Presentation given as part of a panel on "Innovative Applications of AI & Data Science" on Tuesday, May 28, 2019, as part of the ITU AI for Good Global Summit. See https://ingmarweber.de/publications/ for additional details about the work.
Using Advertising Platforms for Social GoodIngmar Weber
Presentation given as part of RMIT's Data Analytics of Social Impact event on December 1. More details about the work at https://ingmarweber.de/publications/. The work presented is led by the Qatar Computing Research Institute but involves many other collaborators and stakeholders.
Tapping into advertising platforms to monitor ict usage and moreIngmar Weber
Examples for how to use publicly available, aggregate and anonymous data from online advertising platforms to monitor (i) digital gender gaps, (ii) international migration, and (iii) income inequalities. Details at https://ingmarweber.de/publications/. Joint work with Ridhi Kashyap, Masoomali Fatehkia, Joao Palotti, Emilio Zagheni and others.
Monitoring migration using social media data an introductionIngmar Weber
Webinar hosted by Georgetown Global Human Development Program. Recording of the session is available at https://georgetown.zoom.us/rec/play/vMElIrir-mg3HYWWtwSDVP4rW461Jqis2iAZ8qUEyErnBiQGNFqlb7tEM-ofDv5GgHLYljjfYoBR0852?continueMode=true&_x_zm_rtaid=8UtYz48MSICS36P_gsSTDg.1588250263912.a1e6098b19d99104d94a3a1063c22f70&_x_zm_rhtaid=503
Original eventbrite at https://www.eventbrite.com/e/monitoring-migration-using-social-media-data-an-introduction-tickets-102687830064
Digital Gender Gaps Seen Through Social MediaIngmar Weber
Keynote given on September 25 at the 5th Annual International Conference on Data Science and Business Analytics (ICDSBA2021, http://www.icdsbaconference.com/2021/menu/keynotes). Based on joint work with Ridhi Kashyap (University of Oxford), Masoomali Fatehkia (Qatar Computing Research Institute), and others. Includes preliminary observations from changes in Afghanistan since the Taliban take-over. Details about published work at https://ingmarweber.de/publications/.
Presentation given during panel on "Closing inequalities and gender divides" at UNESCO Mobile Learning Week on March 28. Program at https://en.unesco.org/sites/default/files/unesco-mlw2018-programme-en.pdf#page=11. References at https://ingmarweber.de/publications/. Coming soon: http://www.digitalgendergaps.org/. Joint work with Ridhi Kashyap and Masoomali Fatehkia.
Hate Speech, Polarization and Online DataIngmar Weber
Slides for keynote talk at workshop on hate speech detection and genocide/politicide prediction organized by Ben Goldsmith (https://researchers.anu.edu.au/researchers/goldsmith-b) and Marian-Andrei Rizoiu (https://cecs.anu.edu.au/people/marian-andrei-rizoiu) at the Australian National University (ANU) on November 26/27, 2018.
Using Advertising Platforms for Social GoodIngmar Weber
Presentation given as part of RMIT's Data Analytics of Social Impact event on December 1. More details about the work at https://ingmarweber.de/publications/. The work presented is led by the Qatar Computing Research Institute but involves many other collaborators and stakeholders.
Tapping into advertising platforms to monitor ict usage and moreIngmar Weber
Examples for how to use publicly available, aggregate and anonymous data from online advertising platforms to monitor (i) digital gender gaps, (ii) international migration, and (iii) income inequalities. Details at https://ingmarweber.de/publications/. Joint work with Ridhi Kashyap, Masoomali Fatehkia, Joao Palotti, Emilio Zagheni and others.
Monitoring migration using social media data an introductionIngmar Weber
Webinar hosted by Georgetown Global Human Development Program. Recording of the session is available at https://georgetown.zoom.us/rec/play/vMElIrir-mg3HYWWtwSDVP4rW461Jqis2iAZ8qUEyErnBiQGNFqlb7tEM-ofDv5GgHLYljjfYoBR0852?continueMode=true&_x_zm_rtaid=8UtYz48MSICS36P_gsSTDg.1588250263912.a1e6098b19d99104d94a3a1063c22f70&_x_zm_rhtaid=503
Original eventbrite at https://www.eventbrite.com/e/monitoring-migration-using-social-media-data-an-introduction-tickets-102687830064
Digital Gender Gaps Seen Through Social MediaIngmar Weber
Keynote given on September 25 at the 5th Annual International Conference on Data Science and Business Analytics (ICDSBA2021, http://www.icdsbaconference.com/2021/menu/keynotes). Based on joint work with Ridhi Kashyap (University of Oxford), Masoomali Fatehkia (Qatar Computing Research Institute), and others. Includes preliminary observations from changes in Afghanistan since the Taliban take-over. Details about published work at https://ingmarweber.de/publications/.
Presentation given during panel on "Closing inequalities and gender divides" at UNESCO Mobile Learning Week on March 28. Program at https://en.unesco.org/sites/default/files/unesco-mlw2018-programme-en.pdf#page=11. References at https://ingmarweber.de/publications/. Coming soon: http://www.digitalgendergaps.org/. Joint work with Ridhi Kashyap and Masoomali Fatehkia.
Hate Speech, Polarization and Online DataIngmar Weber
Slides for keynote talk at workshop on hate speech detection and genocide/politicide prediction organized by Ben Goldsmith (https://researchers.anu.edu.au/researchers/goldsmith-b) and Marian-Andrei Rizoiu (https://cecs.anu.edu.au/people/marian-andrei-rizoiu) at the Australian National University (ANU) on November 26/27, 2018.
Slides for presentation given at Immigration, Refugees and Citizenship Canada (IRCC) in Ottawa as part of the "Research Matters" series on Sep 25. Joint work with Emilio Zagheni, Kiran Garimella, Joao Palotti and others. See https://ingmarweber.de/publications/ for publications and citation information. The trip to Ottawa is supported in part by ACM's Distinguished Speakers Program (https://speakers.acm.org/speakers/weber_7123).
Data on Polarization, Peace, and PropagandaIngmar Weber
Slide deck used during a presentation at STI Forum side event on "Innovating for Peace", hosted by the UN missions of Turkey and Qatar, as well as UN DPPA. More about the STI Forum at https://www.un.org/ecosoc/en/events/2021/multi-stakeholder-forum-science-technology-and-innovation-sustainable-development-goals. The presentation features work by QCRI scientists, including Muhammad Imran and Preslav Nakov, and many others. See the last slide for references.
Research seminar Queen Mary University of London (CogSci)Miriam Fernandez
Research Seminar at Queen Mary University of London (CogSci) 2nd December 2020. In this talk, we present and discuss various research and development projects focused on addressing some of the societal challenges of today’s world (misinformation spreading, extremism, child grooming) by means of social data science. These problems are complex, dynamic and heterogeneous, and cannot be looked at from a single lens. We will discuss how these problems are addressed from a multidisciplinary angle, combining theories, models and methods from social science, computer science, or psychology; bringing a deeper understanding of the problems, and their relations to users and their behaviours, to the proposed solutions.
Confronted with growing global evidence on the prevalence of violence, policy makers worldwide must make sense of what are sometimes overwhelming figures about the scope and scale of violence affecting children. In 2014, Peru joined the Multi-Country Study on the Drivers of Violence Affecting Children of the UNICEF Office of Research - Innocenti to find out what drives violence and what can be done about it?
Identifying Trends in Discrimination against women in the workplace In Social...UN Global Pulse
In collaboration with the International Labour Organisation (ILO) Country Office for Indonesia, Pulse Lab Jakarta conducted a feasibility study to explore online data as a source of real-time signals of discrimination against women in the workplace. Keywords were used to filter public tweets related to discrimination, identifying four topics with significant volume of discussions (over 100,000 tweets over three years); discrimination in job requirements, permission for women to work, perceptions on appropriateness of different types of work for women, and the multiple burdens of working women. The study found that, using these keywords, signals were not strong enough in ILO’s priority focus areas in Indonesia. Therefore, the tweets analyzed in the research did not lead to conclusive results. While most of the identified tweets corresponded to discriminatory job requirements, weak signals from messages coming from directly affected populations may imply that it is common for women workers to keep silent about their experience related to discrimination and violence in the workplace for various reasons including fear of losing the job and facing further discrimination.
Cite as: UN Global Pulse, 'Feasibility Study: Identifying Trends in Discrimination Against Women in the Workplace In Social Media', Global Pulse Project Series no.11, 2014'.
Development as Freedom in a Digital Age Soren Gigler
Under what conditions can new technologies enhance the well-being of poor communities? The study designs an alternative evaluation framework (AEF) that applies Amartya Sen’s capability approach to the study of information and communications technologies (ICTs) in order to place people’s well-being, rather than technology, at the center of the study. The AEF develops an impact chain that examines the mechanisms by which access to, and meaningful use of, ICTs can enhance people’s “informational capabilities” and improve people’s human and social capabilities. This approach thus uses people’s individual and collective capabilities, rather than measures of access or use, as its principal evaluative space. Based on empirical evidence from indigenous communities’ use of new technologies in rural Bolivia, the study concludes that enhancing poor people’s informational capabilities is the most critical factor determining the impact of ICTs on their well-being. Improved informational capabilities, like literacy, do enhance the human capabilities of poor and marginalized peoples to make strategic life choices and achieve the lifestyle they value. Evaluating the impact of ICTs in terms of capabilities thus reveals no direct relationship between improved access to, and use of, ICTs and enhanced well-being; ICTs lead to improvements in people’s lives only when informational capabilities are transformed into expanded human and social capabilities in the economic, political, social, organizational, and cultural dimensions of their lives. The study concludes that intermediaries are bound to play a central, even fundamental, role in this process. They help poor communities to enact and appropriate ICTs to their local socio-cultural context so that their use becomes meaningful for people’s daily lives, enhances their informational capabilities, and ultimately improves their human and social capabilities.
eGender: Gill Kirkup: Viewing the elearning landscape through the lens of genderjakob
Gill Kirkup (Institute of Educational Technology Open University, Milton Keynes):
In Universities we are busy dealing with the impact of elearning tools and pedagogies on our students and our staff and our knowledge domains. We know that elearning can create opportunities; we worry that it also creates barriers. But who benefits and who is disadvantaged is not yet clear. In this new higher education landscape the complexities of gender can be overlooked because our attention is fully occupied with new structures, technologies, practices, markets, and too few resources. Women students, on the other hand, don’t cause us worry; overall they appear to be performing well. However, it is possible to lose the gender equality gains that have been achieved in the last thirty years in the complexities of change. In this lecture I will argue that the new elearning landscape needs to be examined through the lens of gender. I will review what is known about women’s access to, and use of the technologies of elearning, and relate this to what we know about gender and higher education. I will discuss how gender mainstreaming principles can be integrated into good practices in the design and delivery of elearning, to increase the opportunities for all.
Nowadays the social networks is considered a ubiquitous technology in different environments and fields but this technology has multiples challenges, one of the most important is the users privacy.
Digital ad fraud is not illegal because there are not laws against it yet. But it is very similar to other crimes for which there are laws -- e.g. counterfeit goods, computer crimes, etc.
Slides for presentation given at Immigration, Refugees and Citizenship Canada (IRCC) in Ottawa as part of the "Research Matters" series on Sep 25. Joint work with Emilio Zagheni, Kiran Garimella, Joao Palotti and others. See https://ingmarweber.de/publications/ for publications and citation information. The trip to Ottawa is supported in part by ACM's Distinguished Speakers Program (https://speakers.acm.org/speakers/weber_7123).
Data on Polarization, Peace, and PropagandaIngmar Weber
Slide deck used during a presentation at STI Forum side event on "Innovating for Peace", hosted by the UN missions of Turkey and Qatar, as well as UN DPPA. More about the STI Forum at https://www.un.org/ecosoc/en/events/2021/multi-stakeholder-forum-science-technology-and-innovation-sustainable-development-goals. The presentation features work by QCRI scientists, including Muhammad Imran and Preslav Nakov, and many others. See the last slide for references.
Research seminar Queen Mary University of London (CogSci)Miriam Fernandez
Research Seminar at Queen Mary University of London (CogSci) 2nd December 2020. In this talk, we present and discuss various research and development projects focused on addressing some of the societal challenges of today’s world (misinformation spreading, extremism, child grooming) by means of social data science. These problems are complex, dynamic and heterogeneous, and cannot be looked at from a single lens. We will discuss how these problems are addressed from a multidisciplinary angle, combining theories, models and methods from social science, computer science, or psychology; bringing a deeper understanding of the problems, and their relations to users and their behaviours, to the proposed solutions.
Confronted with growing global evidence on the prevalence of violence, policy makers worldwide must make sense of what are sometimes overwhelming figures about the scope and scale of violence affecting children. In 2014, Peru joined the Multi-Country Study on the Drivers of Violence Affecting Children of the UNICEF Office of Research - Innocenti to find out what drives violence and what can be done about it?
Identifying Trends in Discrimination against women in the workplace In Social...UN Global Pulse
In collaboration with the International Labour Organisation (ILO) Country Office for Indonesia, Pulse Lab Jakarta conducted a feasibility study to explore online data as a source of real-time signals of discrimination against women in the workplace. Keywords were used to filter public tweets related to discrimination, identifying four topics with significant volume of discussions (over 100,000 tweets over three years); discrimination in job requirements, permission for women to work, perceptions on appropriateness of different types of work for women, and the multiple burdens of working women. The study found that, using these keywords, signals were not strong enough in ILO’s priority focus areas in Indonesia. Therefore, the tweets analyzed in the research did not lead to conclusive results. While most of the identified tweets corresponded to discriminatory job requirements, weak signals from messages coming from directly affected populations may imply that it is common for women workers to keep silent about their experience related to discrimination and violence in the workplace for various reasons including fear of losing the job and facing further discrimination.
Cite as: UN Global Pulse, 'Feasibility Study: Identifying Trends in Discrimination Against Women in the Workplace In Social Media', Global Pulse Project Series no.11, 2014'.
Development as Freedom in a Digital Age Soren Gigler
Under what conditions can new technologies enhance the well-being of poor communities? The study designs an alternative evaluation framework (AEF) that applies Amartya Sen’s capability approach to the study of information and communications technologies (ICTs) in order to place people’s well-being, rather than technology, at the center of the study. The AEF develops an impact chain that examines the mechanisms by which access to, and meaningful use of, ICTs can enhance people’s “informational capabilities” and improve people’s human and social capabilities. This approach thus uses people’s individual and collective capabilities, rather than measures of access or use, as its principal evaluative space. Based on empirical evidence from indigenous communities’ use of new technologies in rural Bolivia, the study concludes that enhancing poor people’s informational capabilities is the most critical factor determining the impact of ICTs on their well-being. Improved informational capabilities, like literacy, do enhance the human capabilities of poor and marginalized peoples to make strategic life choices and achieve the lifestyle they value. Evaluating the impact of ICTs in terms of capabilities thus reveals no direct relationship between improved access to, and use of, ICTs and enhanced well-being; ICTs lead to improvements in people’s lives only when informational capabilities are transformed into expanded human and social capabilities in the economic, political, social, organizational, and cultural dimensions of their lives. The study concludes that intermediaries are bound to play a central, even fundamental, role in this process. They help poor communities to enact and appropriate ICTs to their local socio-cultural context so that their use becomes meaningful for people’s daily lives, enhances their informational capabilities, and ultimately improves their human and social capabilities.
eGender: Gill Kirkup: Viewing the elearning landscape through the lens of genderjakob
Gill Kirkup (Institute of Educational Technology Open University, Milton Keynes):
In Universities we are busy dealing with the impact of elearning tools and pedagogies on our students and our staff and our knowledge domains. We know that elearning can create opportunities; we worry that it also creates barriers. But who benefits and who is disadvantaged is not yet clear. In this new higher education landscape the complexities of gender can be overlooked because our attention is fully occupied with new structures, technologies, practices, markets, and too few resources. Women students, on the other hand, don’t cause us worry; overall they appear to be performing well. However, it is possible to lose the gender equality gains that have been achieved in the last thirty years in the complexities of change. In this lecture I will argue that the new elearning landscape needs to be examined through the lens of gender. I will review what is known about women’s access to, and use of the technologies of elearning, and relate this to what we know about gender and higher education. I will discuss how gender mainstreaming principles can be integrated into good practices in the design and delivery of elearning, to increase the opportunities for all.
Nowadays the social networks is considered a ubiquitous technology in different environments and fields but this technology has multiples challenges, one of the most important is the users privacy.
Digital ad fraud is not illegal because there are not laws against it yet. But it is very similar to other crimes for which there are laws -- e.g. counterfeit goods, computer crimes, etc.
Fake News, Algorithmic Accountability and the Role of Data Journalism in the ...Liliana Bounegru
Talk given at the workshop 'How Can Public Interest Journalism Hold Algorithms to Account?' at the University of Cambridge on 23 March 2017.
More about the talk can be found here: http://lilianabounegru.org/2017/03/27/fake-news-algorithmic-accountability-data-journalism-post-truth-university-of-cambridge/
More about the workshop can be found here: http://www.crassh.cam.ac.uk/events/27130
Data-driven decision-making, including greater accuracy, precision, efficiency, and responsibility in the use of data.
Fuel rapid innovation through faster iterative learning – fail fast, learn faster, execute smarter.
Future Factors September 2020: The Outlook for Digital MarketingKepios
In this presentation published in partnership between Kepios and Statista, Simon Kemp looks at the trends in digital behaviour that are shaping the outlook for digital marketing. Topics include: accelerating digital adoption; how to select social media platforms for marketing; the evolution of the world's online search behaviours; and more. Watch the complete presentation on YouTube: https://www.youtube.com/watch?v=zc-ZqAlJ8i4
Keynote at the 24th International Conference on Urban Planning and Regional Development in the Information Society
GeoMultimedia 2019, 2-4 April 2019
Karlsruhe Institute of Technology, Germany
Social media analysis for better policy makingIngmar Weber
Slides for my presentation during the "Social Media and the Law" Symposium on Wednesday, October 18 (http://www.hbku.edu.qa/en/academic-events/colloquium-social-media-and-law). See https://ingmarweber.de/publications/ for a full list of my publications in computational social science.
How your data can be used against you #DataScienceWeek presentation by Leigh-...Leigh-Chantelle
In our always-on culture we are constantly tethered to our digital devices and we leave behind a digital trail each time we are online.
Whether it is what we are looking at online, which bridges we drive over, where we are when we make a phone call, our purchasing habits, or what our profile answers are on dating sites, all of this personally identifying information can be used, sold, and shared online to create an extremely detailed representation of our lives.
Is convenience a big enough trade off for our privacy? How can we understand how our data is collected and used - and how can we have some semblance of control with how our information is used?
In this session, Leigh-Chantelle offers solutions to help attendees understand how our digital trails are created and some of the things we can do to alleviate the harm, including how we can pause, consider, and decide to make lifelong healthy digital habits.
Watch the video on YouTube: https://youtu.be/T48TTfgS0jw
See more events for #DataScienceWeek 2021: https://datascienceweek.org/968-2/
Different Hashtags, Different Opinions - Twitter Polarization in EgyptIngmar Weber
Slides for a flash talk given on July 12 at the online workshop on "Modeling and Measuring Social Cohesion using Methods of Computational Social Science" organized by the Bremen International Graduate School of Social Sciences (BIGSSS). Joint work with Kiran Garimella, Alaa Bateyneh, and others. Details at https://ingmarweber.de/publications/.
Not so-obvious social media analysis to study current affairsIngmar Weber
This instalment of the (un)data Seminar Series on Outrageous Questions will discuss topics related to studying political extremism and monitoring global development through social media analysis. Dr. Weber will explain the methods and analysis behind three case studies of political analysis and global development: first, how one can use Twitter to understand the antecedents of ISIS support by building a classifier that, in retrospect, predicts if a Twitter user will oppose or support ISIS. The features that are predictive (or not) of ISIS support help to understand potential motivations. Second, a methodology for monitoring political polarization and show how increases in this polarization measure tended to precede outbreaks in Egypt. Third, how publicly accessible advertising data from Facebook can de repurposed to monitor migration and track internet access gender gaps around the globe. The overarching goal is to illustrate how despite challenges around lack of representativeness, social media can provide useful signals to study current affairs.
Digital Trace Data for Demographic ResearchIngmar Weber
Lecture given as part of the BIGSSS 2019 summer school on migration (https://bigsss-css.jacobs-university.de/migration2019/migration/). See https://ingmarweber.de/publications/ for related publications. Mostly joint work with Emilio Zagheni.
Digital advertising data for migration researchIngmar Weber
Presentation given at the International Metropolis Conference on June 25 in Ottawa. The conference trip was financially supported by the European Commission's Joint Research Center as well as by ACM's Distinguished Speakers Program.
Using advertising data to model migration, poverty and digital gender gapsIngmar Weber
Talk given at the Machine Learning and Data Analytics Symposium (MLDAS 2019). https://qcai.qcri.org/index.php/events/mldas-2019/.
Contact me if you're interested in the topic of poverty mapping or data for development in general.
Correlated Impulses: Using Facebook Interests to Improve Predictions of Crime...Ingmar Weber
Presentation at the Annual Meeting of the Population Association of America (PAA 2019) in the Session Using Social Media in Population Research (http://paa2019.populationassociation.org/sessions/128). See https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0211350 for the full paper.
Estimating Migration and Quantifying Migrant Assimilation Using Internet Adve...Ingmar Weber
Presentation given at HBKU Colloquium on Big Data and the Law (https://hbku.edu.qa/en/academic-events/digital-humanities-big-data-law). Joint research with Emilio Zagheni and others on monitoring international migration using Facebook advertising data.
Using internet advertising data for studying international migrationIngmar Weber
Slides used at #BigData4Migration workshop. https://ec.europa.eu/jrc/en/event/workshop/big-data-and-alternative-data-sources-migration-case-studies-policy-support
See https://ingmarweber.de/publications/ for some related publications.
Matching Methods and Natural Experiments - Examples of Causal Inference from ...Ingmar Weber
Invited talk given at Observational Studies Through Social Media workshop (OSSM, https://www.microsoft.com/en-us/research/event/ossm17/) at ICWSM'17. Includes both my own but, mostly, other people's work.
Studies covered:
"Detecting Emotional Contagion in Massive Social Networks", http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0090315
"Exercise contagion in a global social network", https://www.nature.com/articles/ncomms14753
"How Community Feedback Shapes User Behavior", https://www.aaai.org/ocs/index.php/ICWSM/ICWSM14/paper/view/8066
"A Warm Welcome Matters!: The Link Between Social Feedback and Weight Loss in /r/loseit", http://dl.acm.org/citation.cfm?id=3055131
See https://ingmarweber.de/publications/ for my own work.
Not-so-obvious Online Data Sources for Demographic ResearchIngmar Weber
Slides from ICWSM'17 workshop on Social Media for Demographic Research (https://sites.google.com/site/smdrworkshop/program). Data sets include Facebook's ad audience estimates, Google Correlate, online genealogy and much more. Contact Ingmar directly to learn more.
A Warm Welcome Matters! The Link Between Social Feedback and Weight Loss in /...Ingmar Weber
Presentation in the Web Science track at WWW'17. Full paper https://ingmarweber.de/wp-content/uploads/2017/04/A-Warm-Welcome-Matters-The-Link-Between-Social-Feedback-and-Weight-Loss-in-r-loseit.pdf. Work led by Tiago Cunha (https://twitter.com/tocunha).
Abstract of paper:
Social feedback has long been recognized as an important
element of successful health-related behavior change. However, most of the existing studies look at the effect that online social feedback has. This paper fills gaps in the literature by proposing a framework to study the causal effect
that receiving social support in the form of comments in an
online weight loss community has on (i) the probability of
the user to return to the forum, and, more importantly, on
(ii) the weight loss reported by the user. Using a matching
approach for causal inference we observe a difference of 9
lbs lost between users who do or do not receive comments.
Surprisingly, this effect is mediated by neither an increase in
lifetime in the community nor by an increased activity level
of the user. Our results show the importance that a "warm
welcome" has when using online support forums to achieve
health outcomes.
Social Media Research and Practice in the Health Domain - Tutorial, Part IIIngmar Weber
Second part of tutorial given at Weill Cornell Medicine Qatar on February 18, 2017 (https://qatar-weill.cornell.edu/bchp/socialMediaResearchPracticeHealthDomain.html). First part given by Luis Luque (see https://www.slideshare.net/luis.luque/social-media-research-in-the-health-domain-tutorial).
Digital Demography - WWW'17 Tutorial - Part IIIngmar Weber
Second part of a tutorial given at WWW'17 (http://www2017.com.au/) on Digital Demography. More information about the tutorial at https://sites.google.com/site/digitaldemography/. Please reference the archival tutorial description (at http://papers.www2017.com.au.s3-website-ap-southeast-2.amazonaws.com/companion/p935.pdf) when using the material.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
3. Use Case 1: Mapping Poverty
Predictedwealthindex(FB2019)
Ground truth wealth index (DHS 2017)
R^2 = .63
Features: FB penetration, devices used (iOS), connection type (4G), …
4. Use Case 2: Digital Gender Gaps
https://www.digitalgendergaps.org/
ITU 2018 dataFB-based May 2019 predictions
5. Use Case 3: Venezuelan Exodus
Trends across time
Trends across space
Socio-economic insights
6. Advertising Audience Estimates
+ Facebook, LinkedIn, Twitter, Snapchat, Google, ...
+ Real-time estimates
+ Uses anonymous and aggregate data
+ Gender, age, location, country of origin, ….
- Black box on how attributes are inferred
- Needs modeling for bias correction
- Usage patterns change over time
- No historic data available
- Risk of misuse