data Powerhouse utilizes Arcitecta?s Advanced Data Management Platform as its new digital asset management solution? By www.kmworld.com Published On :: Wed, 26 Jun 2024 10:05:31 EST Arcitecta extends its reach to the museum and cultural asset market Full Article
data Versium releases free Dedupe Tool for simplifying customer data management By www.kmworld.com Published On :: Mon, 11 Nov 2024 12:30:13 EST Versium's Dedupe allows users to compare data points across various fields Full Article
data Free Data Recovery Solutions for Small Businesses By smallbiztrends.com Published On :: Tue, 12 Nov 2024 22:40:14 +0000 Sometimes, data loss just happens. When it does, here are some free data recovery tools that could help you get back your lost data. Full Article Technology Trends Software and Apps
data SCCMPod-442 Continuous Prediction of Mortality in the PICU: A Recurrent Neural Network Model in a Single-Center Dataset By sccm-audio.s3.amazonaws.com Published On :: Thu, 2 Sep 2021 18:18:58 UTC As a proof of concept, a recurrent neural network (RNN) model was developed using electronic medical record (EMR) data capable of continuously assessing a child's risk of mortality throughout an ICU stay as a proxy measure of illness severity. Full Article Medicine
data She wants to know what are best practices on flagging bad responses and cleaning survey data and detecting bad responses. Any suggestions from the tidyverse or crunch.io? By statmodeling.stat.columbia.edu Published On :: Sun, 13 Oct 2024 13:36:03 +0000 A colleague who works in a field that uses a lot of survey research asks: Can you recommend papers about detecting bad survey responses? We have some such methods where I work, but I’m curious what the Census Bureau and … Continue reading → Full Article Miscellaneous Statistics Political Science Public Health Sociology
data Here is the Data Sharing Statement, in its entirety, for van Dyck CH, Swanson CJ, Aisen P, et al. Trial of Lecanemab in Early Alzheimer’s Disease. N Engl J Med. DOI: 10.1056/NEJMoa2212948. By statmodeling.stat.columbia.edu Published On :: Wed, 16 Oct 2024 13:06:27 +0000 Data-share this, pal: As the man said, you have no obligation to share any of your data and I have no obligation to believe anything you say. Full Article Decision Analysis Public Health Zombies
data Here is the Data Sharing Statement, in its entirety, for Goodwin GM, Aaronson ST, Alvarez O, et al. Single-Dose Psilocybin for a Treatment-Resistant Episode of Major Depression. N Engl J Med. DOI: 10.1056/NEJMoa2206443. By statmodeling.stat.columbia.edu Published On :: Wed, 16 Oct 2024 13:32:11 +0000 As forwarded to us by Max Shepsi: I’m starting to see a pattern here! Full Article Decision Analysis Public Health Zombies
data Columbia Surgery Prof Fake Data Update . . . (yes, he’s still being promoted on the university webpage) By statmodeling.stat.columbia.edu Published On :: Fri, 18 Oct 2024 00:11:03 +0000 Someone pointed me to this news article with the delightful url, https://www.nytimes.com/2024/10/16/science/sam-yoon-columbia-cancer-surgeon-5-more-retractions.html: Columbia Cancer Surgeon Notches 5 More Retractions for Suspicious Data The chief of a cancer surgery division at Columbia University this week had five research articles retracted and … Continue reading → Full Article Zombies
data Stan Playground: Run Stan on the web, play with your program and data at will, and no need to download anything on your computer By statmodeling.stat.columbia.edu Published On :: Thu, 31 Oct 2024 13:03:45 +0000 Just in time for Halloween, we have a scarily effective implementation of Stan on the web, full of a veritable haunted house of delicious treats. Brian Ward, Jeff Soules, and Jeremy Magland write: Stan Playground is a new open-source, browser-based … Continue reading → Full Article Bayesian Statistics Stan Statistical Computing Teaching
data Should pollsters preregister their design, data collection, and analyses? By statmodeling.stat.columbia.edu Published On :: Sun, 03 Nov 2024 22:40:12 +0000 There are actually two questions here: 1. Should pollsters share all the information on their design, data collection, and analyses? 2. If yes on question 1 above, should this information be made public ahead of time, before the survey is … Continue reading → Full Article Miscellaneous Science Political Science Sociology
data Fake data on the honeybee waggle dance, followed by the inevitable “It is important to note that the conclusions of our studies remain firm and sound.” By statmodeling.stat.columbia.edu Published On :: Thu, 07 Nov 2024 14:26:28 +0000 I hadn’t thought about bee dancing for a long time, when someone pointed me to this post by Laura Luebbert and Lior Pachter on a bit of data fraud in biology. Luebbert writes: Four years ago, during the first year … Continue reading → Full Article Miscellaneous Science Sociology Zombies
data Help teaching short-course that has a healthy dose of data simulation By statmodeling.stat.columbia.edu Published On :: Mon, 11 Nov 2024 17:15:36 +0000 This post is by Lizzie. I hope you like the cats photo from this summer. I do. I am looking for help. I decided to change my term course (12-14 weeks-long) on `introduction to Bayesian modeling with some hierarchical modeling’ … Continue reading → Full Article Bayesian Statistics Teaching fake data teaching
data Alternative narratives for data activism and data literacy By densitydesign.org Published On :: Wed, 27 Apr 2022 07:01:55 +0000 This track investigates and explores ways to make visible the... more Full Article
data WCC Activates Web-Based Data Entry App for DRG Reports By ww3.workcompcentral.com Published On :: Fri, 09 Aug 2024 00:00:00 -0700 The Nebraska Workers’ Compensation Court activated its web-based data entry application for diagnostic related group reports. The Nebraska Workers’ Compensation Act requires covered hospitals, workers’ compensation insurers, self-insured employers and risk… Full Article
data Finding the rare sandhills cellophane bee – with data By blog.wfsu.org Published On :: Tue, 07 May 2024 18:59:15 +0000 We use iNaturalist data to help find the sandhills cellophane bee. Researchers are looking for nesting sites for the rare bee. Full Article Longleaf Pine & Fire Ecology Pollinators and Gardening Wildlife in North Florida- Critters Big and Small Florida native bees iNaturalist sandhills habitat
data Data and Doctors: A Prescription for Workers' Compensation By ww3.workcompcentral.com Published On :: Wed, 18 Jul 2018 11:04:38 -0700 This program focuses on how to use data. Linda Lane will share a strategy that builds a customized network that achieved the "Triple Aim" of workers' compensation - which is… Full Article
data New data show both improvement and concerning trend in youth tobacco use By newsroom.heart.org Published On :: Thu, 05 Sep 2024 17:39:00 GMT DALLAS, September 5, 2024 — The American Heart Association, which is celebrating 100 years of lifesaving service as the world’s leading voluntary organization focused on heart and brain health, issued the following statement in response to the 2024... Full Article
data Why Data Professionals Choose Power BI Service for Data Analytics Needs? By www.smashingapps.com Published On :: Mon, 04 Nov 2024 19:40:26 +0000 Discover why you should choose Power BI Service for seamless data visualization, sharing, and collaboration. Ideal for data professionals, analysts, and teams. Full Article Point of View
data Introducing Metadata Variables in Auphonic By auphonic.com Published On :: Tue, 04 Apr 2023 05:56:13 +0000 We've listened to your feedback and are excited to announce the introduction of metadata variables in Auphonic for more advanced use of our Basic and Extended Metadata. This new feature allows you to use metadata fields from your input files to automate workflows. You can easily reference any field by using { curly brackets } and typing the field name, such as {title}, {artist}, {album}, {track}, and more. To get started, take a look at our Formatting Examples and the Table of all Variables to see all the available options. Whether you are using the Auphonic Web Service or our API, metadata variables can be applied whenever metadata values are set. They are particularly helpful when working with Presets, Batch Productions, or Watch Folders! For instance, consider the left column of the following table as input ending up in the metadata as shown in the right column: Field Input Output Album MyPodcast MyPodcast Track 25 25 Title Episode No. {track} of {album}! Episode No. 25 of MyPodcast! Note: Please mind that fields can not refer to each other in cycles (e.g., if {title} refers to {album}, {album} may not refer to {title}). While the input form will not show any errors, the metadata will most likely not be correct and the production will generate a warning. Formatting Examples 1. Generating Output File Basenames With metadata variables you can automatically generate your output file basename based on the input filename and podcast metadata, like album, track, and title. If you have, for example, a podcast preset or input file with the album name "The Placeholder Podcast", you can automatically name your episode title like your input filename. By combining the metadata variables "album" name and your generated episode "title" with any text patterns, like "denoised" in this case, you can create your individual output file basename: Field Input Output Album The Placeholder Podcast The Placeholder Podcast Title {input_filename} interview_jane_doe.wav Output File Basename {album}-{title}-denoised The Placeholder Podcast-interview_jane_doe.wav-denoised The next example shows how you can create truly unique output file basenames with timestamps. Here, a track number is, together with the input file basename, added up as episode title. So, your unique output file basename could be a combination of this generated episode title with the time and date, when your Auphonic production was started: Field Input Output Input File Basename interview_jane_doe interview_jane_doe Track 25 25 Title {track}{input_basename} 25interview_jane_doe Output File Basename {title}_{production_created_at:%H:%M_%m/%d} 25interview_jane_doe_19-05_01-30 See example 3 for more time formatting examples, and this table for the full list of symbols that can be used for formatting dates. 2. Deriving "Title" and "Summary" from Podcast Metadata If the input file metadata contains a track number (alternatively, provided by API or web form), it can be referenced in other fields. Along with the name of the podcast, stored in the "album" field, a value for the title can be created as well as a value for a summary containing all the information: Field Input Output Track 25 25 Album The Placeholder Podcast The Placeholder Podcast Tags Anniversary Anniversary Title {album}, Episode No. {track} The Placeholder Podcast, Episode No. 25 Summary {title} - {tags.0} The Placeholder Podcast, Episode No. 25 - Anniversary 3. Adding Time and Date The following time and date example outputs would be possible for a production created at 7:05 pm on Saturday, January 30th in 1999: Field Input Output (any) example-{production_created_at} example-1999-01-30 (any) podcast-{production_created_at:%H:%M-%m/%d/%Y} podcast-19:05-01/30/1999 (any) output-{production_created_at:%I:%M%p-%m%d%y} output-7:05PM-013099 (any) record-{production_created_at:%a-%Y-%b-%d} record-Sat-1999-Jan-30 See this table for the full list of symbols that can be used for formatting dates. 4. Using List Field "Outputfiles" For the list fields "tags", "chapters", "outputfiles", and multitrack "input_filename/basename", you need to reference every value separately by adding .N to your variable – Where N stands for ascending ordinal numbers starting from 0. Combined with the .N you can refer to the format, bitrate, suffix, and ending of every selected output file, for example {outputfiles.0.format} refers to the format of the first output file in your list of outputfiles: Output File 1 – format: WAV 16-bit PCM, bitrate: optimal, suffix: lossless, ending: wav Output File 2 – format: MP3, bitrate: 112 kbps, suffix: lossy, ending: mp3 Field Input Output (any) file1-{outputfiles.0.suffix}-{outputfiles.0.ending} file1-lossless-wav (any) file2-{outputfiles.1.format}-{outputfiles.1.bitrate}kbps file2-lossy-mp3-112kbps (any) file2-bitrate-{outputfiles.1.bitrate:04} file2-bitrate-0112 The bitrate output of the last row is formatted with 4 digits, defined by the suffix :04 attached to the variable. For all available options, please see the Table of List Variables. All Metadata Variables The following variables are available: Variable Referring to Field {input_filename} Full filename of the input file in a singletrack production {input_basename} Basename of the input file in a singletrack production (inputfile.wav becomes inputfile) {title} Title {artist} Artist {album} Album {track} Track {genre} Genre {year} Year {subtitle} Subtitle {publisher} Publisher {url} URL {license} License (Copyright) {license_url} License URL {summary} Summary (Description) {output_basename} Output File Basename {production_created_at} Time and date of production creation {production_modified_at} Time and date of production modification List Variables Referring to List Field {input_filename.N} Full filename of the input file of N-th track in a multitrack production {input_basename.N} Basename of the input file of N-th track in a multitrack production (inputfile.wav becomes inputfile) {tags.N} N-th Element in Tags {chapters.N.start} Start time of N-th Chapter {chapters.N.title} Title of N-th Chapter {chapters.N.url} URL of N-th Chapter {chapters.N.image} Image file name of N-th Chapter {outputfiles.N.format} Format of N-th Output File {outputfiles.N.bitrate} Bitrate of N-th Output File {outputfiles.N.suffix} Suffix of N-th Output File {outputfiles.N.ending} Format ending of N-th Output File For detailed use, please see Formatting Examples. Conclusion Metadata Variables are a powerful tool for organizing your productions whenever metadata values are set. Those field references are very convenient when distinguishing between different files at a glance, particularly when working with Presets, Batch Productions, or Watch Folders. Please do not hesitate to contact us if you have any questions or feedback! Full Article News
data Data Cuisine: Barcelona By well-formed-data.net Published On :: Fri, 23 May 2014 11:33:49 +0000 I am *ridiculously* excited to announce a new edition of data cuisine workshop. This time, it is the Data Cuisine Workshop Barcelona! The workshop is happening in coordination with CCCB, the Big Bang Data exhibition, and Sónar. For the culinary side of the project, we will collaborate with Sebastian Velilla — a chef who has […] Full Article Announcements barcelona data cuisine workshop
data Data Cuisine Workshop Barcelona: The results By well-formed-data.net Published On :: Thu, 19 Jun 2014 09:17:02 +0000 The Data Cuisine Workshop Barcelona was fantastic, we had a really great time. Big thanks to my collaborators Dr. Susanne Jaschko and Sebastian Velilla, thanks to Jose Luis de Vicente and Olga Subiros for bringing us over, and last but not least for our great participants for the crazy dish ideas they came up with! […] Full Article Personal barcelona data cuisine
data OECD Data Portal By well-formed-data.net Published On :: Thu, 03 Jul 2014 21:15:35 +0000 A few notes on a new, big project I have been involved with: The OECD Data Portal is now in public beta. It is still a bit rough around the edges, but we are excited to see the full website in its entirety. The main design credit goes to Raureif, and the UI implementation has […] Full Article Announcements data portal oecd
data The Internet of Things in Logistics: Real-Time Data for Enhanced Visibility By cssdeck.com Published On :: Thu, 01 Aug 2024 14:19:46 +0000 The logistics industry has experienced a meaningful changeover with the appearance of the Internet of Things (IoT). By enabling real-time data collection and analysis, IoT has supplied new visibility into logistics operations. This raised visibility is key for keeping up [...] Read Article The post The Internet of Things in Logistics: Real-Time Data for Enhanced Visibility first appeared on CSS Reset. Full Article Uncategorized
data Use Behavioral Analytics Data to Make Your Site More Effective By www.viget.com Published On :: Tue, 10 Sep 2024 10:00:00 -0400 Behavioral analytics are a great way to get a sense of what users are or are not doing on your website or app. While behavioral analytics may not provide insights into why users are behaving a certain way, this method does provide a quick and cost-effective way to see what your users are currently doing at scale. Knowing how your users are engaging with your website or product can help you make informed decisions that have a positive impact on engagement and conversions.Here at Viget, we use behavioral analytics data for a number of use cases:Our client has a specific question about a certain aspect of their website or app (e.g., a specific user flow or content type) and wants to learn more about how and when users are engaging. We are redesigning a client’s website and want to get a sense of where the current experience is excelling or falling short.We are conducting an annual analysis to help clients keep an eye on potential areas of growth or stagnation. We are reviewing behavioral changes on a site or app after launching a new experience or feature to assess performance.But what kind of insights can you expect to find from behavioral analytics data? It ultimately depends on the website or app, the users, and the kinds of questions you are asking, but let’s go through a few different examples of what kind of information you can gain from behavioral analytics tools.Who is using your website or product?Understanding who is using your website can provide helpful context on your user base and potentially unlock growth with new user groups you may have been unaware of. To investigate this, we may look at geographic location, language, device type, and any other demographic information that may be available. Sometimes this kind of data provides what I like to call descriptive information—information that often doesn’t feel immediately actionable but can become more useful relative to other data points. This could come from comparing your data to last year, to industry standards, to other content on the website, or it might come from comparing it to an assumption that an individual or organization holds. Here are some examples of findings that shed light on who was using the website or product:✦32% of sessions were from users outside the United States. Through a previously conducted survey, we were aware that some users were looking for content that was not specific to the United States. This metric helped us better gauge the size of that need.✦97% of Canadian sessions interacted with the website in English, with only 3% of Canadian sessions using French. We were unsure to what degree French content needed to be prioritized and this metric helped provide a sense of scale.✦15% of searches were conducted on a mobile device. Although 15% may seem low, this metric was actually higher than expected because there were known issues with the mobile search experience. This demonstrated that even though the mobile experience was harder to use than the desktop version, users were still inclined to use it, further illustrating the importance of improving the mobile experience. How do users get to your website or product?Knowing how users navigate to your website or product can highlight what traffic sources are particularly effective in driving conversions, but it can also help to provide important context on user expectations or goals. To understand this, we look at both the source/medium that brought them to the website as well as the first page they viewed. For example, users might:Come from google and land on a blog articleGo directly to your home pageCome from an email referral to a donation page Learn about you from ChatGPT and land on your About pageFrom there, we might look at engagement rate, conversion rates, or other metrics to get a sense of what these users are doing and whether anything stands out as particularly effective or ineffective. Here are some examples of acquisition insights that informed our understanding and approach:✦Only 10% of sessions started on the home page, with most users starting much deeper in the site on content-specific pages. Because only a small portion of users entered on the homepage, we could not solely rely on homepage messaging to orient users to the site. This highlighted the importance of providing sufficient context on any page of the site to ensure that users navigate to their desired content, regardless of what page they land on.✦Although the paid ads were effective in driving users to the website, those sessions had abnormally high bounce rates, with one traffic source having a 95% bounce rate. This indicated a potential mismatch between what users expected based on the ad, and what was actually on the page.✦Organic search brought in a large amount of new traffic to their site through the blog pages and while users engaged with the blog content, they were not engaging with the CTAs. Because these new users were potentially learning about this organization for the first time, the donation CTAs were likely not the best fit, and we recommended shifting the CTAs on those pages to focus more on learning about the organization.What content or features do users engage with?Here is where we start to get to the meat of what your users are actually doing on your website or product. Knowing what users are doing and what they’re not using can help to establish priorities and inform decisions. You might be surprised to learn that users are actually engaging with specific features or content quite a bit, but others are barely used. If the content or feature is surprisingly popular, then we likely don’t want to outright remove it and may instead consider iterating or leveraging that offering more. If users aren’t engaging with content or a feature, it may be worth considering the effort to maintain and iterate on that offering. Here are some examples of engagement insights that helped us identify opportunities related to content or features:✦Less than 1% of users were engaging with a particular feature. These same users were showing high engagement with other features though, indicating that users either didn’t know this feature existed, knew the feature existed but didn’t understand the value add, or the feature was simply not something they needed.✦For a highly engaged audience, there wasn’t a standout page that most users visited. These users viewed a variety of pages across multiple sessions, typically viewing highly specific content pages. This indicated that instead of relying on a single page to drive conversions, getting users to the specific details they needed was likely a better approach in getting users to try the product.✦Nearly 84K sessions engaged with a particular content type. While this was lower than other content types, it was much higher than expected. It was largely organic traffic and the sessions were highly engaged. We recommended doing some additional research to better understand the potential opportunities with that type of content.What is the user journey or path?Another major area of investigation is the sequence of steps users take when viewing content or completing certain actions. This could be perusing content on the website, going through a signup funnel, or checking out to make a purchase. This helps us identify:the actual paths that lead to conversions (which is not always the path we assume it is) areas where users drop off at key points in the funnelmoments where users have to “turn around” in the journey, because the path laid before them doesn’t align with their needs This information can help you build towards a frictionless experience that encourages users to sign up, complete a purchase, or find the resources they need.Here are some examples of user journey insights that helped us understand where there were existing points of friction for users:✦While the CTA to demo the product appealed to users and they were quick to engage with it, it often resulted in users backtracking to the previous page. We hypothesized that users were eager to get to the demo, but were moving too quickly and missed important context, resulting in them having to go back to a previous page. We were able to confirm this with user testing and recommended transitioning some of that context to the CTA page.What “turning around” in the user journey can look like: ✦A select few products had abnormally high drop off rates, but at different stages depending on the product. For one product, there was an abnormally high cart-abandonment rate, and for another product, there was an abnormally low add-to-cart rate. Based on these findings we recommended looking further into what is impacting a user’s purchasing decisions.What dropoff can look like at different stages: The Ecosystem at LargeSome clients have a larger ecosystem of products or services, and it’s important to look at how users engage with and navigate across the ecosystem. This might include subdomains for a shop, a marketing site versus the product site, help documentation, etc. By looking at the larger ecosystem we can reveal important connections that are missing or connections that could be strengthened.Here are some examples of insights that demonstrated a need for changes in those ecosystem connections:✦For sessions where a user was looking for a particular kind of resource, 95% of the searches were done exclusively in a single subdomain or microsite. Through user interviews we were able to confirm that this siloed experience was intentional for experienced users but unintentional for less-experienced users, who were largely unaware of the other parts of the ecosystem that were available. We recommended making changes to improve discoverability of those other areas.✦For sessions where a user navigated between two domains, 75% of sessions navigated to the other domain to view documentation specifically. Yet, depending on the product, sometimes the documentation was hosted on a subdomain specific to documentation and sometimes it was available on the product domain. This created an inconsistent experience where for some products, users could find what they needed on the product website, but for other products, users were sent to an entirely different subdomain. We recommended creating a more consistent experience for users, where regardless of the product, the documentation would be found in the same location. Here at Viget, there are a wide variety of insights we may discover for any one project through behavioral analytics. These insights can help to identify new user groups, help to prioritize content or features maintenance and updates, or bring to attention moments in the user journey that are causing friction. These opportunities can help you bring in new users and retain your existing users, by providing an experience that aligns with their needs, whether that is finding resources, getting involved in a community, or making a purchase. If you’re interested in making your website or application more effective for your users by leveraging the power of behavioral analytics data, we’d love to hear from you. Full Article Strategy Data & Analytics Research
data How To Build Custom Data Visualizations Using Luzmo Flex By smashingmagazine.com Published On :: Thu, 12 Sep 2024 11:00:00 GMT Bringing data to life in your application can be done without the usual headaches. Paul Scanlon shows you how you can build beautiful data visualizations using the Google Analytics API, and you won’t have to spend any time “massaging” the data. Full Article
data Alternatives To Typical Technical Illustrations And Data Visualisations By smashingmagazine.com Published On :: Fri, 08 Nov 2024 09:00:00 GMT Thomas Bohm rethinks technical illustrations and data visualizations, sharing interesting and uncommon examples of how to present data and information. Bar graphs and pie charts are great, but there’s so much more to explore! Full Article
data The Catalyst for Startup Success in a Competitive Landscape [Datawave Overview] By dailyblogtips.com Published On :: Tue, 02 Apr 2024 22:21:23 +0000 The post The Catalyst for Startup Success in a Competitive Landscape [Datawave Overview] appeared first on DailyBlogTips.com. Full Article Marketing SEO
data Gravity Data Uncovers Ancient Ocean Features and Volcanic Activity on Mars By www.labroots.com Published On :: Fri, 13 Sep 2024 16:45:00 -0700 What did Mars look like billions of years ago? This is what a recent study presented at the Europlanet Science Congress (EPSC) 2024 hopes to address as a t Full Article Space & Astronomy
data Gravity Data Uncovers Ancient Ocean Features and Volcanic Activity on Mars By www.labroots.com Published On :: Fri, 13 Sep 2024 16:45:00 -0700 What did Mars look like billions of years ago? This is what a recent study presented at the Europlanet Science Congress (EPSC) 2024 hopes to address as a t Full Article Earth & The Environment
data Gravity Data Uncovers Ancient Ocean Features and Volcanic Activity on Mars By www.labroots.com Published On :: Fri, 13 Sep 2024 16:45:00 -0700 What did Mars look like billions of years ago? This is what a recent study presented at the Europlanet Science Congress (EPSC) 2024 hopes to address as a t Full Article Technology
data Crafting with Data By events.tufts.edu Published On :: 21 Nov 2024 17:00:00 GMT Nov 21, 2024, 12pm EST This workshop will explore data analysis and visualization from a data feminist perspective, exploring methods for critical making and physicalization through arts and crafts. Data physicalizations create tangible, embodied representations of data, engaging both creators and audiences in the labor behind the data, its contents, and presentation.Participants of all experience levels with data analysis, visualization, and craft are welcome to join this interactive workshop and discussion where we will examine datasets from a data feminist framework before exploring data physicalization through weaving, felting, drawing, and more.Please bring a laptop to the workshop. If you are a crafty person and would like to bring your own tools for experimenting (such as knitting needles, a crochet hook, embroidery), you are welcome, but we will have supplies on hand. Building: Tisch Library Campus Location: Medford/Somerville campus City: Medford, MA 02155 Campus: Medford/Somerville campus Location Details: Tisch Digital Design Studio (DDS) Open to Public: Yes Primary Audience(s): Faculty, Staff, Students (Graduate), Students (Undergraduate) Event Type: Lecture/Presentation/Seminar/Talk Subject: Humanities Event Contact Name: Kaylen Dwyer RSVP Information: tufts.libcal.com… More info: tischlibrary.tufts.edu… Full Article 2024/11/21 (Thu)
data Netskills course on Database Design and SQL. By www.netskills.ac.uk Published On :: Details are now available of the Netskills course on 'Database Design and SQL' to be held on Tuesday 13th June 2006 at the University of Bath are now available. This course is an ideal warm up for the Institutional Web Management Workshop. [2006-04-27] Full Article
data Data Security, Actual AI and Law’s Acceptance of Tech Spell the New Forefront of Law By www.littler.com Published On :: Tue, 07 Mar 2017 17:32:37 +0000 Zev Eigen considers artificial intelligence and predictive coding to be tools in making better informed hiring decisions. Corporate Counsel View Article Full Article
data Are You Buying a Lawsuit with ‘Big Data’? HR Must Ask the Right Questions By www.littler.com Published On :: Fri, 05 May 2017 15:59:25 +0000 During a presentation at the 2017 SHRM Employment Law and Legislative Conference, Marko Mrkonich, Zev Eigen and Corinn Jackson discussed the risks employers face when using data analytics. HR Daily Advisor View Article Full Article
data HR Should Understand the Risks and Rewards of Using Data Analytics By www.littler.com Published On :: Mon, 10 Jul 2017 21:16:01 +0000 Zev Eigen and Marko Mrkonich explore the benefits and potential risks of using data analytics to augment HR decision-making processes. SHRM Online View Article Full Article
data Using Data to Help Close the Gender Wage Gap By www.littler.com Published On :: Fri, 28 Jul 2017 15:38:16 +0000 Zev Eigen discusses how employers can utilize Big Data to help close the gender wage gap in their organizations. SHRM Online View Article Full Article
data Playing the numbers game: 21st Century law will be based on math and data analytics By www.littler.com Published On :: Thu, 10 Aug 2017 18:50:33 +0000 Zev Eigen comments on the increasing importance and role of data analytics in the legal industry. Financial Post View Article Full Article
data Can Data Solve Employers' Compensation Headache? By www.littler.com Published On :: Tue, 19 Sep 2017 15:04:42 +0000 Zev Eigen comments on the value of data in making decisions on compensation. HR Dive View Article Full Article
data Unlocking the Power of Relational Data to Improve Collaboration By www.littler.com Published On :: Tue, 31 Oct 2017 13:52:47 +0000 Zev Eigen authored an article covering the data science revolution in HR, as well as tools readily available to employers. The Lawyer's Daily View Article Full Article
data Three Ways Data Can Improve Legal Operations By www.littler.com Published On :: Wed, 03 Jan 2018 15:17:50 +0000 Scott Forman authored this article regarding big data, benchmarking, predictive modeling and trendspotting. Today's General Counsel View Article Full Article
data Good Data Is The Foundation For Data-Driven People Management By www.littler.com Published On :: Wed, 27 Jun 2018 20:02:28 +0000 Aaron Crews authored this article on how planning can help HR leverage big data and analytics to improve hiring, training and retention. HR Technologist View Article Full Article
data In the Rush to Big Data, Don't Ignore the Legal Risks By www.littler.com Published On :: Tue, 24 Jul 2018 14:18:16 +0000 Aaron Crews and Marko Mrkonich co-authored this article that breaks down big data and explains how it can be used in the workplace. TLNT View Article Full Article
data Workplace Litigation: Why US Employers Are Turning to Data By www.littler.com Published On :: Fri, 21 Feb 2020 21:45:09 +0000 Aaron Crews describes the use of data in determining liability and building arguments in wage and hour lawsuits. Financial Times View Article Full Article
data How HR and In-House Legal Can Help Prevent and Respond to the Next Killer Data Breach By www.littler.com Published On :: Tue, 02 Jul 2024 17:12:50 +0000 Full Article
data DOL Shifts Wage Data Source for Occupations By www.littler.com Published On :: Mon, 01 Jul 2024 14:47:46 +0000 As of July 1, 2024, the Foreign Labor Certification (FLC) Data Center website (FLCDataCenter.com) will be discontinued and will not be available for providing prevailing wage data for occupations. Prevailing wage information is required for permanent and temporary foreign labor certification processes as well as for various non-immigrant temporary work visas such as H-1B, H-1B1 and E-3. Full Article
data Belgium: Checklist ✔ of Required Data When Employing Third-Country Nationals Through Subcontracting By www.littler.com Published On :: Wed, 14 Aug 2024 19:37:43 +0000 To tackle illegal employment through subcontracting more effectively, the Flemish government improved chain liability, and introduced a duty of care. According to this duty of care, companies working with subcontractors in the Flemish Region are obliged to request certain data from these subcontractors (Cf. Decree of 27/10/2023). The Flemish Government's Implementing Decree was published in the Belgian Official Gazette on June 4, 2024, containing a checklist of the specific data to be requested. The decision will enter into force on January 1, 2025. Full Article
data OFCCP Reverses Course, Will Use EEO-1 Pay Data for Investigation, Enforcement By www.littler.com Published On :: Wed, 01 Sep 2021 16:26:00 +0000 On September 1, 2021, the Office of Federal Contract Compliance Programs (OFCCP), the Department of Labor sub-agency charged with enforcing affirmative action and non-discrimination requirements imposed on federal contractors by way of Executive Order 11246, announced that it was reversing Full Article
data OFCCP Plans to Disclose Confidential Employer EEO-1 Data: Can Employers Protect Their Information? By www.littler.com Published On :: Mon, 22 Aug 2022 13:49:16 +0000 On August 19, 2022, OFCCP published a notice in the Federal Register for the stated purpose of advising employers that in response to a Freedom of Information Act (FOIA) request, it is planning to produce confidential information that is protected from disclosure pursuant to a statutory exemption. Full Article
data OFCCP Extends Deadline for Objecting to Proposed Disclosures of EEO-1 Data By www.littler.com Published On :: Thu, 15 Sep 2022 16:42:59 +0000 As outlined in our August 22 Insight, OFCCP announced an intention to produce federal contractors’ Type 2 EEO-1 data in response to a FOIA request from the Center for Investigative Reporting (CIR). Employers were given until September 19, 2022, to file their objections. On September 15, 2022, OFCCP extended the deadline for filing objections to October 19, 2022. Full Article
data OFCCP Sued to Compel Release of EEO-1 Data By www.littler.com Published On :: Tue, 22 Nov 2022 22:16:22 +0000 Readers will recall that in August 2022, OFCCP published a notice in the Federal Register advising employers that it was the subject of a Freedom of Information Act (FOIA) request seeking EEO-1 data from all federal contractors, including first-tier subcontractors, for the period 2016-2020. Full Article
