Saadi Lahlou

Prof. Dr. Saadi Lahlou

London School of Economics and Paris Institute for Advanced Study

Research Focus & Metrics

Academic Career Length

36Years (1991-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2008 in Journal of Cleaner Production
Verified
Journal Article
Closed access
ATArnold Tukker
Arnold Tukker
SESophie Emmert
Sophie Emmert
MCMartin Charter
Martin Charter
CVCarlo Vezzoli
Carlo Vezzoli
ESEivind Sto
Eivind Sto
Saadi LahlouSaadi Lahlou
Saadi Lahlou

21 October 2019 in Sustainability
Verified
Journal Article
Open access
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PYPaulius Yamin
Paulius Yamin
MFMaria Fei
Maria Fei
Saadi LahlouSaadi Lahlou
Saadi Lahlou
SLSara Levy
Sara Levy
Behavioral change interventions based on social norms have proven to be a popular and cost-effective way in which both researchers and practitioners attempt to transform behavior in order to increase environmental and social sustainability in real-world contexts. In this paper, we present a systematic review of over 90 empirical studies that have applied behavioral change interventions based on social norms in field settings. Building on previous research about the sources of information that people use to understand social norms and other local determinants of behavior, we propose a framework organized along two axes that describe intervention context (situated interventions applied in the same context where the target behavior happens versus remote interventions that are applied away from that context) and type of normative information leveraged (interventions that provide summary information about a group versus interventions that expose participants to the opinions and behaviors of others). We also illustrate successful applications for each dimension, as well as the social, psychological and physical determinants of behavior that were leveraged to support change. Finally, based on our results, we discuss some of the elements and practical mechanisms that can be used by both researchers and practitioners to design more integral, effective and sustainable social norm intervention in the real world.

31 August 2011 in Social Science Information
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Journal Article
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Saadi LahlouSaadi Lahlou
Saadi Lahlou
This paper addresses the methodological gap that impedes the collection of empirical data on subjective experience. It describes a new family of methods for social science research (Subjective Evidence-Based Ethnography: SEBE). The methods are based on: first-person audio-visual recording with a miniature video-camera worn at eye-level (‘subcam’); confronting subjects with these first-person recordings to collect their subjective experience; formulating the findings and discussing the final interpretation with the subjects. These procedures enable subjects to reconstruct and describe their psychological state at the moment of action, especially their goals, by reviewing films of their own activity recorded from their own perspective with subcams. These films provide situated records of actual activity in natural environments, without the need of an external observer. This approach, by providing both detailed records of actual activity and evidence-based accounts of the subject’s own mental processes, supports grounded progress in ethnography, psychology, ergonomics, sociology and the social sciences in general. There are also applications for training and cross-cultural contacts. The techniques are described in sufficient detail for the reader to make use of them. Examples of applications are provided and limitations are discussed.

31 October 2017 in Advances in Simulation
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Journal Article
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PDPeter Dieckmann
Peter Dieckmann
MPMary Patterson
Mary Patterson
Saadi LahlouSaadi Lahlou
Saadi Lahlou
JMJessica Mesman
Jessica Mesman
PNPatrik Nyström
Patrik Nyström
RKRalf Krage
Ralf Krage
Simulation is traditionally used to reduce errors and their negative consequences. But according to modern safety theories, this focus overlooks the learning potential of the positive performance, which is much more common than errors. Therefore, a supplementary approach to simulation is needed to unfold its full potential. In our commentary, we describe the learning from success (LFS) approach to simulation and debriefing. Drawing on several theoretical frameworks, we suggest supplementing the widespread deficit-oriented, corrective approach to simulation with an approach that focusses on systematically understanding how good performance is produced in frequent (mundane) simulation scenarios. We advocate to investigate and optimize human activity based on the connected layers of any setting: the embodied competences of the healthcare professionals, the social and organizational rules that guide their actions, and the material aspects of the setting. We discuss implications of these theoretical perspectives for the design and conduct of simulation scenarios, post-simulation debriefings, and faculty development programs.

1 September 2008 in Social Science Information
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Journal Article
Closed access
Saadi LahlouSaadi Lahlou
Saadi Lahlou
Digitization of society raises concerns about privacy. This article first describes privacy threats of life-logging. It gives the technically novice reader a quick overview of what information and communication technology (ICT) is currently preparing for society, based on state-of-the art research in the industry laboratories: ubiquitous computing, aware environments, the Internet of Things, and so on. We explain how geolocation systems work and how they can provide detailed accounts of personal activity that will deeply affect privacy. At present, system designers rarely implement privacy-enhancing technologies — we explain why, based on empirical research. On the other hand, users, while expressing concern, do not protect themselves in practice — we list reasons for this. The problem is complex because the very nature of identity and social relations works against protecting personal data; this is the privacy dilemma. At least two key mechanisms in the production of good interaction and in the construction of social status are based on personal data disclosure. Then we discuss the nature of privacy, based on field observation. Privacy loss can be seen as `losing face'. We detail this notion, based on a discussion of the notion of face, and especially the Asian social construct of `Chemyon'. We then propose a new, positive, definition of privacy as `keeping face'. This positive notion can be used to build constructive guidelines for enhancing privacy in systems design, compatible with the way designers perceive their role. These guidelines are presented in an annex, after a short conclusion that advocates a constructive — perhaps risky — role for social science in the construction of future information and communication technology. 1

1 March 2005 in Communications of the ACM
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Journal Article
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Saadi LahlouSaadi Lahlou
Saadi Lahlou
MLMarc Langheinrich
Marc Langheinrich
CRCarsten Röcker
Carsten Röcker
A set of designer guidelines from the European Union offers the first step in building privacy-aware systems.