All Projects of the UAS Grisons - University of Applied Sciences of the Grisons

Swiss Labor market is changing dramatically. The Future of Work project develops a disruptive prediction system determining the relevance of work activities in terms of automation and offshorability, identifying opportunities to increase the readiness of employers and employees in Switzerland.

The sustainable implementation of data-based services requires the optimisation of the sociotechnical system. The objective is to develop an approach and a set of methods on the basis of which the measures for man, technology and organisation can be taken into account and coordinated with one another.

The Integrity Talk Series aims to bring together engaged scholar and practitioners from all over the world to share and discuss current trends and challenges in the fight against corruption and fostering integrity.

Corporate responsibility is expanding more and more to (international) supply chains. In order to achieve effective and sustainable change in close collaboration with stakeholders, especially suppliers, the project aims to put the concept of collective action into practice.

The project fosters integrity management by applying methods developed for deep learning and natural language processing to the field of integrity research. Data scientists and integrity experts develop new metrics that automatically identify corruption-related issues in organizations’ internal documents and internal digital communication.

The impact of corporate compliance on business success has been so far unclear. The project will enable companies to implement the most effective and efficient corporate compliance factors, optimise costs and positively influence corporate success.

Two different social robots are employed in the project 'Use of robots in the hotel sector' and their benefit for guests, staff and the management of the hotels are analysed. Recommendations are provided for the hotel sector based on the results of the project.

The Integrity Risks Monitor (IRM) is designed to help companies proactively establish integrity within their business by applying methods and techniques from the field of automated natural language processing to integrity research.

A paradigm shift from product-centric to data-centric business models is currently taking place. The aim of the project is to develop a set of tools that will enable companies to adapt their trade compliance structures and processes to the new digital value chains.

The MedMon project draws on social media and web sources to harness patient insights for the novel and transformative concept of patient-centred drug development. Advanced information extraction components will help leverage these insights to increase the efficacy and efficiency of R&D.

The aim of this research project is to describe the challenges facing companies in Latin America in the areas of human rights/working conditions, the environment and corruption using selected examples, and to show how companies actually implement responsible management in these three areas.

Natural environments and its possibilities for outdoor recreation is ever more relevant for a healthy living and balances urban lifestyles. The project HEALPS aims to raise the awareness of the unique health-promoting potential of the Alpine region and to develop a common basis for positioning.

Big data is a key technology for many economic sectors. In this project, focus is placed on insurance companies and the ethical discussion with respect to the use of customer data and the legal regulation of data protection.

Sanctions and embargoes are a growing challenge for export-oriented Swiss SMEs. And yet some 62% of SMEs are unaware of whether their activities are subject to an export permit obligation. Guidelines that have been prepared as part of an Innosuisse project of University of Applied Sciences of the Grisons provide clarity here.

The project develops methods for the automatic acquisition, extraction and integration of decision-relevant information from heterogeneous online sources. The system uses background knowledge from domain ontologies, databases and an information value model to optimise knowledge acquisition processes.

Job-Cockpit combines web analytics with privacy-aware knowledge extraction and data enrichment methods to develop innovative semantic search and predictive analytics capabilities for the recruitment industry.

Switzerland is in favour of the free movement of goods. Nevertheless, the export of certain goods is subject to a permit. As part of this project, the 'Export control in a nutshell' guidelines for SMEs were developed with the objective of reducing export risks and meeting compliance criteria.

The IMAGINE project develops advanced information extraction methods which exploit the convergence between textual image descriptions and image content as well as linked open data to automatically obtain relevant metadata such as keywords, named entities and topics.

International cases of whistleblowing have received a great deal of media attention. The project investigated the questions: What conclusions can be drawn from this with regard to the relationship between whistleblowers and the media? And what is the practice of whistleblowing in Switzerland?

Market data with clear economic value is spread across multiple sources such as print media, web documents, blogs and social media. In the COMET project we develop key technologies for combining and analysing these heterogeneous and multimodal data.

In recent years, the demands and requirements of anti-corruption-compliance have increased for multinational corporations. The question now arises how these corporations react to the expectations.

The study shows that the ethical implications of big data go beyond the invasion of privacy. Big data is not inherently unethical in itself – applications must be individually assessed for their impact.

In the WISDOM project we integrate data from news media and social sources, develop context-aware information extraction techniques to identify stakeholders and their sentiment towards emerging trends, and provide novel performance and reliability metrics that enhance decision-making processes.

Within the framework of the project, an innovative, marketable training toolkit was developed to sensitise and train junior staff in corruption prevention.

The goal of the research was to find out if and in what areas of compliance young professionals must be sensitised and trained to avoid legal and ethical violations.

The aim of the project is to develop a digital platform that facilitates the initiation and implementation of partnerships between universities and the private sector, especially in emerging economies, regarding the Sustainable Development Goals (SDGs).

Within the scope of this project, the determinants for a successful implementation and execution of in-house whistleblower reporting systems are being examined. The identified successful practices form the base of a practical manual and a workshop concept along with associated methodical material.

CareerCoach develops knowledge extraction methods that analyze educational programs relevant to the Swiss market. A recommender system draws upon the extracted knowledge, real-time data on job vacancies, and the customer’s personal context to aid customers in optimizing their up-skilling decisions.

The PRME Anti-Corruption Toolkit was developed to provide business schools and (business) universities with extensive material to integrate anti-corruption into their courses.

Compliance and legal officers of companies in Switzerland are aiming at increasing the knowledge and awareness of corruption in national and international business. For this purpose, they established the roundtable.

The project analysed the challenges facing Swiss companies with regard to corruption abroad.