A Quick Guide to Poster Presentations

Marvin Bennett

LSAMP Activity Coordinator

Thurs. 9am-5pm, P616

Weds. 9am-5pm, V806

Phone: 718-260-5529

mbennett@citytech.cuny.edu

www.projectstem.net

http:www.projectstem.netmailto:mbennett@citytech.cuny.edu

The Importance of Poster Sessions

• Present yourself and your work. • Personally interact with persons interested in

your work.

• Meet other researchers and potential employers.

• Develop presentation and inter-personal skills. • Get feedback on your research. • Standing makes everyone more fun and

dynamic.

What posters need to accomplish

• Attract visitors to come and speak with you

• Hold their attention so that you can talk to them.

• Communicate your research clearly and quickly.

• Meet the guidelines of the conference.

Pl.OS one

Testing the Effectiveness of an International Conservat ion Agreement: Marketplace Forensics and CITES Caviar Trade Regu lation l'tl.llMlr• D-altl~1.u., EIIM K. Pikltch ' , A..,.. llothtd'll ld ' , 11kr ---11

Guidelines for Poster Design

• Should appeal to your audience. • Text should be large enough to read from far

away.

• Should be easy to follow. The poster should guide the reader through.

• Contain simple, easy to understand illustrations.

• Text should be simple. Aim to have the audience get it in 30 to 60 seconds.

Planning the Poster

• Know who will be looking at your poster. • Determine the size of your poster. • Think visually: what size and proportions

will you be working with? Sketch your poster.

• List all the things that you want to communicate to your audience. Then list them in the order of importance. Focus on the top three.

General

More specific

Planning the Poster

• Develop a hierarchy of information. What is your key point? What do you need to support it? Do an outline.

• Provide detailed information in a handout that accompanies the poster.

Taken from: http://ianbrownlee.wordpress.com/2013/08/12/the-three-key-structures-of-effective-communication/

http://ianbrownlee.wordpress.com/2013/08/12/the

Landscape Portrait

Choosing a Layout

• Portrait vs Landscape.

• How many columns?

• Remember to get the paper size correct in PowerPoint.

• The important things go first on the poster.

Taken from: http://www.usabilityfirst.com/glossary/portrait-and-landscape/

Choosing a Layout

• Use gridlines to keep objects aligned.

• Keep enough empty space to separate objects on the poster. (40% graphics, 35% empty space, 25% text)

• If items are related then put them close together on the poster.

SERIF

Selecting Fonts and text

You may use sans serif fonts for titles and

• Use fonts that people are familiar with. • Use common serif fonts for the body text. •

labels.

Taken from: http://candelita.is/finding-perfect-font/

• Use no more than three different fonts on your poster.

• Write titles in ‘Sentence case’ instead of ‘Title Case’ or ‘ALL CAPS’.

http://candelita.is/finding-perfect-font

Selecting Fonts and text

• Use large fonts that can be read from at least 5 feet away. Use at least 48 point for titles and 24 point for body text.

• Use the active voice in writing.

• Edit out redundant references and filler phrases.

• Aim to have 800 words max.

;Plea$uttfan:d Pain of: ty.• :SM,rd,

Cite Your Sources!

Taken from: http://www.anselm.edu/Library/Research-Help/Research-Tutorials/Understanding-Citations.htm

http://www.anselm.edu/Library/Research-Help/Research-Tutorials/Understanding-Citations.htm

Using Colors

• Use text that has high contrast against the background. Black text on white background has excellent contrast.

• Choose colors that are ‘natural’ to your project.

Taken from: http://willkempartschool.com/beginners-colour-mixing-acrylic-paint/

http://willkempartschool.com/beginners-colour

Using Colors

• Selecting color schemes: pick two or three related colors. Use contrasting colors sparingly for impact.

• Keep backgrounds subtle, pastels and greys. Use bright colors sparingly.

• Pick colors with the colorblind in mind.

Taken from: http://scpvu.wordpress.com/2008/04/14/colorblindness/

http://scpvu.wordpress.com/2008/04/14/colorblindness

Using Images

• Use simplified graphs and charts instead of tables. Include more complex versions on a handout.

• Use bold lines in graphs so that they can be seen at distance.

• Use illustrations that show how the work was done.

• Use photos that were taken during your work. • Use high quality images.

Using Images

• Crop images so that the most important part is obvious.

• Give photos short titles.

• Label directly on maps/charts/ images instead of using legends.

• Place photos so that they are balanced. Do not place all pictures on one side of poster.

Making the poster

• Programs that can make a poster: QuarkXPress, InDesign, LaTeX, Scribus, Illustrator, CorelDRAW, Freehand, Omnigraffle, Inkscape, PosterGenius and PowerPoint.

• Get lots of people to critique your poster while you draft it.

• Save your poster in PDF form before printing it. PDF format allows you to see what it should look like before printing.

title title title title title title title title title title title title title title title title title title title title title title title title title title title title title title title title title title title

Introduction Blah, blah, blah.

Materials and methods Blah, blah, blah

Literature cited Blah. blah. and blah. 2012. Blahi ng. blahing. and more blahing.

Jo11rnal of Bfnhology I: 1-2. Blah. blah. and blah. 2012. Blahing. blahing. and more blahing.

Jo11rnolof8fl1hology 1;1-2. Blah. b lah. and blah. 2012. Blahi ng. blahing. 1md more blahing.

Author, Author, and Author Address(es)

Results 81:ih. blah.blah

Jm1rnal of Bluhology I: 1-2. Blah. bk1h. and blah. 20 12. Blahing. blahing. and more blahing.

Jm1rnal of Blahology I: 1-2. Blah. blah. and blah. 20 l 2. Blahing. blahing. and more blahing.

Jm1rnal oJB/ahology 1: 1-2. Blah. blah. and blah. 20 l 2. Blahing. blahing. and more blahing.

Journal oJBlllhology 1:1-2.

Acknowledgments Blah. b lah. blah

Conclusions Blah. blah. blah

Further information Blah. blah. blah.

Poster Template (Landscape)

title title title title title title title title title title title title title title title title title title title title title title

Author, Author, and Aut hor Address(es)

Introduction R~1bt'111M,bl:oh,blah--..·,t1,yow,,..,·n"bbh,blal>, .... Resu lts Hhoh.blah.b&ah

Materials and methods Rloh,bloh, Wah

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Literature cited Ulaa.blah.andhllh. 2012 Ut.h"'J.

bbh .. 1-..-.lrnottbb.111111-~o/ ~·1·1-2.

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Blaa.MM.andbbh.l01l.llt.11111&. bbl,., .. - rnottbbh"'i- .iowrt,,Jof B~· l el-2.

r.1aa.bllh.andbWi. 2012. ut.ti ... ,-bbh .. 1-andrnottbbh""'.-....Jo/

0

Conclusions Bltih.blah.bWl. fllah.llWl.bla. BWI.WIILblu.. BWI. bloh,bull. Bbli,bbh,blah. Rla,blah,blAh.Rbih,bW., llllfl. lmh..Wah.l!lati.Obli.bull.WMl. 8bli.Mall.blah. Blllft.bl.lh.bWl. lllah.W-".bWi. m.h.bl._t,IU, BL.ia,, bbh, luh. Hlah,boh, blah. Rlal,,blah,t,bh.Alab.,blah, bbll.lflah.bbh,Mah.Ua.J,,bbil,blah.BLah.blah.blah. 81"".bloll.hbll. Blob,Woh.hl.ol\, Blah,......,,blah,BL>a,, blah, lulrl. Rlali, bloh, bl.i.. Bia, blah. bWL Ria. blah. ""'1. lllah.blah,bholl. 81.,h.blab,blab. Blah. blab.blah. 11\ah.blah,bbh.Bl&h.llWl.hLlllo.llllh,bl;oh.blal!o. llLlli. bbh,bbli,. Rlah,bbh,blah. Bbli.blah.l>lah.Blah.blah. Wall.Blah.blah,blall_ UW.,bbh,blah.81ah.blal>,blah. llloh.blah.blah. UW..bbh,bbl,. Ubh,blah,blah. Blah, bWl.bl.ah. BW..bbh,blM. BLM.blah.Mah.BLlll.blah. -..lflah.bWl,blail:i. Rbh.bl.ol,,blah.Bbtcbbh.blah. B\ah.blah.llWI. BIIIL.WIILW.. Bbh.Mah.Mah. BIM.

0 0 0

blah,blah..llloll.blah.Woh. lllah.bllll.blolo.Dbll.Mall. blab.lli.,bld,bllll.Blah.bloh,w.l, . 8 1All.hWl.bl:IIL 81.ih.bla.blM. 81.ih. bl.a.blah. Blah.. blah.bWI. Blah. bloh.bloh.Rloh,bloh.bbh. ll!oh.b&oh.hWI.Rlah,bbh, blall.Hlali.blolt.. blah.lJl.blah.llbll. OW..Wlh.bbh, 8111>.bw-.bl .... Bbh.blah.blah.BIJll.blah.bWI 8W.. blah,t,bh.Blah,blah,blah. lllah,blah,bbli.Rlah,bbh, blab.BW.,bloh,bloh.Hlah,blah,Wah. HW..blah,blalt 81ah.blall, bloh.Bbh.blah,blohElloh.blah.Wah, Blah. blah.bbh.Bloh,bbh,bWi llloh,blah,.bbli. Rtah,bbh, blah.Blaft.blllll.blah.Ulah.blah.w.11.Blah.Wlh.blall.

for~lile·~J

l.j$/ON$: OUr VJeW 'ttat weq1I and we(t)t gu, wo\jd be zero In space was confwmed Although we have not repl1ca1ed this expenmem oo larger animals or pnma.tes, we a1e confidem lhat our reut wouki be mnored in Olher model Dfgamsms We aJe OJ nentfy in the pr~ of obtmr,g necessary human tnal permrssoos, and shouk:i have our plarv1ed expermerr initialed wnhin 80 years, pencing expedited revle'W by bcal and Fede1allRBs

Lf[ERATURE CITED: NASA 1962 P1otect STS-XX Guinea Pigs Leaked 11temal memo Setuloc , S A • D D Lukat, and N M NaumoVlf 2005 The FelUS GaMO! Exe,ase Like An Astronaut G1aV1ty Loading

IS Necessa,y fo, The f'hys,oog!Clll Oeveq,ment Dumg Secmd Hal Of P1egumcy Medi~ Hypolheses 64 221-228

Xavier, M 1965 Elas1ane Pu1chases Aa:elerale Weight Ga,n ll Gase-con11ol Study ~ 23--40

Badly Designed Poster

Man-Duen Choi, Nathaniel Johnsto n, and David W . Kribs Department of Mat he matics, Unive rs ity of Toronto Department of Mat hemat ics & Stat ist ics, University of Guelph

Mathematical Basics

Let 1t be 11, finite-dimensional Hilbert. space and let .C(rt) be the- i;ct. of line:>-.r operators oa 1-t. • A complctcly pootiw (CP) t.raoo-p,""""i~

Linea, rnap £ : £(1l) - £ (1(J is coiled • quan!um channel.

• t: is said t.o be unital if £(/11) = 111. • A and B arc called gub9YsttmB of 1-t if we can

write 1i = (.A ® B) EB (.A ® B)' .

Correctable Subsystems

Gi\'t:n a quantum channel E, R. sub.yst.cm B ol 1t is said t.o be a com:dabk subsyst.cm Ill if there c:wta a qUAJ1tum elm.noel 1l. such thaL

Vu>l , u H 3TA s.L R. o E(a ..... ®aJ:I } = TA ®a 11. • 1'hc- cbaancl R. is knm-.·n M the n:an.'Cry

opcrot:-ion. .. We cs.n docompose R,. into a ~ ·o step form:

0 Pcrbm JI. projecl.i¥1! lfllell,lf\IH!meol. & Coaj11~ by -ti- unitary (• ·l11d1i cw:i depend Oil t.be rm11.lt.

ofl'befDC81llTC-l).

• If 'R, = id'ff is the iclcatit;y map then B is cal a noise/us ubsyst.cm (2] .

l'i f!:Ure I: A o::ir~W! 11td111y!t.cm, depid.a:l .ss 11. .sub..blocl.: or the oper~ ading oo, Ute Hllberi IIJ:'8D=. 'fa a:irmd the error , prqeci, onlo COi! m lhe t hree r1!1ultmg sub-blcxb sod then caij u~i.e by .y. 11niltlry.

Unitarily-Correctable Codes

A oorroctahlc subaystcrn B is said to be a umtarilycorratabk code (U~) for f if the rcoovt!ry operation is s.im p!}• a o:mjugalion-by-unitary channel U(-):=U(-)U".

• SiDCC finding oorrcctRhlc subsystems in fu ll gener

ality is 1U1 cctrcmcly d ifficult. problem, rcELricti~ our at tention to unita,ily-correct.H.b'° coda. SOC:ln!I potcntia!ly w iE£ .

• 'l'ha;c ooda. arc of physical interest:; they arc oodiES

i:n which the W.·0-W:::p pr'Oa2:a of room1uy only in\'Ol \'a. the conjuga tion-by-unitary Bt.ep (and not the projoctii.""C IDC&Eurcmcnt sl:.E:p ) .

• I l hM bcrn i;h.,., n [3J thAt if • qWIJlturn cbannel £. iE unit al, then '\\"C CR.Jl unambigooUEly dcfi nc lhc uni!arily-rorndablo rode algebra of f , dcnot UCC(t:), t.o be the albebraoomposo:I of tbc d iroet sum of all of the unitarliy-co.rrcctabl.e oodfl:i...

• In tams of Figure l, unit a,ily--oorrret.a.blc oodiEB arc t bOBI! fo r which Pl = 1 and Pl = Pl = 0 (Le., there is j ust ooc block on the right)-

The Multipllcative Domain

The mmtiplica!iu,: domain of f (4) , dcookd M D( t: ), ill dciinod to be !.he foll""' il!Jl 6ci.:

[a E £ (1i): l (a) [ (b) = £ (ab) an t:(b)t:(a) = t:(ba) >, b E £(1fJI-

• E bcha\'cs pa,Ucularly nicdy when ra.t rictod to M D(t:) {M .. -hornomorphisbm, in fad).

• MD( t:) waa ii.rsl Blu ied by operator thooriata O\'tt thirty }'Cara ago .

• M D(t:) is on ~ ra, an ha,.., 15[ is unitarily equivalent to 11. direct. sum of tensor blocks:

MD(t:) ~ (!)>[l..., ® £ (Bo)) © 0~. ( ! )

t, igu:-c 2: 'rne s:t,.NJII of ~ q uy,rilu:m m&n:ncl Oil it.s mul.ip-liCijf.ivedoml,l.in.

By looking a l fi' igurcs l and 2, we ccpoct t hat there mi~l be some ronnll'C't.Hm bct.w ocn oorrcct.abk subsyatcm.s fo r R. channel £. and i ts multiplicat ive dolllAin. Indeed, one of our mA.in ramlts is t hat t he two situations ooincidc when f is unital an the subsyat.an is unit.arily-mm ::rtablc .

Main Result

Theo.- m. Let E be a unital quantum channel. Then M D(t:) = UCG(t: )_ - 'l'his thoorcm says that wh£D we write M /J(f ) in

thclorm of EqUAlioo (1), the Bo's arc cxaci.ly the unit arily--mrrcrtahlc codea £Of £ .

• When £ is not un it al, M D([ ) in gcncra1 on ly captu_rcg a su~ of the unitsril}·--oorrect.ablr: codiES

for £ .

• B"""""' MD(£ ) is easy t.o compute, this provida, R. concrete method of 6 ndi n,(!; EDrnr: l:CX'e.

Generalization

In the same spi.rit. P~ the multiplica.t ii.""C domain, ~ "C can define "gcnaalizcd multiplicat.i,;""C d omains" f01 channclii by n:quir lng oot that t.hc channel be muJtiplics.t r\'C w ith itsclf, but rat.her that it be multip licali'V':: with some •-homomorphism.

• Ccncralrt..00 multiplicati\'C domains capture aH oorroctable coda. for arlmrnry channels..

• Unlikn the mu.Jt iplicat i\'C domain, t hese a!gcbrl!:..5 in

general are very &fficult to compute .

Condusions and Outlook

This characterization provides a simple way to find al.I unit arily--oxrretablc ooda. fo r unit.a.I chanoc.ls IUJ .:-.i::n romc codm for non-unit.a.I channels. Gcn-aal oom:clabJc su bi.-yslcta& can be cba,act.eri:r.cxl in terms of Bl.gebras that are an~us to the mult i-plicat.i\-c domR.in, thouJ?:h in ,!!;cncra.l it is not dear boo• to calculate them furt her rcsca,ch in t his M'Ca

woul be of ~cal int.amt..

For Further Information

Jbr the ~ls or 011r •'«k:: • Chx, M.-l)., Jobmto11, N., 11,Dd Ktiha, D. VJ .. Journal 0£

P~A: My,t. '-ny,tictJ .y.nd 'r~ 42, ~53l3. (mD9)_

• Jolm::km, N., e,.nd Krihs, D. Vl., GCTN:mli:m M rrlfi-pliail:il'e Domai:ru and {}aantf.lm Ernw C«ndion (2009, preprirt.).

Prq,nnt.11 e,.nd t..b.is pill!!U!" l!lltl be da..•nlasded from: . ,._._,_,~iV..Gf"!

• • ,.. ... 1}81.hsnx:ljohnston.~m

References

II I 0 . W. Kriba, R l-&ih1,mmc, D. PouS:n, .\ t IJC!'!Olky, QLQnt.um Inf. 11: C.omp. 8 {3!06) , 31n-399 .

l2J I'. 7-..f;, ~t 11-ti, Ph,,. lb. I&. 79, 3"J6 (1997). 131 D. W. Kriba, R W. Sp,cileM, Pby~ ltev. A 7d., Ot.'2329

(2006J-,., M_-D_ Coo, lit;,.,;, J. M•lh. , l (1!174), 565-o,I.

151 K llO.,,.J.m, C- .• ,...,,., .. a=p/,;fWd. lmf.iW~ MorlC!;r.ypb.5, 6. Arner-qn M-:tilicmatil!ld Soad.y, P,.,..feoa; Ill , 1991i

Acknowledgements

M..-D.C. •"811- aupJKJrtcd by -e111 :---'SUlC I~ Crant.. N.J. ,..-81, 5IIJIPOfl.ecl by sn NSERC ~ Gnid11111..! Scholw:sh1p ~ t.Le U11ivemity or C ue\ib. Hrodi: S:holJ:1,t11b.ip. D.V,1.K. • ·5S SJPPDriLll by sn NSUlC 0 ~ Crp. and D~ >~Supplement., snOni.&rio ~ ly I~ , Aa·ll,-.~ 1 p:I CIF, 011.

U N IV ERS!T\ " GU[ ! I'll

Examples of Effective Posters

protein functional sites with unsupervised techniques Shirley Wu 1, Russ B. Altman2

Motivation Characterizing protein function - for example, what molecules they bind and interact with - is important for understanding biological processes. We can use this knowledge to engineer therapeutics and other beneficial biology. ~ ~ (

_..., ~ ?

-. -. ? Computational methods are fast and inexpensive, allowing high-throughput prediction of protein function. Most methods are supervised approaches, i.e. they use available data about known proteins and functions to make predictions. Thanks to genomics. researchers are now discovering novel proteins at a tremendous rate. We therefore need methods to identify new functions in proteins as opposed to methods that only recognize known functions.

?? ~. ?

• ••• •• ••• • • •• •••••• • •••••••••

feature vectors

10,1,o.s.0,0.143, ... J (0,0,0 . 8,1,0 991, •.. )

We represent mlcroenvironments with vectors of physical and chemical features calculated within a small spherical volume centered on the site of interest.

1s,1,o . o. o.o 016 ,. .. J We use k-means clustering to group together millions of such microenvironments computed from protein strucfures in the Protein Data Bank (PDB) .

k-means clustering

Yoon er oi (2007/ ·=· ,: ••• •• •• •• • • •• •• • ••• • • clusters of similar mlcroenvlronments represent putative functional sites

lntrocluster external slmllorlty via literature hierorchlcal clustering similarity

re~ +

genotype from phenotype Michael D. Barton, Hazel A. Barton University of Akron

www.michaelbarton.me.uk

CJ

! c::i .. c::, c::, ..

- ,m = ,1rylsulfotr,1nsftrilse sllns· rtsponsep,ohin D hyd1olue = arylsulfotransftrast

mtmbr1ntp1ohin = hyp0thttiulp1ottin = hypothttiu1protein =

tr;inscripli0nillr11uli1lor = 1nlric lian1nd0nuclusesubunil = RNA:NADz' '- phasphatunsferut =

Examples of Effective Posters

How to Dress for a Poster Session

• Dress for success! Think of your poster session as a job interview.

• Look neat and polished. • For men: wear a suit or button-up shirt with

a tie and khaki pants.

• For women: wear a power suit or a button-up shirt with slacks or a dress.

• Wear comfortable shoes that match your outfit.

What to Bring to Your Poster Session

• Take a note pad and pen.

• Extra thumbtacks.

• Tape or another adhesive.

• Copies of a handout with detailed information on your project.

The Day of the Poster Session

• Stay close to your poster and be available for discussion.

• Do not chew gum while by poster.

• Do not refer to your notes wile explaining your poster. Know your stuff.

• Speak directly to your viewers, not the poster.

• Thank your viewers for visiting your poster.

References

• Barton, Michael. Poster: Predicting genotype from phenotype. Retrieved from http://www.bioinformaticszen.com/post/genotype-from-phenotype/

• Graphic designers of TLT (2005). Designing Communications for a Poster Fair. Retrieved from http://www.personal.psu.edu/drs18/postershow/

• Graphic designers of TLT (2005). Judging Guidelines: An example for designers. Retrieved from http://www.personal.psu.edu/drs18/postershow/judges.html

• Purrington, Colin. Designing conference posters. Retrieved from http://colinpurrington.com/tips/academic/posterdesign

• Ritchison, Gary. Poster Presentations. Retrieved from http://people.eku.edu/ritchisong/posterpres.html

• Wu, Shirley. Poster redux. Retrieved from http://shirleywho.wordpress.com/2009/03/05/poster-redux/

• Zielinska, Edyta. Poster Perfect: How to drive home your science with a visually pleasing poster. Retrieved from http://www.the-scientist.com/?articles.view/articleNo/31071/title/Poster-Perfect/

http://www.thehttp://shirleywho.wordpress.com/2009/03/05/poster-reduxhttp://people.eku.edu/ritchisong/posterpres.htmlhttp://colinpurrington.com/tips/academic/posterdesignhttp://www.personal.psu.edu/drs18/postershow/judges.htmlhttp://www.personal.psu.edu/drs18/postershowhttp://www.bioinformaticszen.com/post/genotype-from-phenotype

Structure BookmarksA Quick Guide to Poster Presentations A Quick Guide to Poster Presentations Marvin Bennett LSAMP Activity Coordinator Thurs. 9am-5pm, P616 Weds. 9am-5pm, V806 Phone: 718-260-5529 mbennett@citytech.cuny.edu www.projectstem.net

The Importance of Poster Sessions • • • Present yourself and your work.

• • Personally interact with persons interested in your work.

• • Meet other researchers and potential employers.

• • Develop presentation and inter-personal skills.

• • Get feedback on your research.

• • Standing makes everyone more fun and dynamic.

What posters need to accomplish • • • Attract visitors to come and speak with you

• • Hold their attention so that you can talk to them.

• • Communicate your research clearly and quickly.

• • Meet the guidelines of the conference.

Elements of a poster • • • Title Title StyleSpanFigure

• • Introduction

• • Methods

• • Results

• • Conclusions

• • Acknowledgments (optional)

• • References (use short in-text citations instead of a section)

Guidelines for Poster Design • • • Should appeal to your audience.

• • Text should be large enough to read from far away.

• • Should be easy to follow. The poster should guide the reader through.

• • Contain simple, easy to understand illustrations.

• • Text should be simple. Aim to have the audience get it in 30 to 60 seconds.

Planning the Poster • • • Know who will be looking at your poster.

• • Determine the size of your poster.

• • Think visually: what size and proportions will you be working with? Sketch your poster.

• • List all the things that you want to communicate to your audience. Then list them in the order of importance. Focus on the top three.

Planning the Poster • • • Develop a hierarchy of information. What is your key point? What do you need to support it? Do an outline.

• • Provide detailed information in a handout that accompanies the poster.

Figurethree-key-structures-of-effective-communication/ Taken from: http://ianbrownlee.wordpress.com/2013/08/12/the-

Choosing a Layout • • • Portrait vs Landscape.

• • How many columns?

• • Remember to get the paper size correct in PowerPoint.

• The important things go first on the poster. Taken from: http://www.usabilityfirst.com/glossary/portrait-and-landscape/ Choosing a Layout • • • Use gridlines to keep objects aligned.

• • Keep enough empty space to separate objects on the poster. (40% graphics, 35% empty space, 25% text)

• • If items are related then put them close together on the poster.

Selecting Fonts and text You may use sans serif fonts for titles and You may use sans serif fonts for titles and • • • Use fonts that people are familiar with.

• • Use common serif fonts for the body text. •

labels. Taken from: http://candelita.is/finding-perfect-font/ • • • Use no more than three different fonts on your poster.

• • Write titles in ‘Sentence case’ instead of ‘Title Case’ or ‘ALL CAPS’.

Selecting Fonts and text • • • Use large fonts that can be read from at least 5 feet away. Use at least 48 point for titles and 24 point for body text.

• • Use the active voice in writing.

• • Edit out redundant references and filler phrases.

• • Aim to have 800 words max.

Cite Your Sources! FigureTaken from: http://www.anselm.edu/Library/Research-Help/Research-Tutorials/Understanding-Citations.htm Taken from: http://www.anselm.edu/Library/Research-Help/Research-Tutorials/Understanding-Citations.htm

Using Colors • • • Use text that has high contrast against the background. Black text on white background has excellent contrast.

• • Choose colors that are ‘natural’ to your

project. -mixing-acrylic-paint/ FigureTaken from: http://willkempartschool.com/beginners-colour

Using Colors • • • Selecting color schemes: pick two or three related colors. Use contrasting colors sparingly for impact.

• • Keep backgrounds subtle, pastels and greys. Use bright colors sparingly.

• • Pick colors with the colorblind in mind.

FigureTaken from: http://scpvu.wordpress.com/2008/04/14/colorblindness/ Taken from: http://scpvu.wordpress.com/2008/04/14/colorblindness/

Using Images • • • Use simplified graphs and charts instead of tables. Include more complex versions on a handout.

• • Use bold lines in graphs so that they can be seen at distance.

• • Use illustrations that show how the work was done.

• • Use photos that were taken during your work.

• • Use high quality images.

Using Images • • • Crop images so that the most important part is obvious.

• • Give photos short titles.

• • Label directly on maps/charts/ images instead of using legends.

• • Place photos so that they are balanced. Do not place all pictures on one side of poster.

Making the poster • • • Programs that can make a poster: QuarkXPress, InDesign, LaTeX, Scribus, Illustrator, CorelDRAW, Freehand, Omnigraffle, Inkscape, PosterGenius and PowerPoint.

• • Get lots of people to critique your poster while you draft it.

• • Save your poster in PDF form before printing it. PDF format allows you to see what it should look like before printing.

Poster Template (Landscape) PFigure

Poster Template (Portrait) PFigure

Badly Designed Poster PFigure

Examples of Effective Posters PFigure

Examples of Effective Posters PFigure

Examples of Effective Posters PFigure

How to Dress for a Poster Session • • • Dress for success! Think of your poster session as a job interview.

• • Look neat and polished.

• • For men: wear a suit or button-up shirt with a tie and khaki pants.

• • For women: wear a power suit or a button-up shirt with slacks or a dress.

• • Wear comfortable shoes that match your outfit.

What to Bring to Your Poster Session • • • Take a note pad and pen.

• • Extra thumbtacks.

• • Tape or another adhesive.

• • Copies of a handout with detailed information on your project.

The Day of the Poster Session • • • Stay close to your poster and be available for discussion.

• • Do not chew gum while by poster.

• • Do not refer to your notes wile explaining your poster. Know your stuff.

• • Speak directly to your viewers, not the poster.

• • Thank your viewers for visiting your poster.

References • • • Barton, Michael. Poster: Predicting genotype from phenotype. Retrieved from / http://www.bioinformaticszen.com/post/genotype-from-phenotype

• • Graphic designers of TLT (2005). Designing Communications for a Poster Fair. / Retrieved from http://www.personal.psu.edu/drs18/postershow

• • Graphic designers of TLT (2005). Judging Guidelines: An example for designers. Retrieved from http://www.personal.psu.edu/drs18/postershow/judges.html

• • Purrington, Colin. Designing conference posters. Retrieved from http://colinpurrington.com/tips/academic/posterdesign

• • Ritchison, Gary. Poster Presentations. Retrieved from http://people.eku.edu/ritchisong/posterpres.html

• • Wu, Shirley. Poster redux. Retrieved from / http://shirleywho.wordpress.com/2009/03/05/poster-redux

• • Zielinska, Edyta. Poster Perfect: How to drive home your science with a visually -scientist.com/?articles.view/articleNo/31071/title/Poster-Perfect/ pleasing poster. Retrieved from http://www.the