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.
From Global to Local: Mobile, Mapping and ActionChristian Kreutz
Location, mobile phones and the Internet, combined together, are becoming an attractive amalgam for new opportunities. There is a fascinating trend to see the convergence of mobile technologies connected to the Internet and the rising importance of location. This is not just another hype, but could really be interesting for the non-profit arena.
The Pilot Atlas presents a number of ways to understand structural issues of homelessness in Canada by using dynamic graphical representations.
Tracey Lauriault
Project Research Leader,
Carleton University
“Data for Development – the value of data for research and society” by Dr. Ma...LEARN Project
“Data for Development – the value of data for research and society”, Dr. Martin Hilbert, University of California - presented at the 4th LEARN RDM Workshop in Santiago, Chile: http://learn-rdm.eu/
Crowdsourced Mapping to Support Sustainable Development and help prevent FGM ...Janet Chapman
Jianting Zhao is an Azavea Summer of Maps fellow and is working with Crowd2Map to analyze the cases of Female Genital Mutilation (FGM) by location in Tanzania. Azavea is an award-winning software development, analysis, and visualization firm that applies geospatial technology for civic, social, and environmental impact. The Summer of Maps is a fellowship program that connects students with GIS background with select non-profit organizations to work on spatial analysis projects.
In this “Crowdsourced Mapping to Support Sustainable Development and help prevent FGM in Rural Tanzania” project, Jianting visualizes how FGM incidents are distributed and what factors affect FGM cases.
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
From Global to Local: Mobile, Mapping and ActionChristian Kreutz
Location, mobile phones and the Internet, combined together, are becoming an attractive amalgam for new opportunities. There is a fascinating trend to see the convergence of mobile technologies connected to the Internet and the rising importance of location. This is not just another hype, but could really be interesting for the non-profit arena.
The Pilot Atlas presents a number of ways to understand structural issues of homelessness in Canada by using dynamic graphical representations.
Tracey Lauriault
Project Research Leader,
Carleton University
“Data for Development – the value of data for research and society” by Dr. Ma...LEARN Project
“Data for Development – the value of data for research and society”, Dr. Martin Hilbert, University of California - presented at the 4th LEARN RDM Workshop in Santiago, Chile: http://learn-rdm.eu/
Crowdsourced Mapping to Support Sustainable Development and help prevent FGM ...Janet Chapman
Jianting Zhao is an Azavea Summer of Maps fellow and is working with Crowd2Map to analyze the cases of Female Genital Mutilation (FGM) by location in Tanzania. Azavea is an award-winning software development, analysis, and visualization firm that applies geospatial technology for civic, social, and environmental impact. The Summer of Maps is a fellowship program that connects students with GIS background with select non-profit organizations to work on spatial analysis projects.
In this “Crowdsourced Mapping to Support Sustainable Development and help prevent FGM in Rural Tanzania” project, Jianting visualizes how FGM incidents are distributed and what factors affect FGM cases.
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
Sources of Map Error in Public Health Activities and Operations ResearchLouisa Diggs
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on “Quantifying Error in Training Data for Mapping and Monitoring the Earth System” was held on January 8-9, 2019 at Clark University, with support from Omidyar Network’s Property Rights Initiative, now PlaceFund.
Using survey data to predict poverty in relation to financial service access ...insight2impact i2i
Workshop: Location matters – GIS in financial inclusion, Johannesburg, South Africa.
Tom Bird, Andy Tatem, Linus Bengtsson, & Alessandro Sorichetta, University of Southampton WorldPop Project.
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/.
The location of aid and why it is so important for governments and donors. A presentation about different mapping and geospatial initiatives at the World Bank, held by Pernilla Näsfors at Location Day in Malmö, Sweden on December 6, 2013.
How the polio eradication effort in Nigeria led to a quest for global geospat...MEASURE Evaluation
Presented by Vincent Seaman, Interim Deputy Director for the Strategy, Data and Analytics, Bill & Melinda Gates Foundation, at the 2017 GIS Working Group Annual Meeting.
Presentation at the session "It takes a village to leave no one behind: Emerging best practices in community-based data collection" during the 2018 UN World Data Forum
Expert consultation on methodology for an information system on rural livelihoods and Sustainable Development Goals indicators on smallholder productivity and income 7 - 8 December, FAO headquarters
The emergent opportunity of Big Data for Social Good - Nuria Oliver @ PAPIs C...PAPIs.io
We live in a world of data, of big data. A big portion of this data has been generated by humans, and particularly through their mobile phones. In fact, there are almost as many mobile phones in the world as humans. The mobile phone is the piece of technology with the highest levels of adoption in human history. We carry them with us all through the day (and night, in many cases), leaving digital traces of our physical interactions. Mobile phones have become sensors of human activity in the large scale and also the most personal devices.
In my talk, I will present some of the work that we are doing at Telefonica Research in the area of human behavior understanding from data captured with mobile phones, and particularly our work in the area of Big Data for Social Good. I will highlight opportunities but also challenges that we would need to address in order to truly leverage this opportunity.
Nuria Oliver is a computer scientist and Scientific Director at Telefónica. She holds a Ph.D. from the Media Lab at MIT. She is one of the most cited female computer scientist in Spain, with her research having been cited by more than 8900 publications. She is well known for her work in computational models of human behavior, human computer-interaction, intelligent user interfaces, mobile computing and big data for social good.
The market leading annual research report on social media use in Atlantic Canada. This is the Podcamp presentation while a detailed report is off the MediaBadger blog at mediabadger.com/blog
Reimagining Cities: Resource Innovation and Brand Platforms for the FutureSustainable Brands
Dan O'Neill, General Manager, Sustainability Solutions Service, Arizona State University
John Trujillo, Assistant Director of Public Works, City of Phoenix
Presentation on Future policy for rural areas made at the 2ème Rencontre d’Automne des Nouvelles Ruralités on 26 October 2017, Valence, France
More information: http://www.oecd.org/cfe/regional-policy/
Creating a Data-Driven Government: Big Data With PurposeTyrone Grandison
The U.S. Department of Commerce collects, processes and disseminates data on a range of issues that impact our nation. Whether it's data on the economy, the environment, or technology, data is critical in fulfilling the Department's mission of creating the conditions for economic growth and opportunity. It is this data that provides insight, drives innovation, and transforms our lives. The U.S. Department of Commerce has become known as "America's Data Agency" due to the tens of thousands of datasets including satellite imagery, material standards and demographic surveys.
But having a host of data and ensuring that this data is open and accessible to all are two separate issues. The latter, expanding open data access, is now a key pillar of the Commerce Department's mission. It was this focus on enhancing open data that led to the creation of the Commerce Data Service (CDS).
The mission at the Commerce Data Service is to enable more people to use big data from across the department in innovative ways and across multiple fields. In this talk, I will explore how we are using big data to create a data-driven government.
This talk is a keynote given at the Texas tech University's Big Data Symposium.
CUGOS Spring Fling Presentation April 15, 2016 Open Data in Cape Town South Africa and the NGOs that work with it including VPUU and Code for South Africa.
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/.
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.
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Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on “Quantifying Error in Training Data for Mapping and Monitoring the Earth System” was held on January 8-9, 2019 at Clark University, with support from Omidyar Network’s Property Rights Initiative, now PlaceFund.
Using survey data to predict poverty in relation to financial service access ...insight2impact i2i
Workshop: Location matters – GIS in financial inclusion, Johannesburg, South Africa.
Tom Bird, Andy Tatem, Linus Bengtsson, & Alessandro Sorichetta, University of Southampton WorldPop Project.
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The emergent opportunity of Big Data for Social Good - Nuria Oliver @ PAPIs C...PAPIs.io
We live in a world of data, of big data. A big portion of this data has been generated by humans, and particularly through their mobile phones. In fact, there are almost as many mobile phones in the world as humans. The mobile phone is the piece of technology with the highest levels of adoption in human history. We carry them with us all through the day (and night, in many cases), leaving digital traces of our physical interactions. Mobile phones have become sensors of human activity in the large scale and also the most personal devices.
In my talk, I will present some of the work that we are doing at Telefonica Research in the area of human behavior understanding from data captured with mobile phones, and particularly our work in the area of Big Data for Social Good. I will highlight opportunities but also challenges that we would need to address in order to truly leverage this opportunity.
Nuria Oliver is a computer scientist and Scientific Director at Telefónica. She holds a Ph.D. from the Media Lab at MIT. She is one of the most cited female computer scientist in Spain, with her research having been cited by more than 8900 publications. She is well known for her work in computational models of human behavior, human computer-interaction, intelligent user interfaces, mobile computing and big data for social good.
The market leading annual research report on social media use in Atlantic Canada. This is the Podcamp presentation while a detailed report is off the MediaBadger blog at mediabadger.com/blog
Reimagining Cities: Resource Innovation and Brand Platforms for the FutureSustainable Brands
Dan O'Neill, General Manager, Sustainability Solutions Service, Arizona State University
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The U.S. Department of Commerce collects, processes and disseminates data on a range of issues that impact our nation. Whether it's data on the economy, the environment, or technology, data is critical in fulfilling the Department's mission of creating the conditions for economic growth and opportunity. It is this data that provides insight, drives innovation, and transforms our lives. The U.S. Department of Commerce has become known as "America's Data Agency" due to the tens of thousands of datasets including satellite imagery, material standards and demographic surveys.
But having a host of data and ensuring that this data is open and accessible to all are two separate issues. The latter, expanding open data access, is now a key pillar of the Commerce Department's mission. It was this focus on enhancing open data that led to the creation of the Commerce Data Service (CDS).
The mission at the Commerce Data Service is to enable more people to use big data from across the department in innovative ways and across multiple fields. In this talk, I will explore how we are using big data to create a data-driven government.
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Using Advertising Platforms for Social GoodIngmar Weber
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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.
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).
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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.
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.
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.
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.
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.
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.
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.
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.
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).
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Richard's entangled aventures in wonderlandRichard 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.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
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.
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The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
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Monitor common gases, weather parameters, particulates.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
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Using advertising data to model migration, poverty and digital gender gaps
1. Using Advertising Data to Model Migration,
Poverty and Digital Gender Gaps
Ingmar Weber
April 1, 2019
MLDAS
@ingmarweber
2. Great Collaborators
• Mapping poverty in the Philippines
– with UNICEF and Thinking Machines
• Tracking digital gender gaps
– with Data2X and University of Oxford
• Monitoring the Venezuelan exodus
– with UNHCR, UNICEF and iMMAP
Joao Palotti
Masoomali Fatehkia
8. Why Map Poverty?
• Monitor sustainable development
• Plan better poverty reduction interventions
• Impact assessment of interventions
– Low latency a huge plus
9. Obtaining Training Data
• 2017 household survey implemented by the
Philippine Statistics Authority (PSA)
• Representative sample of ~40 households in
n=1214 “clusters”
• Asset ownership based wealth index (y=WI)
=> standard regression task
10. Sources of Ground Truth Noise
• Sampling noise
– Wealth index depends on particular households
– Expected R^2 = .95 (bootstrap estimate)
• Spatial perturbation
– True location is (x,y), but reported at (x’,y’)
– Protects privacy
– Expected R^2 = .89 (simulations)
• Combined
– Expected R^2 = .84
– “Expected upper bound”
11. Features to Map Poverty
24 variables on connection type,
device manufacturer, device type
12. Modeling the Wealth Index
● Model selection using LASSO:
Wealth Index / 1000 = - 96
+ 115 * (frac.FB users with 4G)
+ 216 * (frac. FB users with WiFi)
+ 48 * (frac. FB users with iOS)
- 89 * (frac. FB users with Cherry Mobile)
+ 11 * (frac. FB users with high end phones)
+ 30 * (FB penetration)
+ 3 * (log population density)
Tried regression trees, didn’t help
13. Modeling the Wealth Index
2017
2019
R^2 = 0.58
(10-fold CV)
Offl. baseline
R^2 = .37
Upper bound:
R^2 = .84
Due to DHS noise
15. Summary
- Challenging in low population areas (k-anonymity)
- Can catch temporal changes? Unclear.
+ Potentially more “causal” than satellite features
+ Supports demographic dis-aggregation
+ Does not break down at lowest decile
+ Promising to combine with other data sources
• Interested? Launching poverty mapping initiative
32. Advertising Audience Estimates
+ Global reach with over 2 billion users
+ FB, LinkedIn, Google, Snapchat, IG, ...
+ Real-time estimates
+ Uses anonymous and aggregate data
+ Gender, age, location, country of origin, ….
33. Advertising Audience Estimates
- Black box on how attributes are inferred
- Needs modeling for bias correction
- Usage patterns change over time
- Only includes people who are online
- Could create “use FB!” incentives
- Risk of misuse