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BIG DATA – BIG IMPACT PROGRAMME BIG DATA TECHNOLOGIES – Current use and future potentials Aarhus University November 13, 2014

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Page 1: BIG DATA – BIG IMPACT PROGRAMME - Aarhus Universitet · BIG DATA – BIG IMPACT PROGRAMME BIG DATA TECHNOLOGIES – Current use and future potentials Aarhus University November

BIG DATA – BIG IMPACTPROGRAMME

BIG DATA TECHNOLOGIES – Current use and future potentials

Aarhus UniversityNovember 13, 2014

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BIG DATA – BIG IMPACT CONFERENCE 3

A close collaboration between businesses, governmental parties and researchers plays a crucial role in the continuing development of solutions that may help solve grand challenges of our society, both nationally and globally. Big data holds a huge potential in helping us solving some of these challenges.

The focus of this day is the practical use of big data. Through four keynote speeches and several case presentations it is our hope that you will find inspiration for future solutions. To fulfil this inspira-tion there is need for professional collaboration, and there is a large potential for a close collabo-ration between your company or institution and Aarhus University; a potential we hope to inspire engagement in.

WELCOME

We warmly welcome and value your input today. This conference aims at gathering people with various backgrounds with the intention that you this afternoon will leave Aarhus University with new contacts that can help you make great ideas through the use of big data.

We are delighted to welcome you at what prom-ises to be a highly educational and inspirational meeting on ‘Big Data – Big Impact’.

It is a great pleasure to welcome you to the Aarhus University conference on Big Data – Big Impact.

Yours sincerely,Allan FlyvbjergDean

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BIG DATA – BIG IMPACT CONFERENCE 5

PROGRAMME

08:00 Registration

09:15 WelcomeAllan Flyvbjerg, Professor, Dean of Faculty of Health, Aarhus UniversityM3 Auditorium

09:30 Big Data – Possibilities and ChallengesLars Arge, Professor, Dept. of Computer Science, Aarhus UniversityM3 Auditorium

10:15 Coffee break in The Hall

10:30 IBM Healthcare: Developing Watson to Impact a Complex Industry Patrick McNeillie, Chief Physician Researcher, Watson Healthcare, IBMM3 Auditorium

11:15 Big Data – Big Security Problems?Ivan Damgård, Professor, Dept. of Computer Science, Aarhus UniversityM3 Auditorium

12:00 Lunch in The Hall

13:00 Case presentationsThe afternoon case presentations will be divided in 4 parallel thematic sessions:• Societal Processes• Business• Healthcare• TechnologyThe Hall or M3 Auditorium

16:00 Big data as a growth factor in Danish Business (in Danish) Sigrid Wilbeck, Head of Section, Danish Business AuthorityM3 Auditorium

16:45 Closing noteMogens Nielsen, Professor, Dept. of Computer Science, Aarhus UniversityM3 Auditorium

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CASE PROGRAMME

SESSION: SOCIETAL PROCESSES (The Hall)

Steered by Jan IfversenVice Dean, Faculty of Arts

13:00 - 13:20 Opening Up Municipal DataTorben Glock, City of Aarhus & Martin Brynskov, AU

13:20 - 13:40 Discussions

13:45 - 14:05 Measuring impact across social media Anne Jensen, NorthSide Festival & Anja Bechmann, AU

14:05 - 14:25 Discussions

14:30 - 14:50 Teledialogue Between Social Workers and Children Placed in Foster Care or at InstitutionsStinne H. Mathiasen, Municipality of Herning & Lars B. Andersen, AU

14:50 - 15:10 Discussions

15:15 - 15:35 Big News: Exploring Newspaper Archives and How People Use ThemJens F. Berg, Visiolink &Tonny S. Jensen, State and University Library

15:35 - 15:50 Discussions

BIG DATA – BIG IMPACTCONFERENCE6

Further information on page 16-10

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CASE PROGRAMME

SESSION: HEALTHCARE (The Hall)

Steered by Michael HasenkamVice Dean, Faculty of Health

13:00 - 13:20 skolesundhed.dk – An interactive web based child health platformThomas Jensen, Opus Consult & Carsten Obel, AU

13:20 - 13:40 Discussions

13:45 - 14:05 Patient-Reported Outcome Data in Primary Health CarePhilipp Harbig, Lægerne Vennelystparken & Kaj S. Christensen, AU

14:05 - 14:25 Discussions

14:30 - 14:50 Safe Delivery App Anders Nejsum, Visikon & Christina Braüner, AU

14:50 - 15:10 Discussions

15:15 - 15:35 Danish Hip Arthoplastry Register (DHR) – P of the Danish Orthopedic Common DatabaseTorben B. Hansen Central Denmark Region & Alma B. Pedersen, AU

15:35 - 15:50 Discussions

BIG DATA – BIG IMPACT CONFERENCE 7

Further information on page 20-23

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SESSION: BUSINESS (The Hall)

Steered by Per Baltzer OvergaardVice Dean, Faculty of Business & Social Sciences

13:00 - 13:20 Development of Service Logistics based on Position and Task Data from Super HospitalsMikkel Harbo, Femming B. Thomsen, SYSTEMATIC & Kaj Grønbæk, AU

13:20 - 13:40 Discussions

13:45 - 14:05 Waste Transportation LogisticsInge Werther, DAKOFA & Sanne Wøhlk, AU

14:05 - 14:25 Discussions

14:30 - 14:50 Using Secure Multiparty Computation to Facilitate Secure Auctions and Confidential Benchmarking Jacob Pagter, ALEXANDRA INSTITUTE, Kurt Nielsen, PARTISIA & Ivan Damgård, AU

14:50 - 15:10 Discussions

15:15 - 15:35 Increasing Customer Profitability Through Predictive Modelling of Likely Consumer Purchasing PatternsChristian S. Maltesen, COOP Danmark & Morten H. J. Fenger, AU

15:35 - 15:50 Discussions

CASE PROGRAMME

BIG DATA – BIG IMPACTCONFERENCE8

Further information on page 24-27

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SESSION: TECHNOLOGY #1 (M3 Auditorium)

Steered by Kurt NielsenVice Dean, Faculty of Science & Technology

13:00 - 13:20 Cleaning Ocean Floor Scanning DataFreek van Walderveen, SCALGO, Ole Kristensen, EIVA & Lars Arge, AU

13:20 - 13:40 Discussions

13:45 - 14:05 Air Quality at Your StreetChristian L. Fogh, Environmental Protection Agency Denmark & Matthias Ketzel, AU

14:05 - 14:25 Discussions

14:30 - 14:50 Inferring and Analyzing Transportation Behavior based on Mobile Sensing DataRolf Sode-Carlsen, RAMBØLL & Kaj Grønbæk, AU

14:50 - 15:10 Discussions

15:15 - 15:35 Flood Risk ScreeningMorten Revsbæk, SCALGO, Jeppe S. Jensen, COWI & Lars Arge, AU

15:35 - 15:50 Discussions

CASE PROGRAMME

BIG DATA – BIG IMPACT CONFERENCE 9

Further information on page 28-31

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FOTO

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SESSION: TECHNOLOGY #2 (The Hall)

Steered by Mogens NielsenVice Dean, Faculty of Science & Technology

13:00 - 13:20 Human Sensory Perception Based Healthy Eating Leslie Jørgensen, Rynkeby Foods & Derek V. Byrne, AU

13:20 - 13:40 Discussions

13:45 - 14:05 Big Data in Farm Animal GeneticsAnders Fogh, Knowledge Center For Agriculture & Bernt Guldbrandtsen, AU

14:05 - 14:25 Discussions

CASE PROGRAMME

BIG DATA – BIG IMPACT CONFERENCE 11

Further information on page 32-33

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BIG DATA – BIG IMPACTCONFERENCE12

LARS. ARGEPROFESSORAARHUS UNIVERSITY

The pervasive use of computers, as well as tremendous advances in the ability to ac-quire, store and process data, has resulted in a spectacular increase in the amount of data being collected. There are many exciting possibilities for use of the data in both science and industry – big data can potentially have a very big impact! However, there are obvi-ously also many challenges in unlocking this potential. Often its not clear what information can be extracted from the data and even less clear how to extract it.

In his talk, Arge will give examples of big data and its impact, especially highlighting how university research has resulted in innovative applications and solutions through collabora-tion between researchers and industry. He will describe some of the computer science re-search being performed at Center for Massive Data Algorithmics at Aarhus University, along with its applications in relation to for example flood risk estimation.

Arge is a Professor of Computer Science at Aarhus University and Director of the Danish National Research Foundation (Danmarks Grundforskningsfond), and Center for Massive Data Algorithmics (MADALGO). MADALGO pursues a broad basic research agenda with-in efficient algorithms for big data, but also works with industry partners and researchers from other fields on using algorithms research advances in practical applications. Thus Arge has for example both obtained significant theoretical and practical results in relation to big terrain data. Arge is an elected member of the Royal Danish Academy of Sciences and Letters and The Danish Academy of Technical Sciences, a Fellow of the Associ-ation of Computing Machinery (ACM), the recipient of the Danish Minister of Research Elite Research Award, and a co-founder of the company SCALGO that markets software and services in connection with big terrain data processing

BIG DATA – POSSIBILITIES AND CHALLENGES

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BIG DATA – BIG IMPACT CONFERENCE 13

PATRICK MCNEILLIECHIEF PHYSICIAN RESEARCHERWATSON HEALTHCARE, IBM

IBM’s approach to healthcare focuses on improving physician-patient interactions, mainly the collection, analysis, and com-munication of healthcare information. With the assistance of the medical community IBM has initially developed technologies to assist medical research, clinical practice, and healthcare management.

In this talk Dr McNeillie will discuss the data problem with healthcare and how IBM Wat-son is being developed to provide a solution. Physicians face two big data problems, medical knowledge gained from research and patient information documented in records. IBM has partnered with several of the top academic medical centers in the world to develop Watson to more effectively bring medical knowledge to physicians, to help summarize patient records, and --combining these tasks—to assist physicians in making the most appropriate decisions.

Dr Patrick McNeillie is currently working with IBM Watson Healthcare as an Oncology Con-

sultant. He attended the University of North Carolina at Chapel Hill School of Medicine, earning his doctorate in medicine. He has been active in basic science and clinical on-cology research for more than 10 years, with more than 30 peer-viewed publications. Prior to joining IBM he spoke extensively about innovations within cancer treatment. In 2012 he won the Pillsbury Award for Outstanding Oral Presentation in Clinical Medicine. In 2013 he took a year off of residency training and joined IBM as a Post-Doctoral Research Fellow. During this year he work along-side IBM computer scientists in applying the cognitive technologies of IBM Watson to healthcare. He decided to extend his time at IBM and was promoted to Chief Physi-cian Researcher of the Medical Sieve Grand Challenge. The goal of this project was to develop technology for medical image analytics. Recently, he transitioned from IBM Research to Watson Transformation to assist in bringing information technologies to the healthcare industry.

IBM HEALTHCARE: DEVELOPING WATSON TO IMPACT A COMPLEX INDUSTRY

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BIG DATA – BIG IMPACTCONFERENCE14

IVAN DAMGÅRDPROFESSORAARHUS UNIVERSITY

Companies, public organisations and intelli-gence services collect huge amounts of data at an ever increasing speed. This holds great promise for the services we can expect from computer systems but also raises questions from a security and privacy point of view.In the talk, Damgård will shed light on some of the stories told about the subject and try to distinguish myth from reality. For instance: Is there always a good reason to collect data? Are our identities and personal data safe on the Internet? Do we have any privacy left out there? Should we care? If yes, what can we do about it?

Ivan Damgård is a professor of Computer Science at Aarhus University and director of the Center for research in the Foundations of Electronic Markets (CFEM), supported by the Danish Strategic Research Council. Damgård’s research is focused on crypto-logic methods for protection of data, more specifically he has obtained a number of fundamental results on secure distributed computing. Damgård is a fellow of the Inter-national Association for Cryptologic Research (IACR) and the Editor in Chief of the Journal of Cryptology. He is also a co-founder of the companies Cryptomathic and Partisia.

BIG DATA – BIG SECURITY PROBLEMS?

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BIG DATA – BIG IMPACT CONFERENCE 15

SIGRID WILBECKHEAD OF SECTIONDANISH BUSINESS AUTHORITY

Much has been said about the potential of Big Data, however, what impact does it have on the Danish businesses? A year ago The Danish Business Authority decided to analyze the impact of Big Data in Danish businesses, and the results from a survey conducted by the IRIS Group was published in the report “Big data as a growth factor in the Danish business”. The report gives a picture of which types of companies, that are the primary us-ers of Big Data in Denmark, and highlights the various kind of barriers the companies face when dealing with big data.

Sigrid Wilbeck works in the field of big data and has worked for the national growth team, referred to as “Digital Growth and ICT” and subsequently worked on a plan for growth in this area, to be published this Fall 2014. Currently Sigrid Wilbeck is developing the use of a new public data base, the Virk Data - a data base run by The Danish Busi-ness Authority which serve Danish compa-nies who will start using public data in their businesses.

BIG DATA AS A GROWTH FACTOR IN DANISH BUSINESS

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The Municipalities and the Public Sector in gen-eral in Denmark, contains process and generate immense amounts of data. Much of this data resides in separate legacy systems and is not easily accessible for analysis, use and inspection. The reason is sometimes technical, sometimes legal, sometimes ethical and often grounded in a Public Sector cultural discourse where Open Data is not the norm.

Working with Aarhus University, the City of Aarhus has over the years begun to turn this mul-titude of challenges into a resource for planning and producing the conditions for better lives between the systems, together with its citizens.The project aims at supporting the Open Data paradigm in a context of the Public Sector. By investigating the opportunities, the risks, the utility

and the democratic value by opening up Data in one Municipality, this project has the chance to lead the way for other Public Institutions to gradually opening up their Data Vaults.

By opening up the Public Sector data, the private System Developers has a chance for a better rooted empirical based knowledge, thereby creating higher quality solutions to ensure amore SMART and efficient Public Sector.

An alternate approach to the cooperation of the Public-,the Private- and the Civil society within a project context of Open Data.

OPENING UP MUNICIPAL DATA

BIG DATA – BIG IMPACTCONFERENCE16

Torben GlockProject ManagerCitizen ServicesCity of Aarhus

Martin BrynskovAssociate professorInteraction technologiesAarhus University

SESSION: SOCIETAL PROCESSES

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BIG DATA – BIG IMPACT CONFERENCE 17

Social media plays an increasingly important role in cultural events worldwide. At concerts and festivals you often see participants with smart-phones in the air to document the event. These digital footprints of the participants create a large digital social layer that connects to the event.

The digital footprint that is left behind during a festival therefore is important in at least two ways. In a media research perspective studying social media footprints in pre-planned events may add to existing research methodologically because a new software tool and methodological consider-ations are needed in order to study the activities across platforms. Also the footprints tell us what characterizes the digital social layer of the festival. Which social media platform do they use, when do participants upload content, what kind of con-tent, with whom do they share this content, and do they tag themselves into the public data streams?

In a business strategic perspective finding pat-terns in these social media footprints may help the event managers to optimize resources and communication in the social media department.The Danish music festival NorthSide has social media as one of their strategic focus areas. The Digital Footprints Research Group has built software to collect all public social media data

streams from the NorthSide festival 2014. In collaboration with NorthSide festival and with permission from the Danish Data Agency the group also carried out qualitative interviews and data retrieval from all personal data streams.

Based on mainly public streams this presentation will highlight some of the patterns that occur in the data collected. Rethink Impact funds the research project.

The study of social media footprints allows for methodological development and research into the relationship between events and digital (social media) layers.

The project seeks to include a business partner to make precise accounts for the methodological challenges in using the software and approach-es in real life event settings.

MEASURING IMPACT ACROSS SOCIAL MEDIA

Anne JensenPartner and online manager NorthSide Festival

Anja BechmannAssociate ProfessorHead of Digital Footprints Research Group, Aarhus University

SESSION: SOCIETAL PROCESSES

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Danish children placed in foster care or at institutions are under the formal custody of social services departments. Accordingly, these departments collect a wide array of data on the children which they manage through case management software.

There are many different data providers sup-plying the social services departments with information on the children. Foster parents, biological parents and pedagogues regularly call or write the social worker in custody with various concerns. Likewise, grades are collected from schools, psychologists write capability as-sessments and teachers comment on academic abilities.

All these inputs are journalized in the depart-ment’s database which enable changing social workers to supervise the welfare and upbringing of the children on an informed foundation.

However, the children themselves do not partake directly in this continuous data collection. Rather, their dealings with social workers is often limited to biannual meetings and, in addition, mediated by pedagogues or other adults.

On this backdrop, the research project Teledia-logue seeks to develop improved and continuous communication between social workers and children through chat and video conferencing software.

In this way, children not only become more intimately acquainted with the social worker holding custody but also become more active contributors to the complex set of information through which they are represented at the social services departments.

Teledialogue allows for interdisciplinary and ex-plorative research into the relationship between citizens and state by coupling social problems with technical ones, and vice versa. The project also seeks to include stakeholders in developing a specific concept for an improved and IT-enabled communication between children and social workers - which includes chil-dren’s active participation in the data collection through which the social services departments operate.

TELEDIALOGUE BETWEEN SOCIAL WORKERS AND CHILDREN PLACED IN FOSTER CARE OR AT INSTITUTIONS

Stinne Højer MathiasenUdviklingskonsulent, phd.Municipality of Herning

Lars Bo Andersenpost doc.Aarhus University

BIG DATA – BIG IMPACTCONFERENCE18

SESSION: SOCIETAL PROCESSES

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BIG DATA – BIG IMPACT CONFERENCE 19

Newspaper archives are an important part of a society’s historical heritage by offering the public and paying newspaper readers attractive con-tent from a historic past.

The historic archives cover a number of news-paper’s entire history. Usually digital archives contain newspapers from the last up to 200 years and are fully accessible from web, tablets and smartphones.

New methods to access historic content means not only lots of new content to explore and analyze, but also new levels of data collection, and when millions of pages are available on searchable platforms, the collection of important knowledge on usage and behavior is available.

By exploring the usage of 32 million digitized newspaper pages The State and University Library provides a valuable source to data on usage and behavior of library users and newspa-per readers. Through a strategic public/private partnership between the The State and University Library and the Danish media companies, mil-lions of people get access to millions of pages.Through investigating server logs and event data there’ll be access to relevant knowledge on the interest of big events or special occasions as well

as the archives become an important source for research.

Historic content has become available to the public from the State and University Library as well as from newspaper websites owned by the media companies.

As a public/private partnership the project pro-vides access to historic media content from both libraries and media portals, which strengthens the overall approach to use historic sources.

We expect researchers to use the archive for traditional academic work such as search, col-lection of sources, reading and analyzing – just faster and easier, making it possible to cover more ground. But we also expect to attract re-searchers in the emerging field of digital humani-ties, exploring new types of research questions by using data mining, working in academic fields like language, cultural studies and social studies.

BIG NEWS: EXPLORING NEWSPAPER ARCHIVES AND HOW PEOPLE USE THEM

Tonny Skovgård JensenDirector – National Library DivisionState and University Library

Jens Funder BergCEOVisiolink

SESSION: SOCIETAL PROCESSES

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In Denmark we have unique epidemiological resources to develop an understanding of what determines health in a life-course perspective. The current project adds to the unique combina-tion of large register based cohorts and ad hoc cohorts by providing an interactive platform to share data between professionals and research-ers. The core facility is epidemiological feedback. Professionals (health nurses, psychologists, social workers, doctors) are provided feedback at an individual level (clinical decision support) and at group level (comparison with other school classes, centers). On a general population level all children at 1st, 5th, 7th and 9th grade provide detailed information on somatic and mental health for the health nurse at an individual level. This information is used to focus the clinical meeting. For children with need for social, learning support or with mental health problems specialized modules have been developed to match the professional most relevant infor-mation. Other professionals such as teachers, administrators and psychologists have access to stratified and thus anonymous data only. The major research potential lies in analytic as well as experimental epidemiology by combining these data with population registers.

Skolesundhed.dk has been developed in collaboration between the Research Program

for Mental Child Health, department of pub-lic health, Aarhus University (www.iupgrowth.au.dk), the participating Danish municipalities (especially Odense and Copenhagen) and Opus Consult, as Danish software developer company specialized in clinical databases. The develop-ment of skolesundhed.dk started in 2007 and at this point 20-25 of the 98 Danish municipalities use the application. The development has been financed by Trygfonden and the participating municipalities.

In the next phase of this project the Committee of Health Information (www.sundhedsformidling.dk) will take over the responsibility of implement-ing the application at a national level. One of the core elements of the application is the Strength and Difficulties Questionnaire (SDQ), a measure of mental wellbeing which is the worldwide most extensively used. The inventor, Robert Goodman, will be engaged in the further development of the project providing a platform for international extension. At this point the priority will be trialing out in the Nordic countries. At AU level this application is the core element in our collabora-tions with department of Computer Science, the Alexandra institute, department of economics and DPU (teaching faculty).

SKOLESUNDHED.DK – AN INTERACTIVE WEB BASED CHILD HEALTH PLATFORM

Thomas JensenCEOOpus Consult

Carsten ObelProfessorResearch Program for Mental Child HealthAarhus University

BIG DATA – BIG IMPACTCONFERENCE20

SESSION: HEALTHCARE

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BIG DATA – BIG IMPACT CONFERENCE 21

Web-based data entry software can be used to obtain accurate and detailed data on patient- reported outcome (PRO) in the health-care system. Such data can be used for diagnosis, monitoring of treatment effects and research purposes. PRO data in primary care have traditionally not been systematically collected, analysed and archived. AU researchers have initiated development of a web-based system for entering PRO measures and transmitting data to patient medical records in primary health care. The project is funded by the Danish Ministry of Health and the Lundbeck Foundation. The software, which is launched under the name ‘Sundhedsmappen.dk’, is currently applied in 110 primary care clinics in Denmark.

The new data entry system builds on collabo-ration between the research network Mental Health in Primary Care (MEPRICA) at Aarhus University and medical software consultants from Opus Consult in Risskov. PRO software

has so far been developed for diagnosis and monitoring of 1) depression, 2) anxiety disorders and 3) blood pressure measurements at home. Sundhedsmappen.dk will soon form part of the scheme developed by the Danish Quality Unit for General Practice to promote better data quality in primary care. The system will, therefore, be implemented nationwide. PRO digitalization will provide research with important and solid data, which will allow e.g. measurement of effects of psychotherapy and pharmacological treatment of depression and anxiety disorders.

PATIENT-REPORTED OUTCOME DATA IN PRIMARY HEALTH CARE

Philipp Harbig General PractitionerLægerne Vennelystparken

Kaj Sparle ChristensenAssociate ProfessorMental Health in Primary Care (MEPRICA)Aarhus University

SESSION: HEALTHCARE

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BIG DATA – BIG IMPACTCONFERENCE22

Maternity Foundation works for a world where childbirth means life, not death. The causes of maternal and newborn death and disability are complex, but we know that if women have access to family planning, are giving birth with skilled attendance and can access emergency obstetric and newborn care in case of complica-tions then the probability of maternal and new-born survival is high. Maternity Foundation works to promote these conditions so that all women can give birth safely – also in low-income coun-tries. We have an integrated focus on improving the quality of and access to health services. This includes empowering and mobilizing the local community to be in a better position to safeguard their reproductive health and train health care workers and hereby build up the clinical capacity of the health care system.

In addition to conventional approaches Materni-ty Foundation also pursues new and innovative methods in order to improve mothers’ and new-borns’ heath and survival. The use of animated educational material presented via a mobile app is one of those initiatives. The solution is de-veloped based on preliminary research done by Danish researchers and clinicians in close corpo-ration with animators form the company Visikon. The solution “Safe Delivery APP” are being tested in countries in Africa.

The Safe Delivery APP is part of both the Mater-nity Foundation and Visikon’s work to position itself as strong actors within the emerging field of mHealth. mHealth (the use of mobile phones for health promotion) is a relatively new field with an abundant unexplored potential to strengthen health interventions in both rural areas as well as the western world. In this project, research is being conducted at many levels. Both local in Ghana with questioners and interviews - and in Danmark with data pull of user interactions. You will be presented with the tale of how a local need inspired to a solution and the research pro-ject now been conducted by Christina Bräuner. The emphasis in the presentation will be on data collection, endpoints and how all the stakehold-ers, including the local Danish business, can gain from this collaboration and sharing of data.

SAFE DELIVERY APP

Anders NejsumCEOVisikon

Christina BraünerMidwife, MPH and Ph.D. Aarhus University

SESSION: HEALTHCARE

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BIG DATA – BIG IMPACT conference

23

In Denmark we do close to 10.000 primary total hip arthroplasties (THR) per year. The Danish Hip Arthroplasty Registry (DHR) was initiated by the Danish Orthopaedic Sociaty on January 1, 1995. DHR is a nationwide clinical database on pri-mary THR, revisions, and follow-up examinations in Denmark. There are now reported 120,988 primary and 19,282 revisions to the DHR in the period 1995-2012. All orthopaedic departments in Denmark report to the register. The registered data include preoperative, peroperative, and postoperative information, prospectively collect-ed using a standardized forms. Registration of primary operations and revisions is compulsory, whereas recording of follow-up examinations is voluntary. However, patients can be followed-up several years after total hip arthroplasty, de-pending on the hospital´s routine only. Through annual report data, participating orthopaedic departments are able to compare their perfor-mance in order to improve quality of treatment. The Database continually incorporates new elements to accommodate the clinical needs. Latest the focus on issues concerning the use of Metal on Metal (MoM) prostheses have led to an expansion of the DHR.

The DHR have a major impact on decision mak-ing on many levels from the political, economi-cal to the clinical, made in the operation room.

DHR is working in cooperation with the other Nordic arthroplasty registers (Norway, Finland and Sweden) in the Nordic Arthroplasty Register Association (NARA). The overall aim is to identify patients, surgeon and surgery related factors that can predict worse outcome after THR, change the treatment and clinical practice and improve patient care. NARA collaboration has resulted in several publications allowing studies on patients groups which are too small to be studies in single countries. DHR is also a member of the Interna-tional Society of Arthroplasty Registries (ISAR).DHR is an example of the work done by The Department of Clinical Epidemiology, Aarhus University - and research done base on registry data for which Denmark is renowned. The data-base is not directly connected to the Electronic Health Records or The National Patient Registry. However, using civil registration number, the data in the DHR have been be linked to several Danish administrative and clinical databases for research and clinical monitoring purposes, including Danish National Registry of Patients, Danish Transfusion Database, Danish National Prescription Database and Civil Registration System. The potential in the use of inductive statistics in connection to the DHR, and the many databases like it, is considered to be of interest to researchers from different faculties than Health at AU, private businesses and clinicians.

DANISH HIP ARTHOPLASTRY REGISTER (DHR) – PART OF THE DANISH ORTHOPEDIC COMMON DATABASE

Torben Bæk HansenProfessorExecutive consultantCentral Denmark Region

Alma Becic PedersenMD, PhDStaff specialist, Clinical associate professor KEA Aarhus University Hospital

SESSION: HEALTHCARE

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DEVELOPMENT OF SERVICE LOGISTICS BASED ON POSITION AND TASK DATA FROM SUPER HOSPITALS

In the PosLogistics projects we have developed a system for optimizing indoor route and task planning for service work primarily undertaken by orderlies in Hospitals.

Service worker Phones deliver position and sensor data to a backend that analyses indoor travelling and task performance to make unsu-pervised route and task planning algorithms that optimizes planning of service tasks. Temporary or permanent changes to the work environment, e.g. broken elevators, corridors closed for painting, are datamined automatically from the collected phone data and seamlessly used to change future route and task planning. The system utilizes WiFi-based indoor positioning and it has huge potentials for reducing waiting times and optimizing services at super-hospitals.

There are several research contributions from this project:

1) unsupervised route and travel time estima- tions based on as-traveled-data from smartphones 2) smart logistics based on indoor positioning and learning from historical data 3) Automatic task phase recognition and context-aware feedback on wearable devices.

The presentation will feature technical solutions, analysis, and experiences from real world de-ployments will be presented.

Kaj GrønbækProfessor Dept. of Computer Science, Aarhus University

Flemming Bent ThomsenVice PresidentSystematic Engineering A/S

BIG DATA – BIG IMPACTCONFERENCE24

Mikkel HarboProject ManagerSystematic Engineering A/S

SESSION: BUSINESS

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BIG DATA – BIG IMPACT CONFERENCE 25

The increased focus on sustainability has significantly impacted the waste management business in Denmark and abroad. Increasing the amount of recycling has become a focal point for public authorities. With the Resource Strategy 2013, the Danish Ministry of the Environment has formulated a strategic goal of increasing the percentage of recycling and reuse and of decreasing the amount of waste in general. Recycling and recycling costs have thus become issues of vital importance for both society and environment.

The counties in Denmark have a high degree of freedom regarding their waste strategies. Many different systems are being considered for collec-tion and handling of waste and recyclables, both regarding the degree of sorting at the house-holds and regarding the technologies used. We analyze different systems and combinations of systems in order to find the relative costs of

different waste collection systems as regards transportation. This analysis can be used as input in the strategic decisions regarding system design.

To be able to estimate the cost of a waste system, a major component lies in the estimation of the mileage needed for the waste collection and transportation vehicles. We use a quanti-tative research approach based on Operations Research to find near optimal solutions to these large transportation problems and use these to evaluate the relative cost of the systems.

WASTE TRANSPORTATION LOGISTICS

Inge WertherRessource and Waste SpecialistDAKOFA

Sanne WøhlkAssociate ProfessorCORAL Aarhus University

SESSION 4: BUSINESS

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BIG DATA – BIG IMPACTCONFERENCE26

A well-assorted supermarket may wish to sell ap-prox. 100,000 different products to its customers. A typical consumer may wish to buy approx. 10 products on a given day, ending up buying 20. The first 10 products may be planned purchases based on routine and supermarket advertising circulars. The other 10 products may be impulsive purchases chosen on the way through the super-market. Over time the consumer will develop her consumption habits in this way – as a combina-tion of habits adjusted for good offers and things catching her attention on her way through the supermarket – a potentially slow process for very habitual consumers. The standard means of affecting this process includes costly activities of product promotions together with the costly and environmentally dubious practice of printing weekly colourful circulars. Many consumers opt out of receiving these, not because they don’t want good relevant offers, but because they don’t find them being good relevant offers, or be-cause the offers they find good are few and not good enough to warrant the time to identify and act upon them. People are different but standard marketing is one-size-fits-all. And it doesn’t.

On the other hand, if retailers can tailor fewer of-ferings to the individual consumer – offerings likely to be found interesting by this specific consumer – then the consumer may be more attentive to the

individual offerings received in general from the retailer. Such a model can be predictive, i.e. based on what other similar consumers have purchased. The proposed model is not a standard market basket analysis application, as known from Am-azon.com, since the goal is not merely to guide consumers to buy like others. Instead this model aims at identifying latent consumer segments in terms of the sequence in which the product port-folio typically is expanded. Such a model provides information as to which products the consumer may be likely to add to her market basket in the future. If this addition to the product portfolio has a positive impact on the expected future value of the customer to the retailer, then the retailer may wish to accelerate this development by providing the customer with individual offers for products likely to be adopted in future purchases.

In cooperation with Coop Denmark A/S, trans-actional panel data for 10,000 households for all purchases over a period of 20 months are analyzed. For the case of this presentation, it is assessed how consumption of organic products develop per consumer over time, from one prod-uct category to another. This provides insight into how organic food products may be efficiently marketed using individual product offerings. The methodology can be applied to many other focus areas, e.g. private labels.

INCREASING CUSTOMER PROFITABILITY THROUGH PREDICTIVE MODELLING OF LIKELY CONSUMER PURCHASING PATTERNS

Christian S. MaltesenConsumer Insights DirectorCoop Danmark A/S

Morten H. J. FengerPh.D. studentAarhus University

SESSION: BUSINESS

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BIG DATA – BIG IMPACT CONFERENCE 27

USING SECURE MULTIPARTY COMPUTATION TO FACILITATE SECURE AUCTIONS AND CONFIDENTIAL BENCHMARKING

In many auctions and procurement scenarios, it is essential that the bids placed by participants are kept confidential. Not only would the game be unfair if a participant could fabricate a bid while knowing bids of other players, a possibly more serious issue is that information on loosing bids reveal information on the bidder’s economic status that could be used against him in other contexts. Thus it is important to have a technolo-gy that can guarantee participants that their bids remain confidential and that the result is correct. Furthermore, one must be able to handle large nation-wide auctions where the set of bidders is potentially all players in a certain sector. While handing all bids to a trusted third party may work in a paper-based system, such a single point of attack is unacceptable in a modern digital sys-tem. Secure Distributed Computing (also known as Multiparty Computation (MPC)) offers a way to deliver the required security guarantees without having a single point of failure. Collaboration between AU researchers and industry has led to the first industrial application of the technol-ogy, to trade EU production quotas between farmers. In a survey, 75% of the farmers said that confidentiality of their bids was important to them. Similar secure auction systems are now commercially available in the energy sector. The technology has countless other applications

in financial benchmarking, data mining across several databases, etc.

The first application of MPC mentioned above was motived by the fact that EU drastically reduced support for sugar beet production. Economists from CBS and KU analyzed the situ-ation and concluded the sugar beet production would not survive in Denmark unless a nation-wide market for trading production quotas was established – since otherwise production could not be moved to places where it pays off. Based on a series of basic research results, researchers from AU research centers SIMAP and CFEM and software engineers from the Alexandra institute designed and implemented a system that would implement the required market – a so-called double auction. As a result the spin-off com-pany Partisia was formed. Partisia now runs the auction regularly and now also markets auction solutions for use in the energy sector, allowing, for instance, SMEs to easily get the best offers for their energy supply.

Jakob PagterHead of Research and Innovation Security labAlexandra Institute A/S

Kurt NielsenCEOPartisia ApS

Ivan DamgårdProfessorCFEM,Aarhus University

SESSION: BUSINESS

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BIG DATA – BIG IMPACTCONFERENCE28

CLEANING OCEAN FLOOR SCANNING DATA

Multi-beam sonar scanning equipment can be used to obtain very accurate and detailed – and thus very big - data about the ocean floor. It is for example used to inspect the many pipelines that transport oil and gas in the ocean. Removing unwanted data (cleaning) from scanning data has traditionally been a labor-intensive manual process. Collaboration between AU computer science researchers and industry has led to soft-ware for cleaning of ocean floor scanning data that is not only (semi-) automatic but also pro-duce better results than previously. The software is now deployed on 5 continents.

The new data cleaning software is a result of a collaboration between algorithms researchers at the basis research center MADALGO at AU, developers at MADALGO spinout company SCALGO, and subsea experts at EIVA (as well as at Statoil). Theoretically efficient algorithms have been developed (and published) by MADALGO

in collaboration with EIVA and Statoil, and these results have then been further developed by SCALGO and integrated in general subsea soft-ware from EIVA. The so-called S-CAN software both result in a simpler and better cleaning process: “By means of the S-CAN feature, we have reduced the time spent on cleaning by more than 25 percent, and we obtain a far better overall result” - Per Norvald Boge, Lead Data Pro-cessor, DOF Subsea (in EIVA product brochure).

Freek van Walderveen Senior developerSCALGO ApS

Lars ArgeProfessor MADALGOAarhus University

Ole KristensenSoftware managerEIVA A/S

SESSION: TECHNOLOGY #1

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BIG DATA – BIG IMPACT CONFERENCE 29

AIR QUALITY AT YOUR STREET

Health impact assessment of air quality in Den-mark estimates that all air pollution from national and international emission sources is due to about 3,300 premature deaths in Denmark and associated with large welfare economic costs. The public is concerned with air pollution and AU regularly receives requests from individuals and also planners and regulators in public admin-istration about air quality in specific locations. It is therefore important to provide information about air quality beyond the few places where air quality is measured routinely and beyond the few locations where calculations are carried out on an annual basis as part of surveillance of air quality in Denmark. On this background an interactive website has been developed that allows the general public to view the geographic variation of air quality for selected health-related pollutants down to any of the about 2.3 million addressed in Denmark. The service is provided free of charge. The website is expected to have many users that will look for the air quality where they live, work or their children go to school etc. It will also have an interest for people who consider to move to another place, and real estate dealers have also showed interest in the data. The air quality data also provides a basis for answering a number of research questions. For example, it provides for better air pollution

epidemiological studies to establish the link between exposure to air pollution and health effects. The data may also be used to study the relationship between air quality levels and house prices or the relationship between air quality levels and socio-economic status improving our knowledge on environmental equity.

To be able to provide air quality data for all locations and addresses in Denmark for the first time, a number of air quality models have been linked and all required input data for models concerning emissions, meteorology, traffic data, street geometry etc. have been established. Danish Environmental Protection Agency has been consulted in the process of development of the service. DCE has financed the development based on funding provided by AU.

Christian Lange FoghSpecial consultantEnvironmental Protection Agency, Denmark

Matthias KetzelSenior researcherAarhus University

SESSION: TECHNOLOGY #1

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INFERRING AND ANALYZING TRANSPORTATION BEHAVIOR BASED ON MOBILE SENSING DATA

In the EcoSense project we have developed a general big data backend to collect and analyze data from a general SmartPhone sensing app framework that enables advanced analysis of traffic and transportation behavior. This gener-al platform is deployed for a number of green transportation projects, where SmartPhone apps are used for data collection.

An example of a project is “Herning Bikes to the Moon ”, facilitated by Rambøll. It supports collec-tion of data from a large number of inhabitants in a city, and machine learning algorithms on the server extracts the detected bike trips from the multitude of transportation trips and count individual and collectively biked kilometers as part of a biking campaign.

The different variants of Apps send data to gen-eral backend and different analysis and visualis-ations can be applied real-time or historically to the data collections. The smartphone apps have been distributed.

There are several research contributions from these projects: 1) collection and homogenized analysis of raw data from a diversity of smartphones with different sensor characteristics. 2) Machine learning and pattern recognition in collected data 3) accurate transportation mode detection. 4) Robust and scalable data collection backend

The presentation will feature technical solutions, analysis and experiences from real world de-ployments will be presented.

Rolf Sode-CarlsenProject ManagerRambøll A/S

Kaj GrønbækProfessorDepartment. of Computer ScienceAarhus University

SESSION: TECHNOLOGY #1

BIG DATA – BIG IMPACTCONFERENCE30

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FLOOD RISK SCREENING

Extreme weather events, e.g. with large amounts of rain in a short period of time or large sea-level rise, are becoming increasingly common. These events can have catastrophic effects on housing and other assets, for example when water gath-ers in depressions in the terrain. Thus it is impor-tant to predict what areas are in risk of flooding during such events. Collaboration between AU computer science researchers and industry has led to new flood risk screening products based on the very detailed – and thus very big - data in the national terrain model recently released by the Danish government. These products have e.g. been sold to around half of the local govern-ments (kommuner) in Denmark.

The national terrain model contains more than 20 billion height points (one per 1,6x1,6 meter) and is therefore very challenging to use in various (flood risk) analyses. Standard software simply cannot handle the big data. This problem has been addresses in collaboration between algo-rithms researchers at the basis research center MADALGO at AU, developers at MADALGO spinout company SCALGO, and hydrological ex-perts at COWI. Theoretically efficient algorithms and new flood risk screening methods have been developed (and published) by MADALGO in collaboration with SCALGO and COWI, and

these results have then been implemented and developed into products by SCALGO. SCAL-GO now markets a number of terrain software products that are capable of handling much larger datasets than other product, along with a number of data analysis products – in particular flood risk screening products – that use big and detailed terrain models, along with other big datasets (such as soil types and property values), which in Denmark are available as part of the government free data program. In collaboration with COWI, one analysis product for screening of flood risk due to extreme rain has, as mentioned, been sold to around half of the local govern-ments in Denmark.

Morten RevsbækCEOSCALGO Aps

Lars ArgeProfessor MADALGOAarhus University

Jeppe Sikker JensenHead of sectionCOWI A/S

SESSION: TECHNOLOGY #1

BIG DATA – BIG IMPACT CONFERENCE 31

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HUMAN SENSORY PERCEPTION BASED HEALTHY EATING

Atempts to increase public awareness of healthy eating practices in the Nordic countries and be-yond seem not to have led to significant changes in patterns of food purchase and consumption. Much is understood about nutrition through science and the relationship of nutrition, diet and health is communicated ubiquitously, but the question remains why then are obesity and non-communicable diseases still a significant problem in society as a result of detrimental eating habits.

In the case we will present a Nordic perspective on larger data gathering which advocates a consumer, or in broader terms, a society driven strategy in food perception research to develop and propose healthy foods which can be adapt-ed and tolerated from a human sensory and acceptance perspective into the diet.

We will present evidence of practical appli-cations of sensory research in industrial food production in Denmark and present this in the global health context.

The beverage industry has long revolved around sugar reduction as a response to heightened calorie awareness. Thus our focus will be on the case of stevia, a calorie free sweetener and sug-ar substitute made from the leaves of the plant

species Stevia rebaudiana. Stevia in principal is the perfect replacement for sugar on a nutritional level contributing zero calories to the diet. How-ever, from a human senses perspective stevia is very different in perception terms to common sugar. Stevia depending on extract used can be up to 300 times sweeter and its taste has a much slower onset and longer duration than that of sugar. Moreover, certain of its extracts have a bitter or licorice-like aftertaste at high concen-trations. These sensory effects therefore present many challenges in utilizing stevia as a direct sweet replacer in food products.

From an industrial perspective food and health research needs to investigate the role that inno-vation in foods (e.g. sensory acceptance focused healthy food development aiming for formula-tion and reformulation processes with a view to enhanced adoption) and new basic research technologies (e.g. for gaining greater insight and understanding of the mechanisms under-lying eating behaviour with respect to personal food identity and culture) could play in counter acting the continuing rise of food-related health problems. This focus in food and health research if actively integrated with the input of data from science will be effective and ensure potential for a long term impact in improving societies eating habits.

Leslie JørgensenProduct DeveloperRynkeby Foods A/S

Derek V. ByrneProfessorAarhus University

Line Holler MielbyPh.D.Department of Food Science, Aarhus University

SESSION: TECHNOLOGY #2

BIG DATA – BIG IMPACTCONFERENCE32

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BIG DATA IN FARM ANIMAL GENETICS

For decades farmers and farmers’ organizations have amassed data on the characteristics and performance of farm animals. Ever increasing amounts of data are collected in databases. They form the basis for optimizing management in everyday practice on the farm. They also form the basis for selection of the best breeding ani-mals as well as research into the genetic mech-anisms underlying differences in characteristics through close collaboration between Aarhus University and farmers’ organizations and coops.In recent years growth of data has accelerated on several fronts. Automatic collection of data is introduced everywhere. At the same time revolutionary advances in biotechnology allow inferences on animal genetics in unprecedented detail.

Close collaboration and mutual trust between the university and industry is key factors permit taking full benefit of this opportunity.

The synergy between university, industry and big data has allowed big gains in the performance of agriculture. At the same time developments are making agriculture more sustainable by pre-serving genetic diversity, improving breeding for animal health and improving resource efficiency to the benefit of the global environment.

Our research focus on exploiting huge datasets to understand the genetics of farm animals and optimize animal breeding to the benefit of farm-ers, consumers, animals and the environment.

Anders FoghTeam LeaderNordic Cattle Genetic EvaluationKnowledge Centre for Agriculture

Bernt GuldbrandtsenAssociate professorCenter for Quantitative Genetics and GenomicsAarhus University

Derek V. ByrneProfessorAarhus University

SESSION: TECHNOLOGY #2

BIG DATA – BIG IMPACT CONFERENCE 33

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BIG DATA – BIG IMPACTCONFERENCE34

AU Career is the link between students and employers. We offer various services to students to help them in their process of finding the right student job, internship, project and full time position. Some of the services are: Career counseling, Career Events, e.g. courses in CV and cover letter writing, job interviews, contract negotiations etc. We also offer the employers various recruitment services i.e. job postings in our AU Job- and Project bank – www.jobbank.au.dk.

At the Faculty of Business and Social Sciences and Faculty of ARTS we offer an extended employer branding package to employers that they can obtain by payment. Please contact us for more information about employer branding and Partnership with AU Career.

As an employer or company you are welcome to contact us for more info about our career services.

Find out more: http://careercentre.au.dk and at http://phd.au.dk/career

Contact Division Manager Jette Hammer at [email protected] for further information

AU CONFERENCE STANDS

AU CAREER DCA– Danish Centre for Food and Agriculture

DCA supports knowledge exchange between researchers at Aarhus University and authorities, companies and organizations within the food and agricultural sector. Activities include re-search-based public-sector consultancy, support to national and international research cooper-ation and strategic support to research cooper-ation with companies, organizations, trade and industry.

Subscribe to our newsletter and take advantage of our services at www.dca.au.dk

DCA – Danish Centre For Food and AgricultureAarhus UniversityBlichers Allé 20, DK-8830 Tjele Phone: +45 8715 6000E-mail: [email protected], Web: www.dca.au.dk

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BIG DATA – BIG IMPACT CONFERENCE 35

Aarhus University offers a wide range of research based activities within continuing and profes-sional development for the private and public sector. This line of activities includes master’s and MBA programmes, diploma degree programmes, full-time study at part-time, customized learning programmes and different types of other training activities.

In order to be able to cater to the needs of the corporate and public sector, continuing and professional development is organized in a specialized administrative unit responsible for the operation of the activities.

CONTINUING AND PROFESSIONAL DEVELOPMENT, AARHUS UNIVERSITY

Continuing and Professional Development at Aarhus University is offered at each of the four faculties within select areas and has a spe-cialized administrative unit located in Herning, Emdrup and Aarhus.

Learn more about the possibilities within continu-ing and professional development at www.au.dk/evu

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Aarhus University

Aarhus Universitet

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8000 Aarhus C

8715 0000

[email protected]

wwwau.dk

Aarhus University has extensive collaboration with private businesses and public authorities both domestically and abroad. Researchers from our university are always open for new opportunities to collaborate on research areas of common interest. Aarhus University engages in both short term collaborative research projects as wells as long term strategic partnerships.

RESEARCH COLLABORATION WITH AARHUS UNIVERSITY

If you wish to explore the possibilities for collabora-tion with Aarhus University please contact our One Stop Service: +45 60 20 26 62

Or visit our websites:www.au.dk/videnudveksling/innovation (in Danish)

www.au.dk/en/knowexch (in English)