding Swiss Asset Managers towards High-Impact SMEs
High-impact, social SMEs remain broadly unknown to impact investors and asset managers due to limited information and identification problems. To overcome the asymmetry of information and provide reliable guidance to Swiss asset managers, we aim to create an automated big data platform for the identification, ...
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Measuring the Effectiveness of Case Management using Propensity Score Matching
The effectiveness of case management (CM) is estimated using propensity score matching. A core element of the methodology is the elimination of differences in observable characteristics between the comparison groups. In particular, it will be analyzed how the reintegration rate of cases with CM differs from that of ...