Erik is co-founder of Flowminder, a non-profit initiative started together with academics at Karolinska Institute and University of Southampton engaged in applied data science using mobile and satellite data to achieve radical improvements in disaster response and development. In 2016, Flowminder joined Harvard Humanitarian Initiative and MIT Media Lab to become a core member of the DataPop Alliance.
Through this work, he has been involved in the development and management of applied data science and analytics projects with major mobile operators and UN agencies in e.g. Bangladesh, Nepal, and additional projects underway in sub-Saharan Africa and Asia. He is a Steering Board member of the World Economic Forum Data-Driven Development initiative.
From 2009-2017 Erik was first advising and later leading SSE Business Lab, the school´s business incubator/accelerator that has helped start and grow more than 100 companies started by SSE students and alumni. SSE Business Lab alumni companies have over 2,100 staff and in excess of MEUR 350 in aggregated turnover ytd.
He has been a visiting professor at ESSEC Business School in Paris, and also at SciencesPo/Paris School of International Affairs (PSIA) where he helped initiate and launch the SSE-SciencesPo Double Degree Framework. During 2007-2011 he was affiliated with the Swedish National Defense College for work on best practices and international method development for data collection and analytics in fragile and conflict affected states (FCAS).
Bosco, C., Alegana, V., Bird, T., Pezzulo, C., Bengtsson, L., Sorichetta, A., Steele, J., Hornby, G., Ruktanonchai, C., Ruktanonchai, N., Wetter, E. & Tatem, A. (2017) Exploring the high-resolution mapping of gender-disaggregated development indicators, Journal of the Royal Society Interface
, Vol. 14(129).
Steele, J., Sundsøy, P., Pezzulo, C., Alegana, V., Bird, T., Blumenstock, J., Bjelland, J., Engø-Monsen, K., de Montjoye, Y., Iqbal, A., Hadiuzzaman, K., Lu, X., Wetter, E., Tatem, A. & Bengtsson, L. (2017) Mapping poverty using mobile phone and satellite data, Journal of Royal Society Interface, Vol. 14(127).
Ruktanonchai, N., Bhavnani, D., Sorichetta, A., Bengtsson, L., Carter, K., Córdoba, R., Le Menach, A., Lu, X., Wetter, E., zu Erbach-Schoenberg, E. & Tatem, A. (2016) Census-derived migration data as a tool for informing malaria elimination policy, Malaria Journal, 15:273
With Schweinsberg, M., et al. (2016) The Pipeline Project: Pre-publication Independent Replications of a Single Laboratory's Research Pipeline, Journal of Experimental Social Psychology, Vol. 66.
Lu, X., Wrathall, D., Sundsoy, P., Nadiruzzaman, N., Wetter, E., Iqbal, A., Qureshi, T., Tatem, A., Canright, G., Engo-Monsen, K. & Bengtsson, L. (2016) Unveiling Hidden Migration and Mobility Patterns in Climate Stressed Regions: A Longitudinal Study of Six Million Anonymous Mobile Phone Users in Bangladesh, Global Environmental Change, Vol. 38 (May), pp. 1-7.
Wilson, R., zu Erbach-Schoenberg, E., Albert, M., Power, D., Tudge, S., Gonzalez, M., Guthrie, S., Chamberlain, H., Brooks, C., Hughes, C., Pitonakova, L., Buckee, C., Lu, X., Wetter, E., Tatem, A. & Bengtsson, L. (2016) Rapid and Near Real-time Assessments of Population Displacement Using Mobile Phone Data Following Disasters: The 2015 Nepal Earthquake, PLoS Currents Disasters, February 24, Edition 1.
Bengtsson, L., Gaudart, J., Lu, X., Moore, S., Wetter, E., Sallah, K., Rebaudet, S. & Piarroux, R. (2015) Using Mobile Phone Data to Predict the Spatial Spread of Cholera, Nature: Scientific Reports, 5(8923).