Lab for open
in science

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Knowledge is spreading ever faster; it is subject to permanent change and often ends up in unexpected places. The Lab for Open Innovation in Science, LOIS, is the first education programme in which scientists can learn how to apply Open Innovation methods and principles along the entire process of generating and disseminating new scientific knowledge.



Through LOIS, the Ludwig Boltzmann Gesellschaft offers a professional development programme for Open Innovation in Science (OIS) to scientists who are interested in developing knowledge and skills related to

  • applying Open Innovation methods and principles in their own research and dissemination processes,
  • assessing the risks and opportunities of doing so,
  • qualifying for which types of research activities or phases within a specific research project it is possible and reasonable to apply which Open Innovation search and collaboration approaches, and
  • evaluating and developing ecosystems for Open Innovation in Science within their own research units, scientific communities, but also generally in society. 

The first LOIS is specifically designed for 20 eligible early-to mid-career scientists within the field of health sciences and will be held in blocked modules from spring 2016 to spring 2017 in Vienna, Austria. 

  • exclusive professional development (17.5 days within one year) for scientists, in-class workshops, discussions, experimentation and practical implementation
  • faculty body that consists of leading Open Innovation experts from international universities, research institutions and companies sharing their knowledge
  • hands-on learning – interaction and small groups ensuring a high degree of learning exchange
  • real world cases – starting points are provided by participants, project partners, respectively the crowdsourcing project Tell us!
  • globally networked initiative – LOIS provides access to international good-practices and networks in the field of Open Innovation

Cases, readings and assignments will be used to highlight issues and problems that scientists and researchers face as they create and implement processes, structures and strategies to implement Open Innovation in Science. By completion of LOIS, participants will have:

  • familiarity with state-of-the art concepts relevant for Open Innovation in Science, and a comprehensive understanding of how different practices of openness and collaboration could impact research
  • competences related to identifying, integrating and appropriating, possibly even to date unknown, sources of knowledge into their day-to-day work
  • skills to provide their organisations with special knowledge from a variety of external sources
  • skills to make use of innovative knowledge from their organisations to benefit others in a win-win situation – for society in general, for other research institutions or businesses
  • competences in developing their organisations’ ability to benefit from applying Open Innovation principles and methods in science

To achieve these goals, the programme is divided into different modules


The LOIS curriculum comprises 13 individual training modules within a 12-month period. It is complemented by a kick-off and a closing module. The individual modules are grouped into basic and specialization modules with regards to content, into six major blocks... read more

LOIS includes:

KICK-OFF (1 day)

15 April 2016

  • LOIS goals, framework, roles and culture
  • LOIS Teambuilding
  • keynote speech by Eva Guinan, Harvard Medical School, USA
  • keynote speech by Rudy Dekeyser, Health Economics Fund, Belgium
  • OIS good-practice examples and experiences
  • OIS lab-project introduction 

The basic modules for Open Innovation in Science provide participants with an overview of state-of-the-art Open Innovation principals, methods, determinants and effects in the context of corporate innovation initiatives; classify them vis-à-vis existing open science concepts such as open access, open data or open evaluation; and facilitate the development of a more comprehensive framework for applying Open Innovation along the entire process of scientific discovery and exploitation.

Module 1 (1 day, 16 April 2016)
Open Science within Open Innovation in Science
  • introduction to the concepts of open science, open data and open access
  • potential and challenges of open-access publishing, state-of-the-art sharing practices of research data and results, new modes of global scientific collaboration and new approaches to open evaluation/reviewing
  • integration of open science in research practices
  • positioning open science and Open Innovation in science
Module 2 (1 day, 5 May 2016)
Creating and Capturing Value in Science and Business
  • the institutional logics of research institutions and corporate firms
  • the “business model concept” in science and business: How is value created in science and business and for whom, how is it delivered, who captures it, why and how?
  • innovation processes in science and business
  • science thinking and innovation thinking along the process of scientific discovery and exploitation
  • the role of openness, external knowledge sourcing and collaboration in creating, delivering and capturing value in science and business
  • industry-science links and their governance
Module 3 (2 days, 6 and 7 May 2016)
Open Innovation Basics
  • Open Innovation basics and principles in business
  • good-practices and case studies of Open Innovation
  • distributed sources of innovation and knowledge
  • Open Innovation search and collaboration methods and practices
  • antecedents and consequences of Open Innovation
  • structural, cultural and strategic arrangements in organizing for Open Innovation
  • intellectual property rights (IPR) basics, IPR strategies and IPR management in Open Innovation systems
  • opportunities, risks and contingency factors related to applying Open Innovation
Module 4 (1 day, 8 May 2016)
Mapping Open Innovation in Science
Content: An interactive workshop aiming at:
  • mapping options for applying Open Innovation principles and methods along the entire scientific discovery and exploitation process, classifying them and developing an Open Innovation in Science funnel
  • identifying opportunities and challenges related to applying Open Innovation principles and methods in science
  • discussing which problems related to contemporary academic activities could/could not be solved by applying Open Innovation principles and methods in science

The specialisation modules in OIS enable participants to develop in-depth knowledge about specific Open Innovation in Science methods, antecedents and consequences along the entire process of scientific discovery and exploitation.

Module 5: (1 day, 17 June 2016)
Crowd Science and Crowd Funding
  • basics approaches, mechanisms and applications of crowdsourcing
  • applications and good-practice examples of crowdsourcing mechanisms in science (crowd science)
  • characteristics of crowd science projects (open participation, open sharing, etc.)
  • benefits and challenges of crowd science
  • case examples of applying crowdsourcing in health sciences (e.g., Foldit)
  • type and nature of tasks along the scientific discovery and exploitation process for which particular benefits or challenges of crowd science are likely to be most pronounced
  • crowdfunding science
  • outlook – prospects of applying crowdsourcing in (health) sciences

Module 6: (1 day, 18 June 2016)
User-driven Science

  • case studies and good-practice examples of users and user communities driving or significantly contributing to scientific discovery and/or exploitation in (health) sciences (including an introduction to the process and outcome of CRIS – Crowdsourcing Research Questions in Science, a pilot project related to involving patients who suffer from mental illnesses, their families, caretakers, employers, doctors, etc. in the process of developing research questions and hypotheses for basic science)
  • opportunities, challenges and contingency factors related to involving users in (health) sciences
  • outlook – prospects of involving users in (health) sciences

Module 7: (1 day, 19 June 2016)
Collaborative Science

  • basic principles, concepts and case examples related to collaborative science
  • featuring the case of the ATLAS Experiment and other on-going collaborative science initiatives at CERN
  • establishing structures in collaborative science projects
  • opportunities, challenges and risks involved in collaborative science projects
  • mechanisms for managing problems and conflicts in collaborative science
  • antecedents and consequences of initiating or participating in collaborative science projects related to knowledge ownership, co-authorships, tenure processes, etc.
  • outlook – prospects of collaborative (health) science

Module 8: (1 day, 30 September 2016)
Science-based Entrepreneurship and Innovation

  • basic principles and mechanisms related to translating science into innovation (commercial and non-commercial modes of exploiting scientific knowledge): University-Industry collaborations, science-based entrepreneurship (including science-based social entrepreneurship), patenting and licensing, etc.
  • the role of openness and external partnering in science-based entrepreneurship and innovation
  • good-practice examples and case studies related to translating (health) science into innovation
  • specific opportunities and challenges involved in science-based entrepreneurship and innovation in the field of health sciences

Module 9: (1 day, 1 October 2016)
External Partnering for Commercializing Science

  • identification and selection of external partners for commercializing science
  • opportunities and challenges involved in partnering with externals
  • managing the differences in science vs. business related to objectives, pace, language, etc. in collaborating with external partners (companies, VCs)
  • contracting and IPR in the context of commercializing science
  • the role and value of tech-transfer offices in supporting the commercialization of science
  • working with/using intermediaries and platforms for commercialization science (e.g., researchers as suppliers to platform challenges)
  • human resource management and incentives in the context of commercializing science
  • good-practice examples and case studies related to external partnering in the commercialization of (health) science

Module 10: (1 day, 2 October 2016)
Technological Competence Leveraging

  • mapping statistics related to the utilization of science-based knowledge and technologies
  • systematically identifying, evaluating and selecting potential application areas for science-based technological resources and competences (patented or non-patented) using Open Innovation search methods
  • translating science-based technological competences and resources into value propositions for one of more application areas (e.g., markets)
  • developing implementation strategies for qualified application areas
  • good-practice examples and case studies related to technological competence leveraging in (health) sciences

Module 11: (2 days, 21-22 October)
Ecosystems for Open Innovation in Science

  • ecosystems that facilitate Open Innovation in Science on the network level (stakeholders, actors and their relations in the external ecosystem)
  • ecosystems that facilitate Open Innovation in Science on the university/department/research unit level (organisational designs, cultural and structural arrangements, strategic antecedents, human resource management, etc.)
  • relevant characteristics of open (research) organisations and entrepreneurial universities
  • interactive workshop discussing and determining problems related to applying Open Innovation principles and methods in existing ecosystems and developing ways for addressing/overcoming them

Module 12: (1 day, 18 November 2016)
Individual Capacities for Openness and Sharing in Science

Content: Interactive workshop for
  • training the ability to make connections and think outside of one's own discipline, questioning fundamental assumptions about one's own scientific practice and about the role and understanding of other sciences and scientific practices
  • experimenting with understanding and presenting work from other disciplines, reflecting on the ability to understand and selectively perceive and evaluate within the frame of one's own practice
  • questioning the individual potential for openness, revealing deeply ingrained beliefs, training the ability to navigate in the unknown
  • learning about concepts and methods for increasing the individual capacity for openness and sharing in science

Module 13: (1 day, 19 November 2016)
Disseminating and Communicating Science

  • basic principles, methods and channels for communicating and disseminating science
  • relevant stakeholder groups, their characteristics and needs related to obtaining information about/from science
  • opportunities and challenges involved in increased demands for, and levels of, science communication and dissemination
  • good- and bad-practice examples related to communicating and disseminating science
  • using Open Innovation methods and tools (including platforms, social networks, etc.) for communicating and disseminating science
  • specific challenges involved in communicating and disseminating within the field of health sciences
LOIS CLOSING (1.5 days)
Integrating Open Practices in Science
(1 day, 17 February 2017)
Content: Interactive workshop for discussing:
  • if, and if yes, how the application of Open Innovation principles and methods can become a sustainable model for creating and capturing value in science, i.e., how OIS is not done for the sake of openness, but for actually increasing the quality and impact of science
  • how do Open Innovation principles and methods actually support (health) science, what makes them sustainable (or not), and which practices does it take to sustainably incorporate Open Innovation methods and principles
  • insights into institutionalization practices, sustainable sharing, cumulative cross-disciplinary work, and how to found invisible colleges
  • reflections and potential modifications related to the OIS map developed in Module 4

Closing Event
(0,5 days, April 2017 - TBD)

  • reflections upon LOIS
  • lab project update
  • graduation ceremony
  • keynote speech
  • outlook and next steps

LOIS participants will have the possibility to develop and run actual Open Innovation in Science projects over the term of LOIS. The lab project development and implementation is accompanied by three lab project meetings (scheduled together with regular LOIS modules) and facilitated by online and/or personal supervision and coaching sessions with Open Innovation experts. Lab project coaches will be selected and assigned on the basis of creating the best possible fit between the nature of the Open Innovation in Science project and the coaches’ expertise.

Lab project procedure and schedule:

  • lab project launch (detailed information about lab project procedure, framework, requirements and submission deadline): Kick-off (April 2016, 30 minutes)
  • lab meeting 1: Discussion and selection of lab project proposals (October 2016, together with Module 11, 2 hours)
  • Lab meeting 2: Discussion of intermediary project results and experiences (February 2017, together with workshop on integrating open practices, 2 hours)
  • lab meeting 3: Discussion of final/updated project results and experiences (April 2017, scheduled together with closing event, 2 hours)


These are the appointments in Vienna:
15 –16 April 2016Kick-Off and Module 1
5 –8 May 2016Module 2, 3 and 4
17 –19 June 2016Module 5, 6 and 7
30 Sept. – 2 Oct. 2016Module 8, 9 and 10
21 —22 October 2016Module 11
18 —19 November 2016Module 12 and 13
17 February 2017Closing Module
Half a day in April 2017 TBDClosing Event
FACULTY (preliminary)
Marion Poetz

Prof. Marion Poetz

Academic Director of LOIS - Copenhagen Business School, Department of Innovation and Organizational Economics, Denmark

  • Prof. Oliver Alexy, Technische Universität München, School of Management, Germany
  • Prof. Karin Beukel, University of Copenhagen, Department of Food and Resource Economics, Denmark
  • Prof. Marcel Bogers, University of Copenhagen, Department of Food and Resource Economics, Denmark
  • Dr. Rudy Dekeyser, Health Economics Fund, Belgium
  • Prof. Christoph Grimpe, Copenhagen Business School, Department of Innovation and Organizational Economics, Denmark
  • Prof. Eva Guinan, Harvard Medical School, Department of Radiation Oncology, USA
  • Prof. Stefan Haefliger, City University London, Cass Business School, UK
  • Dr. Katja Mayer, University of Vienna, Department of Social Studies of Science and Technology, Austria
  • Dr. Markus Nordberg, CERN, Development and Innovation Unit, Switzerland
  • Dr. Tinna C. Nielsen, Move The Elephant For Inclusiveness, Denmark
  • Dr. Maria Theresa Norn, The Think Tank DEA, Denmark
  • Prof. Reinhard Prügl, Zeppelin University, Chair of Innovation, Technology and Entrepreneurship, Germany
  • Prof. Henry Sauermann, Georgia Institute of Technology, Scheller College of Business, USA
  • Prof. Philipp Tuertscher, VU University Amsterdam, Knowledge, Information, and Networks research group, Netherlands
  • Prof. Martin Wallin, Chalmers University of Technology, Gothenburg, Sweden
  • Dr. Marianne Weile, Novozymes A/S, Denmark
  • Dr. Leid Zejnilovic, Catolica-Lisbon School of Business and Economics, and Patient-Innovation, Portugal
  • Prof. Patrick Kenis, Tilburg University, Netherlands and WU Vienna
  • … plus international guest speakers

The LOIS modules apply an interactive and problem-based teaching approach, and combine a mix of mini-lectures, ad-hoc group work based on exercises, good-practice examples and case study analysis, in-class workshops and discussions, and guest speakers. The modules focus on active participation and learning by participants. Lecturers (including guest speakers) support learning and participation through supplying conceptual, tool-based and reflective inputs. To additionally facilitate the bridging between theory and practice, the course will enable participants to discuss and work on questions and challenges from their own professional environments. Problem-based learning is furthermore supported by implementing actual lab projects. Engaging in lab projects provides participants with the possibility to directly translate their learning into practice, and experiment with Open Innovation in Science in a supervised environment.


Participants will receive an overall programme certificate upon completion of the entire programme, as well as individual module certificates mentioning the title of the module and its start and end dates at the end of each module.


EUR 1,500 (VAT-exempt) including course materials. The fee does not cover cost of travel or accommodation.




LOIS addresses researchers and scientists from Universities, Universities of Applied Sciences and other (non-profit) research organizations.

The first LOIS is primarily targeted towards early- to mid-career scientists in the field of health sciences who:

  • have a clear interest in learning about, discussing and experimenting with new ways of opening up research processes, beyond what we already know about Open Access or Open Data. 
  • are in a position (already today or during their next career steps) to influence their own, as well as their team members' or colleagues’, work environments, for enabling the application of Open Innovation methods and principles in science.
  • are willing and able to commit themselves to actively participating in all different LOIS modules (attendance is mandatory), as well as in different roles related to lab projects.