Collective Intelligence for Predictions, Innovation, Work and Competitiveness

The course offers the opportunity to understand and apply collective intelligence and ‘bottom-up’ information aggregation in an organization. The course explores how important stakeholders of an organization (both internal and external “global” crowds) can use platforms collectively to advance creativity, innovation, workflows and predictions of uncertainties. Collective intelligent tools are already emergent technologies that can help companies to stay agile in the 21st century.

In this course, you will learn to harness the tacit knowledge through employee predictions. This will help you as a decision-maker to build a foundation for more accurate information for your decision-making. Thus, you will be able to develop a more competitive organization as you receive accurate information in lead time for your decisions.

You will also learn to harness collective intelligence from internal and external crowds to accelerate the organization’s innovation rate and thereby build new innovative and competitive advantages.

You will learn to crowdsource tasks solutions from external crowds to expand the skill-base of the organization and strengthen agility while reducing costs in the supply chain and build competitiveness.

The course introduces managers to set up and run ongoing crowdsourcing activities with the purpose of aggregating collective intelligence in crowdsourcing platforms from important stakeholder groups such as employees, customers, suppliers, and external crowds.

The course builds decision makers’ ability to select, analyze and develop accelerating growth though collective intelligence by adopting:

-    crowdsourcing for predictions
-    crowdsourcing for innovation
-    crowdsourcing for work

The course highlights the important role of users and crowds as an important source for competitive advantage. The course will include various open innovation and crowdsourcing strategies such as:

-    search mechanisms
-    motivational aspects
-    platform assessment
-    crowdsourcing methods

Background

The course starts with the premise of The Fourth Industrial Revolution which represents a fundamental change in the way we live, work and relate to one another. It is a new chapter in human development, enabled by extraordinary technology advances commensurate with those of the first, second and third industrial revolutions. These advances are merging the physical, digital and biological worlds in ways that create both huge promise and potential peril.

The speed, breadth and depth of this technological revolution are forcing us to rethink how organizations, municipalities, communities and countries create value. For decision makers, it raises a need for reviewing the logic and practice of current business management in the light of both globalization and the use of technology, but also in transitioning administrative management to smart management and use of artificial intelligence facilitated by collective intelligence. Further, the networking of companies and the widespread use of knowledge as an intangible asset such as intuition, sensing and predictions, creativity and insight will become cornerstones in rethinking and assessing the validity of existing management systems to respond to changes in the business environment and market volatility.

 

With the course you will achieve the following competencies::

  • Advancing collective intelligence competencies
  • Integrating and motivating crowds (e.g. employees, customers, suppliers, external crowds and other relevant stakeholders) in decision making, task solution and innovation.
  • Designing platforms for crowdsourcing activities
  • Building a growth mindset in your organization
  • Integrating collective intelligence and artificial intelligence (hybrid intelligence)
  • How to build a more inclusive and crowd-oriented organization

 

Teacher

Carina Antonia Hallin
Dr. Carina Antonia Hallin is the Founder and Research Coordinator of the Collective Intelligence Group at the IT University of Copenhagen (ITU) and a Research Affiliate at the MIT Center for Collective Intelligence (CCI). Hallin has published in the disciplines of collective intelligence, decision support systems, artificial intelligence, computer science, strategy, and management; and has a strong research interest in the validation of new decision support systems for organizations and governments.
 
Hallin is also the founder of the first collective intelligence and crowdsourcing course in Denmark launched in 2015 at the Copenhagen Business School. Simultaneously, she is managing the course of Database Use and Design at the IT University of Copenhagen in the Global Business Informatics Program.
 
Hallin is a listed knowledge partner to the United Nations Development Programs (UNDP) on collective intelligence. She is also a regularly invited speaker on collective intelligence at international and national gatherings, such as The Organisation for Economic Co-operation and Development (OECD), the National Endowment for Science and Technology and the Arts (NESTA) in London, and Dreamocracy on collective intelligence for the common good in Brussels.

YOU

Multiple stakeholders will benefit from this course as it covers design themes for the entire product life-cycle. Professionals from the following functions are in focus for the three day course: 

  • Clinical Research, evidence and adoption.
  • Market research, medical marketing, and market access. 
  • HCP engagement
  • Connected health / Digital health / E-health 
  • Patient education 
  • Patient insights and design development.

Practical

Time and place:
The course is currently not open for registration. Sign up for our email list here, and we will update you when new course dates are announced.

Admission requirements
There are no admission requirements.

Price
15.000 kr. The price does not include value added tax.

Details:
The course is taught in English. There is no exam but you will be awarded a certificate upon completion of the course.