About the conference

The conference venue is the Max-Planck-Institute for Human Development in Berlin, Lentzeallee 94, 14195 Berlin, Germany. The Institute is easily accessible by public transport (train, bus) from the Berlin main train station and from its airports. See Local Information menu for more details.

International Program Committee (IPC)

• Joachim Engel, (Chair), Ludwigsburg University of Education, Germany
• Carmen Batanero, University of Granada, Spain
• Rolf Biehler, University of Paderborn, Germany
• Pedro Campos, Statistics Portugal & University of Porto, Portugal
• Iddo Gal, University of Haifa, Israel
• Peter Kovacs, University of Szeged, Hungary
• Laura Martignon, Ludwigsburg University of Education, Germany (LOC Chair)
• James Nicholson, Durham University, UK
• Jim Ridgway, Durham University, UK

Local Organising Committee (LOC)

• Laura Martignon (Chair), Ludwigsburg University of Education, Germany
• Katja Krüger, University of Paderborn, Germany
• Achim Schiller, Ludwigsburg University of Education, Germany
• Markus Vogel, Heidelberg University of Education, Germany

Whom to contact

• For all questions regarding the scientific program, submissions, presentations and timetable, or proceedings, please contact the IPC chair, Joachim Engel.
• For all questions regarding technical arrangements, accommodation and registration, please contact the Local Organizing Committee.

Organizers and Sponsors

The conference is organized by the International Association for Statistical Education (IASE) and hosted by the Max-Planck-Institute for Human Development in Berlin which is providing local support. The conference is sponsored by the European Commission through its Erasmus+ program (under the project ProCivicStat), the German Consortium in Statistics (DAGStat, German Center for Mathematics Teacher Education (DZLM), Verein zur Förderung des Stochastikunterrichts (The German stochastics education group), the SAS Institute's JMP Division, and IPUMS-International. Further support is provided by the International Statistical Institute (ISI) and by the World Bank Trust Fund for Statistical Capacity Building. Below is more information about these organizations and institutions. We thank them all!

IASE and ISI

The International Association for Statistical Education (IASE), is the international umbrella organization for statistics education, and is the education section of the International Statistical Institute (ISI). IASE seeks to promote, support and improve statistical education at all levels around the world, and help the understanding and use of information involving statistics and probability. IASE fosters international cooperation, stimulates discussion and encourages and publishes relevant research. It disseminates ideas, strategies, research findings, materials, educational resources and information via its publications, international conferences, and websites.

IASE meetings are lively gatherings that draw together many people, professionals and students interested in the learning, teaching, and understanding of statistics and probability at schools and universities, in the workplace, and in professional and societal contexts, whether as part of statistics education, mathematics or science education, in connection with the work of official statistics agencies and other data producers, and in many other contexts.

Visit the IASE website to find out more about IASE and its activities. Join IASE to network with the world-wide statistics education community and obtain discounted registration to all international activities of IASE.

The International Statistical Institute (ISI) is the worldwide network of statisticians and those interested in statistics in all disciplines, of which IASE is a part. Visit the ISI website for more information about ISI's diverse Associations, activities, and services. See further information about ISI's upcoming 61st World Statistics Congress WSC61, July 2017 in Marrakesh, Morocco. Among its activities, ISI is managing the World Bank Trust Fund for Statistical Capacity Building (WBTFSCB), which supports the participation of professionals from 'developing' countries as part of efforts by the World Bank and ISI to promote high quality statistical practices around the world.

Max-Planck-Institute for Human Development MPIB

The Max Planck Institute for Human Development (MPIB), founded in 1963, is dedicated to the study of human development and education across the lifespan and over historical time. The Institute’s research teams investigate human development by exploring questions such as “How do children learn to read?”, “How do we assess and successfully navigate the disks of everyday life?” and “How is it possible to make good decisions in an increasingly complex world?” At the MPIB researchers from diverse disciplines — including psychology, education, sociology, and history, as well as medicine, economics, computer science and mathematics — work together on interdisciplinary projects. The Institute’s four research centres and three Max Planck Research Groups are also involved in several national and international collaborative research efforts like PISA. More in a brochure about the MPI.

German Consortium in Statistics DAGStat

The Deutsche Arbeitsgemeinschaft Statistik (DAGStat) is a consortium of scientific societies and professional associations that regard the further development of statistical theory and methodology as their primary scope of duties.

The consortium’s purpose is to offer a platform for joint activities and public relations. Consequently, there is the aspiration for a greater appreciation of statistics in science as well as in the public sector.

German Center for Mathematics Teacher Education DZLM

The German Center for Mathematics Teacher Education (DZLM), initiated by the Deutsche Telekom Stiftung, was founded in 2011. It supports educators in their efforts to raise appreciation and enthusiasm for mathematics. Professional development of teacher educators, those who are supporting other teachers in their pedagogical development, lies in the focus of the Center. Furthermore, the DZLM offer continuous professional development courses and material for out-of-field teachers, mathematics teachers and educators working in elementary education.

Verein zur Förderung des Stochastikunterrichts

The German stochastics association promotes stochastic instruction in schools through regular conferences and the publication of a journal Stochastik in der Schule.

European Union EU

The conference is also co-funded by the European Union's Erasmus+ program through the project Promoting Civic Engagement via Exploration of Evidence: Challenges for Statistics Education.

SAS Institute / JMP Division

JMP is a desktop statistical discovery software from SAS that links interactive graphs with deep statistics. In the classroom, its visual approach to data exploration and analysis promotes understanding and collaboration. JMP reveals context and insight not seen in a table of numbers. The academic version of the software includes the same comprehensive and extensible capabilities that are used in the industry version. JMP is available for both Macintosh and Windows systems. More information about JMP

IPUMS-International

IPUMS-International is a global partnership of national statistical offices, international organizations and university researchers. Our goals are to preserve, harmonize, and disseminate confidentialized census data and documentation to qualified researchers and educators world-wide, free of charge. With the June 2015 data release, the database will deliver data from 82 countries and 277 census samples with over 610 million person records available. Included in these totals, are micro-data samples from the 2010-round of census taking for 41 countries. The datasets are also available for classroom use, with an option for instructors to register their class. Students then use the class code when applying for access to the data. The IPUMS-International project is housed at the Minnesota Population Center, University of Minnesota, USA. More information about IPUMS-International