Prof. T. (Tobias) Brandt

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Tobias Brandt
Assistant Professor
Department for Information Systems
University of Münster

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Profile

Tobias Brandt is Professor of Digital Innovation and the Public Sector at the University of Münster, Germany and visting faculty in the Business Information Management section of the Department of Technology and Operations Management at Rotterdam School of Management, Erasmus University. He previously served as assistant professor at the department and is also a *high-performing member* of the Erasmus Research Institute of Management (ERIM).

Tobias' research investigates the digital transformation of businesses and cities. He particularly focuses on smart power systems, innovative urban mobility solutions, and an improved understanding of the dynamics of urban tourism and crime. Tobias' work has received best paper awards at both the International Conference on Information Systems and the Hawaii International Conference on System Sciences and he has published in leading journals at the interface of information and operations management, such as the Journal of Operations Management, the Journal of Management Information Systems, Transportation Science, Information & Management, and the European Journal of Information Systems. His research on urban mobility and spatial analytics has been supported by two Microsoft Azure for Research Awards and an IBM Faculty Award.

Tobias is teaching in the undergraduate, graduate and MBA programs of RSM. For his introductory course to Business Information Management, he received the SR Professor Award in 2019 and the RSM Innovative Teaching Award in 2020. Before joining RSM, Tobias received his PhD from the University of Freiburg, Germany, from which he also holds a diploma degree in economics. He has been a visiting scholar with Lawrence Berkeley National Laboratory on multiple occasions, as well as with the University of Texas at Austin. Tobias is also co-founder of the urban data science startup Geospin, in which he continues to be involved. During the course of his career, Tobias has been involved in data science projects with a variety of industry partners, including Siemens, Bosch, and ZF.

Publications

Academic (26)

  • Abdelwahed, A., van den Berg, P. L., Brandt, T., & Ketter, W. (2023). Balancing convenience and sustainability in public transport through dynamic transit bus networks. Transportation Research Part C: Emerging Technologies, 151, Article 104100. https://doi.org/10.1016/j.trc.2023.104100

  • Goby, N., Brandt, T., & Neumann, D. (2023). Deep reinforcement learning with combinatorial actions spaces: An application to prescriptive maintenance. Computers and Industrial Engineering, 179, Article 109165. https://doi.org/10.1016/j.cie.2023.109165

  • Bakker, M. K., groep, Kanning, J. P., Abraham, G., Martinsen, A. E., Winsvold, B. S., Zwart, J. A., Bourcier, R., Sawada, T., Koido, M., Kamatani, Y., Morel, S., Amouyel, P., Debette, S., Bijlenga, P., Berrandou, T., Ganesh, S. K., Bouatia-Naji, N., Jones, G., ... Kristoffersen, E. S. (2023). Genetic Risk Score for Intracranial Aneurysms: Prediction of Subarachnoid Hemorrhage and Role in Clinical Heterogeneity. Stroke, 54(3), 810-818. https://doi.org/10.1161/STROKEAHA.122.040715

  • Brandt, T., Dlugosch, O., Abdelwahed, A., van den Berg, P., & Neumann, D. (2021). Prescriptive Analytics in Urban Policing Operations. Manufacturing and Service Operations Management, Accepted. https://doi.org/10.1287/msom.2021.1022

  • Abdelwahed, A., van den Berg, PL., Brandt, T., Ketter, W., & Mulder, J. (2021). A boost for urban sustainability: optimizing electric transit bus networks in Rotterdam. Journal on Applied Analytics, 51(5), 391-407. https://doi.org/10.1287/inte.2021.1092

  • Gust, G., Brandt, T., Mashayekh, S., Heleno, M., DeForest, N., Stadler, M., & Neumann, D. (2021). Strategies for Microgrid Operation Under Real-World Conditions. European Journal of Operational Research, 292(1), 339-352. https://doi.org/10.1016/j.ejor.2020.10.041

  • Brandt, T., Wagner, S., & Neumann, D. (2021). Prescriptive Analytics in Public-Sector Decision-Making: A Framework and Insights from Charging Infrastructure Planning. European Journal of Operational Research, 291(1), 379-393. https://doi.org/10.1016/j.ejor.2020.09.034

  • Baumgarte, F., Brandt, T., Keller, R., Röhrich, F., & Schmidt, L. (2021). You'll never share alone: Analyzing carsharing user group behavior. Transportation Research. Part D, Transport and Environment, 93, Article 102754. https://doi.org/10.1016/j.trd.2021.102754

  • Brandt, T., & Dlugosch, O. (2021). Exploratory data science for discovery and ex-ante assessment of operational policies: Insights from vehicle sharing. Journal of Operations Management, 67(3), 307-328. https://doi.org/10.1002/joom.1125

  • Fretzen, U., Ansarin, M., & Brandt, T. (2021). Temporal city-scale matching of solar photovoltaic generation and electric vehicle charging. Applied Energy, 282, Article 116160. https://doi.org/10.1016/j.apenergy.2020.116160

  • Dlugosch, O., Brandt, T., & Neumann, D. (2020). Combining Analytics and Simulation Methods to Assess the Impact of Shared, Autonomous Electric Vehicles on Sustainable Urban Mobility. Information and Management, Article 103285. https://doi.org/10.1016/j.im.2020.103285

  • Abdelwahed, A., Berg, P., Brandt, T., Collins, J., & Ketter, W. (2020). Evaluating and Optimizing Opportunity Fast-Charging Schedules in Transit Battery Electric Bus Networks. Transportation Science, 54(6), 1601-1615. https://doi.org/10.1287/trsc.2020.0982

  • Brandt, T. (2018). Interview with David Prendergast on “Mediating Between Technology and People in Smart City Transformations”. Business & Information Systems Engineering, 60(3), 265-267. https://doi.org/10.1007/s12599-018-0531-7

  • Brandt, T., Ketter, W., Kolbe, LM., Neumann, D., & Watson, RT. (2018). Smart Cities and Digitized Urban Management. Business & Information Systems Engineering, 60(3), 193-195. https://doi.org/10.1007/s12599-018-0537-1

  • Klemmer, K., Brandt, T., & Jarvis, S. A. (2018). Isolating the Effect of Cycling on Local Business Environments in London. PLoS One (online), 13(12), e0209090. https://doi.org/10.1371/journal.pone.0209090

  • Brandt, T., Feuerriegel, S., & Neumann, D. (2018). Modeling Interferences in Information Systems Design for Cyberphysical Systems: Insights from a Smart Grid Application. European Journal of Information Systems, 27(2), 207-220. https://doi.org/10.1057/s41303-016-0030-1

  • Willing, C., Brandt, T., & Neumann, D. (2017). Electronic Mobility Market Platforms - A Review of the Current State and Applications of Business Analytics. Electronic Markets, 27(3), 267-282. https://doi.org/10.1007/s12525-017-0257-2

  • Brandt, T., Bendler, J., & Neumann, D. (2017). Social Media Analytics and Value Creation in Urban Smart Tourism Ecosystems. Information and Management, 54(6), 703-713. https://doi.org/10.1016/j.im.2017.01.004

  • Gust, G., Flath, C. M., Brandt, T., Ströhle, P., & Neumann, D. (2017). How a Traditional Company Seeded New Analytics Capabilities. MIS Quarterly Executive, 16(3), 215-230.

  • Willing, C., Klemmer, K., Brandt, T., & Neumann, D. (2017). Moving in Time and Space - Location Intelligence for Carsharing Decision Support. Decision Support Systems, 99, 75-85. https://doi.org/10.1016/j.dss.2017.05.005

  • Willing, C., Brandt, T., & Neumann, D. (2017). Intermodal Mobility. Business & Information Systems Engineering, 59(3), 173-179. https://doi.org/10.1007/s12599-017-0471-7

  • Brandt, T., Wagner, S., & Neumann, D. (2017). Evaluating a Business Model for Vehicle-Grid Integration: Evidence from Germany. Transportation Research. Part D, Transport and Environment, 50, 488-504. https://doi.org/10.1016/j.trd.2016.11.017

  • Wagner, S., Brandt, T., & Neumann, D. (2016). In Free Float: Developing Business Analytics Support for Carsharing Providers. Omega, 59(Part A), 4-14. https://doi.org/10.1016/j.omega.2015.02.011

  • Lang, F., Fink, A., & Brandt, T. (2016). Design of automated negotiation mechanisms for decentralized heterogeneous machine scheduling. European Journal of Operational Research, 248(1), 192-203. https://doi.org/10.1016/j.ejor.2015.06.058

  • Brandt, T., & Neumann, D. (2015). Chasing Lemmings: Modelling IT-induced Misperceptions about the Strategic Situation as a Reason for Flash Crashes. Journal of Management Information Systems, 31(4), 88-108. https://doi.org/10.1080/07421222.2014.1001258

  • Bendler, J., Wagner, S., Brandt, T., & Neumann, D. (2014). Taming Uncertainty in Big Data - Evidence from Social Media in Urban Areas. Business & Information Systems Engineering, 6(5), 279-288. https://doi.org/10.1007/s12599-014-0342-4

Professional (1)

  • Goby, N., Brandt, T., & Neumann, D. (2018). How a German Manufacturing Company Set Up Its Analytics Lab. Harvard Business Review. http://hdl.handle.net/1765/111624

Professional (1)

  • Goby, N., Brandt, T., & Neumann, D. (2020). How a German Manufacturing Company Set Up Its Analytics Lab. In Harvard Business Review, E. Siegel, E. L. Glaeser, C. Kozyrkov, & T. H. Davenport (Eds.), Strategic Analytics (pp. 61-71). Harvard Business Review Press.

Academic (26)

  • Bagheri, S., Brandt, T., Sheombar, H., & Oosterhout, M. (2021). Value creation through urban data platform: A Conceptual Framework. In Proceedings of the 54th Hawaii International Conference on System Sciences (pp. 2464-2473)

  • Bagheri, S., Brandt, T., Sheombar, H., & van Oosterhout, M. (2021). Value creation through urban data platforms: A conceptual framework. In T. X. Bui (Ed.), Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021 (pp. 2464-2473). Leiden-Delft-Erasmus Centre for BOLD Cities.

  • Abdelwahed, A., van den Berg, P. L., & Brandt, T. (2019). Enabling sustainable public transport in smart cities through real-time decision support. In 40th International Conference on Information Systems, ICIS 2019 Article 2682 Association for Information Systems. http://hdl.handle.net/1765/123230

  • Bendler, J., Brandt, T., & Neumann, D. (2016). An Open Door May Tempt a Saint - Data Analytics for Spatial Criminology. In ECIS 2016 Proceedings (pp. 98). Association for Information Systems (AIS). https://doi.org/10.13140/RG.2.1.3868.9689

  • Willing, C., Brandt, T., & Neumann, D. (2016). Sharing is Caring - Understanding the Relationship Between the Sharing Economy and Sustainable Mobility. In ICIS 2016 Proceedings Association for Information Systems (AIS).

  • Willing, C., Gust, G., Brandt, T., Schmidt, S., & Neumann, D. (2016). Enhancing Municipal Analytics Capabilities to Enable Sustainable Urban Transportation. In ECIS 2016 Proceedings Association for Information Systems (AIS). https://doi.org/10.13140/RG.2.1.1509.6727

  • Brandt, T., Cudden, J., Ketter, W., Prendergast, D., Sakurai, M., & Watson, RT. (2016). Smart cities and the role of IS research in improving urban life. In ICIS 2016

  • Klemmer, K., Willing, C., Wagner, S., & Brandt, T. (2016). Explaining Spatio-Temporal Dynamics in Carsharing: A Case Study of Amsterdam. In AMCIS 2016 Proceedings Association for Information Systems (AIS). https://doi.org/10.13140/RG.2.1.3510.8721

  • Gust, G., Biener, W., Brandt, T., Dallmer-Zerbe, K., Neumann, D., & Wille-Haussmann, B. (2016). Decision Support for Distribution Grid Planning. In 2016 IEEE International Energy Conference (ENERGYCON) (pp. 1). IEEE. https://doi.org/10.1109/ENERGYCON.2016.7514135

  • Gust, G., Flath, C., Brandt, T., Ströhle, P., & Neumann, D. (2016). Bringing Analytics into Practice: Evidence from the Power Sector. In ICIS 2016 Proceedings (pp. 8). Association for Information Systems (AIS).

  • Goby, N., Brandt, T., Feuerriegel, S., & Neumann, D. (2016). Business Intelligence for Business Processes: The Case of IT Incident Management. In ECIS 2016 Proceedings Association for Information Systems (AIS). https://doi.org/10.13140/RG.2.1.2033.9604

  • Wagner, S., Brandt, T., & Neumann, D. (2015). Data Analytics in Free-Floating Carsharing: Evidence from the City of Berlin. In Proceedings of the 48th Hawaii International Conference on System Sciences IEEE. https://doi.org/10.1109/HICSS.2015.112

  • Wagner, S., Willing, C., Brandt, T., & Neumann, D. (2015). Data Analytics for Location-Based Services: Enabling User-Based Relocation of Carsharing Vehicles. In ICIS 2015 Proceedings Association for Information Systems (AIS). https://doi.org/10.13140/RG.2.1.1595.6966

  • Wagner, S., Brandt, T., Kleinknecht, M., & Neumann, D. (2014). In Free-Float: How Decision Analytics Paves the Way for the Carsharing Revolution. In ICIS 2014 Proceedings Association for Information Systems (AIS). https://doi.org/10.13140/RG.2.1.2420.4645

  • DeForest, N., Stadler, M., Cardoso, G., Brandt, T., & Narayanan, S. (2014). Enabling broad adoption of distributed PV-storage systems via supervisory planning and control. In ACEEE Summer Study on Energy Efficiency in Buildings The American Council for an Energy-Efficient Economy (ACEEE).

  • Brandt, T., & Neumann, D. (2014). When Common Knowledge Becomes Common Doubt -?? Modeling IT-Induced Ambiguities about the Strategic Situation as Reasons for Flash Crashes. In Proceedings of the 47th Hawaii International Conference on System Sciences IEEE. https://doi.org/10.1109/HICSS.2014.155

  • Brandt, T., DeForest, N., Stadler, M., & Neumann, D. (2014). Power Systems 2.0: Designing an Energy Information System for Microgrid Operation. In ICIS 2014 Proceedings (pp. 1-18). Association for Information Systems (AIS).

  • Wagner, S., Brandt, T., & Neumann, D. (2014). Smart City Planning – Developing an Urban Charging Infrastructure for Electric Vehicles. In ECIS 2014 Proceedings Association for Information Systems (AIS).

  • Bendler, J., Brandt, T., Wagner, S., & Neumann, D. (2014). Investigating Crime-to-Twitter Relationships in Urban Environments – Facilitating a Virtual Neighborhood Watch. In Proceedings of the European COnference on Information Systems (ECIS) (pp. 1110). Association for Information Systems (AIS).

  • Brandt, T., Feuerriegel, S., & Neumann, D. (2013). Shaping a Sustainable Society: How Information Systems Utilize Hidden Synergies between Green Technologies. In ICIS 2013 Proceedings Association for Information Systems (AIS). https://doi.org/10.13140/RG.2.1.1896.176

  • Wagner, S., Brandt, T., & Neumann, D. (2013). Beyond Mobility - An Energy Informatics Business Model for Vehicles in the Electric Age. In ECIS 2013 Proceedings Association for Information Systems (AIS).

  • Brandt, T. (2013). Information Systems in Automobiles – Past, Present, and Future Uses. In AMCIS 2013 Proceedings Association for Information Systems (AIS). https://doi.org/10.13140/RG.2.1.3337.9688

  • Busse, S., El Khatib, V., Brandt, T., Kranz, J., & Kolbe, LM. (2013). Understanding the Role of Culture in Eco-Innovation Adoption – An Empirical Cross-Country Comparison. In ICIS 2013 Proceedings Association for Information Systems (AIS). https://doi.org/10.13140/RG.2.1.3993.3280

  • Brandt, T., Tian, Y., Hedwig, M., & Neumann, D. (2012). Autonomic Management of Software as a Service Systems with Multiple Quality of Service Classes. In ECIS 2012 Proceedings Association for Information Systems (AIS). https://doi.org/10.13140/RG.2.1.3600.1124

  • Brandt, T., Wagner, S., & Neumann, D. (2012). Road to 2020: IS-Supported Business Models for Electric Mobility and Electrical Energy Markets. In ICIS 2012 Proceedings Association for Information Systems (AIS). https://doi.org/10.13140/RG.2.1.3862.2565

  • Brandt, T., & Bodenstein, C. (2012). Evaluating Scheduling Methods for Energy Cost Reduction in a Heterogeneous Data Center Environment. In ECIS 2012 Proceedings Association for Information Systems (AIS). https://doi.org/10.13140/RG.2.1.1502.9604

External (1)

  • Brandt, T. (2015). IT Solutions for the Smart Grid: Theory, Application, and Economic Assessment. [Doctoral Thesis, Albert-Ludwigs-Universität Freiburg]. Albert-Ludwigs-Universität Freiburg. https://doi.org/10.1007/978-3-658-12415-1

Professional (1)

  • Wisse, K., Huijbregts, Z., Abdalla, G., Horsten, D., Mariniak, J., & Brandt, T. (2018). Energierekening bewaken: algoritmes of simulatiemodellen? (tvvl magazine 5 ed.) TVVL. http://hdl.handle.net/1765/110751

Courses

BIM Master Thesis

  • Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020, 2018/2019
  • Code: BMMTBIM
  • Level: Master

Past courses

Business Information Management

  • Study year: 2021/2022, 2020/2021, 2019/2020, 2018/2019, 2017/2018, 2016/2017
  • Code: BAD14
  • Level: Bachelor 3, Pre-master

Business Information Management

  • Study year: 2021/2022, 2020/2021
  • Code: BT1213
  • Level: Bachelor 1, Bachelor 3, Pre-master

Informatiemanagement

  • Study year: 2021/2022, 2020/2021
  • Code: BK1213
  • Level: Bachelor 1, Pre-master

Informatiemanagement

  • Study year: 2021/2022, 2020/2021, 2019/2020, 2018/2019, 2017/2018, 2016/2017
  • Code: BKB0017
  • Level: Bachelor 3, Pre-master

BIM Thesis Clinic

  • Study year: 2020/2021
  • Code: BMRM1BIM
  • ECTS: 2 Level: Master

BIM Research Methods I - Old style

  • Study year: 2019/2020, 2018/2019
  • Code: BM05BIM
  • ECTS: 2

Business Information Management

  • Study year: 2019/2020
  • Code: BT1113
  • Level: Bachelor 1, Bachelor 3, Pre-master

Informatiemanagement

  • Study year: 2019/2020
  • Code: BK1113
  • Level: Bachelor 1, Pre-master

Location-based Services and Spatial Analytics

  • Study year: 2016/2017
  • Code: BMME108
  • ECTS: 6 Level: Master

Featured in the news

Featured in the media

  • ‘Door de geboorte van mijn dochter, had thuiswerken ook voordelen’

    Since last year, lecturers have taught most of their classes seated in front of a monitor. They miss talking to their students and having a quick chat with their colleagues. In this series of interviews, lecturers tell us how they…

    Erasmus Magazine Monday, 26 April 2021
  • Masterstudenten presenteren scripties voor Europees Smart City-project

    Masters students from RSM have researched innovative, smart and sustainable city developments for Rotterdam in the European Smart City project RUGGEDISED®. The Erasmus Centre for Future Energy Business leads the extensive…

    Verkeerskunde Tuesday, 19 September 2017
  • Ontdek nieuwe toeristische hotspots door analyse van twitterbestanden

    Holidaymakers often leave a trail of information behind on social media. Many of the attractions and sights are already on the radar of tourist organisations. However, there are also places that tourists discover, find and share…

    Pretwerk.nl Tuesday, 22 August 2017
  • [Onderzoek] Openbare tweetdata: analyse big data Twitter biedt kansen voor toerisme

    Twitter is a source of information. By combining tweets intelligently, it is possible to discover how large groups of tourists make use of a city and where the emerging tourist hotspots are. This discovery was made by RSM's Tobias…

    Nieuws Social Monday, 21 August 2017
  • Big data-analyse van tweets onthult kansen voor toerisme

    By combining the information in tweets, you can design emerging tourist hotspots says RSM's Tobias Brandt after analysing 600,000 tweets sent in San Francisco.

    Emerce Monday, 21 August 2017
  • Big data-analyse van tweets onthult kansen voor toerisme

    By combining the information available in tweets, it is possible to see the emerging tourist hotspots of a city, says Tobias Brandt of RSM after analysing 600,000 tweets sent in San Francisco. 

    News Junky Monday, 21 August 2017
  • Big data-analyse van tweets onthult kansen voor toerisme

    By combining the information available in tweets, one can see emerging tourist hotspots according to Tobias Brandt of RSM. This conclusion was reached after conducting an analysis of 600,000 tweets sent in San Francisco. …

    Mediafeed.gertimmer.nl Monday, 21 August 2017
  • Big data-analyse van tweets kan kansen voor toerisme onthullen

    By combining the information available in tweets, it is possible to make clear how large groups of visitors are using a city and where the emerging tourist hotspots are. This discovery was made by RSM's Tobias Brandt after…

    Erasmus University Rotterdam Friday, 18 August 2017
  • Twitteraars onthullen ondernemerskansen in toerisme

    Twitter can be a valuable source of information for entrepreneurs in the tourism industry. "By combining information in tweets, you can establish how large groups of visitors are using a city and where the emerging tourist…

    Nu.nl Thursday, 17 August 2017
  • Analyse big data Twitter biedt kansen voor toerisme

    By combining tweets intelligently, it is possible to analyse how large groups of visitors use a city and where the emerging tourist hotspots are. This discovery was made by Tobias Brandt of RSM after analysing 600,000 tweets sent…

    Nederlands Media Nieuws Thursday, 17 August 2017
  • Analyse big data Twitter biedt kansen voor toerisme

    By combining tweets intelligently, it is possible to see how large groups of tourists are making use of a city and where the emerging tourist hotspots are. So says Tobias Brandt of RSM after analysing 600,000 tweets sent in San…

    Communicatienieuws Thursday, 17 August 2017
  • Big data-analyse van tweets kan kansen voor toerisme onthullen

    By combining the information made available in tweets, it is possible to discover how big groups of visitors are using a city and where the upcoming tourist hotspots are located. This discovery was made by Tobias Brandt of RSM…

    MarketingTribune.nl Thursday, 17 August 2017
  • Big data-analyse van tweets onthult kansen voor toerisme

    One can combine the information available in tweets in order to establish how large groups of tourists use a city and where the tourist hotspots are. So says Tobias Brandt in a new study, which involved analysing 600,000 tweets…

    Marketingfuel Thursday, 17 August 2017
  • Twitter Wijst Onverwachte Toeristische Hotspots Aan

    By analysing tweets, the unexpected tourist hotspots of a city can be uncovered. Such places tend to be untouched, but have potential. This analysis has been done by researchers from Erasmus University - first in San Francisco,…

    BNR Radio Wednesday, 16 August 2017

Featured on RSM Discovery

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Digitally managed cities of the future – how close are we?

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Schlossplatz 2
48149 Münster
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