Hadith scholars use two complementary approaches to evaluate a given hadith: (1) analyzing the chain of transmission using biographical information about individual hadith transmitters, and (2) comparing the wording for a hadith with a given chain of transmission with those provided through alternative chains. Recent development in data sciences can potentially contribute to both approaches. In 2017-2018, IBA faculty with backgrounds in computer science, mathematics, law and finance collaborated on a project for the "Graph Analysis of Hadith Transmission Data". This involved collection and analysis of information on the chains of transmission for 65,513 ahadith contained in 8 hadith collections from the 2nd and 3rd centuries AH. In addition, cross-reference data was collected from a range of sources to facilitate the grouping of chains of transmission with alternative wordings for a given hadith. Besides a number of research papers for submission to international journals, the project will make available an open source dataset which will spur future research and collaboration in this field.
This study is primarily about measuring the spirituality, well-being and consumption levels of people who study, think and contemplate upon the Quran. Past research studies have found people who regularly pondered over the meaning and the worldview of the Quran to be far more spiritual and mindful. Such individuals are far less immersed into the hedonistic culture, have higher respect for the environment and are more cognizant of taking care of it. These people report higher degrees of well-being. In this project we are trying to find through surveys of young individuals whether Muslims who have strong connection to the Quran, and who regularly read/recite the Quran with a high level of understanding of its' themes and subjects, and spend a good amount of time contemplating on the practical implementation of those themes in their lives, fare better than those who either do not have any engagement with the Quran or do not have any meaningful engagement with the Quran (that is they merely recite the verses without understanding their meanings and explanations and not being able to ponder and reflect on the verses). The assumption is that those Muslims who have a reflective relationship with the Quran and constantly undergo spiritual struggle in their lives, their consumption ought to be more thoughtful and therefore their consumption levels less than the societal average. The survey evaluates spiritual struggle, gratitude, environmental consciousness and activism, life satisfaction, hedonistic values to see their connection with the consumption level of the participants.
The purpose of this research grant is to access data on student's enrolled at IBA for research purposes. With a team that includes Dr. Jackie Wahba and Dr. Thomas Gall in UK, we are currently in the process of finalizing a paper titled 'Impact of Conflict on Degree Choices: Evidence from Pakistan'. The data for this paper was obtained from IBA, and included information on admissions scores of all those students who applied to IBA for an admission between 2013-16. Using the test score, choice of degree, and limited background information on students, I was able to provide robust evidence that students who resided in violence-prone areas were less likely to apply to degrees that required mathematics as a pre-requisite, compared to students who lived in violence-free areas. The results were robust in treating exposure to violence at different stages of schooling.
We would now like to extend this research into a multi-disciplinary, and a multi-facted project whereby we can map students admission performance to their performance throughout university life, and also link it to the job prospects once they graduate. Since IBA does have data on all its students for atleast the past seven years, and also keeps a track of labour market prospects of students uptill one year after graduation, I have requested for the release of such data for purely academic purposes.
The joint input-output behavior of two entangled but possibly separated quantum systems is nonlocal if it is not explainable by shared information. The existence of such behavior is predicted by quantum theory, as observed by John Bell in a late reply to a claim of Einstein, Podolsky and Rosen to embed quantum theory into a larger theory with stronger predictive power due to hidden variables determining the outcomes of quantum measurements. Applications of nonlocality range from developing secure communication protocols to resolving paradoxes at the cosmological scale related to black holes.
We work towards identifying the optimal classical communication structure for simulating nonlocal correlations between multiple parties. Our current research focuses on non-adaptive strategies for different classes of nonlocality and how well can n-1 parties simulate a bigger nonlocal correlation between n parties. The incremental exploration of multipartite nonlocal space has the end goal to obtain a better understanding of fundamental physical principles that limit strength of quantum correlations.
IBA is known for bringing ideas for tomorrow, to main the tradition IBA has established Neuro-Marketing Laboratory. The Neuro-Marketing Lab is state of the art facility that takes research to its next level. The laboratory will help to increase academic research output of international caliber. Such research is useful as it guides marketers to make more informed decision. Huge investments are poured into production and campaigning of TV commercials, but to assess the effectiveness of such investments, has been a challenge. For example, the isolation of celebrity effect on a brand, is very difficult to delineate.
IBA-Neuro-Marketing laboratory offers a solution that is relatively objective in nature and delves into consumers' subconscious response. Neither experienced professional nor intuitive decision can match the results obtained from the laboratory. The effects of an advertisement are analyzed in the laboratory in three real time measures. These include:
1. Eye tracking,
2. Skin response (Emotional arousal) and
3. Facial response (Emotion direction).
For Eye tracking Tobii Eye tracker is used, for Skin Response Shimmer (Galvanic skin response) is used and for facial response Affectiva (a machine learning software) is used. The use of this technology provides a unique opportunity to collect observable data such as heat-maps, attention span and level of emotional engagement. In addition to the assessment of advertising effectiveness the facility is suitable for other research avenues such as, Web design, online buying, package design, software usability and etc.