How do I regain my momentum in research after a long period of slacking off?











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I'm two and a half years into my PhD program. Recently, I finally worked up the courage to admit it — I've been slacking off for over a year and it's my fault. Now I'm determined to be productive in research again but realized that I forgot how to.



It was sweet in the beginning. I got a paper accepted at a top conference after my first semester, which was quite something for a first-year. I was enthusiastic about research back then, devouring papers in and outside my field and conceiving of new research projects even in my dreams.



Sadly, things changed quickly. At the beginning of my second semester, I took over a project left by a visiting scholar in my lab. That project was complicated and beyond my expertise. I poured hours and hours into it but barely got any useable data. Meanwhile, my own projects began to go nowhere. My adviser didn't offer any concrete help (e.g., giving advice on how to improve my experiment equipment or design, pointing me to people who might be able to help, etc.) but just asked me to keep going. After a streak of failed experiments, I felt disillusioned and started to spend less and less time on research. I spent what must have been 40 hours a week on my hobbies and social activities. I feel ashamed to admit it but even when I was in my office, I wasn't thinking about research — most of the time, I was just randomly browsing the Internet and waiting to go home. I only worked hard before major deadlines and managed to get some papers/posters accepted at major conferences. These achievements, however, paled by comparison in front of those of my cohort. My adviser noticed and mentioned several times that my research is going slowly.



This semester, I came to the realization that I've squandered half of my PhD career and decided not to continue on the path of self-destruction. I want to make the most of what I have left but feel disoriented about where to begin and what to prioritize. For instance, should I first catch up on basic research skills that I lack or come up with new ideas? Speaking of the latter, what are some good practices I can follow in order to regularly come up with research ideas? — I used to be good at this but have now lost touch with what good (or at least feasible) ideas look like. How mature should an idea be before it's a good time to talk to others about it? Should I ever share my concerns with people in my program? — They may look down upon me and I'm not sure what good it does, but it feels so painful to keep pretending that I'm right on track.



Any suggestions would be much appreciated!!










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  • 1) Start small, 2) Ideas come from working on mundane stuff
    – henning
    52 mins ago















up vote
2
down vote

favorite












I'm two and a half years into my PhD program. Recently, I finally worked up the courage to admit it — I've been slacking off for over a year and it's my fault. Now I'm determined to be productive in research again but realized that I forgot how to.



It was sweet in the beginning. I got a paper accepted at a top conference after my first semester, which was quite something for a first-year. I was enthusiastic about research back then, devouring papers in and outside my field and conceiving of new research projects even in my dreams.



Sadly, things changed quickly. At the beginning of my second semester, I took over a project left by a visiting scholar in my lab. That project was complicated and beyond my expertise. I poured hours and hours into it but barely got any useable data. Meanwhile, my own projects began to go nowhere. My adviser didn't offer any concrete help (e.g., giving advice on how to improve my experiment equipment or design, pointing me to people who might be able to help, etc.) but just asked me to keep going. After a streak of failed experiments, I felt disillusioned and started to spend less and less time on research. I spent what must have been 40 hours a week on my hobbies and social activities. I feel ashamed to admit it but even when I was in my office, I wasn't thinking about research — most of the time, I was just randomly browsing the Internet and waiting to go home. I only worked hard before major deadlines and managed to get some papers/posters accepted at major conferences. These achievements, however, paled by comparison in front of those of my cohort. My adviser noticed and mentioned several times that my research is going slowly.



This semester, I came to the realization that I've squandered half of my PhD career and decided not to continue on the path of self-destruction. I want to make the most of what I have left but feel disoriented about where to begin and what to prioritize. For instance, should I first catch up on basic research skills that I lack or come up with new ideas? Speaking of the latter, what are some good practices I can follow in order to regularly come up with research ideas? — I used to be good at this but have now lost touch with what good (or at least feasible) ideas look like. How mature should an idea be before it's a good time to talk to others about it? Should I ever share my concerns with people in my program? — They may look down upon me and I'm not sure what good it does, but it feels so painful to keep pretending that I'm right on track.



Any suggestions would be much appreciated!!










share|improve this question
























  • 1) Start small, 2) Ideas come from working on mundane stuff
    – henning
    52 mins ago













up vote
2
down vote

favorite









up vote
2
down vote

favorite











I'm two and a half years into my PhD program. Recently, I finally worked up the courage to admit it — I've been slacking off for over a year and it's my fault. Now I'm determined to be productive in research again but realized that I forgot how to.



It was sweet in the beginning. I got a paper accepted at a top conference after my first semester, which was quite something for a first-year. I was enthusiastic about research back then, devouring papers in and outside my field and conceiving of new research projects even in my dreams.



Sadly, things changed quickly. At the beginning of my second semester, I took over a project left by a visiting scholar in my lab. That project was complicated and beyond my expertise. I poured hours and hours into it but barely got any useable data. Meanwhile, my own projects began to go nowhere. My adviser didn't offer any concrete help (e.g., giving advice on how to improve my experiment equipment or design, pointing me to people who might be able to help, etc.) but just asked me to keep going. After a streak of failed experiments, I felt disillusioned and started to spend less and less time on research. I spent what must have been 40 hours a week on my hobbies and social activities. I feel ashamed to admit it but even when I was in my office, I wasn't thinking about research — most of the time, I was just randomly browsing the Internet and waiting to go home. I only worked hard before major deadlines and managed to get some papers/posters accepted at major conferences. These achievements, however, paled by comparison in front of those of my cohort. My adviser noticed and mentioned several times that my research is going slowly.



This semester, I came to the realization that I've squandered half of my PhD career and decided not to continue on the path of self-destruction. I want to make the most of what I have left but feel disoriented about where to begin and what to prioritize. For instance, should I first catch up on basic research skills that I lack or come up with new ideas? Speaking of the latter, what are some good practices I can follow in order to regularly come up with research ideas? — I used to be good at this but have now lost touch with what good (or at least feasible) ideas look like. How mature should an idea be before it's a good time to talk to others about it? Should I ever share my concerns with people in my program? — They may look down upon me and I'm not sure what good it does, but it feels so painful to keep pretending that I'm right on track.



Any suggestions would be much appreciated!!










share|improve this question















I'm two and a half years into my PhD program. Recently, I finally worked up the courage to admit it — I've been slacking off for over a year and it's my fault. Now I'm determined to be productive in research again but realized that I forgot how to.



It was sweet in the beginning. I got a paper accepted at a top conference after my first semester, which was quite something for a first-year. I was enthusiastic about research back then, devouring papers in and outside my field and conceiving of new research projects even in my dreams.



Sadly, things changed quickly. At the beginning of my second semester, I took over a project left by a visiting scholar in my lab. That project was complicated and beyond my expertise. I poured hours and hours into it but barely got any useable data. Meanwhile, my own projects began to go nowhere. My adviser didn't offer any concrete help (e.g., giving advice on how to improve my experiment equipment or design, pointing me to people who might be able to help, etc.) but just asked me to keep going. After a streak of failed experiments, I felt disillusioned and started to spend less and less time on research. I spent what must have been 40 hours a week on my hobbies and social activities. I feel ashamed to admit it but even when I was in my office, I wasn't thinking about research — most of the time, I was just randomly browsing the Internet and waiting to go home. I only worked hard before major deadlines and managed to get some papers/posters accepted at major conferences. These achievements, however, paled by comparison in front of those of my cohort. My adviser noticed and mentioned several times that my research is going slowly.



This semester, I came to the realization that I've squandered half of my PhD career and decided not to continue on the path of self-destruction. I want to make the most of what I have left but feel disoriented about where to begin and what to prioritize. For instance, should I first catch up on basic research skills that I lack or come up with new ideas? Speaking of the latter, what are some good practices I can follow in order to regularly come up with research ideas? — I used to be good at this but have now lost touch with what good (or at least feasible) ideas look like. How mature should an idea be before it's a good time to talk to others about it? Should I ever share my concerns with people in my program? — They may look down upon me and I'm not sure what good it does, but it feels so painful to keep pretending that I'm right on track.



Any suggestions would be much appreciated!!







phd research-process career-path productivity motivation






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edited 58 mins ago

























asked 4 hours ago









Ewan

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  • 1) Start small, 2) Ideas come from working on mundane stuff
    – henning
    52 mins ago


















  • 1) Start small, 2) Ideas come from working on mundane stuff
    – henning
    52 mins ago
















1) Start small, 2) Ideas come from working on mundane stuff
– henning
52 mins ago




1) Start small, 2) Ideas come from working on mundane stuff
– henning
52 mins ago










3 Answers
3






active

oldest

votes

















up vote
4
down vote













This may sound stupid, but a good place to start when confronted with a seemingly unsolvable problem is just to start doing something. There are always some simple experiment/simulation one can run, some related papers one can read, or some results that can be written up. The point is to get back to making consistent and incremental progress, no matter how trivial it may seem or how many mistakes you make. Once you get the ball rolling everything else should follow, given your background.



Don't worry too much about coming up with research questions. Good research problems are not dreamed up in a vacuum. You have to immerse yourself in the literature and your research problem to see the gaps that others have overlooked or come up with new methods to tackle old problems. So when you are still trying to get back to speed don't expect brilliant ideas to just pop into your head.



Another thing you should do is to set up weekly meetings with your advisor. Or if your advisor is not available, then write up regular progress report, both for yourself and send it to your advisor. The fact that you can slack off for years and get away with it means that there is a lack of structure and discipline.






share|improve this answer




























    up vote
    3
    down vote













    Concentrate on something easy that will end up being an "LPU" (least publishable unit). It won't be groundbreaking, it won't be cover of Nature. But it will be progress. You just need to get back into the swing of things. Avoid anything requiring building apparatus or that might not work. You need to get a small win, a base run, "selling a used car, not a new Jaguar". I don't know your exact field but a chemical example might be to just replicating a system you have done before and been published on with some different element or compound.



    Keep it simple, keep it small, get something done and published, even if very "datapoint" type learning. You won't get some huge attaboy from it, but at least you will be back in the game. If you try instead for some Hail Mary (hard problem) to compensate for past issues, it will be too tough and you will sputter out.



    Actually I even normally give the advice to grad students to start with (and maybe even stick with) easy stuff throughout their program. Picking the right problem is probably the key thing to having a decent grad school experience. [After that picking a decent advisor (that you get along with, not who is famous).] Chasing the Holy Grail, failing, and then not getting your Ph.D. is a bad feeling...or just sputtering around until they take pity on you and push you through. Once you have tenure, it is a different set of incentives and you can push the cutting edge projects (and/or even burn through grad students sending them after Holy Grails).






    share|improve this answer








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    • I am not sure if you have multiple "guest" accounts, if you do, please follow academia.stackexchange.com/help/merging-accounts to merge them. Thanks
      – scaaahu
      1 hour ago




















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    I think that the other responses on here have been good, but I would also add that having the attitude of "Do it today, rather than tomorrow" can be surprisingly effective in boosting productivity. What I mean, is that there are always experiments or problems that don't have discreet time limits on them, meaning that it doesn't really matter in essence if you try the experiment today, tomorrow or sometime in the near future. However, you would be surprised how much more you can actually get done if you take the attitude that those types of experiments should be done as soon as possible, rather than delayed ("today" even). As scientists, we often learn more from our failures than we do from quick and easy successes. As a result, getting to those failures faster might seem like it's not worth it, but actually pays off in the long run.



    With regards to sharing concerns, I would definitely reach out to your lab-mates and other people you know the program (but maybe not your advisor depending on that relationship). I think you will find more sympathy there than you would expect, especially with an attitude that you would like to improve. Also, in my experience almost everyone in research is happy to discuss potential project ideas, at almost any stage.






    share|improve this answer








    New contributor




    Rhiom is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      3 Answers
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      active

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      3 Answers
      3






      active

      oldest

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      active

      oldest

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      active

      oldest

      votes








      up vote
      4
      down vote













      This may sound stupid, but a good place to start when confronted with a seemingly unsolvable problem is just to start doing something. There are always some simple experiment/simulation one can run, some related papers one can read, or some results that can be written up. The point is to get back to making consistent and incremental progress, no matter how trivial it may seem or how many mistakes you make. Once you get the ball rolling everything else should follow, given your background.



      Don't worry too much about coming up with research questions. Good research problems are not dreamed up in a vacuum. You have to immerse yourself in the literature and your research problem to see the gaps that others have overlooked or come up with new methods to tackle old problems. So when you are still trying to get back to speed don't expect brilliant ideas to just pop into your head.



      Another thing you should do is to set up weekly meetings with your advisor. Or if your advisor is not available, then write up regular progress report, both for yourself and send it to your advisor. The fact that you can slack off for years and get away with it means that there is a lack of structure and discipline.






      share|improve this answer

























        up vote
        4
        down vote













        This may sound stupid, but a good place to start when confronted with a seemingly unsolvable problem is just to start doing something. There are always some simple experiment/simulation one can run, some related papers one can read, or some results that can be written up. The point is to get back to making consistent and incremental progress, no matter how trivial it may seem or how many mistakes you make. Once you get the ball rolling everything else should follow, given your background.



        Don't worry too much about coming up with research questions. Good research problems are not dreamed up in a vacuum. You have to immerse yourself in the literature and your research problem to see the gaps that others have overlooked or come up with new methods to tackle old problems. So when you are still trying to get back to speed don't expect brilliant ideas to just pop into your head.



        Another thing you should do is to set up weekly meetings with your advisor. Or if your advisor is not available, then write up regular progress report, both for yourself and send it to your advisor. The fact that you can slack off for years and get away with it means that there is a lack of structure and discipline.






        share|improve this answer























          up vote
          4
          down vote










          up vote
          4
          down vote









          This may sound stupid, but a good place to start when confronted with a seemingly unsolvable problem is just to start doing something. There are always some simple experiment/simulation one can run, some related papers one can read, or some results that can be written up. The point is to get back to making consistent and incremental progress, no matter how trivial it may seem or how many mistakes you make. Once you get the ball rolling everything else should follow, given your background.



          Don't worry too much about coming up with research questions. Good research problems are not dreamed up in a vacuum. You have to immerse yourself in the literature and your research problem to see the gaps that others have overlooked or come up with new methods to tackle old problems. So when you are still trying to get back to speed don't expect brilliant ideas to just pop into your head.



          Another thing you should do is to set up weekly meetings with your advisor. Or if your advisor is not available, then write up regular progress report, both for yourself and send it to your advisor. The fact that you can slack off for years and get away with it means that there is a lack of structure and discipline.






          share|improve this answer












          This may sound stupid, but a good place to start when confronted with a seemingly unsolvable problem is just to start doing something. There are always some simple experiment/simulation one can run, some related papers one can read, or some results that can be written up. The point is to get back to making consistent and incremental progress, no matter how trivial it may seem or how many mistakes you make. Once you get the ball rolling everything else should follow, given your background.



          Don't worry too much about coming up with research questions. Good research problems are not dreamed up in a vacuum. You have to immerse yourself in the literature and your research problem to see the gaps that others have overlooked or come up with new methods to tackle old problems. So when you are still trying to get back to speed don't expect brilliant ideas to just pop into your head.



          Another thing you should do is to set up weekly meetings with your advisor. Or if your advisor is not available, then write up regular progress report, both for yourself and send it to your advisor. The fact that you can slack off for years and get away with it means that there is a lack of structure and discipline.







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered 4 hours ago









          Drecate

          4,89012140




          4,89012140






















              up vote
              3
              down vote













              Concentrate on something easy that will end up being an "LPU" (least publishable unit). It won't be groundbreaking, it won't be cover of Nature. But it will be progress. You just need to get back into the swing of things. Avoid anything requiring building apparatus or that might not work. You need to get a small win, a base run, "selling a used car, not a new Jaguar". I don't know your exact field but a chemical example might be to just replicating a system you have done before and been published on with some different element or compound.



              Keep it simple, keep it small, get something done and published, even if very "datapoint" type learning. You won't get some huge attaboy from it, but at least you will be back in the game. If you try instead for some Hail Mary (hard problem) to compensate for past issues, it will be too tough and you will sputter out.



              Actually I even normally give the advice to grad students to start with (and maybe even stick with) easy stuff throughout their program. Picking the right problem is probably the key thing to having a decent grad school experience. [After that picking a decent advisor (that you get along with, not who is famous).] Chasing the Holy Grail, failing, and then not getting your Ph.D. is a bad feeling...or just sputtering around until they take pity on you and push you through. Once you have tenure, it is a different set of incentives and you can push the cutting edge projects (and/or even burn through grad students sending them after Holy Grails).






              share|improve this answer








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              • I am not sure if you have multiple "guest" accounts, if you do, please follow academia.stackexchange.com/help/merging-accounts to merge them. Thanks
                – scaaahu
                1 hour ago

















              up vote
              3
              down vote













              Concentrate on something easy that will end up being an "LPU" (least publishable unit). It won't be groundbreaking, it won't be cover of Nature. But it will be progress. You just need to get back into the swing of things. Avoid anything requiring building apparatus or that might not work. You need to get a small win, a base run, "selling a used car, not a new Jaguar". I don't know your exact field but a chemical example might be to just replicating a system you have done before and been published on with some different element or compound.



              Keep it simple, keep it small, get something done and published, even if very "datapoint" type learning. You won't get some huge attaboy from it, but at least you will be back in the game. If you try instead for some Hail Mary (hard problem) to compensate for past issues, it will be too tough and you will sputter out.



              Actually I even normally give the advice to grad students to start with (and maybe even stick with) easy stuff throughout their program. Picking the right problem is probably the key thing to having a decent grad school experience. [After that picking a decent advisor (that you get along with, not who is famous).] Chasing the Holy Grail, failing, and then not getting your Ph.D. is a bad feeling...or just sputtering around until they take pity on you and push you through. Once you have tenure, it is a different set of incentives and you can push the cutting edge projects (and/or even burn through grad students sending them after Holy Grails).






              share|improve this answer








              New contributor




              guest is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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              • I am not sure if you have multiple "guest" accounts, if you do, please follow academia.stackexchange.com/help/merging-accounts to merge them. Thanks
                – scaaahu
                1 hour ago















              up vote
              3
              down vote










              up vote
              3
              down vote









              Concentrate on something easy that will end up being an "LPU" (least publishable unit). It won't be groundbreaking, it won't be cover of Nature. But it will be progress. You just need to get back into the swing of things. Avoid anything requiring building apparatus or that might not work. You need to get a small win, a base run, "selling a used car, not a new Jaguar". I don't know your exact field but a chemical example might be to just replicating a system you have done before and been published on with some different element or compound.



              Keep it simple, keep it small, get something done and published, even if very "datapoint" type learning. You won't get some huge attaboy from it, but at least you will be back in the game. If you try instead for some Hail Mary (hard problem) to compensate for past issues, it will be too tough and you will sputter out.



              Actually I even normally give the advice to grad students to start with (and maybe even stick with) easy stuff throughout their program. Picking the right problem is probably the key thing to having a decent grad school experience. [After that picking a decent advisor (that you get along with, not who is famous).] Chasing the Holy Grail, failing, and then not getting your Ph.D. is a bad feeling...or just sputtering around until they take pity on you and push you through. Once you have tenure, it is a different set of incentives and you can push the cutting edge projects (and/or even burn through grad students sending them after Holy Grails).






              share|improve this answer








              New contributor




              guest is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
              Check out our Code of Conduct.









              Concentrate on something easy that will end up being an "LPU" (least publishable unit). It won't be groundbreaking, it won't be cover of Nature. But it will be progress. You just need to get back into the swing of things. Avoid anything requiring building apparatus or that might not work. You need to get a small win, a base run, "selling a used car, not a new Jaguar". I don't know your exact field but a chemical example might be to just replicating a system you have done before and been published on with some different element or compound.



              Keep it simple, keep it small, get something done and published, even if very "datapoint" type learning. You won't get some huge attaboy from it, but at least you will be back in the game. If you try instead for some Hail Mary (hard problem) to compensate for past issues, it will be too tough and you will sputter out.



              Actually I even normally give the advice to grad students to start with (and maybe even stick with) easy stuff throughout their program. Picking the right problem is probably the key thing to having a decent grad school experience. [After that picking a decent advisor (that you get along with, not who is famous).] Chasing the Holy Grail, failing, and then not getting your Ph.D. is a bad feeling...or just sputtering around until they take pity on you and push you through. Once you have tenure, it is a different set of incentives and you can push the cutting edge projects (and/or even burn through grad students sending them after Holy Grails).







              share|improve this answer








              New contributor




              guest is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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              share|improve this answer



              share|improve this answer






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              answered 2 hours ago









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              311




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              • I am not sure if you have multiple "guest" accounts, if you do, please follow academia.stackexchange.com/help/merging-accounts to merge them. Thanks
                – scaaahu
                1 hour ago




















              • I am not sure if you have multiple "guest" accounts, if you do, please follow academia.stackexchange.com/help/merging-accounts to merge them. Thanks
                – scaaahu
                1 hour ago


















              I am not sure if you have multiple "guest" accounts, if you do, please follow academia.stackexchange.com/help/merging-accounts to merge them. Thanks
              – scaaahu
              1 hour ago






              I am not sure if you have multiple "guest" accounts, if you do, please follow academia.stackexchange.com/help/merging-accounts to merge them. Thanks
              – scaaahu
              1 hour ago












              up vote
              1
              down vote













              I think that the other responses on here have been good, but I would also add that having the attitude of "Do it today, rather than tomorrow" can be surprisingly effective in boosting productivity. What I mean, is that there are always experiments or problems that don't have discreet time limits on them, meaning that it doesn't really matter in essence if you try the experiment today, tomorrow or sometime in the near future. However, you would be surprised how much more you can actually get done if you take the attitude that those types of experiments should be done as soon as possible, rather than delayed ("today" even). As scientists, we often learn more from our failures than we do from quick and easy successes. As a result, getting to those failures faster might seem like it's not worth it, but actually pays off in the long run.



              With regards to sharing concerns, I would definitely reach out to your lab-mates and other people you know the program (but maybe not your advisor depending on that relationship). I think you will find more sympathy there than you would expect, especially with an attitude that you would like to improve. Also, in my experience almost everyone in research is happy to discuss potential project ideas, at almost any stage.






              share|improve this answer








              New contributor




              Rhiom is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
              Check out our Code of Conduct.






















                up vote
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                I think that the other responses on here have been good, but I would also add that having the attitude of "Do it today, rather than tomorrow" can be surprisingly effective in boosting productivity. What I mean, is that there are always experiments or problems that don't have discreet time limits on them, meaning that it doesn't really matter in essence if you try the experiment today, tomorrow or sometime in the near future. However, you would be surprised how much more you can actually get done if you take the attitude that those types of experiments should be done as soon as possible, rather than delayed ("today" even). As scientists, we often learn more from our failures than we do from quick and easy successes. As a result, getting to those failures faster might seem like it's not worth it, but actually pays off in the long run.



                With regards to sharing concerns, I would definitely reach out to your lab-mates and other people you know the program (but maybe not your advisor depending on that relationship). I think you will find more sympathy there than you would expect, especially with an attitude that you would like to improve. Also, in my experience almost everyone in research is happy to discuss potential project ideas, at almost any stage.






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                  up vote
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                  down vote










                  up vote
                  1
                  down vote









                  I think that the other responses on here have been good, but I would also add that having the attitude of "Do it today, rather than tomorrow" can be surprisingly effective in boosting productivity. What I mean, is that there are always experiments or problems that don't have discreet time limits on them, meaning that it doesn't really matter in essence if you try the experiment today, tomorrow or sometime in the near future. However, you would be surprised how much more you can actually get done if you take the attitude that those types of experiments should be done as soon as possible, rather than delayed ("today" even). As scientists, we often learn more from our failures than we do from quick and easy successes. As a result, getting to those failures faster might seem like it's not worth it, but actually pays off in the long run.



                  With regards to sharing concerns, I would definitely reach out to your lab-mates and other people you know the program (but maybe not your advisor depending on that relationship). I think you will find more sympathy there than you would expect, especially with an attitude that you would like to improve. Also, in my experience almost everyone in research is happy to discuss potential project ideas, at almost any stage.






                  share|improve this answer








                  New contributor




                  Rhiom is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                  Check out our Code of Conduct.









                  I think that the other responses on here have been good, but I would also add that having the attitude of "Do it today, rather than tomorrow" can be surprisingly effective in boosting productivity. What I mean, is that there are always experiments or problems that don't have discreet time limits on them, meaning that it doesn't really matter in essence if you try the experiment today, tomorrow or sometime in the near future. However, you would be surprised how much more you can actually get done if you take the attitude that those types of experiments should be done as soon as possible, rather than delayed ("today" even). As scientists, we often learn more from our failures than we do from quick and easy successes. As a result, getting to those failures faster might seem like it's not worth it, but actually pays off in the long run.



                  With regards to sharing concerns, I would definitely reach out to your lab-mates and other people you know the program (but maybe not your advisor depending on that relationship). I think you will find more sympathy there than you would expect, especially with an attitude that you would like to improve. Also, in my experience almost everyone in research is happy to discuss potential project ideas, at almost any stage.







                  share|improve this answer








                  New contributor




                  Rhiom is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                  Check out our Code of Conduct.









                  share|improve this answer



                  share|improve this answer






                  New contributor




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                  answered 14 mins ago









                  Rhiom

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                  111




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                  New contributor





                  Rhiom is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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                  Rhiom is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                  Check out our Code of Conduct.






























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