But recent events have made me question the prudence of releasing this information, even for research purposes. The arrest and aggressive prosecution of Barrett Brown had a marked chilling effect on both journalists and security researchers.

This all comes as part of a wider global shift towards more open research practices, and the geochemistry community needs to make sure it is engaging widely with these, as well as connected issues like research integrity and reproducibility, if it is to maintain its relevance in the modern research age.

LitCovid: Curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus .t3_fp7epr ._2FCtq-QzlfuN-SwVMUZMM3 { --postTitle-VisitedLinkColor: #9b9b9b; --postTitleLink-VisitedLinkColor: #9b9b9b; } methods and toolshttps://www.ncbi.nlm.nih.gov/research/coronavirus/LitCovid is a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus. It is the most comprehensive resource on the subject, providing a central access to 1724 (and growing) relevant articles in PubMed. The articles are updated daily and are further categorized by different research topics and geographic locations for improved access. You can read more at Chen et al. Nature (2020) and download our data here.

LitCovid is a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus. It is the most comprehensive resource on the subject, providing a central access to 1737 (and growing) relevant articles in PubMed. The articles are updated daily and are further categorized by different research topics and geographic locations for improved access. You can read more at Chen et al. Nature (2020) and download our data here.

Research in Educational Technology

Ways forward

Social media research ethics faces a contradiction between big data positivism and research ethics fundamentalism. Big data positivists tend to say, ‘Most social media data is public data. It is like data in a newspaper. I can therefore gather big data without limits. Those talking about privacy want to limit the progress of social science’. This position disregards any engagement with ethics and has a bias towards quantification. The ethical framework Social Media Research: A Guide to Ethics (Townsend and Wallace, 2016) that emerged from an ESRC-funded project tries to avoid both extremes and to take a critical-realist position: It recommends that social scientists neither ignore nor fetishize research ethics when studying digital media.Research ethics fundamentalists in contrast tend to say,You have to get informed consent for every piece of social media data you gather because we cannot assume automatic consent, users tend not to read platform’s privacy policies, they may assume some of their data is private and they may not agree to their data being used in research. Even if you anonymize the users you quote, many can still be identified in the networked online environment.

Research ethics concerns issues, such as privacy, anonymity, informed consent and the sensitivity of data. Given that social media is part of society’s tendency to liquefy and blur the boundaries between the private and the public, labour/leisure, production/consumption (Fuchs, 2015a: Chapter 8), research ethics in social media research is par-ticularly complex.

One important aspect of critical social media research is the study of not just ideolo-gies of the Internet but also ideologies on the Internet. Critical discourse analysis and ideology critique as research method have only been applied in a limited manner to social media data. Majid KhosraviNik (2013) argues in this context that ‘critical dis-course analysis appears to have shied away from new media research in the bulk of its research’ (p. 292). Critical social media discourse analysis is a critical digital method for the study of how ideologies are expressed on social media in light of society’s power structures and contradictions that form the texts’ contexts.

Besides conducting qualitative social research with social media users in order to learn about their experiences, interpretations and perspectives, critical digital methods should not completely discard tools for digital data collection and analytics but take their use into a new direction. Critical digital methods should certainly engage in collecting and analys-ing samples of data from social media platforms with the help of tools and services, such as DiscoverText, Tweet Archivist, Netvizz, NodeXL, Gephi, NCapture/NVivo, Sodato, Import.io, InfoExtractor, Google Web Scraper, TAGS, SocioViz and so on.

t has, for example, been common to study contemporary revolutions and protests (such as the 2011 Arab Spring) by collecting large amounts of tweets and analysing them. Such analyses can, however, tell us nothing about the degree to which activists use social and other media in protest communication, what their motivations are to use or not use social media, what their experiences have been, what problems they encounter in such uses and so on. If we only analyse big data, then the one-sided conclusion that con-temporary rebellions are Facebook and Twitter revolutions is often the logical conse-quence (see Aouragh, 2016; Gerbaudo, 2012). Digital methods do not outdate but require traditional methods in order to avoid the pitfall of digital positivism. Traditional socio-logical methods, such as semi-structured interviews, participant observation, surveys, content and critical discourse analysis, focus groups, experiments, creative methods, par-ticipatory action research, statistical analysis of secondary data and so on, have not lost importance. We do not just have to understand what people do on the Internet but also why they do it, what the broader implications are, and how power structures frame and shape online activities

Studying digital and social media could take inspiration by the tradition going back to Karl Marx and other critical theorists

Who communicates what to whom on social media with what effects? It forgets users’ subjectivity, experiences, norms, values and interpre-tations, as well as the embeddedness of the media into society’s power structures and social struggles. We need a paradigm shift from administrative digital positivist big data analytics towards critical social media research. Critical social media research combines critical social media theory, critical digital methods and critical-realist social media research ethics.

de-emphasis of philosophy, theory, critique and qualitative analysis advances what Paul Lazarsfeld (2004 [1941]) termed administrative research, research that is predominantly concerned with how to make technologies and administration more efficient and effective.

There is a tendency in Internet Studies to engage with theory only on the micro- and middle-range levels that theorize single online phenomena but neglect the larger picture of society as a totality (Rice and Fuller, 2013). Such theories tend to be atomized. They just focus on single phenomena and miss soci-ety’s big picture

scientific laboratories create an amazing amount of plastic waste, consume large amounts of water, create risks from hazardous chemicals and use significantly more energy

I use this to keep information about processes that were running at any time during last five days. These are 1-min snapshots so something might get lost but I think it is good enough for me. I want to have some data available when I discover there was a peak in resource usage (I use munin for that). I haven't found a better way to keep track of past processes (tried psacct).

0:11 / 12:00LiveScroll for details M2 Research Categorization

Summarizing a paper in your own words restructures the content to focus on learning rather than novelty.

Blogging has taught me how to read a paper because explaining something is a more active form of understanding. Now I summarize the main contribution in my own words, write out the notation and problem setup, define terms, and rederive the main equations or results. This process mimics the act of presenting and is great practice for it.

When I first started teaching myself to program, I felt that I had no imagination. I couldn’t be creative because I was too focused on finding the syntax bug or reasoning about program structure. However, with proficiency came creativity. Programming became less important than what I was building and why.

In my opinion the reason most people fail to do great research is that they are not willing to pay the price in self-development. Say some new field opens up that combines field XXX and field YYY. Researchers from each of these fields flock to the new field. My experience is that virtually none of the researchers in either field will systematically learn the other field in any sort of depth. The few who do put in this effort often achieve spectacular results.

Many of us have done this on exams, hoping for partial credit by stitching together the outline of a proof or using the right words in an essay with the hopes that the professor connects the dots for us.

L-T3 has proven to be 4-5 times more biologically active and to take effect more quickly than L-thyroxine (L-T4).

In almost all cases the genetic basis of RTH lies in mutation of the carboxyl-terminus of the ß-thyroid hormone receptor. RTH is a dominant disorder, except in one family; most individuals are heterozygous for the mutant allele.

Wikipedia:Articles for deletion/Katie Bouman

Any relevant material can be mentioned there

of WP:1E

Someone who isn't even an assistant professor is certainly not notable as a scientist.

Wikipedia:Notability is not inherited.

The Event Horizon Telescope project is notable in itself, and has its own article, but anyone who are in some way (remotely) associated with it are not inherently notable.

Wikipedia:Articles for deletion/Katie Bouman • en.wikipedia.org

Through a process called rehashing, rbenv maintains shims

The Research Parasite Awards

2019 Research Parasite Awards

One of the key critiques of the study is that the researchers didn’t log in. That is to say that they could not experience the full impact of the algorithm as it impacts their findings.

OPP1151904

Fourth, inoffering examples of how the tools have been used, I encouragethought about how the tools might be used in other educationalresearchers’ work

A 2009 study of Wikipedia found that most weasel words in it could be divided into three main categories:[13] Numerically vague expressions (for example, "some people", "experts", "many", "evidence suggests") Use of the passive voice to avoid specifying an authority (for example, "it is said") Adverbs that weaken (for example, "often", "probably")

The sodium-restricted diet group received a regimen aiming a maximum intake of 3 g of sodium per day (equivalent to 7.5 g of sodium chloride).

This repo attempts to show how neutrino config can be used to configure storybook

“Why don’t you assume you’ve written your book already — and all you have to do now is find it?”

Here’s Stephen Harrigan (talking about his book, Big Wonderful Thing: A History of Texas)

In my experience writing books, it isn’t just a “resistance” thing or a “perfectionist” thing or a fear thing, it’s more about research and wondering if you’ve done enough of it. Research becomes your way of procrastinating, because, let’s face it, research is just more fun than writing. (Me, personally, I became a professional writer so I could be a professional reader.)

There’s an awful temptation to just keep on researching. There comes a point where you just have to stop, and start writing. When I began, I thought that the way one should work was to do all the research and then write the book. In time I began to understand that it’s when you start writing that you really find out what you don’t know and need to know.

Wchodziło długo, prawdziwie odurzony byłem po godzinie. Stan, w którym się znalazłem można określić jednym słowem, ale pisanym koniecznie z wielkiej litery: Spokój. Wielki Spokój, jakby nic złego nigdy się nie działo, jakby moje wnętrze było boską harmonią, idealnie zestrojoną z zachwycającym światem wokół. Myślałem i mówiłem bardzo trzeźwo: być może tak trzeźwo, jak nigdy: wyzbyty bowiem byłem z najmniejszych śladów niepewności, wstydu, nerwów, kompleksów... Było tak, jakbym znalazł w umyśle właściwe drzwiczki, tej najwygodniejszy pokój i rozłożył się w nim, delektując się (w nienarcystyczny sposób) sobą, swoim byciem i byciem, które mnie otaczało: świata, przedmiotów, światła, ludzi, Krzyśka, Andrzeja. Wszystko było dobre, a jeśli nie było - nie było godne uwagi. Zdumiewała mnie refleksja nad idiotyzmem wielkiej części moich codziennych zmartwień, wszystkich tych mniejszych i większych narcyzmów, skupienia na naskórku rzeczywistości. Andrzej w międzyczasie znalazł się w bardzo podobnym stanie, tylko, że połączonym z OEVami (opened eyes' visuals), do tego mówił dużo, gestykulując i intonując jak dziecko: "Przecież to wszystko takie proste...! Takie proste! A ludzie się przejmują!".

Units of analysis, then, are those things we examine in arder to create summary descriptions of ali such units and to explain differences among them

Units of Analysis

A given variable can sornetimes be measured at different levels. When in doubt, researchers should use the highest leve! of rneasurement ap-propriate to that variable so they can capture the greatest amount of information.

The Importance of Variable Names

Conceptions, Concepts, and Reality

Checklist: Theoretical Framework

Concepts often have multiple definitions, so the theoretical framework involves clearly defining what you mean by each term

In your thesis or dissertation, the theoretical framework is where you define, discuss and evaluate theories relevant to your research problem.

Sample theoretical framework

recruiting volunteers

Conceptualization is the process of specifying observations and measurements that give concepts definite meaning for the purposes of a research study.

Concepts are constructs; they represent the agreed-on meanings we assign to terms