Hi all,

We are recruiting a few more Video Game Data Curation Specialists for our Hyderabad office.

The primary skillset required for this role is knowledge about videogames, some basic google sheets and MS office skills, and a passion to learn more about the inner workings of the gaming industry, developers, publishers, release schedules, gaming conventions, etc.

Around 10-12 positions are available.

ROLE: Jr. Video Game Data Curation Specialist

• Collect data about games, e.g. the release date, box art, description & key features, screenshots, trailer links, age ratings in different regions, etc.

• Keep in touch with developers and publishers to curate information about their upcoming games, either via email, social media or press releases.

• Work on Video game data tasks for our clients that include major fortune 500 companies such as Google Search, Youtube, Amazon and Samsung.

• You can read more details and apply HERE.

• CTC: 2.4 to 3.0 LPA

  • Prefer freshers or people with less than 2 years of experience.
  • We only deduct TDS (10%), you will get the rest of the salary in hand; and you can claim 100% tax returns at the end of the year.

Some things to know:

• Hybrid WFH model: You will come to the office 1-3 days each week and work from home (or wherever you want) the rest of the time.
• No prior work experience is required for this role.
• A graduate degree is required, but we do not care about how many marks you got or what field you graduated in.
• This is a full-time job; timings are from 11 am to 8 pm, 5 days a week; so you WILL NOT be able to do it if you are still attending college for example.
• These are fresher level positions; we also have other openings for experienced people that you can find HERE.
• We only have offices in Hyderabad and Oslo, so if you are not OK with moving to Hyderabad, please do not apply.

Please feel free to ask me any questions and let your friends know in case they might be interested! Thanks!

Hi! Are there any open source MDM solutions available

My use case is:

• tool that allows data analysts to review data quality issues, fix them
• tool that allows us to maintain a master data, and track who modified what
• allows us to have some roles for data governance

In most of my research I found paid enterprise software which either don’t have transparent pricing or lot expensive for my budget (30-40$/month)

I walked up to my local library today and got myself a copy of Neil Gaiman's American Gods, a book I have been excited to read for months. I already own an audiobook version of it, but I like to read the physical copy while listening. I made myself a cup of tea, got into my comfy clothes, I was ready for 8 hours of reading. As I was going to pull up my audiobook on book sonic (audiobook server), I noticed the audio somehow didn't have metadata. In fact, none of my audiobooks for this author did. "No worries," I thought "I will take a few minutes to do this then be back to my reading in no time". Needless to say, that didn't happen. I have now spent my entire day writing metadata for 100 books and over 3000 songs. I would still call that a productive day, but I am sad I didn't get to read.

Does this type of thing happen to anyone else?

Looking to take this during fall, and wondering if anyone has taken this before and have thoughts about content and difficulty.

Thanks

FULL 63 PAGE PDF - The Lancet Commission on Diabetes: using data to transform diabetes care and patient lives

Dr David Ludwig on Twitter https://twitter.com/davidludwigmd/status/1328346729284964352

https://preview.redd.it/jw7w278s7mz51.png?width=355&format=png&auto=webp&s=852f3aee1767e1be681a7e348b08b7abed5442c4

https://preview.redd.it/b8vhyw3r7mz51.png?width=450&format=png&auto=webp&s=67b35e63373b627578a49e25e0fe42fc37ce8fa9

https://www.sciencedirect.com/science/article/abs/pii/S0140673620323746?via%3Dihub

The Lancet CommissionsThe Lancet Commission on diabetes: using data to transform diabetes care and patient lives

Executive summary

2020 will go down in history as the year when the global community was awakened to the fragility of human health and the interdependence of the ecosystem, economy, and humanity. Amid the COVID-19 pandemic, the vulnerability of people with diabetes during a public health emergency became evident by their at least 2 times increased risk of severe disease or death, especially in individuals with poorly controlled diabetes, comorbidities, or both. The disease burden caused by COVID-19, exacerbated by chronic conditions like diabetes, has inflicted a heavy toll on health-care systems and the global economy.

In this Lancet Commission on diabetes, which embodies 4 years of extensive work on data curation, synthesis, and modelling, we urge policy makers, payers, and planners to collectively change the ecosystem, build capacity, and improve the clinical practice environment. Such actions will enable practitioners to systematically collect data during routine practice and to use these data effectively to diagnose early, stratify risks, define needs, improve care, evaluate solutions, and drive changes at patient, system, and policy levels to prevent and control diabetes and other non-communicable diseases. Emerging evidence regarding the possible damaging effects of severe acute respiratory syndrome coronavirus 2 on pancreatic islets implies the potential worsening of the COVID-19 pandemic and the diabetes epidemic, adding to the urgency of these collective actions.

Prevention, early detection, prompt diagnosis,

Data Curation is a way of managing data that makes it more useful for users engaging in data discovery and analysis. It can also be termed as the end-to-end process of creating good data by identifying and forming resources with long-term value. Information technology refers mainly to the management of data throughout its life cycle, from invention and early storage to the time when it is reserved for future research and analysis or becomes obsolete and deleted

Acts as a bridge

Data Curation facilitates collecting and controlling the data that all can make use of it in their various ways. Without Data Curation, it would be inconceivable to get, process, and validate data in a given organization. As it acts as an overpass, there’s an increasing emphasis on leveraging the powers of Data Curation.

Organizes the data

Data Curation arranges the data that keeps piling up every moment. No matter how huge the datasets may be, Data Curation can help us systematically manage them so that the analysts and scientists can approach them in a format most suitable. Once it is organized in a convenient way for data scientists, they can use it to fetch insights that the business can rely on. However, it all pivots on how well you use it to organize the data.

Takes care of quality

You can control Data Curation to beware of the quality of the data. You can make sure that good data remains with you, and you let go of that which is not applicable. Data analysts and data scientists will realize that Data Curation has taken care of the quality and will be able to believe the data provided to them. In the age of big data and surplus data in a way, one can get lost entirely without Data Curation on one’s side. Therefore, there’s a growing recognition in the data industry to capitalize on Data Curation and ensure quality control.

Making Machine Learning more effective

Machine Learning algorithms have made big strides towards understanding the consumer space. AI consisting of “neural networks” collaborate and can use Deep Learning to recognize patterns. However, Humans need to intervene, at least initially, to direct algorithmic behavior towards practical learning. Curations are about where the humans can add their knowledge to what the machine has automated. This results in prepping for intelligent self-service processes, setting up organizations for insights.

***Spee

HI, there I am part of a small group of researchers at Nalanda University in Bihar, India currently engaged in a study of the global diversity of our urban forests and we are looking for detail-oriented citizen scientists to help in compiling a database. We are looking for between 20-50 citizen scientists to donate a few hours of time and computer skills over the next few weeks to help us curate a database of seed traits!

Let me dive right into what you might want to know...

What do “I” need to do to help?

Each participant will be sent a spreadsheet containing the names of between 50 and 150 tree species currently known to be planted in urban spaces around the globe (you pick how many you are willing to do), as well as a corresponding link to the KEW Seed information database. Participants are asked to follow the link for each species, collect the relevant data and input it into the spreadsheet. As simple as that! Participation on average takes about an hour and your efforts will be helping to lay the groundwork for better understanding the future of our urban forests... It may not be the most glamorous part of research but it’s important!!

Why do we want this information?

Current estimates state that of the known 60000+ species of trees only 8% (<5000) are being planted in our urban spaces globally (Ossola et al. 2020). This may have huge implications for the health and diversity of our future urban forest. We are trying to understand why such a low percentage of the known diversity is being used and to better assess some of the risks this might pose for the urban forests of tomorrow. You see, understanding the seed and reproductive traits of plants can tell us a lot about them and how they shape the ecosystems in which they live. One such trait we are identifying is seed mass. Seed mass influences dispersal methods (the way seed travel and how the plant populations move over time) as well as the survivability rates of seedlings, and can be directly correlated to mature plant size and the plant's life span. Seed traits can tell us a lot about the conditions that these trees need to reproduce and how they naturally spread over time. Understanding these traits offers some insight into how what we plant in our urban spaces today may shape our urban forest of tomorrow.

How do I get started?

Simply fill out this google form and information will

And while I'm sure how you sort will result in different algorithmic methods in producing/showing content for you, how exactly do these things vary, more macroscopically? (So, looking away from obvious specifics like how sorting by "controversial" will show comments with a relatively high mix of upvotes and downvotes, etc.)

I ask because I'm starting to suspect the algorithms work very, very differently for "new" in particular. Do they just disregard all of your previous data/history? Why don't they make a "new" sorting which factors in your data? It appears they don't; I'm subscribed to a few nsfw subreddits like r/gonewild, though use them much less than other subreddits. When I sorted by "new" yesterday, I felt like Cartman talking about Chat Roulette, as suddenly my feed was full of dick pictures. I didn't even know men posted to r/gonewild! (Indeed, I'd clicked on posts from r/gonewild involving women before, and that's literally all I'd see from r/gonewild when sorting in other ways.) Most of the posts on my feed were from this subreddit I hardly use, and while there were a few female posts, the vast majority of gonewild posts were of men/dicks. Assuming Reddit tries to show content relevant to your history/data, you'd think on something as relatively simple, but also important as sexual orientation, that they'd factor this in. (Obviously if you're a straight man, which-to personify algorithms a bit because otherwise discussing them can become cumbersome, though I would like some depth here- Reddit's algorithms should be able to "figure out," or make good predictions about based on your history, fairly easily, you're not going to want to see tons of dicks on your feed when sorting by "new.")

It's just really strange to me how your average laypeople act like modern tech algorithms for content curation are so well-designed and advanced or "smart," yet I see so many trends which shouldn't occur with such algorithms.

What gives here?

Hi Statisticians,

We are inviting you to participate in an insurance-related curation of data and data+models. Each successful submission of data(only) has an equivalent 300USD per successful submission up to 4. While the reward for data+model submission has an equivalent of 100USD per successful submission up to 3.

Here is the listing policy for your 'data only' to be accepted: https://ipfs.kleros.io/ipfs/Qmf7odAHKuyS2NyQcV16oPPficNuESJwEU7gqeJXo2mu4E/primary-document-for-data-submissions.pdf

Here is the listing policy for your 'data+model' to be accepted: https://ipfs.kleros.io/ipfs/QmdTcyKVc8dfa2hi2sj5ChFupUe3ypmFhHwnxAt6jK6BQA/primary-document-for-model-submissions-1-.pdf

I'll be glad to assist you in submitting your entries that need a little knowledge on Metamask, Send/Receive of Ethereum, and Curate dApp.

You may also challenge a submission should you find it not within the rules of listing acceptance. The bounty ranges from 80USD-150USD plus .07 ETH for a successful challenge."

Original announcement: https://blog.kleros.io/kleros-as-a-tool-for-open-innovation/

Hi all,

I am Shrutesh Kumar, Head of Game Taxonomy at Gameopedia.

We are recruiting more Video Game Data Curation Specialists for our company based in Hyderabad.

Here are the highlights about the job role:

ROLE: Jr. Video Game Data Curation Specialist

• Collect data about games, e.g. the release date, box art, description & key features, screenshots, trailer links, age ratings in different regions, etc.

• Keep in touch with developers and publishers to curate information about their upcoming games, either via email, social media or press releases.

• Work on Video game data tasks for our clients that include major fortune 500 companies such as Google Search, Youtube, Amazon and Samsung.

• CTC: 3.0 to 4.0 LPA

  • (depending on prior work experience and interview performance)

• LOCATION: Hyderabad

  • Hybrid WFH model; i.e. you will come to office on some days ~ 50% of the time and be WFH ~50% of the time, but you will be required to be in Hyderabad since the office is in Hyderabad.
  • The office shall re-open in November 2021 once we have finished shifting to a bigger & better building (currently underway)

• You can read more details and apply HERE.

A few clarifications:

• You CAN apply for this role if you previously applied for the "Video Game Content Analyst" role and were either not shortlisted or you backed out.
• You CAN apply for this role if you are in your final year of college and are just waiting for results/exams (i.e. you do not have to attend classes anymore).
• We do not require any sort of work experience to apply for these roles.
• We require a Graduate degree, but we do not care about which field you graduated in or how many marks you got in graduation.
• You CANNOT apply for this role if you do not hold a graduate degree or are still pursuing graduation as this is a full-time job (5 days a week, 11-8).
• These are fresher level positions; we also have other openings for experienced people that you can find HERE.
• PLEASE DO NOT APPLY if you do not want to move to Hyderabad; we only have offices in Hyderabad, Oslo and potentially New York in the future; there are no options to work from anywhere else within India.

Please feel free to ask me any questions and let your friends know in case they might be interested! Thanks!

Hi all,

We are recruiting more Video Game Data Curation Specialists for our company based in Hyderabad.

Here are the highlights about the job role:

ROLE: Jr. Video Game Data Curation Specialist

• Collect data about games, e.g. the release date, box art, description & key features, screenshots, trailer links, age ratings in different regions, etc.
• Keep in touch with developers and publishers to curate information about their upcoming games, either via email, social media or press releases.
• CTC: 2.4 to 4.0 LPA
  • (depending on prior work experience and interview performance)
• LOCATION: Hyderabad
  • (remote until vaccinations are completed for everyone)
• You can read more details and apply HERE.

A few clarifications:

• You CAN apply for this role if you previously applied for the "Video Game Content Analyst" role and were either not shortlisted or you backed out.
• You CAN apply for this role if you are in your final year of college and are just waiting for results/exams (i.e. you do not have to attend classes anymore).
• We do not require any sort of work experience to apply for these roles.
• We require a Graduate degree; but we do not care about which field you graduated in or how many marks you got in graduation.
• You CANNOT apply for this role if you do not hold a graduate degree or are still pursuing graduation as this is a full-time job (5 days a week, 11-8).
• These are fresher level positions; we also have other openings for experienced people that you can find HERE.

Please feel free to ask me any questions and let your friends know in case they might be interested! Thanks!

Hi! Are there any open source MDM solutions available

My use case is:

• tool that allows data analysts to review data quality issues, fix them
• tool that allows us to maintain a master data, and track who modified what
• allows us to have some roles for data governance

In most of my research I found paid enterprise software which either don’t have transparent pricing or lot expensive for my budget (30-40$/month)