During his MSc study, Wietse worked on a soil mapping project in southern Colombia. His thesis was part of a larger project led by CIAT and partners aimed at evaluating land use types in terms of their soil quality and climate change mitigation potential. Active and total carbon were measured with a view to map SOC for the whole study area. The soil chemical part of his research was supervised by Mirjam Pulleman (Soil Biology and Biological Soil Quality) and Gerard Heuvelink supervised the digital soil mapping. 

Tom is a Dutch MSc student Geo-information Science (MGI) at Wageningen University. While studying International Tourism Management (BA), he was introduced to GIS and statistics. His fascination for both subjects combined with an interest in mapping led him to study MGI and ultimately fall in love with geostatistics. Currently, Tom works on a critical evaluation and improvement of cross-validation strategies for accuracy assessment of digital soil maps at ISRIC. The research is supervised by Gerard Heuvelink, Laura Poggio and Sytze de Bruin. Besides his activities at ISRIC, Tom works as a 'Geo-ICTer' at Tijhuis Ingenieurs, specialised in soil and water advisory services.

At the time, Rik was a Dutch MSc student at Wageningen University with a BSc in Soil, Water, Atmosphere and an MA in Landscape History. Rik worked on a space-time convolutional neural network for the digital soil mapping of soil organic carbon content and subsequently tested this methodology for Argentina. By bringing the spatial context of a point into the modelling stage, this machine learning technique can help to more accurately model and thus understand trends in SOC. The research was supervised by Gerard Heuvelink and Laura Poggio.

Olaf is a graduate from Wageningen University in International Land and Water Management. During his internship at ISRIC, he contributed to the ISQAPER project; he was involved in a meta-analysis of the effects of agricultural practices on key soil quality indicators in major pedo-climatic zones across Europe and China. Olaf was supervised by Zhanguo Bai and Thomas Caspari.

Merel Jager is a MSc student of Wageningen University. Her master thesis research was to study the influence of local data and local calibration on SoilGrids predictions, using case studies in India, Mozambique and the Netherlands. Merel worked on the Soilgrids project under supervision of Bas Kempen, Gerard Heuvelink and Sytze de Bruin (Laboratory of Geo-Information Science and Remote Sensing).

Anna Christien (Lisanne) Schoneveld is a Dutch MSc student of Wageningen University. Her master thesis research is to study the effect of synthetic profiles on SoilGrids. She analyses which parts of the world are under-represented in the feature and geographical space in the SoilGrids calibration dataset and which effect incorporating synthetic profiles has on the SoilGrids prediction maps. She also investigates how synthetic profiles can be generated using expert elicitation.

Kees, a Dutch MSc student of Wageningen University, worked on the evaluation of methods for uncertainty quantification in Digital Soil Mapping (DSM) with special attention for Machine Learning, and the challenge of quantifying the uncertainties in DSM interpolations. His work was supervised by Gerard Heuvelink.

Iolanda sought assistance from ISRIC to help her with the development of the 'Irish soil attribute maps' for selected soil properties. She applied pedometric techniques to the Irish SIS data to develop the soil attribute maps. Further, she contributed 200 profiles from the Irish SIS to the SoilGrids effort, for  validation purposes. Yolanda was supervised by Gerard Heuvelink, Bas Kempen and Tom Hengl.

Chloé is a French MSc Geo-information Sciences (MGI) student at Wageningen University. She holds an Agriculture Engineering degree from UniLaSalle. Chloé’s MSc thesis addresses how to account measurement uncertainties in model validation, and compares the effects of either ignoring or acknowledging measurement errors in the fitting of random forest digital soil mapping models. The research is supervised by Sytze de Bruin, Gerard Heuvelink, and Stephan van der Westhuizen.

Charl worked on developing/applying a method that considers soil legacy maps as co-variates in Digital Soil Mapping with a view to assessing possible gains in accuracy of the predictions. He was supervised by Johan Leenaars, Gerard Heuvelink and Sytze de Bruin (WenR, WUR).