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The biggest problem scientists in academia face is that they can’t do actual research. They spend most of their time doing stuff that doesn’t matter. So probabl

The biggest problem scientists in academia face is that they can’t do actual research. They spend most of their time doing stuff that doesn’t matter. So probably the biggest leverage you have is to reduce the time they spend doing stuff that doesn’t matter. The most effective way to do that is to establish an alternative form of institution that focuses only on research (and teaching if you like - teaching is not the problem). A tough challenge. One line of attack would be to contrast your costs with academia’s full economic coating model. Failing that, here’s some things you can do: - develop a paper reference system that actually works well. Mendeley is the best there is and it’s (IMO) rubbish. Poorly designed. - build a typesetting system that’s an alternative to latex but is WYSIWYG. Particularly important outside of CS. - build a free conference organising / review tool that works. EasyChair is popular and utter garbage. - build tools to automate the grant writing process. A step by step system to create a grant proposal, tailored to each grant scheme. Yes, this would potentially damage the grant application process. But it doesn’t make any sense anyway, so at least this would free up a few years where academics could churn the required proposals out fast until you were somehow disallowed. - provide free slide materials, examples, exercises for all the main CS etc topics. Some kind of “piece it together” kit so lecturers could save time making slides and other materials that tick boxes. Diagrams, for instance, would be very useful. Pseudocode too. NB you probably won’t make any money.

andrepd 7y ago
>develop a paper reference system that actually works well. Mendeley is the best there is and it’s (IMO) rubbish. Poorly designed. Zotero works wonderfully for me. And it's open, which is a must.
- Reelin 7y ago
  I'll preface this by clearly stating that Zotero is absolutely indispensable; I wouldn't be nearly as organized without it. It's very important to me that such tools be open, and Mendeley in particular is a complete disaster in this regard (see their history with encrypting user data). That being said, Zotero is very much a "least worst" tool in my opinion. * Overly rigid in how it goes about modeling document types and metadata fields. * Doesn't handle bookmarks, browsing history, and other various data types. At first glance it's easy to dismiss such things as out of scope, but I find that my typical workflow results in reams of such unsupported data being generated and manually tracked by me. The problem is that this unsupported data is often tightly coupled to the data I'm managing with Zotero, which is frustrating to say the least. * An incredibly heavy and inefficient piece of software. * It's far too difficult to set up and manage my own sync server (last time I checked, at least). I don't really want to share all my data with the developers, but it's very inconvenient not to do so. More on topic with the broader discussion - knowledge and data management in general seems to be a largely unsolved problem, particularly in science and particularly regarding interrelations between and versioning of arbitrary pieces of data.
  - gsjbjt 7y ago
    Why don’t data versioning tools like git lfs do the job? Is it lack of awareness or is the problem more complex than that?
    - Reelin 7y ago
      Well I could just be unaware of some functionality they have, but all those tools do is version things. There's no integration with reference managers like Zotero (that I'm aware of), and no tracking of interrelations or metadata. In contrast, Zotero (and other reference managers) don't do any versioning at all (at least that I'm aware of). Instead, they keep track of the metadata that's necessary to put together a works cited section for an academic paper. ... or at least that's what they started out doing. These days they also try to organize your papers into some sort of category structure, facilitate tagging and notes, provide synchronization between your devices, and probably a few other things that don't come to mind right now. Feature creep? Sure, but all that stuff is central to the research and writing process. It's also all tightly coupled, so splitting it between multiple tools doesn't work very well. And that's the current problem - how to integrate, for example, a few of your browser bookmarks with your academic literature collection. Or how to track a list of all the papers cited by a particular paper. Or link a specific paper tracked by your reference management software against a specific version of a large data set, perhaps itself tracked by Git LFS. Generalizing a bit, what about linking experimental notes (typically pen and paper) with data collection software (typically a binary), as well as the collected data (perhaps Git LFS), as well as a specific version of some data analysis scripts you wrote (perhaps Git). Now try to track everything as you work on multiple paper revisions with collaborators, each version of which adds (and sometimes removes) citations and could use a different (likely newer) revision of the collection software, data set, or analysis scripts. Alternatively, for a data management scenario not directly involving writing papers consider molecular cloning using plasmids. You have a dozen semi-related tubes in a cryogenic freezer that you need to track over many years (ie long term inventory management), each of which has one or more pieces of sequencing data attached to it (so a small data set), they're all interrelated (you create a new one by physically modifying an old one), and each has the typical meta-links to experimental protocols, notes, academic literature, and other things. I'm not aware of any software solutions that comprehensively address all of this stuff, so people still use pen and paper. But pen and paper is time consuming, it's error prone, it doesn't sync between devices, it's slow and tedious to cross reference - all the typical problems that software is good at addressing.
iceIX 7y ago
> - build a free conference organising / review tool that works. EasyChair is popular and utter garbage. This is what we're doing at OpenReview.net. Obviously we still have a lot of work to do, but we're making progress and are actively looking for more developers that want to help make researchers' lives easier.

andrepd 7y ago

>develop a paper reference system that actually works well. Mendeley is the best there is and it’s (IMO) rubbish. Poorly designed. Zotero works wonderfully for me. And it's open, which is a must.

Reelin 7y ago
I'll preface this by clearly stating that Zotero is absolutely indispensable; I wouldn't be nearly as organized without it. It's very important to me that such tools be open, and Mendeley in particular is a complete disaster in this regard (see their history with encrypting user data). That being said, Zotero is very much a "least worst" tool in my opinion. * Overly rigid in how it goes about modeling document types and metadata fields. * Doesn't handle bookmarks, browsing history, and other various data types. At first glance it's easy to dismiss such things as out of scope, but I find that my typical workflow results in reams of such unsupported data being generated and manually tracked by me. The problem is that this unsupported data is often tightly coupled to the data I'm managing with Zotero, which is frustrating to say the least. * An incredibly heavy and inefficient piece of software. * It's far too difficult to set up and manage my own sync server (last time I checked, at least). I don't really want to share all my data with the developers, but it's very inconvenient not to do so. More on topic with the broader discussion - knowledge and data management in general seems to be a largely unsolved problem, particularly in science and particularly regarding interrelations between and versioning of arbitrary pieces of data.
- gsjbjt 7y ago
  Why don’t data versioning tools like git lfs do the job? Is it lack of awareness or is the problem more complex than that?
  - Reelin 7y ago
    Well I could just be unaware of some functionality they have, but all those tools do is version things. There's no integration with reference managers like Zotero (that I'm aware of), and no tracking of interrelations or metadata. In contrast, Zotero (and other reference managers) don't do any versioning at all (at least that I'm aware of). Instead, they keep track of the metadata that's necessary to put together a works cited section for an academic paper. ... or at least that's what they started out doing. These days they also try to organize your papers into some sort of category structure, facilitate tagging and notes, provide synchronization between your devices, and probably a few other things that don't come to mind right now. Feature creep? Sure, but all that stuff is central to the research and writing process. It's also all tightly coupled, so splitting it between multiple tools doesn't work very well. And that's the current problem - how to integrate, for example, a few of your browser bookmarks with your academic literature collection. Or how to track a list of all the papers cited by a particular paper. Or link a specific paper tracked by your reference management software against a specific version of a large data set, perhaps itself tracked by Git LFS. Generalizing a bit, what about linking experimental notes (typically pen and paper) with data collection software (typically a binary), as well as the collected data (perhaps Git LFS), as well as a specific version of some data analysis scripts you wrote (perhaps Git). Now try to track everything as you work on multiple paper revisions with collaborators, each version of which adds (and sometimes removes) citations and could use a different (likely newer) revision of the collection software, data set, or analysis scripts. Alternatively, for a data management scenario not directly involving writing papers consider molecular cloning using plasmids. You have a dozen semi-related tubes in a cryogenic freezer that you need to track over many years (ie long term inventory management), each of which has one or more pieces of sequencing data attached to it (so a small data set), they're all interrelated (you create a new one by physically modifying an old one), and each has the typical meta-links to experimental protocols, notes, academic literature, and other things. I'm not aware of any software solutions that comprehensively address all of this stuff, so people still use pen and paper. But pen and paper is time consuming, it's error prone, it doesn't sync between devices, it's slow and tedious to cross reference - all the typical problems that software is good at addressing.

iceIX 7y ago

> - build a free conference organising / review tool that works. EasyChair is popular and utter garbage. This is what we're doing at OpenReview.net. Obviously we still have a lot of work to do, but we're making progress and are actively looking for more developers that want to help make researchers' lives easier.