Collective Intelligence Unit

Research Projects

 

PROJECT 2017-2020

Crowd predictions from the frontline: A proactive decision tool for dynamic, strategic management.
Applying new crowd prediction methods, this project studies and validates crowd predictions as a decision tool. This is done through firm specific designed prediction software that collects updated information from the frontline in Danish multinational corporations, enabling management to create a better basis for proactive decisions in turbulent global markets.
The project is funded by the Danish Industry Foundation and headed by Assistant Professor Carina Antonia Hallin, Professor Torben Juul Andersen and Project Leader Cecilie Olesen.

PROJECT 2017-2018

An Exploratory Study of the Early Adaptation Phase of Collective Intelligence and Crowdsourcing Practices within Organizations.
Data transcription funded by Via University, Flemming Binderup Gammelgaard.

PROJECT 2016-2019

A Study of Household Credits, Debts and Savings and Regional GDP: Advancing predictability of Fluctuations Integrating Big Data and Crowdsourcing of Predictions in the Financial Sector.
The project is funded by the research program Nordic Finance and the Good Society, Center for Corporate Governance, INT, the project is headed by Assistant Professor Carina Antonia Hallin, Collective Intelligence Unit, and computer scientist, Dr. Oded Koren, Shenkar College of Engineering and Design, Israel.

Aim of the project: 
To explore new prediction approaches and data to forecast the use of credits, debts and savings at the regional level in Denmark, and to investigate links between forecasts of such financial variables and the Regional Gross Domestic Product.

PROJECT 2016 - 2017

A Study of Collective Intelligence Behavior and Practices by the Largest Companies in Denmark.
The project was funded by the crowdsourcing company Cosmic People and headed by Assistant Professor, Carina Antonia Hallin, and Project Leader, Julian Umbhau Jensen.

Aim of the project: 
To investigate the level of knowledge and application of collective intelligence and crowdsourcing methods amongst decision-makers in Denmark's largest companies across different sectors.

PROJECT 2015 – 2016 

Crowd Predictions in the Multinational Corporation.
The case for this project is Maersk Training’s headquarter and their globally distributed subsidiaries serve as the research setting. The project was headed by Assistant Professor, Carina Antonia Hallin, and Research Assistant, Anne Sofie Lind, Collective Intelligence Unit.

Aim of the project: 
To investigate how crowd predictions of identified strategic issues can increase foresight and support decision makers in the Multinational Corporation. Further, to measure prediction accuracy of identified strategic issues by employee crowds in the global subsidiaries. 

Creating Better Foresights
The project was funded by Copenhagen Airports and was headed by Assistant Professor, Carina Antonia Hallin and Research Assistant, Christian Blem Charity, Collective Intelligence Unit.

Aim of the project: 
To collect prediction data to test and validate underlying crowd predictions theory by using existing theoretical models and methods to aggregate predictions and linking them to corporate performance.

The page was last edited by: Department of International Economics and Management // 08/24/2017