This is my attempt at an introduction to data ethics for mathematicians. Mathematicians increasingly need to deal with these kinds of issues, but we don't have the tradition of ethics training from other disciplines.
I welcome comments on how to improve these slides. Did I miss any salient points? Do you want to offer a different perspective on any of these? Do you want to offer any counterpoints? (Please e-mail me directly with comments and suggestions.)
Eventually, I hope to develop these slides further into an article for a venue aimed at mathematical scientists, and of course I would love to have knowledgeable coauthors who can offer a different perspective from mine.
My slides from my 3-hour tutorial on mesoscale structures in networks from the 2016 Lake Como School on Complex Networks (http://ntmb.lakecomoschool.org/).
After my talk, Tiago Peixoto gave a talk on statistical inference of large-scale mesoscale structures in networks. His presentation, which takes a complementary perspective from mine, is available at the following website: https://speakerdeck.com/count0/statisical-inference-of-generative-network-models
These slides are for my talk for the Somerville College Mathematics Reunion ("Somerville Maths Reunion", 6/24/17): http://www.some.ox.ac.uk/event/somerville-maths-reunion/
This is a presentation I gave in a workshop on "Language, concepts, history" organized by historian Joanna Innes. It took place on Friday 4/22/16 in Somerville College, Oxford.
I was one of the only people present who was not from the humanities, so it was a rather different-than-usual audience and set of participants for me.
I drew some of these slides from other presentations to rather different audiences. I emphasized rather different parts of some of those slides, so I am not sure if the slides on their own give an accurate reflection of the difference between this presentation and some of my other ones.
I thought the presentation went rather well.
Centrality in Time- Dependent NetworksMason Porter
My slides for my keynote talk at the NetSci 2018 (#NetSci2018) conference in Paris, France (June 2018). This talk will take place on Thursday 13 June in the morning.
This is a colloquium that I presented on 4/22/21: Stockholm University, Nordic Institute for Theoretical Physics (NORDITA), WINQ–AlbaNova Colloquium
Here is a video of my talk: http://video.albanova.se/ALBANOVA20210422/video.mp4
Mathematical Models of the Spread of Diseases, Opinions, Information, and Mis...Mason Porter
This is my general-audience talk at DiscCon III (2021 WorldCon).
My talk overlapped with the Hugo Award ceremony, but the video will be posted later on the DisCon website for attendees who want to see it.
My slides from my 3-hour tutorial on mesoscale structures in networks from the 2016 Lake Como School on Complex Networks (http://ntmb.lakecomoschool.org/).
After my talk, Tiago Peixoto gave a talk on statistical inference of large-scale mesoscale structures in networks. His presentation, which takes a complementary perspective from mine, is available at the following website: https://speakerdeck.com/count0/statisical-inference-of-generative-network-models
These slides are for my talk for the Somerville College Mathematics Reunion ("Somerville Maths Reunion", 6/24/17): http://www.some.ox.ac.uk/event/somerville-maths-reunion/
This is a presentation I gave in a workshop on "Language, concepts, history" organized by historian Joanna Innes. It took place on Friday 4/22/16 in Somerville College, Oxford.
I was one of the only people present who was not from the humanities, so it was a rather different-than-usual audience and set of participants for me.
I drew some of these slides from other presentations to rather different audiences. I emphasized rather different parts of some of those slides, so I am not sure if the slides on their own give an accurate reflection of the difference between this presentation and some of my other ones.
I thought the presentation went rather well.
Centrality in Time- Dependent NetworksMason Porter
My slides for my keynote talk at the NetSci 2018 (#NetSci2018) conference in Paris, France (June 2018). This talk will take place on Thursday 13 June in the morning.
This is a colloquium that I presented on 4/22/21: Stockholm University, Nordic Institute for Theoretical Physics (NORDITA), WINQ–AlbaNova Colloquium
Here is a video of my talk: http://video.albanova.se/ALBANOVA20210422/video.mp4
Mathematical Models of the Spread of Diseases, Opinions, Information, and Mis...Mason Porter
This is my general-audience talk at DiscCon III (2021 WorldCon).
My talk overlapped with the Hugo Award ceremony, but the video will be posted later on the DisCon website for attendees who want to see it.
Introduction to Topological Data AnalysisMason Porter
Here are slides for my 3/14/21 talk on an introduction to topological data analysis.
This is the first talk in our Short Course on topological data analysis at the 2021 American Physical Society (APS) March Meeting: https://march.aps.org/program/dsoft/gsnp-short-course-introduction-to-topological-data-analysis/
Social Network Analysis Workshop
This talk will be a workshop featuring an overview of basic theory and methods for social network analysis and an introduction to igraph. The first half of the talk will be a discussion of the concepts and the second half will feature code examples and demonstrations.
Igraph is a package in R, Python, and C++ that supports social network analysis and network data visualization.
Ian McCulloh holds joint appointments as a Parson’s Fellow in the Bloomberg School of Public health, a Senior Lecturer in the Whiting School of Engineering and a senior scientist at the Applied Physics Lab, at Johns Hopkins University. His current research is focused on strategic influence in online networks. His most recent papers have been focused on the neuroscience of persuasion and measuring influence in online social media firestorms. He is the author of “Social Network Analysis with Applications” (Wiley: 2013), “Networks Over Time” (Oxford: forthcoming) and has published 48 peer-reviewed papers, primarily in the area of social network analysis. His current applied work is focused on educating soldiers and marines in advanced methods for open source research and data science leadership.
More information about Dr. Ian McCulloh's work can be found at https://ep.jhu.edu/about-us/faculty-directory/1511-ian-mcculloh
Ethical and Legal Issues in Computational Social Science - Lecture 7 in Intro...Lauri Eloranta
Seventh lecture of the course CSS01: Introduction to Computational Social Science at the University of Helsinki, Spring 2015.(http://blogs.helsinki.fi/computationalsocialscience/).
Lecturer: Lauri Eloranta
Questions & Comments: https://twitter.com/laurieloranta
Intro to social network analysis | What is Network Analysis? | History of (So...Gaditek
Social network analysis is a method by which one can analyze the connections across individuals or groups or institutions. That is, it allows us to examine how political actors or institutions are interrelated.
A Perspective on Graph Theory and Network ScienceMarko Rodriguez
The graph/network domain has been driven by the creativity of numerous individuals from disparate areas of the academic and the commercial sector. Examples of contributing academic disciplines include mathematics, physics, sociology, and computer science. Given the interdisciplinary nature of the domain, it is difficult for any single individual to objectively realize and speak about the space as a whole. Any presentation of the ideas is ultimately biased by the formal training and expertise of the individual. For this reason, I will simply present on the domain from my perspective---from my personal experiences. More specifically, from my perspective biased by cognitive and computer science.
This is an autobiographical lecture on my life (so far) with graphs/networks.
Social Network Analysis - Lecture 4 in Introduction to Computational Social S...Lauri Eloranta
Fourth lecture of the course CSS01: Introduction to Computational Social Science at the University of Helsinki, Spring 2015.(http://blogs.helsinki.fi/computationalsocialscience/).
Lecturer: Lauri Eloranta
Questions & Comments: https://twitter.com/laurieloranta
JALA Editor-in-Chief Edward Kai-Hua Chow, Ph.D., of National University of Singapore shared step-by-step advice on how to design and write scientific research papers more clearly and effectively to improve their chances for successful publication at the recently held conference in Washington, DC. Learn what editors want, what they don't want and how reviewers evaluate manuscripts by reviewing slides from the session.
Introduction to Topological Data AnalysisMason Porter
Here are slides for my 3/14/21 talk on an introduction to topological data analysis.
This is the first talk in our Short Course on topological data analysis at the 2021 American Physical Society (APS) March Meeting: https://march.aps.org/program/dsoft/gsnp-short-course-introduction-to-topological-data-analysis/
Social Network Analysis Workshop
This talk will be a workshop featuring an overview of basic theory and methods for social network analysis and an introduction to igraph. The first half of the talk will be a discussion of the concepts and the second half will feature code examples and demonstrations.
Igraph is a package in R, Python, and C++ that supports social network analysis and network data visualization.
Ian McCulloh holds joint appointments as a Parson’s Fellow in the Bloomberg School of Public health, a Senior Lecturer in the Whiting School of Engineering and a senior scientist at the Applied Physics Lab, at Johns Hopkins University. His current research is focused on strategic influence in online networks. His most recent papers have been focused on the neuroscience of persuasion and measuring influence in online social media firestorms. He is the author of “Social Network Analysis with Applications” (Wiley: 2013), “Networks Over Time” (Oxford: forthcoming) and has published 48 peer-reviewed papers, primarily in the area of social network analysis. His current applied work is focused on educating soldiers and marines in advanced methods for open source research and data science leadership.
More information about Dr. Ian McCulloh's work can be found at https://ep.jhu.edu/about-us/faculty-directory/1511-ian-mcculloh
Ethical and Legal Issues in Computational Social Science - Lecture 7 in Intro...Lauri Eloranta
Seventh lecture of the course CSS01: Introduction to Computational Social Science at the University of Helsinki, Spring 2015.(http://blogs.helsinki.fi/computationalsocialscience/).
Lecturer: Lauri Eloranta
Questions & Comments: https://twitter.com/laurieloranta
Intro to social network analysis | What is Network Analysis? | History of (So...Gaditek
Social network analysis is a method by which one can analyze the connections across individuals or groups or institutions. That is, it allows us to examine how political actors or institutions are interrelated.
A Perspective on Graph Theory and Network ScienceMarko Rodriguez
The graph/network domain has been driven by the creativity of numerous individuals from disparate areas of the academic and the commercial sector. Examples of contributing academic disciplines include mathematics, physics, sociology, and computer science. Given the interdisciplinary nature of the domain, it is difficult for any single individual to objectively realize and speak about the space as a whole. Any presentation of the ideas is ultimately biased by the formal training and expertise of the individual. For this reason, I will simply present on the domain from my perspective---from my personal experiences. More specifically, from my perspective biased by cognitive and computer science.
This is an autobiographical lecture on my life (so far) with graphs/networks.
Social Network Analysis - Lecture 4 in Introduction to Computational Social S...Lauri Eloranta
Fourth lecture of the course CSS01: Introduction to Computational Social Science at the University of Helsinki, Spring 2015.(http://blogs.helsinki.fi/computationalsocialscience/).
Lecturer: Lauri Eloranta
Questions & Comments: https://twitter.com/laurieloranta
JALA Editor-in-Chief Edward Kai-Hua Chow, Ph.D., of National University of Singapore shared step-by-step advice on how to design and write scientific research papers more clearly and effectively to improve their chances for successful publication at the recently held conference in Washington, DC. Learn what editors want, what they don't want and how reviewers evaluate manuscripts by reviewing slides from the session.
JALA Deputy Editor-in-Chief Edward Chow, Ph.D., University of Singapore, offers instruction for central message design, journal selection and proper manuscript composition. Originality, citations and the peer review process also are covered. This presentation is from the popular “JALA & JBS Author Workshop: How to Get Your Work Published,” SLAS2014 in San Diego.
David A. Weil, Ph.D, senior applications scientist with Agilent Technologies, presented "Identification of Potential Bioactive Leachables and Extractables from Plastic Lab Ware by using GC and LC Separation Methods linked with MS Detection."
Dr. Praveen Balimane, senior staff fellow, Division of Clinical Pharmacology-1 at OCP/OTS/CDER/FDA, spoke during the Society for Laboratory Automation and Screening ADMET Special Interest Group Meeting on “Transporter Evaluation in Drug Development.”
Transporters, like CYPs, are being recognized as proteins that can play a pivotal role in dictating the ADME properties of drugs. A thorough understanding of potential roles of transporters in drug interactions and toxicity is important in drug development. The talk provided a high level overview of various transporter evaluation initiatives at the agency. Some of the topics discussed:
• On-going efforts on decision trees within the DDI guidance
• Novel emerging transporters impacting ADME
• Inter-play of hepatic transporters and liver-toxicity
• Inter-play of renal transporters and renal function
Deploying Automated Workstreams and Computational Approaches for Generation of Toxicity Data Used for Hazard Identification, by Robert T. Dunn, II, Ph.D., DABT
Richard Holbrooke's World: Memories of a Newsweek Special Correspondent - A Q...GLOBAL HEAVYLIFT HOLDINGS
During the Balkans War of 1992-95 which primarily involved Bosnia, Serbia and Croatia following the break-up of Yugoslovia, I was, thanks to former Detroit Bureau Chief Frank Washington, Chief of Correspondents Ann McDaniel and Editor Maynard Parker, a special correspondent for Newsweek, Newsweek Japan and Newsweek International covering the industrial (automotive, aerospace), financial, medical and technological sectors along with investigative duties. The latter including the Oklahoma City bombing cover story element "Three Strange Friends" within which I interterviewed James Nichols on his farm in Decker, Michigan; "One Family's Nightmare", the murder of the Freeman family in Pennsylvania by their neo-Nazi sons; the GM board revolt analysis "Another Pink Slip?" that predicted to the day when former Chairman Bob Stempel would step down; a measured defense of Edsel Ford II in "A Young Ford at The Wheel" and "The Shame of the City", covering the death of Deletha Word after jumping off the Belle Isle bridge in Detroit to escape her attackers.
"Just as Safe at Any Speed" written with the Washington Bureau's Evan Thomas, helped to reverse the extremely negative reporting surrounding GM's C/K pickup truck controversy. Additionally, I contributed to an extensive analysis of the nation's blood supply "In Search of Safer Blood" (Geoffrey Cowley, Sharon Begley, et al,) and a 6 month investigation, in collaboration with Melinda Beck, leading to a cover story on the safety of America's airlines "How Safe is This Flight?"
I also had the privilege of being the only reporter to conduct an extensive interview with Rodney King at the height of the LA Riots of 1992 (my brother Doug and I drove out during curfew) while sitting on the hood of King's "magical" Hyundai Excel that managed to outrun, police claimed, a CHP 5.0L Mustang.
Greetings all,
This month’s newsletter is dedicated to regional and coastal oceanography. We review in this issue the impressive work
recently done towards regional to coastal modelling with nesting and open boundary procedures as well as imbrications of
models of increasing resolution and complexity. Moreover, regional and coastal systems have now reached an operational level
and are delivering real time forecast in various areas.
After an introduction by Obaton reminding us of the challenging European and French programs dealing with regional/coastal
oceanography, this issue displays six scientific articles. Chanut et al. are starting with a paper describing the Mercator Ocean
regional system embracing the French Atlantic coast with a 1/36° horizontal resolution. Marsaleix et a l. are then writing about
the North Western Mediterranean Sea system which is currently upgraded in the framework of the ECOOP program. Next paper
by Riflet et al. is dealing with operational ocean forecasting of the Portuguese waters using the Mercator Ocean North Atlantic
high resolution solution at its boundaries. Lecornu et al. are following with an article about the PREVIMER operational MARS
system in the Bay of Biscay. Marchesiello et al. are then describing the effort conducted at IRD in order to provide the
developing countries with tools for operational regional marine forecast. At last, Reffray et al. tell us how the MARS,
SYMPHONIE and NEMO/OPA systems intercompare over the Bay of Biscay during the year 2004.
We wish you a pleasant reading, and we will meet again in October 2008, with a newsletter dedicated to the international
GODAE project, which will hold its final meeting in Nice on November 12-15 2008 (http://www.godae.org/announcement-II.html).
Moreover, let us also remind you that our annual operational oceanography group meeting (Groupe Mission Mercator Coriolis,
GMMC) will take place on October 13 to 15 2008 in Toulouse (MétéoFrance site). We are looking forward to tell you about our
ongoing progress here at Mercator Ocean, and to hear about yours.
The presentation by Klaus Gottlieb highlights human thinking tools that maintain advantages over AI, focusing on critical thinking, creativity, and problem-solving strategies. It showcases how these cognitive skills enable humans to interpret, innovate, and navigate complex scenarios more effectively than current AI capabilities, underscoring the importance of leveraging human intellect alongside technological advancements.
Keywords: Critical Thinking, Creativity, Problem-Solving, Human Intellect, Cognitive Skills, Innovation, AI Limitations.
Due Jan 6Week 8Using Figure 1.2 in Ch. 1 of Exploring Resear.docxjacksnathalie
Due Jan 6
Week 8
Using Figure 1.2 in Ch. 1 of Exploring Research, create a flowchart using Microsoft® Word or a similar program that helps you identify what research design to use for your research question.
Figure 1.2 Research Design “cheat sheet”
Say Hello to Research!
Walk down the hall in any building on your campus where social and
behavioral science professors have their offices in such departments as
psychology, education, nursing, sociology, and human development. Do you
see any bearded, disheveled, white-coated men wearing rumpled pants and
smoking pipes, hunched over their computers and mumbling to themselves?
How about disheveled, white-coated women wearing rumpled skirts, smoking
pipes, hunched over their computers, and mumbling to themselves?
Researchers hard at work? No. Stereotypes of what scientists look like
and do? Yes. What you are more likely to see in the halls of your classroom
building or in your adviser’s office are men and women of all ages who are
hard at work. They are committed to finding the answer to just another piece
of the great puzzle that helps us understand human behavior a little better
than the previous generation of scientists.
Like everyone else, these people go to work in the morning, but unlike
many others, these researchers have a passion for understanding what they
study and for coming as close as possible to finding the “truth.” Although these
truths can be elusive and sometimes even unobtainable, researchers work
toward discovering them for the satisfaction of answering important questions
and then using this new information to help others. Early intervention
programs, treatments of psychopathology, new curricula, conflict resolution
techniques, effective drug treatment programs, and even changes in policy and
law have resulted from evidence collected by researchers. Although not always
perfect, each little bit of evidence gained from a new study or a new idea for a
study contributes to a vast legacy of knowledge for the next generation of
researchers such as yourself.
You may already know and appreciate something about the world of
research. The purpose of this book is to provide you with the tools you need to
do even more, such as
• develop an understanding of the research process.
• prepare yourself to conduct research of your own.
• learn how to judge the quality of research.
• learn how to read, search through, and summarize other research.
• learn the value of research activities conducted online.
• reveal the mysteries of basic statistics and show you how easily they can
be used.
• measure the behaviors, traits, or attributes that interest you.
• collect the type of data that relate to your area of interest.
• use a leading statistical package (SPSS) to analyze data.
• design research studies that answer the question that you want answered.
• write the type of research proposal (and a research report) that puts you in control—
one that shows you have command of the content of the resear ...
Responding to Project Information Literacy 2012 workplace study. What are instruction librarians doing to help students with the social side of research?
WK 2 DQ 1Read the journal article The Ethics of Internet Resear.docxambersalomon88660
WK 2 DQ 1
Read the journal article “The Ethics of Internet Research” (Williams, 2012) and this week’s lecture. In your own words, provide a summary of the article and add your own thoughts on how the Internet can affect the research process, including, but not limited to, ethics concerns.
Reference
Williams, S. G. (2012). The Ethics of Internet Research. Online Journal Of Nursing Informatics, 16(2), 38-48.
Week Two Lecture
Business Research Methods and Tools
Week 2: Research ethics and research design
Hypothesis testing
This week, you’ll learn more about the building blocks of business research. Last week’s readings and guidance introduced you to the concept of hypotheses and research questions. Let’s go into hypothesis testing a bit further.
Let’s reconsider last week’s sample research question: “Why are some of Ashford University’s students not successful in school?” Assume that Ashford’s management noticed that not all students are as successful as they would like them to be: some students fail courses, others drop out, and so on. This is considered the problem they would like to solve with the research. After some background evaluation, the administration develops a hypothesis about the problem and the question: “Ashford students don’t succeed when they have old computers.” The hypothesis states the problem (lack of student success) and an “educated guess” about why the problem is happening (students have old computers).
In the research, Ashford’s administrators need to operationalize the study and test the hypothesis; this means they need to do the research to find out whether their hypothesis is correct. They could study it by sending a survey to students in order to find out how old their computer is. They could give a new computer to some of the students with an old computer, and they could not give a new computer to students with an old computer. Then, the researchers could observe whether there is a difference between the old-computer students and the new-computer students.
In this study, the “null hypothesis” would be: “There is no statistically significant difference between the success of students with old computers and students with new computers.” If the study found there is, in fact, no difference in the success of the two groups, the researchers would fail to reject the null hypothesis. If there is a difference between the two groups, the researchers would reject the null hypothesis.
The process of collecting data to observe differences might be new to you. Remember that if you are not collecting data to answer a research question, you are not doing original research. You might have thought previously that if you write a paper in which you summarize what other researchers have done, then you are “doing research.” That’s not true in this class. In business research, you go beyond summarizing others’ work; you’re making observations from data that are your own.
Research ethics
It’s important to make sure tha.
Normative Research Director Rebecca Pardo gave a series of presentations as an internal "workshop" with the Normative team to discuss research in a design context. This is the first of the series.
Beautiful Third Person Essay Example ~ Thatsnotus. 5 Ways to Write in Third Person - wikiHow. Top 3rd Person Essay ~ Thatsnotus. What Is Third Person? (with Examples) - English Grammar A To Z. Descriptive essay sample in third person. Third person narrative essay - First, Second, and Third-Person Points .... Essay Written In Third Person - What is writing in a Third Person and .... How to write a narrative essay in third person - 6 Ways to Write in .... ⚡ 3rd person examples. Examples of Third Person Writing From Classic .... Essay Written In Third Person - Writing Essays with a Consistent Point .... How to write a persuasive essay in 3rd person - Ashford Writing Free .... Third Person Essay Example. Persuasive Essay: Third person point of view essay example. School Essay: 3rd person narrative essay.
With our rapidly increasing and instantaneous access to information, it can be difficult to help people slice through the “data smog” and become fluent with information while critically assessing its value and purpose. This webinar introduces a variety of technical resources and research tools, and provides tips to help make learning more meaningful, engaging, and relevant, with the ultimate goal of providing learners with opportunities to create something new and exciting. The end goal is to help learners enrich their lives by constructing a personal learning environment, online or face-to-face, that is conducive to information discovery, sharing, and lifelong learning.
Presentation given at the HEA Social Sciences learning and teaching summit 'Exploring the implications of ‘the era of big data’ for learning and teaching'.
A blog post outlining the issues discussed at the summit is available via: http://bit.ly/1lCBUIB
Using Figure 1.2 in Ch. 1 of Exploring Research, create a flowchar.docxdickonsondorris
Using Figure 1.2 in Ch. 1 of Exploring Research, create a flowchart using Microsoft® Word or a similar program that helps you identify what research design to use for your research question.
Ch. 1 of Exploring Research The Role and Importance of Research
What you’ll Learn about in this Chapter:
· Who does research and why
· How research is defined and what some of its purposes are
· What a model of scientific inquiry is and how it guides research activities
· Some of the things that research is and some of the things that it isn’t
· What researchers do and how they do it
· The characteristics of good research
· How a method of scientific inquiry guides research activity
· The different types of research methods and examples of each
Say Hello to Research!
Walk down the hall in any building on your campus where social and behavioral science professors have their offices in such departments as psychology, education, nursing, sociology, and human development. Do you see any bearded, disheveled, white-coated men wearing rumpled pants and smoking pipes, hunched over their computers and mumbling to themselves? How about disheveled, white-coated women wearing rumpled skirts, smoking pipes, hunched over their computers, and mumbling to themselves?
Researchers hard at work? No. Stereotypes of what scientists look like and do? Yes. What you are more likely to see in the halls of your classroom building or in your adviser’s office are men and women of all ages who are hard at work. They are committed to finding the answer to just another piece of the great puzzle that helps us understand human behavior a little better than the previous generation of scientists.
Like everyone else, these people go to work in the morning, but unlike many others, these researchers have a passion for understanding what they study and for coming as close as possible to finding the “truth.” Although these truths can be elusive and sometimes even unobtainable, researchers work toward discovering them for the satisfaction of answering important questions and then using this new information to help others. Early intervention programs, treatments of psychopathology, new curricula, conflict resolution techniques, effective drug treatment programs, and even changes in policy and law have resulted from evidence collected by researchers. Although not always perfect, each little bit of evidence gained from a new study or a new idea for a study contributes to a vast legacy of knowledge for the next generation of researchers such as yourself.
You may already know and appreciate something about the world of research. The purpose of this book is to provide you with the tools you need to do even more, such as
Today, more than ever, decisions are evidence based, and what these researchers do is collect evidence that serves as a basis for informed decisions.
· develop an understanding of the research process.
· prepare yourself to conduct research of your own.
· learn how to ...
Analytic Process
Example Of Decision Analytic Models
Business Analysis : Business Analytics Essay
Personal Narrative-Analytic Essay
Analytic Summary
Analytical Reflection Essay
Analytic Rubric
Business Analytics
Inside Out Analytic Analysis
Analytic Synthesis Essay
Example Of Analytic Epidemiology
Macbeth Analytical Essay
Essay On Business Analytics
Big Data And Analytics Essay
Big Data and Data Analytics Essay
Data Analytic Analysis Paper Example
Analytic Rubrics
Website Analysis : Web Analytics Essay
Developing a Socially-Aware Engineering Identity Through Transdisciplinary Le...colin gray
In conjunction with the drive towards human-centered design in engineering education, questions arise regarding how students build and engage a socially-aware engineering identity. In this paper, we describe how students in a transdisciplinary undergraduate program struggle to engage with ontological and epistemological perspectives that draw on that social turn, particularly in relation to human-centered engineering approaches and sociotechnical complexity. We use a critical qualitative meaning reconstruction approach to deeply analyze the meaning-making assumptions of these students to reveal characteristic barriers in engaging with other subjectivities, and related epistemological and ontological claims implicit in these subjectivities. We conclude with implications for encouraging socially-aware identity formation in engineering education.
Opinion Dynamics on Generalized NetworksMason Porter
This is a talk on opinion dynamics (especially bounded-confidence models) on generalized networks.
It is part of the MIX-NEXT III (Multiscale & Integrative compleX Networks: EXperiments & Theories) satellite at NetSci 2022.
(Thursday 14 July 2022)
Topological Data Analysis of Complex Spatial SystemsMason Porter
These are slides from a seminar I gave in "Cardiff" (for the mathematics department at University of Cardiff) on 4/15/20.
You can also find a recording of a similar talk that I gave in March 2020 for MBI (Mathematical Biosciences Institute): https://mbi.osu.edu/events/online-colloquium-mason-porter-spatial-systems-and-topological-data-analysis
Here are my slides (though the animated gifs on a couple of them are stills in this version) of my talk on an introduction to the science of "chaos" at WorldCon 77 in Dublin, Ireland.
This is my attempt to give a gentle introduction to the notion of chaos to a science-fiction audience.
Paper Writing in Applied Mathematics (slightly updated slides)Mason Porter
Here are my slides (which I have updated very slightly) in writing papers in applied mathematics.
There will be an accompanying oral presentation and discussion on Friday 20 April. I am recording the video for that and plan to post it along with these (or a further updated version of these) slides.
Tutorial on Paper-Writing in Applied Mathematics (Preliminary Draft of Slides)Mason Porter
These are preliminary slides for a tutorial and discussion on "Writing Papers in Applied Mathematics" that I'll be giving at UCLA, first for a few of my own PhD students on 4/6 and later (on 4/20 ?) in a recorded session to a larger UCLA group.
Several people have expressed interest, so I will post the recorded session online and circulate it.
My talk at the 2017 SIAM "Snowbird" conference on applications of dynamical systems (#SIAMDS17).
I spoke in a session on topological data analysis (TDA). My talk concerned persistent homology and its application to Brexit data (including voting data) and "functional networks" from coupled time series from both experiments and output of dynamical systems.
Eventually, a version of these slides that is synchronized with the audio of my talk is supposed to be posted online.
Networks in Space: Granular Force Networks and BeyondMason Porter
This is my talk for the Network Geometry Workshop (http://ginestra-bianconi-6flt.squarespace.com) at QMUL on 16 July 2015.
(A few of the slides are adapted from slides by my coauthors Dani Bassett and Karen Daniels.)
These are slides for my tutorial talk on network dynamics. (The colors are fine in the downloaded version, though there seem to be color issues if you view the slides directly in slideshare.)
Slides from my talk on a systems-level investigation of long-term human migration in Korea. Our paper is available at the following page: http://journals.aps.org/prx/abstract/10.1103/PhysRevX.4.041009
I adapted these slides from the ones created by my coauthor Sang Hoon Lee.
These are the slides for a tutorial talk about "multilayer networks" that I gave at NetSci 2014.
I walk people through a review article that I wrote with my PLEXMATH collaborators: http://comnet.oxfordjournals.org/content/2/3/203
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
1. More generally: A discussion of ethics for data, research,
and publishing
Mason A. Porter (@masonporter)
Department of Mathematics
UCLA
2. § It’s important.
§ People need to be able to replicate our work.
§ Making sure their own code is correct
§ Natural self-correction in science (and ability to understand precisely every choice we
make in our work)
§ Not traditionally part of mathematical training, but increasingly we are using social
data — including potentially personal data — in our research
3. § We use a lot more real data nowadays, and in particular this includes a lot of human
(and animal) data.
§ Much less a part of the research (and thus training) tradition in mathematics than in other
disciplines
§ Other disciplines have thought a lot more about ethics than mathematics
§ In many cases, unfortunately, because they’ve messed up the ethics historically,
sometimes substantially, and we need to learn from the best practices they’ve developed
"Look, lady. Just because my grandfather didn't rape the
environment and exploit the workers doesn't make me a
peasant. And it's not that he didn't want to rape the
environment and exploit the workers; I'm sure he did. It's
just that as a barber, he didn't have that much opportunity."
– Roger Cobb [Steve Martin], All of Me (1984)
Thanks to Peter Mucha for
the quote suggestion (and
an excuse to allude to this
movie)
4. § Be honest and fair (obviously)
§ Design ethically thoughtful research
§ Explain your decisions to others
§ [Points 2 and 3 taken from slides by Matt Salganik]
5. FOUR PRINCIPLES
§ Respect for persons
§ (Note: Animal research also has thorny ethical issues!)
§ Beneficence
§ Justice
§ Respect for Law and Public Interest
How do you balance these four principles?
7. § If you are working with personal data, you need to check with your Institutional
Review Board (IRB) to ensure that you are doing the work in an ethical way.
§ They may tell you that you don’t need to submit a formal application, or they may tell you
that you do. Let them know briefly what data you have access to (or plan to acquire, and
how) and what you plan to do with it.
§ Different IRBs of course can rule differently.
§ Rules differ in different countries
§ Human data versus animal data
§ In these slides, I have human data in mind, but animal data and its acquisition of course also has
major ethical considerations.
§ Look through UCLA’s website for the Office of the Human Research Protection
Program (OHRPP): http://ora.research.ucla.edu/ohrpp/Pages/OHRPPHome.aspx
§ “IRB is a floor, not a ceiling” (from Matt Salganik’s slides)
8. § A well-known, heavily-used set of courses:
https://www.citiprogram.org/index.cfm?pageID=86
§ I found this from a link from UCLA’s OHRPP website.
§ Several years ago, I did some IRB training. (When preparing these slides, I couldn’t
find the specific online course I took.) In addition to helping to think about issues, if
something does go wrong, you do (from a practical point of view) want to be able to
say that you have appropriate ethics training.
§ Note:The training required/expected/available differs substantially across
countries.
§ Example: From my experience, my impression is that the UK appears to be less stringent
about human data than the US, but it appears to be more stringent about non-human
animals.
9.
10.
11.
12. § The more your research has the potential to violate personal privacy, the more
helpful for humanity the outcome needs to have the potential to be.
13. § Informed Consent
§ Understanding and managing informational risk
§ Privacy
§ Making decisions in the face of uncertainty
§ Other notes
§ Put yourself in everyone else’s shoes
§ Think of research ethics as continuous, not discrete (sliding scale)
Bullet points from Matt Salganik’s slides
14. § You must provide sufficient (and precise) detail for people to be able to replicate
your work!
§ Try to include it in your papers, but people are human, so if somebody e-mails you
to ask for a clarification, copy of code (even if poorly commented), or something
else, you should respond and send it to them, provide it’s something that you have
the right to send them.
15. § To the extent possible, you should publish your data and usable (and well-commented) code
along with your work.
§ There can be tension between these ideals and issues of personal privacy, nondisclosure agreements, and
so on.
§ If using synthetic data, publish code to generate the data and the generated examples that you
used in your paper.
§ Supplementary material for the paper on the journal website, Github, Figshare, and other venues
§ Likely relevant for literally all of you
§ E.g., if you are doing any numerical computations at all, this is desirable
§ E.g., adjacency matrices for graphs in a definition–theorem–proof paper is also useful for readers (though
level of necessity depends on how large the graphs are)
§ Admission: I have been trying to get better about this over the years. I am very good about
responding to e-mail queries, and the goal (though there exist practical considerations) is to be
precise about all of my steps and to put as much online as feasible.
16. § For empirical data, if you have permission to post something (e.g., does the data
“belong” to somebody else?) and it doesn’t invade privacy, you should post it
because that promotes good science.
17. § Alternative name:“replication crisis”
§ https://en.wikipedia.org/wiki/Replication_crisis
Take a look, e.g., at the work of Victoria Snodden:
http://web.stanford.edu/~vcs/
18. § Be explicit about anything you did, so that others can know what choices you made
and evaluate whether they think it is the best procedure for your analysis
§ E.g., sampling biases change properties of data
§ There are many reasons that one makes choices, so it’s not that you shouldn’t make
them, but it’s part of your scientific procedure, so tell people exactly what you did
so they know exactly what these choices were. (They may want to make different
choices.)
§ “Manipulating” is a loaded word; here I mean it in a neutral way (i.e.,“changes”),
rather than in a negative one.
19. § When are things actually “anonymous”
§ Is “full” anonymization even possible?
23. § Acknowledge all sources of data
§ Include precise means of how you got data and how somebody else can get the
data (e.g., who do they contact?), especially if there is a reason that you are unable
to post the data itself
§ Be generous when acknowledging people in papers: useful discussions, ideas, etc.
§ Be fair and appropriate when discussing work by authors in past papers
§ You are standing on the shoulders of giants. :) Given credit where it is due.
§ Difference between somebody “showing” something in a past paper versus “reporting” it.
The former is a statement of verifying validity; the latter is a historical fact (assuming what
you write is accurate).
24. § There can be complications in posting data to the public, no matter how well-
intentioned.
§ This is a great data set to advance several avenues of research in network science, and my goal
is for people to be able to do that.
§ Learning the hard way
§ Urgently arranging a phone meeting with the head of Facebook’s Data Science team
§ An important learning experience for me
§ A small chapter in the long story of data privacy
§ A blog entry that is very critical of me (though this differs from my side of the story):
http://www.michaelzimmer.org/2011/02/15/facebook-data-of-1-2-million-users-from-2005-
released/
§ Led to my learning much more about these issues (though under very stressful circumstances),
a page about research using human data in Oxford’s Mathematical Institute, etc.
§ https://www.maths.ox.ac.uk/members/policies/data-protection/research-using-data-involving-humans
25. § Research in collaboration with companies or government:What is it ok to include
in a publication or post online?
§ Tension between open data and personal privacy
§ Terms-of-service agreements and nondisclosure agreements
§ In what sense can you replicate work if you can’t post everything?
§ “Softer” replication: do you observe similar phenomena in circumstances that have some
similarities but are not the same?
§ E.g., human behavior in different social networks
26. § See, e.g., the discussion around this paper:
http://science.sciencemag.org/content/early/2015/05/06/science.aaa1160.full
§ Eytan Bakshy, Solomon Messing, & Lada Adamic, Exposure to ideologically diverse news
and opinion on Facebook, Science, 2015
§ They can’t tell us Facebook’s sampling algorithm, so how are we as scientists going to go
about “replicating” their work?
§ Note: Do their insights apply to other online social networks? One should be able to do a weaker
form of replication such that the most interesting qualitative results are not merely a property of
specifics on Facebook
§ Also:What about this work being public versus being entirely within Facebook and
us never seeing any of it?
27. § A. D. I. Kramer, J. E. Guillory, and J.T. Hancock. Experimental evidence of massive-
scale emotional contagion through social networks. Proceedings of the National
Academy of Sciences of the United States of America, 111(24):8788–8790, 2014
§ Look up articles on this one
§ Experiments on Facebook with changes in people’s feeds
§ Also:What about this work being public versus being entirely within Facebook and
us never seeing any of it?
Note: Academic researchers have IRBs that need to approve a study before it starts, whereas
Facebook has a publication review board to approve publication of a study after it's already been
done.Thus, we know that this study occurred because FB concluded that it could be published.
We don’t know about what stuff is done with our data from FB and other companies when it
doesn’t get published.
29. § You can apply this comment generally to “data science” if you like, though the
property of connectivity in networks provides substantial additional issues beyond
just data science (and “Big Data”, etc.).
30. § Short essay by Johan Ugander (Management Science & Engineering, Stanford):
https://medium.com/@jugander/truth-lies-and-an-ethics-of-personalization-
e4ccfa7f2b84#.rzap3hm70
§ As an example, he discusses “Cambridge Analytica, identified by the NY Times as
the hired guns behind Trump’s online targeting.”
§ Alexander Nix (CEO of CA) gave the following example in a video. Quoting
Ugander’s essay:“if you own a private beach, he notes, you’d have more success
keeping people off your beach by putting up a “Warning: sharks beyond this point”
sign vs. a “private property” sign.The problem is: he recommends this strategy —
and personalized versions of it — without any consideration to whether there
actually are any sharks, advocating “behavioral communication” that is completely
detached from any truth about reality. In fewer words: crafting lies, and then
targeting them.”
31. § http://callingbullshit.org
§ Full title:“Calling Bullshit in the Age of Big Data”
§ A course designed by Carl Bergstrom and Jevin West (University of Washington)
§ Excellent syllabus and reading materials
§ Various parts of it relate to ethics, and they also have a unit directly about ethics:
http://callingbullshit.org/syllabus.html#Ethics
32. § Targeted advertising (different trailers for people of different races) for the movie
"Straight outta Compton": http://www.businessinsider.com/why-straight-outta-
compton-had-different-trailers-for-people-of-different-races
§ Different levels of prior familiarity with gangsta rap pioneers N.W. A. (Ice Cube, Dr. Dre, etc.)
§ Papers by Arvind Narayanan and collaborators, including:
§ http://senglehardt.com/papers/ccs16_online_tracking.pdf
§ https://5harad.com/papers/twivacy.pdf
§ J. Su et al.,“De-anonymizing Web Browsing Data with Social Networks”, 2016
§ C. Kanich et al.,“Spamalytics: An Empirical Analysis of Spam Marketing Conversion”
(2008):
§ http://www.umiacs.umd.edu/~tdumitra/courses/ENEE757/Fall14/papers/Kanich08.pdf
§ B. Markines et al.,“Social spam detection” (2009):
§ http://dl.acm.org/citation.cfm?doid=1531914.1531924
33. § “Tastes,Ties, and Time” Facebook data set
§ One discussion about the controversy associated with this data set:
http://www.chronicle.com/article/Harvards-Privacy-Meltdown/128166/
§ Research by Sinan Aral and collaborators on manipulation of voting on social
media sites
§ One discussion: https://techcrunch.com/2013/08/11/reddit-science-herd/
34. § Mathematicians are relatively new to using human data, but we don’t yet have the
ethics training to help us deal with the thorny issues
§ Learn from the best practices (and past mistakes) from other disciplines
§ As in those other disciplines, mathematicians should be getting ethics training
§ Read about — and think about and discuss — various controversies and other
studies.We all may set our bars in a different place, but we need to do it
conscientiously.
§ It’s a sliding bar: the more potential for invasion of personal privacy, the more valuable
the potential outcome has to be for humanity
§ IRB approval is only a lower bound
35. § While I have more training and experience with these issues than most
mathematicians, I am very much an amateur on data ethics compared to people
from the social and human sciences, for whom this is a standard part of the training
from the beginning of their education.
§ With this in mind, please contact me with any suggestions on these slides. Did I
miss any salient points? Do you disagree with any of the discussed points? Are
there any other studies that are especially crucial to bring up?
§ Eventually, I hope to develop these slides further into an article for a venue in the
mathematical sciences. Let me know if you are interested in being involved in
writing this article.
36. § Several suggestions for resources from Johan Ugander
§ Several comments on my slides and suggestions for resources from Peter Mucha
§ Website from Matt Salganik’s class on Computational Social Science (Fall 2016):
http://www.princeton.edu/~mjs3/soc596_f2016/
§ I drew some material and ideas from his slides on ethics
§ It would be pretty ironic if I plagiarized these slides, wouldn’t it?