Posts tagged seminars

Attending research seminars

Most research stu­dents don’t seem to attend sem­i­nars. When asked, they usu­ally say the sem­i­nars are not on their topic, or they don’t under­stand them, or they find them bor­ing, or some other sim­i­lar rea­son. I think this is because stu­dents don’t under­stand the pur­pose of research sem­i­nars, and have not learned how to lis­ten to them.

Admit­tedly, many research sem­i­nars are badly pre­sented, and sem­i­nar speak­ers also fre­quently mis­un­der­stand the pur­pose of the sem­i­nar, which makes the prob­lem worse. In a pos­si­bly vain attempt to improve the sit­u­a­tion, here are some thoughts on attend­ing research seminars.

First, some advice to speak­ers: under­stand that sem­i­nars are intended to pro­vide brief and infor­mal tasters of a wide range of research. Peo­ple will get the detailed and for­mal ver­sion of research in the pub­lished papers. But often an infor­mal expla­na­tion with­out the details is more acces­si­ble. Also, a speaker can pro­vide the back­ground overview that is often miss­ing in the pub­lished papers. Speak­ers need to realise that there is no need to present detailed proofs, tables, and tech­ni­cal­i­ties — a sem­i­nar is a very poor medium for pro­vid­ing details about sta­tis­ti­cal and econo­met­ric research. You have given a suc­cess­ful sem­i­nar if every­one in the audi­ence has some idea about what you’ve done, most peo­ple in the audi­ence have been able to fol­low all of it, and you have inspired at least some peo­ple to read the paper.

Assum­ing speak­ers are doing that, here are some tips for stu­dents attend­ing research sem­i­nars. Note that much of this advice is adapted from Ravi Vakil, a Stan­ford mathematician.

  • Go to research sem­i­nars from the time you begin your research degree. Don’t just go to sem­i­nars that you think are directly related to what you do (or more pre­cisely, what you cur­rently think you cur­rently do). Learn­ing to get infor­ma­tion out of research sem­i­nars is an acquired skill.
  • Don’t worry if you lose the thread of a talk. Just try to get back on track again. Let the ideas flow past and try to learn some­thing from what is being said, even if it is just the words and terms that are being used.
  • Ask ques­tions. Try to make a per­sonal rule to ask at least one ques­tion at each sem­i­nar you attend. Sim­ply try­ing to for­mu­late a mean­ing­ful ques­tion will help you focus on what is being said and aid your under­stand­ing. Fur­ther­more, you might learn some­thing from the answer. Often the best parts of a sem­i­nar are in the dis­cus­sion. But if there aren’t many ques­tions, the oppor­tu­nity is lost.
  • At the end of the talk, you should try to answer these ques­tions: What research prob­lem was the speaker address­ing?  Why should we care about them? Is this prob­lem related to any other prob­lems I know about? It can help to write down these ques­tions at the start of the talk, and jot down answers to them dur­ing the talk.
  • List any ter­mi­nol­ogy the speaker uses that you don’t know the mean­ing of. Then either ask the speaker to explain, or ask your super­vi­sor afterwards.
  • See if you can get one les­son from the talk, no mat­ter how sim­ple. It might be about data analy­sis, or a math­e­mat­i­cal tech­nique used, or how to think about a cer­tain type of prob­lem, or what­ever. If you learn one les­son from each talk, your knowl­edge of sta­tis­tics and econo­met­rics will steadily grow. If you are unable to learn even one thing from a talk, think about what the speaker could have done dif­fer­ently so that you could have learned some­thing. Then you will learn about giv­ing good talks by think­ing about what makes bad talks bad.
  • Ideas for your the­sis or next paper may well come out of an idea you have while sit­ting in a sem­i­nar. All of my papers on func­tional data analy­sis came about after I heard Jim Ram­say give a talk at a con­fer­ence. I didn’t even know func­tional data analy­sis was rel­e­vant to my work on mor­tal­ity fore­cast­ing until I heard his talk.
  • Go to sem­i­nar din­ners when at all pos­si­ble, even though it might be scary, and no one else is going. Ask the sem­i­nar orga­nizer to add you to the list of peo­ple he/she cir­cu­lates about the din­ner arrangements.
  • Go to work­shops and con­fer­ences, so you have a rea­son­able idea of what is hap­pen­ing in other parts of sta­tis­tics and econo­met­rics. It is amaz­ing what can become rel­e­vant to your research. You won’t believe it until it hap­pens to you. And it won’t hap­pen to you unless you go.
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The 7 secrets of highly successful PhD students

It seems every­one has 7 secrets to suc­cess, and now some­one has hopped on the 7-secrets band­wagon with some­thing for PhD stu­dents. Thinkwell is an Aus­tralian com­pany offer­ing a sem­i­nar and asso­ci­ated work book on “The 7 secrets of highly suc­cess­ful PhD stu­dents”. I bought the book out of curios­ity, but “book” is a gross exag­ger­a­tion — only eleven pages of fairly sim­plis­tic advice. I hope the sem­i­nar has more sub­stance. For what it’s worth, here are the so-called seven secrets.

  1. Care and main­te­nance of your supervisor.
  2. Write and show as you go.
  3. Be real­is­tic.
  4. Say no to distractions.
  5. It’s a job.
  6. Get help.
  7. You can do it.

If you can work out what is meant from those head­ings, you’re doing bet­ter than me. After read­ing the “book”, I think a bet­ter sum­mary would be as follows.

  1. Meet reg­u­larly with your supervisor.
  2. Write up your research ideas as you go.
  3. Have real­is­tic research goals.
  4. Beware of dis­trac­tions and other commitments.
  5. Set reg­u­lar hours and take holidays.
  6. Make full use of the avail­able help.
  7. Per­se­vere.

Noth­ing too sur­pris­ing there. Per­haps it should have been called “Seven obvi­ous things PhD stu­dents should already know”.

If I haven’t put you all off, one of the authors is pre­sent­ing the sem­i­nar at Monash in a cou­ple of weeks. The details are as follows.

  • Pre­sen­ter:  Maria Gar­diner — iThinkwell
  • Date: Fri­day 16 Octo­ber, 2009
  • Time: 9:30am — 12:30pm
  • Venue: The­atre R2, Build­ing 8 (Rotunda), Clayton

Book­ings are essen­tial (Monash stu­dents only)

The same authors have writ­ten sev­eral other book­lets includ­ing “Time for research: time man­age­ment for PhD stu­dents”, “The PhD expe­ri­ence: what they didn’t tell you at induc­tion” and “Defeat­ing self-sabotage: get­ting your PhD fin­ished”. They are dread­fully over-priced and light-weight, but con­tain some snip­pets of use­ful advice. Stu­dents at Monash can bor­row the books from me.

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Giving a research seminar

With con­fer­ence sea­son almost upon us, it is timely to dis­cuss what makes a good con­fer­ence pre­sen­ta­tion.
Here is a sug­gested structure.

  1. A motiv­i­tat­ing exam­ple demostrat­ing the prob­lem you are try­ing to solve.
  2. Explain exist­ing approaches to the prob­lem and their weaknesses.
  3. Describe your main contributions.
  4. Show how your ideas solve the problem/example you started with.

That won’t nec­es­sar­ily work for every talk, but it is a good place to start. In par­tic­u­lar, begin­ning with a moti­vat­ing exam­ple is much bet­ter than set­ting up the prob­lem algebraically.

Fur­ther suggestions:
  • Use beamer with this tem­plate.
  • Use a max­i­mum of 20 slides for a 20 minute con­fer­ence presentation.
  • Assume the audi­ence knows about what you did at the start of your research in this area. That is, prob­a­bly not much. You can assume stan­dard mate­r­ial taught to under­grad­u­ates (regres­sion, ARIMA mod­els, etc.), but don’t assume they already know what you have spent long hours learn­ing on your own.
  • Give only the most nec­es­sary math­e­mat­i­cal details. Peo­ple do not quickly absorb math­e­mat­i­cal equa­tions so don’t give any more than you have to. Never give proofs.
  • When you do include some alge­bra, define all terms used. Why make the audi­ence guess?
  • Use graphs instead of tables where possible.
  • Where pos­si­ble, let the graph fill the slide. The com­mand \fullwidth{file} is useful.
  • Use \begin{block}...\end{block} to high­light equa­tions or impor­tant information.
  • Use \structure{...} to high­light head­ings on slides.
  • Do not use equa­tion num­ber­ing, fig­ure num­ber­ing, etc. The lis­ten­ers can’t go back and see which one you are refer­ring to.
  • At the bot­tom of the last slide, give your web­site or email address for peo­ple to con­tact you if they want to read the paper or down­load your R code.
  • Go through all your slides and see what you can remove. Less text is better.
  • Go through all your slides again and check that the titles are empha­siz­ing the right thing. Fix them where necessary.
  • Go through all your slides again just to make sure you can’t see any­thing that could be improved.
  • Read Jonathan Shewchuk’s advice on giv­ing an aca­d­e­mic talk.
  • Prac­tise. Out loud. Stand­ing up. Using a data projector.

Using beamer

After you’ve done a pre­sen­ta­tion or two based on the tem­plate pro­vided above, you will prob­a­bly want to learn more about beamer and what it can do. A good place to start is the beamer quick­start tuto­r­ial. But even­tu­ally, you will have to knuckle down and read the beamer user guide. (OK, it is too long and rather com­pli­cated. But at least read some of it.)

Some of the above com­ments assume you have installed the Hytex theme from the monash.zip file as explained on my LaTeX page.

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